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Original Research| Volume 157, P308-347, November 2021

The European cancer burden in 2020: Incidence and mortality estimates for 40 countries and 25 major cancers

Open AccessPublished:September 21, 2021DOI:https://doi.org/10.1016/j.ejca.2021.07.039

      Highlights

      • The 2020 incidence estimates derived from 151 population-based cancer registries' data.
      • Over 4 million new cancer cases and 1.9 million cancer-related deaths are estimated in Europe for 2020.
      • Half the overall cancer diagnoses are from breast , colorectal , lung and prostate cancers.
      • The most common cancer-related deaths are from lung , colorectal , breast and pancreatic cancers.
      • The 2020 estimates are key to assess and monitor cancer-control measures across Europe.

      Abstract

      Introduction

      Europe is an important focus for compiling accurate and up-to-date world cancer statistics owing to its large share of the world's total cancer burden. This article presents incidence and mortality estimates for 25 major cancers across 40 individual countries within European areas and the European Union (EU-27) for the year 2020.

      Methods

      The estimated national incidence and mortality rates are based on statistical methodology previously applied and verified using the most recently collected incidence data from 151 population-based cancer registries, mortality data and 2020 population estimates.

      Results

      Estimates reveal 4 million new cases of cancer (excluding non-melanoma skin cancer) and 1.9 million cancer-related deaths. The most common cancers are: breast in women (530,000 cases), colorectum (520,000), lung (480,000) and prostate (470,000). These four cancers account for half the overall cancer burden in Europe. The most common causes of cancer deaths are: lung (380,000), colorectal (250,000), breast (140,000) and pancreatic (130,000) cancers. In EU-27, the estimated new cancer cases are approximately 1.4 million in males and 1.2 million in females, with over 710,000 estimated cancer deaths in males and 560,000 in females.

      Conclusion

      The 2020 estimates provide a basis for establishing priorities in cancer-control measures across Europe. The long-established role of cancer registries in cancer surveillance and the evaluation of cancer control measures remain fundamental in formulating and adapting national cancer plans and pan-European health policies. Given the estimates are built on recorded data prior to the onset of coronavirus disease 2019 (COVID-19), they do not take into account the impact of the pandemic.

      Keywords

      1. Introduction

      Cancer accounts for a greater number of deaths among persons aged under 65 years than any other disease in the member states of the European Union (EU) [

      Eurostat. Causes of Death statistics (hlth_cd_asdr2). Available at: https://ec.europa.eu/eurostat/web/main/data/database. [Last accessed 1 April 2021].

      ]. Cancer is a major public concern on the continent: almost one-quarter of all global cancer cases occur in Europe, which is home to only one-tenth of the world's population [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Mathers C.
      • Parkin D.M.
      • Piñeros M.
      • et al.
      Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.
      ,

      United Nations, Population division. World Population Prospects, the 2017 revision. https://esa.un.org/unpd/wpp/. [Accessed March 2021].

      ]. In economic terms, cancer cost the EU almost €97 billion in 2018 [
      • Hofmarcher T.
      • Lindgren P.
      • Wilking N.
      • Jönsson B.
      The cost of cancer in Europe 2018.
      ]. Estimates of cancer burden at the national level are based on population-based cancer registry data and provide an important motivator for cancer-control policies. In Europe, the individual members of the European Network of Cancer Registries (ENCR, http://www.encr.eu/) are the institutions hosting the national or regional cancer-registry information systems providing this baseline information.
      European estimates of the cancer burden have been made available for over 30 years [
      • Jensen O.M.
      • Estève J.
      • Møller H.
      • Renard H.
      Cancer in the European Community and its member states.
      ,
      • Black R.J.
      • Bray F.
      • Ferlay J.
      • Parkin D.M.
      Cancer incidence and mortality in the European Union: cancer registry data and estimates of national incidence for 1990.
      ,
      • Bray F.
      • Sankila R.
      • Ferlay J.
      • Parkin D.M.
      Estimates of cancer incidence and mortality in Europe in 1995.
      ,
      • Boyle P.
      • Ferlay J.
      Cancer incidence and mortality in Europe, 2004.
      ,
      • Ferlay J.
      • Autier P.
      • Boniol M.
      • Heanue M.
      • Colombet M.
      • Boyle P.
      Estimates of the cancer incidence and mortality in Europe in 2006.
      ,
      • Ferlay J.
      • Parkin D.M.
      • Steliarova-Foucher E.
      Estimates of cancer incidence and mortality in Europe in 2008.
      ,
      • Ferlay J.
      • Steliarova-Foucher E.
      • Lortet-Tieulent J.
      • Rosso S.
      • Coebergh J.W.
      • Comber H.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012.
      ,
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ]. The latest figures for 2020 are presented herein, and they are based on the collaboration between the European Commission's Joint Research Centre (JRC, which also serves as the ENCR secretariat), the Cancer Surveillance Branch of the International Agency for Research on Cancer (IARC, which also serves as the Secretariat of the International Association of Cancer Registries – IACR) with the support of the ENCR and IACR.
      Estimated incidence and mortality figures are based on several data sources, namely: the historical time series available in the European Cancer information System (ECIS) of the European Commission [
      • Bettio M.
      • Negrao Carvalho R.
      • Dimitrova N.
      • Dyba T.
      • Flego M.
      • Giusti F.
      • et al.
      Measuring the cancer burden in Europe: the European cancer information system (ECIS).
      ] and the data submitted to the project ‘Cancer Incidence in Five Continents Vol. XI (CI5-XI)’ [
      ] – for the incidence predictions; the World Health Organisation (WHO) database [

      World Health Organization (WHO) Mortality Database. Health statistics and information systems. Geneva, Switzerland. http://www.who.int/healthinfo/statistics/mortality_rawdata/en/. [Accessed April 2021].

      ] – for the mortality predictions; ECIS, Eurostat [

      Eurostat. Population (t_demo_pop). Available at: https://ec.europa.eu/eurostat/web/main/data/database. [Last accessed 1 April 2021].

      ] and the United Nation (UN) Population Division sources [

      United Nations, Population division. World Population Prospects, the 2017 revision. https://esa.un.org/unpd/wpp/. [Accessed March 2021].

      ] – for the population data.
      The 2020 cancer-burden estimates are described for the 25 most common cancer sites for each of the 39 UN-defined European countries [

      United Nations, Population division. World Population Prospects, the 2017 revision. https://esa.un.org/unpd/wpp/. [Accessed March 2021].

      ] and Cyprus. In addition, aggregated results are provided for the EU-27 Member States; the four UN-defined European areas (Central and Eastern, Northern, Southern and Western Europe) [

      United Nations, Population division. World Population Prospects, the 2017 revision. https://esa.un.org/unpd/wpp/. [Accessed March 2021].

      ]; and the whole of Europe.
      The complete set of estimates for the 25 cancers, with additional cancer entities, is available from the ECIS web application (https://ecis.jrc.ec.europa.eu/) and from IARC's Global Cancer Observatory (GCO, https://gco.iarc.fr/).

      2. Materials and methods

      2.1 Data sources

      To predict the estimated values of cancer burden, we considered regional and national cancer incidence, mortality, and population data broken down by sex and 18 age groups (0–4, 5–9, …, 80–84, 85 years and over).
      For the national incidence predictions, subnational and national incidence data from 2003 to 2018 were provided by 151 European cancer registries (20 national and 131 regional registries) participating in two studies: (a) IARC, CI5-XI [
      ], and (b) ENCR-JRC Cancer Incidence and Mortality in Europe [https://encr.eu/encr-jrc-project] (from which the ECIS data are compiled). Regional mortality data were also provided by most of the cancer registries for the equivalent years of incidence data. For the national mortality predictions, the national mortality data from 2004 to 2018 were retrieved from the World Health Organisation (WHO) database [

      World Health Organization (WHO) Mortality Database. Health statistics and information systems. Geneva, Switzerland. http://www.who.int/healthinfo/statistics/mortality_rawdata/en/. [Accessed April 2021].

      ]
      Other incidence and mortality data were collected for selected countries. Aggregated incidence data for the Nordic European countries were taken from the NORDCAN database of the Association of Nordic Cancer Registries [

      Danckert B, Ferlay J, Engholm G , Hansen HL, Johannesen TB, Khan S, et al. NORDCAN: Cancer Incidence, Mortality, Prevalence and Survival in the Nordic Countries, Version 8.2 (26.03.2019). Association of the Nordic Cancer Registries. Danish Cancer Society. Available from: http://www.ancr.nu. [Accessed 12 December 2019].

      ]; for Luxembourg, data were taken from a published report [
      ]; for the Russian Federation, the incidence data (up to 2018) were extracted from the series of reports published by the Moscow Research Oncological Institute [

      Malignant neoplasms in Russiain 2018. Russian Federation, Moscow Research Oncological Institute. http://www.oncology.ru. [Accessed November 2019].

      ]; other incidence and mortality data were also considered from a published report of the Montenegro cancer registry [
      ].
      The population data were provided by cancer registries, or retrieved from Eurostat [

      Eurostat. Population (t_demo_pop). Available at: https://ec.europa.eu/eurostat/web/main/data/database. [Last accessed 1 April 2021].

      ] and the United Nations (UN) [

      United Nations, Population division. World Population Prospects, the 2017 revision. https://esa.un.org/unpd/wpp/. [Accessed March 2021].

      ]. In addition, projected populations for the year 2020 were taken from either Eurostat or UN data. In the following subsections of Materials and Methods, we provide the key definitions and methods used in compiling the European cancer estimates; further details are provided in Ferlay et al., 2019 [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Mathers C.
      • Parkin D.M.
      • Piñeros M.
      • et al.
      Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.
      ].

      2.1.1 Cancer site definition (incidence and mortality data)

      Estimated cancer incidence and mortality results are presented for 25 selected cancer entities defined according to the 10th edition of the International Classification of Diseases (ICD-10, version 2010) [
      World Health Organization
      ], namely: lip, oral cavity and pharynx (ICD-10 C00–14); oesophagus (C15); stomach (C16); colorectum (including anus, (C18–21); liver (C22); gallbladder (C23); pancreas (C25); larynx (C32); lung (including trachea, C33–34); melanoma of skin (C43); breast (C50; females only); cervix uteri (C53); corpus uteri (C54); ovary (C56); prostate (C61); testis (C62); kidney (including renal pelvis, C64–65); bladder (C67); brain and other central nervous system (CNS) (C70–72): thyroid (C73); Hodgkin lymphoma (C81); non-Hodgkin lymphoma (NHL) (C82–86, C96); multiple myeloma (including immunoproliferative diseases, C88+C90); leukaemia (C91–95); and all cancers combined, excluding non-melanoma skin cancer (C00–97, except C44). This definition of cancer entities is the same as that used in the previous estimates and in the current worldwide estimates included in IARC's Global Cancer Observatory.
      Selected ICD-10 unspecified cancer groupings [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Mathers C.
      • Parkin D.M.
      • Piñeros M.
      • et al.
      Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.
      ] were redistributed to specific categories by year, sex and age following procedures already used for 2018 estimates [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ]. The "unspecified cancers" group (ICD-10 categories C76–80 + C97) were not reallocated to specific categories but kept in a separated cancer entity.
      The category of ‘all cancers combined’, excluding non-melanoma skin cancer, was then obtained by summing the estimated counts of new cancer cases or deaths for each individual cancer site in a given country, by sex and age together with the corresponding estimates of the residual category "other and unspecified cancers".

      2.1.2 Cancer site specifications in mortality data

      To maximise comparability across European countries, certain corrections had to be applied in some instances to the mortality data. Owing to the incompleteness of death registration in a few European countries for the period under study, we needed to adjust the associated WHO mortality data with corresponding estimated completeness as reported by WHO (see Table 1). A further mortality data correction was performed for all deaths coded as ill-defined categories (ICD-10 "R" category, chapter XVIII) by redistributing them pro rata across cancer causes (ICD-10 "C" category, malignant neoplasms) and all other causes (excluding injuries), by year, sex, and age.
      Table 1Completeness of national mortality data (percent), coverage of incidence data (percent) and methods of estimation.
      CountryMortalityIncidence
      Coverage (%)Ill-defined (%)
      Percentages of ill-defined causes of death, most recent year, male/female.
      Method
      The method to estimate the national sex- and age-specific mortality rates in 2020 is based on estimated numbers obtained as: 1 - Estimates based on national mortality data, projected rates applied to 2020 population 2A - Estimates based on national mortality data, most recent available rates applied to 2020 population.
      Exceptions
      For descriptions of methods applied in these cancer sites, please refer to https://gco.iarc.fr/today/data/methods/GLOBOCAN2020_annexes.pdf [Accessed January 2021].
      Coverage (%)Method
      The methods to estimate the national sex- and age-specific incidence rates in 2020 are based on estimated numbers obtained as: 1- Estimates based on national or local (coverage greater than 50%) incidence data, projected rates applied to 2020 population 2A - Estimates based on national incidence data, most recent available rates applied to 2020 population 3A - Estimates based on national mortality estimates and M:I ratios derived from country-specific cancer registry data 3B - Estimates based on national mortality estimates and M:I ratios derived from cancer registry data of neighbouring countries.
      Exceptions
      For descriptions of methods applied in these cancer sites, please refer to https://gco.iarc.fr/today/data/methods/GLOBOCAN2020_annexes.pdf [Accessed January 2021].
      Albania5511/1912000–2009 ↗ 2020Kaposi sarcoma; anus, liver, vulva, vagina, and penile cancers from Croatia and Serbia03BEstimated from mortality with M:I ratios from cancer registries in Southern Europe model
      Southern Europe model includes Croatia, Cyprus, Italy (33 registries), Malta, Slovenia and Spain (14 registries).
      Austria1004/312008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)10012003–2012 ↗ 2020Non-melanoma skin cancers from Tyrol and Vorarlberg (2010–2012 = 2020)
      Belarus1004/132A2018 = 202010012003–2012 ↗ 2020Prostate cancer (2010–2012 = 2020)
      Belgium1006/812007–2016 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)10012004–2013 ↗ 2020
      Bosnia and Herzegovina937/72A2011, 2014, 2016 = 2020403AEstimated from mortality (all ages)
      All age incidence partitioned by age using the age distribution from Republika of Srpska.
      with M:I ratios from Republika of Srpska cancer registry (2008–2012)
      Bulgaria1003/412006–2015 ↗ 2020Mesothelioma estimated using survival (source EUROCARE-5)10012004–2013 ↗ 2020
      Croatia1001/112008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)10012003–2012 ↗ 2020Non-melanoma skin cancers from Bosnia and Herzegovina, Republika of Srpska and Slovenia cancer registries (2008–2012 = 2020)
      Cyprus
      Incidence and mortality rates (2007–2016, government-controlled area of Cyprus) were projected to 2020 and applied to 2020 population including both Greek and Turkish parts.
      743/412007–2016 ↗ 20207012003–2012 ↗ 2020Thyroid cancer (2010–2012 = 2020)
      Czechia1002/112008–2017 ↗ 202010012004–2013 ↗ 2020
      Denmark1008/1012006–2015 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source NORDCAN)10012007–2016 ↗ 2020Anus, vulva, vagina, non-melanoma skin and penile cancers, mesothelioma, Kaposi sarcoma (not available in NORDCAN) and brain and central nervous system tumours from Danish cancer registry
      Estonia1002/212009–2018 ↗ 202010012003–2012 ↗ 2020Prostate cancer (2010–2012 = 2020)
      Finland1001/112008–2017 ↗ 202010012007–2016 ↗ 2020Anus, vulva, vagina, non-melanoma skin and penile cancers, mesothelioma, Kaposi sarcoma (not available in NORDCAN) and brain and central nervous system tumours from Finnish cancer registry
      France10010/1212007–2016 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)183AEstimated from mortality with M:I ratios from 15 French cancer registriesThyroid cancer from 8 French cancer registries (2003–2012 ↗ 2020)

      Kaposi sarcoma, breast, prostate and childhood cancers from 15 French cancer registries (2008–2012 = 2020)

      Non-melanoma skin cancers from Haut-Rhin cancer registry (2003–2012 ↗ 2020)
      Germany1004/312008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)7312003–2012 ↗ 2020 (incidence from 8 German cancer registries)Kaposi sarcoma and childhood cancers (2008–2012 = 2020)
      Greece1005/812007–2016 ↗ 2020Kaposi sarcoma; mesothelioma; vulva, vagina and penile cancers (2014–2016 = 2020)03BEstimated from mortality with M:I ratios from cancer registries in Southern Europe model
      Southern Europe model includes Croatia, Cyprus, Italy (33 registries), Malta, Slovenia and Spain (14 registries).
      Kaposi sarcoma, non-melanoma and childhood cancers (2018–2012 = 2020)
      Hungary1000/012008–2017 ↗ 202003BEstimated from mortality with M:I ratios from national cancer registries in Eastern Europe model
      Eastern Europe model includes Bulgaria, Romania (2 registries) and Serbia.
      Thyroid cancer and Hodgkin lymphoma (2008–2012 = 2020)

      Childhood cancers from paediatric cancer registry (2008–2012 = 2020)
      Iceland1003/112009–2018 ↗ 202010012007–2016 ↗ 2020Anus, vulva, vagina, non-melanoma skin and penile cancers, mesothelioma, Kaposi sarcoma (not available in NORDCAN) and brain and central nervous system tumours from Iceland cancer registry
      Ireland1000/012007–2015 ↗ 202010012003–2012 ↗ 2020Prostate cancer (2010–2012 = 2020)
      Italy1002/312007–2016 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)503AEstimated from mortality with M:I ratios from 33 Italian cancer registriesBreast and thyroid cancers from 13 Italian cancer registries (2003–2012 ↗ 2020)

      Kaposi sarcoma, prostate and childhood cancers from 38 cancer registries (2008–2012 = 2020)

      Non-melanoma skin cancers from 5 Italian cancer registries (2003–2012 ↗ 2020)
      Latvia1001/112006–2015 ↗ 202010012003–2012 ↗ 2020
      Lithuania1003/112009–2018 ↗ 202010012003–2012 ↗ 2020Prostate cancer (2010–2012 = 2020)
      Luxembourg1003/412007–2016 ↗ 202003BEstimated from mortality (2012–2016)
      5-year mortality 2012–2016 was used because the number of estimated deaths in 2020 was too small for some sites. The estimated numbers of cases (2012–2016) were then divided by 5.
      with M:I ratios from cancer registries in Belgium and France
      Average number of cases (2007–2016) lower than recorded cases of national pathology-based register
      Data source: Nouveaux cas de cancer 2013. Registre morphologique des tumeurs. Laboratoire national de santé. Grand-Duché de Luxembourg, 2015 Available as http://www.lns.public.lu/publications/brochures/RMT_Nouveaux_cas_de_cancer_2013.pdf [Accessed 5 January 2017].
      (2013) completed by recorded incidence cases (source national pathology-based register)
      Malta1001/112007–2016 ↗ 202010012004–2013 ↗ 2020
      Moldova831/012009–2018 ↗ 202003BEstimated from mortality with M:I ratios from Ukrainian (2013–2015) cancer registry
      Montenegro
      Mortality and Incidence data source: Malignant neoplasms in Montenegro 2013. Podgorica: Insitute of Public Health of Montenegro, Center for Control and Prevention of Non-communicable Diseases, Registry of Malignant Neoplasms of Montenegro, 2018.
      9418/172A2013 = 202002A2013 = 2020
      Netherlands1004/512008–2017 ↗ 202010012004–2013 ↗ 2020Liver and pancreatic cancer cases (2004–2013) completed by cancer deaths (source WHO)
      North Macedonia1007/712006–2013 ↗ 202003BEstimated from mortality with M:I ratios from cancer registries in Southern Europe model
      Southern Europe model includes Croatia, Cyprus, Italy (33 registries), Malta, Slovenia and Spain (14 registries).
      Norway1006/612007–2016 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source NORDCAN)10012007–2016 ↗ 2020Anus, vulva, vagina, non-melanoma skin and penile cancers, mesothelioma, Kaposi sarcoma (not available in NORDCAN) and brain and central nervous system tumours from Norwegian Cancer Registry
      Poland10012/1012008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)333AEstimated from mortality with M:I ratios from 6 Polish cancer registriesBreast, prostate and thyroid cancers from the 6 Polish cancer registries (2003–2012 ↗ 2020)

      Kaposi sarcoma, non-melanoma skin and childhood cancers from the 6 Polish cancer registries (2008–2012 = 2020)
      Portugal1006/812008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)993AEstimated from mortality with M:I ratios from 4 Portuguese local cancer registries (2008–2011)Liver, pancreatic and lung cancers cases completed by cancer deaths (by registry, year, sex and age)

      Kaposi sarcoma, non-melanoma skin, breast, prostate, thyroid and childhood cancers from the 4 Portuguese cancer registries (2008–2011 = 2020)
      Romania1001/112008–2017 ↗ 2020223BEstimated from mortality with M:I ratios from cancer registries in Eastern Europe model
      Eastern Europe model includes Bulgaria, Romania (2 registries) and Serbia.
      Childhood cancers from Cluj and Timisoara cancer registries (2008–2011 = 2020)
      Russian Federation1007/1212009–2018 ↗ 2020Lip, oral cavity and pharynx, colon, rectum, and anus cancers from St-Petersburg and Arkhangelsk Russian cancer registries10012009-2018
      Data source: Russian Federation, Moscow Research Oncological Institute. http://www.oncology.ru [Accessed November 2019].
      ↗ 2020
      Anus and non-melanoma skin cancers, mesothelioma and Kaposi sarcoma from St-Petersburg and Arkhangelsk Russian cancer registries (2008–2012 = 2020)

      Oesophageal, gastric, liver, pancreatic and lung cancer cases (2009–2018) completed by cancer deaths (source WHO)
      Serbia
      Projected population 2020 for Serbia (source UN) included Kosovo.
      956/512008-2017
      Mortality data from WHO excludes Kosovo.
      ↗ 2020
      573BEstimated from mortality with M:I ratios from cancer registries in Eastern Europe model
      Eastern Europe model includes Bulgaria, Romania (2 registries) and Serbia.
      Kaposi sarcoma and childhood cancers estimated from Central Serbia cancer registry (2009–2011 = 2020)
      Slovakia1002/212005–2014 ↗ 20201002A2001–2010 = 2020
      Slovenia1003/212008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)10012003–2012 ↗ 2020
      Spain1002/212008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)273AEstimated from mortality with M:I ratios from 14 Spanish cancer registriesBreast, prostate and thyroid cancers from 7 cancer registries (2003–2012 ↗ 2020)

      Kaposi sarcoma, non-melanoma skin and childhood cancers from 14 cancer registries (2008–2012 = 2020)
      Sweden1003/412008–2017 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source NORDCAN)10012007–2016 ↗ 2020Anus, vulva, vagina, non-melanoma skin and penile cancers, mesothelioma, Kaposi sarcoma (not available in NORDCAN) and brain and central nervous system tumours from Swedish Cancer Registry.

      Liver and pancreatic cancer cases completed by cancer deaths (source WHO).
      Switzerland1005/412007–2016 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)623AEstimated from mortality with M:I ratios from 11 Swiss cancer registriesBreast and thyroid cancers estimated from 8 Swiss cancer registries (2003–2012 ↗ 2020)

      Kaposi sarcoma and Hodgkin lymphoma; nasopharyngeal, anus, vulva, vagina, penile, testis and childhood from 11 cancer registries (2008–2012 = 2020)

      Non-melanoma skin cancers from 5 cancer registries (2003–2012 ↗ 2020).
      Ukraine934/412008–2017 ↗ 2020Data of gallbladder, testis, kidney, thyroid cancers and Hodgkin lymphoma plus ‘other cancers’ from National Cancer Registry of Ukraine
      Data source: National Cancer Registry of Ukraine, National Institute of Cancer. Cancer in Ukraine 2013–2014, 2014–2015 and 2015–2016. Kyiv, Ukraine Available at http://www.unci.org.ua/, accessed 31-08-2017.
      10012006–2015 ↗ 2020
      United Kingdom1001/312007–2016 ↗ 2020Cervical and corpus uteri cancers estimated using survival (source EUROCARE-5)10012004–2013 ↗ 2020Non-melanoma skin cancers estimated from Northern Ireland and Scotland (2004–2013 ↗ 2020)
      National cancer mortality data from 2004 to 2018 were extracted from WHO mortality database, unless otherwise specified. National and local cancer incidence data from 2003 to 2018 were received from national and local population-based cancer registries, unless otherwise specified.
      ‘↗’ projected to.
      ‘=’ applied to.
      a Percentages of ill-defined causes of death, most recent year, male/female.
      b The method to estimate the national sex- and age-specific mortality rates in 2020 is based on estimated numbers obtained as: 1 - Estimates based on national mortality data, projected rates applied to 2020 population 2A - Estimates based on national mortality data, most recent available rates applied to 2020 population.
      c For descriptions of methods applied in these cancer sites, please refer to https://gco.iarc.fr/today/data/methods/GLOBOCAN2020_annexes.pdf [Accessed January 2021].
      d The methods to estimate the national sex- and age-specific incidence rates in 2020 are based on estimated numbers obtained as: 1- Estimates based on national or local (coverage greater than 50%) incidence data, projected rates applied to 2020 population 2A - Estimates based on national incidence data, most recent available rates applied to 2020 population 3A - Estimates based on national mortality estimates and M:I ratios derived from country-specific cancer registry data 3B - Estimates based on national mortality estimates and M:I ratios derived from cancer registry data of neighbouring countries.
      e Southern Europe model includes Croatia, Cyprus, Italy (33 registries), Malta, Slovenia and Spain (14 registries).
      f Data source: National Cancer Registry of Ukraine, National Institute of Cancer. Cancer in Ukraine 2013–2014, 2014–2015 and 2015–2016. Kyiv, Ukraine Available at http://www.unci.org.ua/, accessed 31-08-2017.
      g All age incidence partitioned by age using the age distribution from Republika of Srpska.
      h Incidence and mortality rates (2007–2016, government-controlled area of Cyprus) were projected to 2020 and applied to 2020 population including both Greek and Turkish parts.
      i Eastern Europe model includes Bulgaria, Romania (2 registries) and Serbia.
      j 5-year mortality 2012–2016 was used because the number of estimated deaths in 2020 was too small for some sites. The estimated numbers of cases (2012–2016) were then divided by 5.
      k Data source: Nouveaux cas de cancer 2013. Registre morphologique des tumeurs. Laboratoire national de santé. Grand-Duché de Luxembourg, 2015 Available as http://www.lns.public.lu/publications/brochures/RMT_Nouveaux_cas_de_cancer_2013.pdf [Accessed 5 January 2017].
      l Mortality and Incidence data source: Malignant neoplasms in Montenegro 2013. Podgorica: Insitute of Public Health of Montenegro, Center for Control and Prevention of Non-communicable Diseases, Registry of Malignant Neoplasms of Montenegro, 2018.
      m Data source: Russian Federation, Moscow Research Oncological Institute. http://www.oncology.ru [Accessed November 2019].
      n Projected population 2020 for Serbia (source UN) included Kosovo.
      o Mortality data from WHO excludes Kosovo.
      The accuracy of death certificates of cancer of the uterus presents large variations among European countries owing to the fact that many deaths are classified as "uterus cancer, not otherwise specified" (ICD-10 C55) [
      • Loos A.H.
      • Bray F.
      • McCarron P.
      • Weiderpass E.
      • Hakama M.
      • Parkin D.M.
      Sheep and goats: separating cervix and corpus uteri from imprecisely coded uterine cancer deaths, for studies of geographical and temporal variations in mortality.
      ]. These cancer deaths were reallocated to either cervix uteri or corpus uteri cancer sites in different ways according to the proportion of unspecified uterus cancers [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ]. For countries where the proportion of unspecified uterus cancer was not sufficiently low (defined as <25% of the total), these cancers were distributed using the estimated cancer incidence and the corresponding 5-year relative survival probabilities extracted from the EUROCARE-5 study [
      • De Angelis R.
      • Sant M.
      • Coleman M.P.
      • Francisci S.
      • Baili P.
      • Pierannunzio D.
      • et al.
      Cancer survival in Europe 1999-2007 by country and age: results of EUROCARE--5-a population-based study.
      ].
      For Albania, the Russian Federation and Ukraine, national mortality data for several cancer sites selected for this study were not available and supporting mortality data were used from Croatia and Serbia, from the two Russian cancer registries of St-Petersburg and Arkhangelsk [
      ], and from the Ukrainian National Cancer Registry [

      Cancer in Ukraine 2013-2014, 2014-2015 and 2015-2016. National Cancer Registry of Ukraine, National Institute of Cancer. Kyiv, Ukraine. http://www.unci.org.ua/. [Accessed August 2017].

      ], respectively.

      2.2 Estimation methods

      The methods used to predict the 2020 estimates depended on the availability and extent of the cancer data as well as the historical trends. The most recent trends in mortality and incidence rates were estimated for the year 2020 using previously applied methodology [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ]. When the time series of available historical data were of sufficient duration (at least 6 years), with sufficient numbers of cases or deaths observed for each year and age group, a general approach was to apply short-term time-linear models [
      • Hakulinen T.
      • Dyba T.
      Precision of incidence predictions based on Poisson distributed observations.
      ]. This approach was used for data with at least 50 new cancer cases or cancer deaths, for all ages combined, per year. For cancer sites with low incidence, the predictions were obtained assuming fixed sex- and age-specific incidence rates estimated using the most recent 3–5 years of available data to avoid any potential bias resulting from very low numbers. For each cancer site, the predicted age-specific mortality and incidence rates were smoothed by applying moving regression [
      • Harrell Jr., Frank E.
      Regression modelling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis.
      ] by country and sex in order to remove occasional extreme random variability in the predicted age-specific rates. The applied methodology had been previously verified using real data, and had proved to be robust [
      • Dyba T.
      • Hakulinen T.
      Comparison of different approaches to incidence prediction based on simple interpolation techniques.
      ,
      • Dyba T.
      • Hakulinen T.
      Do cancer predictions work?.
      ,
      • Antoni S.
      • Soerjomataram I.
      • Møller B.
      • Bray F.
      • Ferlay J.
      An assessment of GLOBOCAN methods for deriving national estimates of cancer incidence.
      ]. Statistical computations were carried out using software developed by IARC [
      • Ferlay J.
      • Steliarova-Foucher E.
      • Lortet-Tieulent J.
      • Rosso S.
      • Coebergh J.W.
      • Comber H.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012.
      ] and JRC [].
      The applied methods are summarised in Table 1 for incidence and mortality, and in Fig. 1 for incidence.
      Fig. 1
      Fig. 1Methods of estimation for 2020 incidence in Europe.
      © European Union, 2016. Map produced by EC-JRC. The boundaries and the names shown on this map do not imply official endorsement or acceptance by the European Union.

      2.2.1 Mortality estimates

      Predictions of national mortality rates were performed using the general approach based on short-term prediction models for the majority of the European countries (method 1, applied in 37 countries). In only 3 out of 40 countries, where a sufficient number of deaths were not recorded or where a prediction trend could not be observed, the predictions were performed based on the most recent available data (method 2A, applied in 3 countries).

      2.2.2 Incidence estimates

      The availability of incidence data is significantly lower compared to mortality data both in terms of length of time series and geographical coverage. The general approach to prediction was adapted and modified depending on the extent and quality [
      ] of the incidence data available for a given country. The methods applied fall into one of four hierarchical categories described in sections 2.2.2.1, 2.2.2.2, 2.2.2.3, 2.2.2.4.

      2.2.2.1 Method 1 – estimates based on national or local incidence data (23 countries)

      For the large majority of cases in which countries have either national incidence data or above 60% population coverage, the general prediction method described in section 2.2 was applied.

      2.2.2.2 Method 2A – estimates based on most recent incidence national or local incidence data (2 countries)

      For too-sparse incidence data in the time interval used as a basis for prediction, the most recent incidence rates were considered, where available, for at least three consecutive years and with at least 20 cases recorded per year. These were then applied to the 2020-projected population figures to obtain the 2020 estimates.
      For Slovakia, despite the availability of a long time series, the most recent available rates (2001–2010) were applied to the projected populations to achieve the most robust result (method 2A) for all the cancer sites.
      Also for cancer sites where diagnosis could be connected with screening programmes over the period considered as the basis of prediction (including prostate specific antigen [PSA] testing), further examination of the observed and estimated incidence trends was carried out to prevent unrealistic predictions. When the estimates were not judged robust enough (particularly for female breast, thyroid and prostate cancers), predictions were obtained by applying the incidence rate of the otherwise most recent available period to the 2020 population (Table 1).

      2.2.2.3 Method 3A – estimates based on local incidence and mortality data (7 countries)

      For countries with regional registries, the estimated national sex-, site- and age-specific incidence estimates (IN) were obtained using corresponding aggregated regional incidence (IR) and national mortality (MN) estimates. Under the assumption that regional incidence to mortality ratios are similar to the national ones we derive the formula:
      IN=MNIR/MR.


      When dealing with regional registries, aggregated mortality to incidence ratios were calculated using a weighted average over the registries, with weights corresponding to the square roots of the registries’ populations to guarantee the representativeness of the aggregation. A Poisson regression model was then applied to obtain the IR/MR ratios, with categorical terms for sex and age.
      This method produces unbiased estimates under the assumptions that regional and national incidence to mortality ratios can be considered equivalent and that IR/MR ratios are stable over recent time. In those cases where such assumptions do not hold (e.g. for screening-dependent cancer sites), the most recent available incidence rates from the aggregated data were used as a proxy for the national predictions.

      2.2.2.4 Method 3B – estimates based on no incidence data and national mortality data (8 countries)

      For cases where incidence data either (a) were not available; (b) covered only a small area; or (c) were judged of poor quality [
      ], the IR/MR ratios were obtained from neighbouring countries. The estimates were computed using as reference either Eastern Europe countries, i.e. Bulgaria, Romania (2 registries) and Serbia, or Southern Europe countries, considering Croatia, Cyprus, Italy (33 registries), Malta, Slovenia and Spain (14 registries).
      For Luxembourg, the data of 16 cancer registries in Belgium and France were considered for the computation of the neighbouring IR/MR ratios applied to the 5-year national mortality data (2012–2016). Such results were then completed using the data of the Luxembourg pathology register [
      • De Angelis R.
      • Sant M.
      • Coleman M.P.
      • Francisci S.
      • Baili P.
      • Pierannunzio D.
      • et al.
      Cancer survival in Europe 1999-2007 by country and age: results of EUROCARE--5-a population-based study.
      ] according to the procedure previously applied [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ].

      2.3 Estimates presentation

      The estimates for 2020 are presented as numbers of new cases and numbers of deaths and corresponding age-standardised rates (ASRs) for incidence and mortality using the European standard population 2013 [
      • Eurostat
      Revision of the European standard population: report of the Eurostat's task force.
      ,
      • Crocetti E.
      • Dyba T.
      • Martos C.
      • Randi G.
      • Rooney R.
      • Bettio M.
      The need for a rapid and comprehensive adoption of the revised European standard population in cancer incidence comparisons.
      ] expressed per 100,000 individuals. The cumulative risk of a cancer diagnosis or cancer death was also calculated, considering a lifetime as across the age range 0–74 years, expressed as a percentage. To quantify the variability between countries, the relative difference between the country-specific ASR and the European average as the reference ASR. The relative difference is expressed as a percentage.

      3. Results

      The numbers of new cancer diagnoses and cancer deaths estimated to occur in Europe for 2020 (in thousands) by cancer type and sex are reported in Fig. 1 and Table 2. The estimated cancer burden in Europe for 2020 is 4.0 million new cancer cases (all cancer types, excluding non-melanoma skin cancer) and 1.9 million cancer deaths. The corresponding cumulative risk (below 75 years) of receiving a cancer diagnosis is 31% for males (1 in 3 men) and 24% for females (1 in 4 women), while the corresponding risk of dying due to cancer is 15% for males (1 in 7 men) and 9% for females (1 in 11 women). Cancer overall affect men slightly more than women, with 53% (2.1 million) of new cases and 55% (1.1 million) of cancer deaths occurring in males. Cancer disproportionately affects older adults, with 60% of the estimated new diagnoses and 73% of estimated deaths occurring in persons aged 65 years or older, 34% and 25% occurring in people 45–64 years old, and 7% and 3% in people younger than 45 years.
      Table 2Estimated numbers of new cancer cases and deaths from cancer (thousands), ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases or deaths.
      (per 100,000) by sex and cancer site in Europe for 2020.
      Cancer siteIncidenceMortality
      Both sexesMaleFemaleBoth sexesMaleFemale
      Cases%ASR (E)Cum. Risk %Cases%ASR (E)Cum. Risk %Cases%ASR (E)Cum. Risk %Deaths%ASR (E)Cum. Risk %Deaths%ASR (E)Cum. Risk %Deaths%ASR (E)Cum. Risk %
      Lip, oral cavity and pharynx128.63.216.91.1193.34.427.21.8135.31.88.40.5053.92.87.10.4441.43.812.30.7812.51.42.90.15
      Oesophagus53.01.37.00.4140.41.912.30.7212.60.72.90.1545.52.36.10.3334.93.210.80.5910.61.22.40.11
      Stomach136.03.418.10.9683.73.926.21.3952.32.712.10.6197.05.012.90.6359.55.518.90.9337.54.38.60.39
      Colorectum519.812.969.43.60281.713.289.04.50238.112.555.42.85244.812.632.91.36131.912.343.51.77112.913.025.51.02
      Liver87.62.211.70.6358.12.718.00.9929.61.56.80.3278.44.010.50.5251.34.816.30.8027.13.16.20.27
      Gallbladder12.60.31.70.083.90.21.30.068.70.52.00.098.70.41.20.052.60.20.90.036.10.71.40.06
      Pancreas140.13.518.70.9170.23.322.21.1369.93.716.00.73132.16.817.70.8466.76.221.21.0565.47.614.90.67
      Larynx39.91.05.20.3635.01.610.30.684.90.31.20.0819.61.02.60.1617.61.65.40.322.00.20.50.03
      Lung477.511.863.53.70315.114.897.65.40162.58.538.32.26384.219.851.22.82260.024.281.74.27124.214.329.01.60
      Melanoma of skin150.63.720.01.2276.33.623.21.3174.33.918.21.1626.41.43.50.1714.71.44.70.2211.71.32.70.13
      Breast531.127.8128.68.01141.816.432.91.62
      Cervix uteri58.23.014.61.0326.03.06.30.40
      Corpus uteri130.16.831.22.0530.03.56.90.35
      Ovary66.73.516.01.0144.15.110.30.58
      Prostate473.322.2148.18.18108.110.038.20.97
      Testis25.11.26.70.511.60.10.40.03
      Kidney138.63.418.41.1185.84.025.91.5452.82.812.50.7454.12.87.20.3434.63.211.10.5219.52.24.40.19
      Bladder204.05.027.31.36156.77.450.52.3547.32.510.90.5467.33.59.10.3150.84.717.50.5416.51.93.60.11
      Brain, central nervous system67.11.78.90.5736.21.710.60.6830.91.67.50.4853.72.87.10.4429.42.78.80.5324.32.85.80.35
      Thyroid87.22.211.50.8319.30.95.50.3867.83.517.11.246.40.30.90.042.40.20.80.044.00.50.90.04
      Hodgkin lymphoma19.90.52.70.1911.00.53.10.228.90.52.30.174.00.20.50.032.30.20.70.041.70.20.40.02
      Non-Hodgkin lymphoma123.03.016.40.9267.43.220.71.1355.62.913.10.7449.72.66.70.2827.22.59.00.3622.52.65.10.20
      Multiple myeloma50.91.36.80.3627.81.38.90.4423.11.25.40.2932.51.74.40.1817.11.65.70.2215.41.83.50.15
      Leukaemia100.02.513.40.7355.82.617.40.9144.22.310.50.5862.33.28.40.3534.33.211.40.4527.93.26.40.27
      All sites excl. non-melanoma skin4042.3538.027.022130.2660.330.831912.1456.123.951942.6259.711.661076.6347.814.66866.0199.59.11
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases or deaths.
      Four cancer types are responsible for approximately 50% of all cancer diagnoses. Breast cancer is the most commonly diagnosed cancer accounting for 13.1% of all cancer diagnoses (530,000 cases; females only), followed by colorectal (520,000, 12.9%), lung (480,000, 11.8%) and prostate (470,000, 11.7%) cancers. When distinguishing by sex (Fig. 2), the most common cancers among males are prostate (22.2% of the male total), lung (320,000, 14.8%), colorectum (280,000, 13.2%) and bladder (160,000, 7.3%). In women, breast cancer is by far the most frequently diagnosed malignant neoplasm (27.8% of the female total), followed by colorectal (240,000, 12.4%), lung (160,000, 8.5%) and corpus uteri (130,000, 6.8%) cancers.
      For mortality, the most common causes of cancer death are due to lung (380,000 deaths, corresponding to one-fifth of the overall share), colorectal (250,000 deaths, 12.6%), breast (140,000, 7.3%; females only) and pancreatic (130,000, 6.8%) cancers. All together, these cancers account for 47% of all-cancers mortality. When considering the male population only (Fig. 2), lung cancer is the most common cause of cancer-related death (260,000 estimated deaths, corresponding to 24.2% of the male total) followed by colorectal (130,000, 12.3%) and prostate (110,000, 10.0%) cancers. For females, breast cancer is the leading cause of cancer death (140,000, 16.4% of female total), followed by lung (120,000, 14.3%) and colorectal (110,000, 13.0%) cancers. In Table 3, the leading three types of cancer for incidence and mortality are reported by European country, for males and females separately .
      Table 3Most common types of cancer in terms of new cases (incidence) and deaths (mortality) in each of the European countries for 2020.
      Fig. 2
      Fig. 2Total number and distribution of the estimated cases and deaths for the 5 (in the bar charts) or 10 (in the pie charts) most common cancers in Europe for 2020 by sex. For each sex, the area of the bars and pie charts reflects the proportion of the total number of cases or deaths.
      Focussing on the EU-27 (Table 4), the cancer burden in 2020 corresponds to 2.7 million new cases and 1.3 million deaths, representing 66% of all new cases and 65% of cancer deaths of the whole of Europe. The overall cumulative risk of cancer diagnosis and deaths are very similar to European figures. Breast cancer is the most commonly diagnosed cancer with over 360,000 new female cases (13.3% of all cancer diagnoses), followed by colorectal (340,000, 12.7%), prostate (340,000, 12.5%) and lung (320,000, 11.9%) cancers. The most common causes of cancer death are lung (260,000 deaths, 20.4% of all deaths), colorectal (160,000, 12.4%), breast (90,000, 7.3%; females only) and pancreatic (90,000, 7.1%) cancers.
      Table 4Estimated numbers of new cancer cases and deaths from cancer (thousands), ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases or deaths.
      (per 100,000) by sex and cancer site in EU-27 for 2020.
      Cancer siteIncidenceMortality
      Both sexesMalesFemalesBoth sexesMalesFemales
      Cases%ASR (E)Cum. Risk %Cases%ASR (E)Cum. Risk %Cases%ASR (E)Cum. Risk %Deaths%ASR (E)Cum. Risk %Deaths%ASR (E)Cum. Risk %Deaths%ASR (E)Cum. Risk %
      Lip, oral cavity and pharynx79.93.017.01.1156.03.925.61.6923.91.99.30.5631.82.56.70.4023.83.411.00.688.01.43.00.15
      Oesophagus30.31.16.40.3823.31.610.90.657.00.62.70.1525.62.05.40.2919.92.89.40.515.81.02.10.10
      Stomach75.42.815.80.7846.73.222.41.1028.82.310.60.4952.14.110.90.4832.14.615.70.6919.93.67.20.30
      Colorectum341.412.771.83.65191.113.291.64.58150.412.256.32.82156.112.432.41.2787.212.343.11.6768.912.424.50.91
      Liver60.92.312.80.7041.92.919.81.1119.01.57.00.3253.94.311.30.5536.65.217.60.8617.33.16.30.27
      Gallbladder7.80.31.60.072.70.21.30.065.10.41.90.095.50.41.10.051.80.30.90.043.70.71.30.06
      Pancreas94.93.519.90.9447.13.322.61.1247.83.917.50.7889.37.118.60.8644.76.321.61.0344.58.016.20.70
      Larynx24.60.95.20.3521.21.59.80.633.50.31.40.0911.60.92.40.1410.21.44.80.271.30.20.50.03
      Lung318.311.967.33.93205.314.297.25.30113.19.143.92.68257.320.454.22.97170.624.281.74.1486.715.633.21.91
      Melanoma of skin106.44.022.81.4155.43.826.01.5051.04.120.81.3516.51.33.50.169.51.34.60.217.01.32.60.12
      Breast355.528.7142.88.8591.816.534.11.60
      Cervix uteri30.42.512.80.8913.42.45.30.32
      Corpus uteri73.35.928.91.8616.83.06.20.29
      Ovary39.43.215.50.9427.14.910.30.55
      Prostate335.523.2158.78.9569.99.936.30.82
      Testis17.61.28.00.610.90.10.40.03
      Kidney86.83.218.41.0955.23.825.81.5231.62.612.10.7034.42.77.20.3222.23.110.80.4712.22.24.40.18
      Bladder157.55.933.11.65121.58.458.92.7335.92.913.40.6749.23.910.10.3337.15.318.80.5612.02.24.20.13
      Brain, central nervous system43.61.69.40.5923.81.711.10.7119.71.67.80.4934.72.87.40.4519.42.79.00.5515.32.86.00.35
      Thyroid57.72.212.70.9113.70.96.20.4444.03.618.91.374.00.30.80.031.60.20.80.032.40.40.90.03
      Hodgkin lymphoma12.00.42.70.196.90.53.20.225.10.42.20.162.20.20.50.021.30.20.60.030.90.20.30.02
      Non-Hodgkin lymphoma86.33.218.31.0347.93.322.61.2538.53.114.80.8234.92.87.30.2919.32.79.50.3715.62.85.60.21
      Multiple myeloma35.81.37.50.3920.11.49.70.4815.71.35.90.3023.31.84.80.1912.51.86.20.2310.81.93.90.15
      Leukaemia66.62.514.10.7537.62.618.00.9329.02.311.10.5943.43.49.00.3524.23.412.00.4519.23.56.90.27
      All sites excl. non-melanoma skin2682.0568.728.201444.9685.231.731237.0483.625.071261.7263.511.38706.1344.913.94555.6204.59.05
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases or deaths.
      Age-stratified analyses, relating to three different age groups (0–44, 45–64 and 65 years and over, Fig. 3), revealed that the five most common cancers for incidence and mortality predominantly affect middle-aged and older adults. In the 0–44 years group, more than 50% of incident cases are due to breast, thyroid, and cervical cancer among females, and to testicular cancer, melanoma of the skin, brain and other CNS, leukaemia and non-Hodgkin lymphoma among males. In older age groups, the most commonly diagnosed cancer among females is breast (34.5% in 45–64 and 22.5% in 65+), followed by colorectal (9.5% and 15.8%), corpus uteri (8.6% and 6.4%), lung (8.1% and 9.9%), thyroid (4.4% in the 45–64 age groups) and pancreatic (5.1% in the 65+ age group) cancers. Among males, prostate cancer is the most commonly diagnosed (19.4% in 45–64 and 25.3% in 65+), followed by lung (15.7% and 15.2%), colorectal (12.3% and 14.3%), and bladder (5.8% and 8.6%) cancers. The fifth most common cancer in males is kidney cancer in the 45–64 years group (5.1%) and stomach cancer (4.1%) in the 65+ years group.
      Fig. 3
      Fig. 3Cancer incidence and mortality percentage distribution by age group and sex in Europe for 2020.
      Similar to incidence, younger age groups have different mortality distributions as compared to middle and older ages (Fig. 3). Among males, lung cancer accounts for the highest number of cancer-related deaths (29.2% in 45–64 and 22.8% in 65+), followed by colorectal (9.8% and 13.3%) and pancreatic (7.1% and 5.9%) cancers. Liver (5.4%) and stomach (6.1%) cancers are the main causes of cancer deaths in the age class 45–64 years, while prostate (12.8%) and bladder (5.7%) cancers rank highest in the older age classes. Among females, breast cancer has the highest proportion of cancer deaths (19.3% in 45–64 and 15.1% in 65+ years), followed by lung (17.9% and 13.7%), colorectal (9.4% and 14.5%), ovary (6.9% and 4.5%), and pancreatic (6.2% and 8.2%) cancers.
      For the 40 European countries analysed, Appendix Table A1a, Appendix Table A1b present the estimated number of new cases and the incidence rates by sex and site, while Appendix Table A2a, Appendix Table A2b present the estimated number of deaths and mortality rates by sex and site. Appendix Table A3, Appendix Table A4 report the estimated number of new cases and deaths with the incidence and mortality rates by age group and site.
      Sections 3.1, 3.2, 3.3, 3.4, 3.5, 3.6 provide a brief description of the overall cancer patterns and highlight the five cancers that are the most common cancer diagnoses or main causes of cancer-related deaths in Europe.

      3.1 Overall cancer patterns

      After adjusting for different population age structures, overall cancer incidence rates are highest: (a) in Ireland for both sexes combined (718.3 per 100,000, +33% as compared to the European average, data not shown); (b) in Latvia when considering only male population (851.7, +28%); and (c) in Denmark for female population (633.9, +38%).
      For males, the highest incidence rates above 750 per 100,000 (only 20% of countries reported incidence rates above this threshold – last quintile) occur in several countries (Latvia, Ireland, Estonia, Slovenia, Slovakia, Lithuania, France, Denmark, Hungary, Norway, and the Netherlands, Fig. 4, Fig. 5), where rates range from 14% to 28% higher than the European average. For females, incidence rates in the last quintile (above 550 per 100,000) occur in Denmark, Ireland, the Netherlands, Norway, United Kingdom and Belgium, where they range from 22% to 38% higher than the European average. The lowest all-cancer incidence rates for both sexes occur in Albania (351.6 per 100,000, −47% as compared to the European average in men, and 213.4, −53% in women), Ukraine (489.3, −26% and 314.7, −31%) and Moldova (542.1, −19% and 310.9, −32%).
      Fig. 4
      Fig. 4a: Age-standardised rates∗ (per 100,000) for all cancers excluding non-melanoma skin cancers by country and sex in Europe for 2020. b: Relative difference (percent) in age-standardised incidence and mortality rates for all cancers excluding non-melanoma skin cancers by country and sex in Europe for 2020, using the European average rate as reference.
      ∗European standard population 2013, based on estimated number of new cases or deaths.
      Fig. 4
      Fig. 4a: Age-standardised rates∗ (per 100,000) for all cancers excluding non-melanoma skin cancers by country and sex in Europe for 2020. b: Relative difference (percent) in age-standardised incidence and mortality rates for all cancers excluding non-melanoma skin cancers by country and sex in Europe for 2020, using the European average rate as reference.
      ∗European standard population 2013, based on estimated number of new cases or deaths.
      Fig. 5
      Fig. 5(a) Age-standardised incidence rates∗ (per 100,000) by sex, area and country in Europe for 2020 for all cancers excluding non-melanoma skin cancers. (b) Age-standardised mortality rates∗ (per 100,000) by sex, area and country in Europe for 2020 for all cancers excluding non-melanoma skin cancers.
      ∗European standard population 2013, based on estimated number of new cases or deaths.
      The highest cancer mortality rates both for men and women occur in Slovakia (495.8 per 100,000, 41% higher than the European average for males, and 262.6 per 100,000, 31% for females), and high rates were estimated for Eastern and Balkan countries overall (e.g. Montenegro, Poland, Serbia, Hungary, and Croatia). The lowest mortality rates occur in Sweden (272, −23%), Iceland (270.9, −23%), and Albania (243.7, −31%) in the male population, and for Spain (161.2, −20%), Ukraine (144, −28%) and Albania (108.5, −46%) in the female population (Fig. 4, Fig. 5).

      3.2 Breast cancer in females

      Breast cancer was estimated to be the most frequently diagnosed cancer among women in all European countries (Table 3 and Fig. 2), and the first cause of female cancer mortality in the majority of countries [24 (60%) European countries and 14 (52%) EU countries]. The cumulative risk of a breast cancer diagnosis before the age of 75 is 8% (1 in 12 women) while the risk of breast cancer death before the age of 75 is 1.6% (1 in 61 women) in Europe. Similar values were estimated for EU-27 where breast cancer was estimated to be the most commonly diagnosed cancer in all age groups (35% of cases in women 0–44 years, 34% for 45–64 years, and 23% in women 65 years or older), and the first cause of cancer mortality in each age group (25%, 19%, 15% respectively).
      There are large variations in the estimated incidence rates of breast cancer among European countries (almost threefold from 71 to 194 per 100,000, Fig. 6). High incidence rates were estimated for countries in Western Europe–Belgium (ASR of 194 per 100,000), the Netherlands (174.4), and Luxembourg (171.6), in Northern Europe–Denmark (171.2), Finland (168.5), and Ireland (164.9), as well as in Southern Europe–Malta (171.3). Incidence rates are considerably lower in Eastern Europe and Balkan countries including Bosnia and Herzegovina (86.3), Moldova (75.7), Ukraine (72.1), and Albania (71) (Fig. 6).
      Fig. 6
      Fig. 6Age-standardised incidence and mortality rates∗ (per 100,000) by area and country in Europe for 2020 for breast cancer.
      ∗European standard population 2013, based on estimated number of new cases or deaths.
      The range of mortality rates also vary more than twofold (from 20.6 to 50.9 per 100,000), with the highest rates estimated in some countries of Southern and Eastern Europe such as Serbia (50.9 per 100,000), Montenegro (49.3), Slovakia (43.8) and Poland (41.8). The lowest mortality rates (below 25 per 100,000) are found in Southern Europe, notably in Albania (20.6) and Spain (23.8), and in Norway (24.1) (Fig. 6).

      3.3 Colorectal cancer

      Colorectal cancer was estimated to be the second most diagnosed cancer in Europe considering both sexes together. Incidence rates of colorectal cancer are higher in men than in women (European average ASR 89 for males and 55 for females, Fig. 7a). The same is true for the cumulative risk before the age of 75 (4.5% for males, corresponding to 1 in 22 men, and 2.9% for females, corresponding to 1 in 35 women) (Table 2). For males, elevated incidence rates were estimated for Slovakia (141.3 per 100,000), Hungary (135.6) and Slovenia (133.3); among females, the highest rates are observed in Norway (92.7), Denmark (83.9) and the Netherlands (78.9). Geographical differences in incidence rates are notable for both sexes (almost eightfold for males, and almost sevenfold for females), with much lower rates estimated for Albania (18.4 for males, 14.4 for females) than for any other European country (Fig. 7a).
      Fig. 7
      Fig. 7(a) Age-standardised incidence rates∗ (per 100,000) by sex, area and country in Europe for 2020 for colorectal cancer. (b) Age-standardised mortality rates∗ (per 100,000) by sex, area and country in Europe for 2020 for colorectal cancer.
      ∗European standard population 2013, based on estimated number of new cases or deaths.
      Colorectal cancer is also the second leading cause of cancer death for both sexes (Fig. 2). Geographical patterns of mortality partially follow incidence, the few exceptions are countries with high rates of colorectal cancer mortality compared with relatively low incidence (e.g. Poland) (Fig. 7b).

      3.4 Lung cancer

      There are almost 480,000 new cases of lung cancer (11.8% of all new diagnoses) and more than 380,000 deaths, corresponding to almost 20% of all cancer deaths (Table 2). Lung cancer represents the first cause of cancer mortality among males in all European countries apart from Sweden, and among females in 13 countries (one-third) of the European countries (Table 3 and Fig. 2). Lung cancer affects men more than women, with a male-to-female incidence ratio ranging from 3 to 10. The cumulative risk of lung cancer diagnosis before the age of 75 is also higher for males than for females (5.4% for males corresponding to 1 in 19 men, and 2.3% for females corresponding to 1 in 44 women) (Table 2). Similar values were estimated in EU-27 for males while cumulative risk for females is slightly higher (2.7%, corresponding to 1 in 37 women) (Table 4). Incidence rates of lung cancer among European countries vary threefold in males and almost ninefold in females (Fig. 9). For males, incidence is highest in Central and Eastern Europe–Hungary (138.3 per 100,000), Serbia (136.4), Bosnia and Herzegovina (131.3), and Latvia (127.9), and in some countries of Southern and Western Europe such as Greece (127.2), Montenegro (123.8), and Belgium (123.5). Low rates were estimated for Finland (67.1), Switzerland (64.3), and Sweden (44.8) (Fig. 9a). Among females, the highest rates are seen in Ireland (85.1), Denmark (85.1), Hungary (76.6), Iceland (74.3) and United Kingdom (71.4); the lowest rates are in Eastern Europe, notably Ukraine (11.8) and Belarus (10) (Fig. 9a). Given the relatively poor prognosis of the disease after diagnosis, geographical patterns of mortality rates are quite similar to those of incidence, in both sexes (Fig. 9b).

      3.5 Prostate cancer

      Prostate cancer was estimated as the fourth most common cancer in Europe in 2020, and is by far the most frequent cancer among males (Fig. 2). The cumulative risk of being diagnosed with prostate cancer before the age of 75 is 8.2% (1 in 12 men), while the risk of prostate cancer death before the age of 75 is1% (1 in 103 men) in Europe. Similar values were estimated also for EU-27 (Table 2, Table 4). Incidence rates of prostate cancer vary fourfold (from 63 per 100,000 of Montenegro to 251 of Ireland). The highest incidence rates were estimated mostly in selected Northern and Western European countries: Ireland (250.9), Estonia (245.4), Sweden (223.1), Norway (222.4), Latvia (219.2), but also France (214.4) and Cyprus (199.6); rates are lowest in Eastern Europe: in Montenegro (62.5), Bosnia and Herzegovina (72.4), Moldova (73.9), Albania (73.9), Ukraine (81.1), and Serbia (86.6) (Fig. 8). Compared to incidence, mortality rates vary less, ranging from the elevated figures estimated for Estonia (78.5) and Slovakia (75.5) to relatively low figures estimated for Spain (28.1) and Italy (22.6) (Fig. 8).
      Fig. 8
      Fig. 8Age-standardised incidence and mortality rates∗ (per 100,000) by area and country in Europe for 2020 for prostate cancer.
      ∗European standard population 2013, based on estimated number of new cases or deaths.
      Fig. 9
      Fig. 9(a) Age-standardised incidence rates∗ (per 100,000) by sex, area and country in Europe for 2020 for lung cancer. (b) Age-standardised mortality rates∗ (per 100,000) by sex, area and country in Europe for 2020 for lung cancer.
      ∗European standard population 2013, based on estimated number of new cases or deaths.

      3.6 Pancreatic cancer

      Pancreatic cancer was estimated to be the fourth leading cause of cancer deaths for both sexes (Fig. 2). There are approximately 140,000 new cases and almost the same number of deaths (Table 2). Pancreatic cancer affects males marginally more than females, with sex ratios closer to 2 mainly in Eastern Europe. The cumulative risk of diagnosis before the age of 75 is similar across sexes, but slightly higher in males (1.1%; 1 in 89 men) than in females (0.7%; 1 in 136 women) (Table 2). Similar values were estimated for EU-27 (Table 4). Rates of pancreatic cancer vary less than twofold among males and almost threefold among females across European countries for both incidence and mortality. For males, high incidence rates are observed in Hungary (29.7 per 100,000 men), Luxembourg (28.6), Estonia (27.7) and Montenegro (27.7), while the lowest incidence was estimated for Spain (19.8), United Kingdom (19.7), Poland (19.7), Portugal (19.3), Bosnia and Herzegovina (19), Ukraine (18.3) and Albania (16.1) (Fig. 10a). For females, a high incidence was estimated for Hungary (21.9), Finland (20.8), Austria (20.2), Czechia (20.1), Sweden (20), and a low incidence for Bosnia and Herzegovina (13.3), Portugal (12.2), North Macedonia (11.8), Belarus (9.9), Ukraine (9.3) and Albania (7.6) (Fig. 10a). Similar patterns are seen in terms of mortality (Fig. 10b).
      Fig. 10
      Fig. 10(a) Age-standardised incidence rates∗ (per 100,000) by sex, area and country in Europe for 2020 for pancreatic cancer. (b) Age-standardised mortality rates∗ (per 100,000) by sex, area and country in Europe for 2020 for pancreatic cancer.
      ∗European standard population 2013, based on estimated number of new cases or deaths.

      4. Discussion

      We estimate over 4 million new cancer cases (excluding non-melanoma skin cancers) and close to 2 million deaths from cancer in Europe in 2020, indicating that on average 11,000 new cancer cases and 5000 cancer deaths occurred every day in Europe over the year. Half of the overall cancer burden in Europe is attributed to breast, colorectal, prostate and lung cancers. The same diseases were also the major causes of cancer deaths in Europe for 2020, but additionally, pancreatic cancer ranks as the fourth leading cause of cancer mortality.
      The 2020 estimates still show considerable geographic variability in the incidence and mortality rates among European countries [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Mathers C.
      • Parkin D.M.
      • Piñeros M.
      • et al.
      Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.
      ] and reflect a number of possible determinants. These include geographic differences in the prevalence of key risk factors for specific cancers, in the effective delivery of national cancer control plans, and in the effective implementation of cancer screening programmes for breast, cervical and colorectal cancers, as well variations in diagnostic practice (e.g. with respect to prostate and thyroid cancer detection) [
      • Welch H.G.
      • Brawley O.W.
      Scrutiny-dependent cancer and self-fulfilling risk factors.
      ,
      • Dal Maso L.
      • Panato C.
      • Franceschi S.
      • Serraino D.
      • Buzzoni C.
      • Busco S.
      • et al.
      The impact of overdiagnosis on thyroid cancer epidemic in Italy,1998-2012.
      ]. National strategies need to be applied or further implemented to reduce the extent of the cancer burden in Europe.
      The cancer-data collection process incurs inevitable delays of several years in order to ensure the harmonisation, completeness, and quality of data necessary for the effective monitoring and control of cancer. Estimates are therefore an efficient interim means of providing a timely snapshot of the cancer situation prior to the availability of up-to-date data. The methodology used in this article is consistent with that previously applied [
      • Ferlay J.
      • Autier P.
      • Boniol M.
      • Heanue M.
      • Colombet M.
      • Boyle P.
      Estimates of the cancer incidence and mortality in Europe in 2006.
      ,
      • Ferlay J.
      • Parkin D.M.
      • Steliarova-Foucher E.
      Estimates of cancer incidence and mortality in Europe in 2008.
      ,
      • Ferlay J.
      • Steliarova-Foucher E.
      • Lortet-Tieulent J.
      • Rosso S.
      • Coebergh J.W.
      • Comber H.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012.
      ,
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ] and utilises the most recently collected data, such as national mortality rates for the years 2004–2018, and national and regional incidence rates for the period 2003–2018. Such a short horizon of prediction increases the accuracy and reliability of prediction provided that the baseline data is sufficient in terms of availability and accuracy.
      Owing mainly to the difficulties in ascertaining and certifying the cause of death and incompleteness of death registrations, cancer mortality data are generally associated with a lower accuracy (and thus validity) than cancer-registry statistics. This may have led to under- or overestimation of the true mortality of cancer for specific sites and to the subsequent bias in incidence estimates when applying mortality to incidence ratios to obtain 2020 incidence. Sensitivity analyses were applied in such cases: incidence estimates obtained based on local incidence data were compared with incidence estimated using mortality to incidence ratios. Results obtained using the former approach were then chosen for selected cancer sites if necessary.
      As performed previously for the 2018 European estimates [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ], we also implemented the redistribution of ill-defined causes of deaths and of ill-defined cancers (other than the usual category "uterus unspecified") across specific cancer sites, which may have led to overestimated mortality. While compatibility with previous 2018 estimates [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ] is granted, direct comparison with other estimates is not straightforward, although another set of 2020 estimates for cancer mortality in the EU-27 plus United Kingdom was published in 2020 [
      • Carioli G.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • Negri E.
      • et al.
      European cancer mortality predictions for the year 2020 with a focus on prostate cancer.
      ] reporting an estimated total number of cancer deaths of 1.43 million (in line with 1.44 million cancer deaths reported in the present study). These figures are very similar despite the different approaches and the redistribution of the ill-defined causes of death and of ill-defined cancers across specific categories (especially on uterine cancer estimates) applied in our analysis. When considering site-specific results, the inclusion of metastatic cancers along with primary neoplasms may have overestimated mortality rates for some sites, including liver, lung and brain.
      Screening programmes and specific diagnostic practices in place in Europe may have inflated regional and national differences in incidence rates observed especially in some cancers: the interpretation of breast, prostate and thyroid cancer variations should be treated with particular care. Similarly for bladder cancer, which may include some carcinomas in situ or tumours of uncertain or unknown in incidence (but not in mortality) depending on the definition of malignancy in each cancer registry [
      • Ferlay J.
      • Colombet M.
      • Soerjomataram I.
      • Dyba T.
      • Randi G.
      • Bettio M.
      • et al.
      Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
      ]. In addition, several sources of data were used in generating the incidence statistics. Incidence rates at national level were provided by 25 European countries, representing 50% of the total European population.
      If the size of the population covered by local registries was sufficiently large (≥60% of the national population), the estimated incidence was predicted using local incidence data (method 1, as for example the case for Germany). This was considered preferable to the calculation making use of mortality-to-incidence ratios (methods 3A and 3B, as in the case of other 15 countries) since the latter requires the additional constraint of stability in the mortality to incidence ratios on the most recent historical data. Moreover, estimation method 3A, in which all incidence and mortality data come from the same country, should be considered more reliable than method 3B, where the mortality to incidence ratio comes from neighbouring countries.
      Despite the possible limitations of the data and methodology described above, the estimates provide a generally balanced overview of the European cancer burden and the associated geographical variations, and they are a valuable and appropriate means of identifying and monitoring cancer-control actions in Europe.
      It has been estimated that almost 40% of cancer cases are preventable [
      • Brown K.F.
      • Rumgay H.
      • Dunlop C.
      • Ryan M.
      • Quartly F.
      • Cox A.
      • et al.
      The fraction of cancer attributable to modifiable risk factors in England, Wales, Scotland, Northern Ireland, and the United Kingdom in 2015.
      ] and thus cancer prevention knowledge and action is crucial (https://ec.europa.eu/jrc/en/health-knowledge-gateway). The European Code Against Cancer [] is a flagship initiative promoting preventive measures in fighting cancer. The Code describes twelve preventive actions that could avoid almost half of all European cancer deaths if respected. The first recommendation concerns smoking habits and tobacco control and is arguably the most important recommendation considering that lung cancer is the leading cause of cancer death in Europe, and furthermore that geographic variations in rates are largely determined by past exposure to tobacco smoking. Among males, incidence and mortality rates of lung cancer show decreasing trends in many European countries, especially in Northern and Western Europe, while in Central and Eastern Europe rates are still high but tending to stabilise or decline [
      • Bray F.I.
      • Weiderpass E.
      Lung cancer mortality trends in 36 European countries: secular trends and birth cohort patterns by sex and region 1970–2007.
      ]. In contrast, female lung cancer incidence rates are still rising in Europe (e.g. France, Spain), although starting to stabilise, notably in the high-risk Nordic countries [
      • Bray F.I.
      • Weiderpass E.
      Lung cancer mortality trends in 36 European countries: secular trends and birth cohort patterns by sex and region 1970–2007.
      ]. The more recent history of tobacco exposure among women can explain the different geographical patterns and time trends compared with males.
      Incidence and mortality of tobacco-related cancers (mainly lung cancer, but also cancers of the head and neck, oesophagus, pancreas and urinary tract) could largely be avoided by primary prevention interventions on smoking habits and tobacco use [
      • Soerjomataram I.
      • de Vries E.
      • Pukkala E.
      • Coebergh J.W.
      Excess of cancers in Europe: a study of eleven major cancers amenable to lifestyle change.
      ,
      • Lortet-Tieulent J.
      • Renteria E.
      • Sharp L.
      • Weiderpass E.
      • Comber H.
      • Baas P.
      • et al.
      Convergence of decreasing male and increasing female incidence rates in major tobacco-related cancers in Europe in 1988-2010.
      ]. At the European level, policies on tobacco control are led by the WHO Framework Convention on Tobacco Control (WHO FCTC) [
      World Health Organization
      WHO Framework Convention on tobacco control.
      ] and the European Tobacco Products Directive (TPD) [
      European Parliament and the Council of the European Union
      Directive 2014/40/EU.
      ], which facilitates EU Member States to transpose the directives into national law. Among the 50 countries in the WHO European Region having ratified the WHO FCTC, only half of them have raised excise taxes on tobacco products. Moreover, only 14 countries have introduced laws on smoke-free public places, and only eight countries offer cessation programmes [
      WHO
      FACTSHEET Sustainable Development Goals: health targets/Tobacco control.
      ].
      The 2020 estimates place colorectal cancer as the second leading cause of cancer death in males, and the third in females. Risk for colorectal cancer has been associated with diets high in red meat and processed meat, overweight, smoking, and alcohol consumption [
      WCRF/AICR
      Food, nutrition, physical activity, and the prevention of cancer: a global perspective.
      ]. Persons with a family history of colorectal cancer are also at higher risk [
      • Ahsan H.
      • Neugut A.I.
      • Garbowski G.C.
      • Jacobson J.S.
      • Forde K.A.
      • Treat M.R.
      • et al.
      Family history of colorectal adenomatous polyps and increased risk for colorectal cancer.
      ]. Protective factors are a diet rich in whole grains, fruits and vegetables, as well as maintenance of a healthy life style, abstinence from smoking, limited alcohol intake and regular physical activity [
      • Lortet-Tieulent J.
      • Renteria E.
      • Sharp L.
      • Weiderpass E.
      • Comber H.
      • Baas P.
      • et al.
      Convergence of decreasing male and increasing female incidence rates in major tobacco-related cancers in Europe in 1988-2010.
      ]. An IARC Handbook Working Group reported there was sufficient evidence that screening for colorectal cancer with currently established stool-based tests (guaiac testing and faecal immunochemical test [FIT]) and lower endoscopy (sigmoidoscopy and colonoscopy) reduce the risk of death from colorectal cancer and that the benefits outweigh the harms associated with each type of screening [
      • Lauby-Secretan B.
      • Vilahur N.
      • Bianchini F.
      • Guha N.
      • Straif K.
      International agency for research on cancer Handbook working group. The IARC perspective on colorectal cancer screening.
      ].
      Breast cancer is the most diagnosed cancer in the female population across all European countries, and is the first cause of cancer death in women in Europe for 2020. However, a number of factors contribute to the observed geographical variations of breast cancer incidence, including implementation of organised and opportunistic screening activities, different prevalence and distribution of the major risk factors (e.g. parity, maternal age at first birth [
      • Brinton L.
      • Gaudet M.
      • Gierach G.
      Breast cancer.
      ]), and possible methodological artefacts applied to countries with little or no data. Breast-cancer mortality rates are nevertheless decreasing in most European countries, especially in Northern and Western Europe [
      • Carioli G.
      • Malvezzi M.
      • Rodriguez T.
      • Bertuccio P.
      • Negri E.
      • La Vecchia C.
      Trends and predictions to 2020 in breast cancer mortality in Europe.
      ]. The favourable mortality trends reflect the advances in earlier detection (due both to screening and increasing breast cancer awareness), improvements in treatment [
      • Kvåle R.
      • Myklebust T.Å.
      • Engholm G.
      • Heinävaara S.
      • Wist E.
      • Møller B.
      Prostate and breast cancer in four Nordic countries: a comparison of incidence and mortality trends across countries and age groups 1975-2013.
      ,
      • Arnold M.
      • Karim-Kos H.E.
      • Coebergh J.W.
      • Byrnes G.
      • Antilla A.
      • Ferlay J.
      • et al.
      Recent trends in incidence of five common cancers in 26 European countries since 1988: analysis of the European Cancer Observatory.
      ], and the possible declining use of hormone replacement therapy [HRT] after 2003 [
      • Carioli G.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • Negri E.
      • et al.
      European cancer mortality predictions for the year 2020 with a focus on prostate cancer.
      ].
      Prostate cancer is the fourth most common cancer diagnosed in Europe for 2020. Prostate cancer diagnoses followed the rapid increase in the detection of early-stage prostate cancers during the early to mid-1990s with the introduction of PSA testing, which is largely responsible for the increase of prostate cancer incidence levels [
      • Arnold M.
      • Karim-Kos H.E.
      • Coebergh J.W.
      • Byrnes G.
      • Antilla A.
      • Ferlay J.
      • et al.
      Recent trends in incidence of five common cancers in 26 European countries since 1988: analysis of the European Cancer Observatory.
      ,
      • Bray F.
      • Lortet-Tieulent J.
      • Ferlay J.
      • Forman D.
      • Auvinen A.
      Prostate cancer incidence and mortality trends in 37 European countries: an overview.
      ]. After increasing for many years, prostate cancer incidence trends are stabilising or decreasing in the last observed 5 years (approximately after 2005), likely due in part to clinical caution in use of PSA testing given intrusive investigation and the possibility of unnecessary diagnosis of clinically irrelevant disease [
      • Culp M.B.
      • Soerjomataram I.
      • Efstathiou J.A.
      • Bray F.
      • Jemal A.
      Recent global patterns in prostate cancer incidence and mortality rates.
      ]. Decreasing mortality trends of prostate cancer in several European countries can be attributed to improvements in prostate cancer treatment [
      • Carioli G.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • Negri E.
      • et al.
      European cancer mortality predictions for the year 2020 with a focus on prostate cancer.
      ,
      • Culp M.B.
      • Soerjomataram I.
      • Efstathiou J.A.
      • Bray F.
      • Jemal A.
      Recent global patterns in prostate cancer incidence and mortality rates.
      ], while geographical differences of mortality levels are still difficult to explain and can only partially be explained by delayed and limited access to modern effective treatments [
      • Carioli G.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • Negri E.
      • et al.
      European cancer mortality predictions for the year 2020 with a focus on prostate cancer.
      ].
      Pancreatic cancer is the fourth cause of cancer death in Europe and in the EU-27 for both sexes. Considering a low and unchanging pancreatic cancer survival [
      • De Angelis R.
      • Sant M.
      • Coleman M.P.
      • Francisci S.
      • Baili P.
      • Pierannunzio D.
      • et al.
      Cancer survival in Europe 1999-2007 by country and age: results of EUROCARE--5-a population-based study.
      ] and the stable or increasing mortality trends [
      • Carioli G.
      • Malvezzi M.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • et al.
      European cancer mortality predictions for the year 2021 with focus on pancreatic and female lung cancer.
      ], a growing number of deaths is expected due to the ageing of the European population. The most important recognised risk factors are tobacco smoking, obesity, dietary habits, alcohol consumption and diabetes mellitus [
      • Carioli G.
      • Malvezzi M.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • et al.
      European cancer mortality predictions for the year 2021 with focus on pancreatic and female lung cancer.
      ,
      GBD 2017 Pancreatic Cancer Collaborators
      The global, regional, and national burden of pancreatic cancer and its attributable risk factors in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.
      ]; the different smoking prevalence patterns by generation could partly explain the increasing mortality rates among females [
      • Carioli G.
      • Malvezzi M.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • et al.
      European cancer mortality predictions for the year 2021 with focus on pancreatic and female lung cancer.
      ].
      The incidence and mortality historical data used as baseline in our prediction process refer to the period prior to the coronavirus disease 2019 (COVID-19) pandemic and therefore the applied methodology does not account for any impact of COVID-19. A future comparison of the 2020 estimates with the recorded cancer incidence and mortality data for the same year, once available, will allow quantification of possible discrepancies for which there is already some evidence. A study published in mid 2020 from the Netherlands showed a notable decrease in cancer diagnoses in 2020 compared with the preceding period [
      • Dinmohamed A.G.
      • Visser O.
      • Verhoeven R.H.A.
      • Louwman M.W.J.
      • van Nederveen F.H.
      • Willems S.M.
      • et al.
      Fewer cancer diagnoses during the COVID-19 epidemic in The Netherlands.
      ]; this effect was observed across all age groups and almost all cancer sites, while it was most pronounced for skin cancers. At the end of the year, the Netherlands Cancer Registry estimated that the decrease of cancer incidence in 2020 was only 3.5% (https://iknl.nl/persberichten/aantal-nieuwe-kankerpatienten-in-2020-gedaald-door). A Slovenian study [
      • Zadnik V.
      • Mihor A.
      • Tomsic S.
      • Zagar T.
      • Bric N.
      • Lokar K.
      • et al.
      Impact of COVID-19 on cancer diagnosis and management in Slovenia - preliminary results.
      ] reported a significant decrease in numbers of first referrals, which may account for the drop of 30% in cancer notifications in April 2020 during the first surge of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) case (indicating delayed cancer diagnosis for some patients). A Danish study found a substantial reduction amounting to one-third of the number of incident cancer diagnoses during the first three months of the pandemic compared with the previous years [
      • Skovlund C.W.
      • Friis S.
      • Dehlendorff C.
      • Nilbert M.C.
      • Mørch L.S.
      Hidden morbidities: drop in cancer diagnoses during the COVID-19 pandemic in Denmark.
      ]. In Northern Ireland, the number of new patients presenting a first pathological sample indicating cancer in the period March 2020–March 2021 was 14% lower than the average reported in previous years (https://www.qub.ac.uk/research-centres/nicr); in this same country the pathologic diagnoses of Barrett's oesophagus fell by 59% compared to historical rates during the first six months of the COVID-19 pandemic [
      • Turkington R.C.
      • Lavery A.
      • Donnelly D.
      • Cairnduff V.
      • McManus D.T.
      • Coleman H.G.
      The impact of the COVID-19 pandemic on Barrett's esophagus and esophagogastric cancer.
      ]. A JRC survey among 40 cancer registries from 22 European countries reported that cancer-screening programmes were mostly stopped or slowed down in the majority of cancer registries' areas, and that cancer diagnostic and treatment activities were severely disrupted [

      Neamtiu L, Martos C, Giusti F, Negrão Carvalho R, Randi G, Dimitrova N, Flego M, Dyba T, Nicholson N, Bettio M and the ENCR Steering Committee, Impact of the first wave of the COVID-19 pandemic on cancer registration and cancer care: a European survey ([submitted] for publication).

      ]. The impact of COVID-19 on cancer mortality data is not always reported for the year 2020 and will be more difficult to ascertain due to the trade-off of possible opposing effects. On the one hand, any delay in cancer diagnosis and/or treatment will generally increase the observed number of cancer deaths, whilst on the other, a harvesting effect on late-stage cancer patients will tend to decrease cancer mortality [
      • Carioli G.
      • Malvezzi M.
      • Bertuccio P.
      • Boffetta P.
      • Levi F.
      • La Vecchia C.
      • et al.
      European cancer mortality predictions for the year 2021 with focus on pancreatic and female lung cancer.
      ].
      Population-based cancer registries are the baseline source for cancer monitoring and planning of cancer control activities at population level [
      • Coebergh J.W.
      • van den Hurk C.
      • Rosso S.
      • Comber H.
      • Storm H.
      • Zanetti R.
      • et al.
      EUROCOURSE lessons learned from and for population-based cancer registries in Europe and their programme owners: improving performance by research programming for public health and clinical evaluation.
      ]. The results presented in this study would have not been possible without the longstanding existence of more than 150 subnational and national cancer registries and their close and continued collaboration in maintaining and providing data under the coordination of the ENCR at the European level. The need for accurate, timely cancer data will only increase, yet the contemporary financial support and advocacy to registries in some countries in Europe does not mirror the increasing demand. The recent requirement to comply with the EU General Data Protection Regulation (GDPR) places additional strain on the registry's activities. This unfavourable condition requires swift and appropriate action from political decision-makers.

      Funding

      No funding declared.

      Authors contribution

      Tadeusz Dyba: Conceptualisation, Methodology, Software, Formal analysis, Writing – Original draft preparation and Review; Giorgia Randi: Conceptualisation, Methodology, Software, Formal analysis, Writing – Original draft preparation and Review, Visualization; Freddie Bray: Conceptualization, Methodology, Writing – Review; Carmen Martos: Data Curation, Writing – Review; Francesco Giusti: Data Curation, Writing – Review; Nicholas Nicholson: Writing – Original draft preparation and Review; Anna Gavin: Writing – Review; Manuela Flego: Writing – Review; Luciana Neamtiu: Writing – Review; Nadya Dimitrova: Writing – Review; Raquel Negrão Carvalho: Conceptualisation, Writing – Review; Jacques Ferlay: Conceptualisation, Methodology, Software, Writing – Review, Supervision; Manola Bettio: Conceptualization, Methodology, Writing – Original draft preparation and Review, Supervision.

      Conflict of interest statement

      None declared.

      Acknowledgements

      The authors gratefully acknowledged the following cancer registries who contributed their data to enable the estimates produced in this study via submission to Cancer Incidence in Five Continents Volume XI and to European Cancer Information System (ECIS): Austria: Austrian Cancer Registry; Belarus: Belarussian National Cancer Registry; Belgium: Belgian Cancer Registry; Bosnia and Herzegovina: Republika of Srpska Cancer Registry; Bulgaria: Bulgarian National Cancer Registry; Croatia: Croatian National Cancer Registry; Cyprus: Cyprus Cancer Registry; North Cyprus Cancer Registry; Czechia: Czech National Cancer Registry; Denmark: Danish Cancer Registry; Estonia: Estonian Cancer Registry; France: Bas-Rhin Cancer Registry, Calvados Cancer Registry, Doubs Cancer Registry, Gironde Cancer Registry, Haut-Rhin Cancer Registry, Herault Cancer Registry, Isere Tumour Registry, Lille-Metropole Cancer Registry, Limousin Cancer Registry, Loire-Atlantique Cancer Registry, Manche Cancer Registry, Somme Cancer Registry, Tarn Cancer Registry, Territoire de Belfort Cancer Registry, Cancer Registry of Poitou-Charentes, Calvados Registry of Digestive Tumours, Bourguignon Digestive Cancer Registry, Cote d Or Hemopathy Registry, Finistere Registry of Digestive Tumours, Gironde Registry of Malignant Hemopathy, Cancer registry of tumours on the nervous system in Gironde, Lower Normandy Hemopathy Registry, Poitou-Charentes Cancer Registry; Germany: Cancer Registry Bavaria, Common Cancer Registry of the federal states Berlin, Brandenburg, Mecklenburg-Western Pomerania, Saxony-Anhalt and of the Free States of Saxony and Thuringia (CCR), Bremen Cancer Registry, Hamburg Cancer Registry, Hessen Cancer Registry, Lower Saxony Cancer Registry, Epidemiological Cancer Registry North Rhine-Westphalia, Cancer Registry of Rhineland-Palatinate, Saarland Cancer Registry, Schleswig–Holstein Cancer Registry; Iceland: Icelandic Cancer Registry; Ireland: National Cancer Registry Ireland; Italy: Aosta Valley Cancer Registry, Barletta Cancer Registry, Basilicata Cancer Registry, Bergamo Cancer Registry, Province of Biella Cancer Registry, Cancer Registry of the Brescia Local Health Unit, Brindisi Cancer Registry, Cancer Registry of Caserta, Integrated Cancer Registry of Catania-Messina-Siracusa-Enna, Catanzaro Tumour Registry, Cancer Registry of Como province, Cremona Cancer Registry, Ferrara Province Cancer Registry, Friuli-Venezia Giulia Cancer Registry, Latina Province Cancer Registry, Cancer Registry of Puglia - Province of Lecce, Lecco Cancer Registry, Liguria Region Tumour Registry, Cancer Registry of Lodi, Cancer Registry of Pavia (South Lombardy in Cancer Incidence and Five Continents, Volume XI),Macerata Province Tumour Registry, Mantova Cancer Registry, Milano Tumour Registry, Tumour Registry of Modena, Monza and Brianza Cancer Registry, Naples Cancer Registry, Nuoro Cancer Registry, Palermo Province Cancer Registry, Parma Cancer Registry, Piacenza Cancer Registry, Ragusa Cancer Registry, Reggio Emilia Province Tumour Registry, Romagna Tumour Registry, Salerno Province Tumour Registry, Sassari Province Tumour Registry, Sondrio Province Tumour Registry, South Tyrol Cancer Registry, Cancer Registry of the Province of Syracuse, Taranto Cancer Registry, Trapani Cancer Registry, Trento Cancer Registry, Piedmont Tumour Registry, Tuscany Region Tumour Registry, Umbrian Tumour Registry, Varese Tumour Registry, Veneto Tumour Registry, Viterbo Province cancer Registry; Latvia: Latvian Cancer Registry; Lithuania: Lithuanian Cancer Registry; Malta: Malta National Cancer Registry; Montenegro: Registry of Malignant Neoplasms of Montenegro; Netherlands: Netherlands Cancer Registry; Norway: Cancer Registry of Norway; Poland: National Registry of Poland, Cracow City and District Cancer Registry, Greater Poland Cancer Registry, Kielce Regional Cancer Registry, Lower Silesian Cancer Registry, Lublin Cancer Registry, Podkarpackie Cancer Registry; Portugal: Azores Cancer Registry, Central Region Cancer Registry, North Region Cancer Registry, South Region Cancer Registry; Romania: Cluj Regional Cancer Registry, Timisoara Regional Cancer Registry; Russian Federation: Arkhangelsk Cancer Registry, Chelyabinsk Cancer Registry, Karelia Cancer Registry, Saint Petersburg Cancer Registry, Samara Cancer Registry; Serbia: Central Serbia Cancer Registry; Slovakia: Slovakia National Cancer Registry; Slovenia: Cancer Registry of the Republic of Slovenia; Spain: Albacete Cancer Registry, Asturias Cancer Registry, Basque Country Cancer Registry, Canary Islands Cancer Registry, Castellón Cancer Registry, Ciudad Real Cancer Registry, Cuenca Cancer Registry, Girona Cancer Registry, Granada Cancer Registry, La Rioja Cancer Registry, Mallorca Cancer Registry, Murcia Cancer Registry, Navarra Cancer Registry, Tarragona Cancer Registry; Switzerland: Aargau Cancer Registry, Basel Cancer Registry, Bern Cancer Registry, Central Switzerland Cancer Registry, Fribourg Tumour Registry, Geneva Cancer Registry, Graubünden and Glarus Cancer Registry, Neuchatel Cancer Registry, St. Gallen-Appenzell Cancer Registry, Thurgau Cancer Registry, Ticino Cancer Registry, Valais Cancer Registry, Vaud Cancer Registry, Zürich and Zug Cancer Registry; United Kingdom: National Cancer Registration Service (NCRS), Northern Ireland Cancer Registry, Scottish Cancer Registry, Welsh Cancer Intelligence and Surveillance Unit; Ukraine: National Cancer Registry of Ukraine.
      The authors are grateful to Mr Fabrizio Zaro for his help in the visualisation and data presentation.

      Appendix A

      Appendix Table A1aEstimated number of new cancer cases (hundreds) and ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases; M = Males, F = Females.
      (per 100,000) of cancer incidence by sex, cancer site and country in Europe for 2020.
      Country/regionLip, oral cavity and pharynxOesophagusStomachColorectumLiver
      C00–14C15C16C18–21C22
      MFMFMFMFMF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe933.427.2352.98.4404.212.3125.82.9837.226.2523.212.12817.189.02381.155.4580.818.0295.56.8
      EU-27560.425.6238.69.3232.910.970.42.7466.622.4287.810.61910.591.61503.756.3419.119.8190.27.0
      Central and Eastern Europe409.034.2108.66.7125.211.029.21.8399.338.5255.915.7891.988.1837.651.4151.814.696.05.9
      Belarus15.339.72.24.35.013.50.51.016.451.911.021.027.289.528.053.43.711.01.73.3
      Bulgaria6.719.52.35.41.85.20.51.18.125.04.610.527.083.819.544.94.212.52.25.2
      Czechia12.024.15.69.65.711.61.22.17.817.55.89.850.2110.635.158.86.614.53.66.0
      Hungary17.739.56.912.15.011.61.22.010.426.67.412.555.0135.642.973.07.217.73.25.5
      Republic of Moldova5.839.00.63.71.39.30.10.74.334.02.312.512.093.77.943.84.130.01.79.8
      Poland57.334.421.610.314.48.94.01.940.227.223.711.3148.499.9107.651.216.711.211.75.5
      Romania37.641.07.36.86.67.41.61.527.033.112.711.676.193.153.348.923.828.512.411.3
      Russia185.033.548.16.064.312.517.52.2223.148.1150.519.1356.878.0415.352.367.914.649.26.3
      Slovakia10.141.32.07.33.314.10.51.77.337.64.917.828.5141.319.771.14.423.31.97.0
      Ukraine61.634.912.14.817.710.32.20.954.735.033.113.1110.772.9108.342.513.38.38.33.3
      Northern Europe109.822.456.410.390.719.139.06.872.615.542.17.4444.694.2371.766.174.515.744.77.9
      Denmark7.827.43.612.03.813.61.54.83.713.91.96.331.6117.826.183.94.114.82.47.6
      Estonia1.324.20.45.30.713.20.21.72.142.21.719.54.594.85.158.80.917.30.56.2
      Finland4.516.62.88.42.69.31.02.83.212.32.47.019.874.618.053.54.215.72.16.0
      Iceland0.211.30.14.90.215.70.14.10.212.30.18.21.177.80.961.40.212.10.15.4
      Ireland3.719.41.78.73.621.21.79.04.627.12.311.918.6109.613.268.13.118.51.68.6
      Latvia3.037.80.75.61.215.50.21.93.142.92.217.48.5124.18.969.60.911.90.64.8
      Lithuania3.327.90.94.81.916.30.42.14.844.73.921.09.389.49.652.01.715.81.15.7
      Norway4.518.72.39.02.611.00.83.23.013.41.76.325.5112.524.292.72.812.31.34.9
      Sweden8.116.75.29.84.18.61.83.14.910.23.05.435.573.732.358.86.513.23.35.9
      United Kingdom73.323.438.611.269.823.031.38.742.814.322.96.4288.995.3232.365.950.016.431.68.9
      Southern Europe158.220.566.97.148.96.414.21.5186.324.9119.312.2710.194.2525.855.3169.422.278.68.1
      Albania1.311.70.87.40.54.40.10.83.429.61.310.82.118.41.814.41.08.90.75.6
      Bosnia and Herzegovina2.617.21.26.91.06.60.21.34.833.92.815.810.975.27.843.83.021.52.514.1
      Croatia4.622.61.45.71.78.80.41.65.328.93.714.422.3119.614.857.74.021.21.97.1
      Cyprus0.49.00.23.70.23.40.00.80.715.90.510.53.788.11.734.00.716.70.47.9
      Greece7.213.43.34.71.83.40.60.911.320.96.59.345.383.633.749.112.022.26.39.1
      Italy52.516.627.27.115.14.86.51.685.527.458.213.9255.981.6229.957.478.624.938.89.4
      North Macedonia0.710.30.33.00.44.70.10.62.228.91.112.24.658.04.951.11.316.30.77.5
      Malta0.312.70.15.40.29.50.11.80.523.80.29.61.781.01.249.50.312.30.14.6
      Montenegro0.623.10.310.70.28.80.13.20.622.90.26.31.981.31.446.80.314.00.28.0
      Portugal17.334.04.06.16.011.90.91.317.435.612.117.964.2130.940.861.511.423.14.15.9
      Serbia11.028.73.47.42.76.70.81.68.323.14.59.637.999.522.047.15.615.04.49.4
      Slovenia3.028.40.86.40.88.00.21.72.829.01.713.313.0133.37.258.72.424.11.07.8
      Spain56.625.323.98.818.48.34.21.643.320.226.59.5246.1114.4158.358.448.822.117.76.4
      Western Europe256.526.2121.010.9139.414.543.53.8179.018.9105.98.9770.581.5645.954.7185.119.476.26.3
      Austria8.319.43.77.53.58.31.22.47.618.94.99.626.265.418.837.27.718.93.46.7
      Belgium15.327.66.19.98.115.23.25.110.320.05.68.654.4105.141.564.59.117.03.85.8
      France113.236.248.513.341.013.412.13.247.115.524.36.0257.885.3222.856.483.027.132.18.0
      Germany92.920.948.69.860.413.718.33.693.721.559.611.2308.770.8266.550.066.815.228.75.3
      Luxembourg0.623.40.15.00.313.20.13.30.520.70.28.21.878.41.554.20.520.50.27.8
      Netherlands15.318.09.810.620.825.46.97.413.516.97.58.196.5120.173.678.99.812.35.15.5
      Switzerland10.825.84.29.05.313.21.63.46.315.83.87.924.863.220.944.48.221.02.96.1
      Country/regionGallbladderPancreasLarynxLungMelanomaBreastCervix uteri
      C23C25C32C33–34C43C50C53
      MFMFMFMFMFFF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe38.81.386.92.0702.122.2699.116.0349.510.349.11.23150.597.61624.838.3763.123.2743.218.25310.9128.6581.714.6
      EU-2726.61.351.01.9471.322.6477.617.5211.89.834.51.42052.597.21130.743.9554.026.0509.720.83554.6142.8304.512.8
      Central and Eastern Europe14.01.638.62.4225.821.6218.013.4165.814.115.50.91119.9103.8396.524.2121.911.1158.09.81587.197.6323.520.2
      Belarus0.31.01.32.56.820.95.29.96.316.40.20.436.4107.95.210.03.810.85.29.847.589.48.416
      Bulgaria0.41.40.81.97.623.06.013.75.014.50.41.033.697.99.422.63.09.13.38.140.6100.010.126
      Czechia1.33.02.74.512.627.512.120.14.38.50.71.241.588.924.140.113.729.212.221.277.2132.07.713.5
      Hungary0.71.81.72.912.029.713.021.96.615.01.62.958.1138.344.676.67.718.07.112.675.7134.112.523.3
      Republic of Moldova0.10.50.21.23.023.62.715.43.320.70.21.012.892.23.016.71.07.30.84.714.975.74.822
      Poland3.22.37.63.629.719.729.614.127.116.54.22.0182.8120.0112.353.117.210.820.29.7246.4119.138.618.9
      Romania1.21.51.21.117.220.715.113.818.019.81.21.190.3105.330.928.57.98.97.67.1120.9113.133.832.3
      Russia4.91.216.82.1102.621.4105.513.467.112.35.40.7509.9102.4128.916.148.19.574.29.3750.593.1153.119.1
      Slovakia0.84.22.38.65.526.85.319.33.815.70.20.825.3120.07.928.14.219.44.014.230.8108.67.024.2
      Ukraine1.20.94.01.628.818.323.69.324.413.91.30.5129.280.730.011.815.39.123.59.4182.672.147.619.2
      Northern Europe5.91.312.82.297.120.797.417.131.66.56.71.2394.183.7356.463.6169.435.2166.130.6831.8153.766.712.6
      Denmark0.20.90.41.15.821.56.019.22.07.10.51.524.088.326.585.113.850.715.051.350.8171.23.813.4
      Estonia0.11.50.21.71.427.71.618.00.610.90.10.95.8117.32.327.71.224.21.520.28.4109.62.027.4
      Finland0.62.00.82.46.925.77.220.81.03.70.20.518.267.111.132.810.940.810.032.852.3168.51.96.67
      Iceland0.00.90.01.60.321.20.216.80.16.00.00.71.072.11.174.30.216.10.316.02.3151.10.29.92
      Ireland0.21.30.42.33.622.23.116.51.810.10.31.316.498.616.385.15.430.37.737.634.3164.93.415.6
      Latvia0.10.70.11.01.926.42.216.41.113.90.10.78.9127.93.224.71.115.21.210.312.6108.92.725.1
      Lithuania0.11.30.42.32.624.33.217.11.512.90.10.711.1103.23.921.32.118.73.118.217.7106.54.126.8
      Norway0.20.90.31.14.720.84.517.41.04.10.20.916.673.816.563.913.055.412.748.636.7141.84.014.9
      Sweden0.92.01.22.210.221.211.220.01.32.70.20.421.644.824.143.921.544.621.241.375.3147.76.613.3
      United Kingdom3.51.28.92.559.519.757.716.221.26.85.01.5269.489.3250.471.499.632.493.027.1538.9157.537.911.2
      Southern Europe10.21.417.71.8152.520.3155.915.981.710.611.01.2740.198.0303.833.2124.416.2114.813.41201.9135.790.510.8
      Albania0.10.70.10.41.816.10.97.61.310.50.22.09.282.01.915.60.42.80.21.69.471.01.310
      Bosnia and Herzegovina0.64.91.16.32.819.02.413.32.414.90.42.219.8131.35.329.41.17.71.48.115.586.33.118
      Croatia0.63.21.14.14.323.04.416.82.713.10.21.022.8118.49.638.53.819.63.213.528.9120.33.414.7
      Cyprus0.12.00.12.31.023.40.714.80.59.90.00.84.5102.11.324.60.510.00.47.47.6140.40.57.9
      Greece0.40.70.50.612.422.910.615.67.413.70.81.167.9127.221.733.97.513.85.79.377.7124.47.011.6
      Italy4.01.36.71.664.320.677.318.327.78.84.61.2283.790.9135.835.168.521.856.616.5551.3151.131.59.36
      North Macedonia0.11.20.33.41.722.91.111.91.718.80.21.58.9103.32.425.41.212.60.88.89.999.21.110.9
      Malta0.00.60.00.70.525.50.518.20.210.30.01.62.0100.30.623.90.312.60.311.14.0171.30.15.65
      Montenegro0.01.80.12.30.627.70.414.20.624.20.13.33.2123.81.340.40.311.10.38.83.8123.11.136.1
      Portugal0.51.01.01.49.419.38.512.24.89.60.50.739.379.514.822.85.110.25.79.470.4116.98.715.1
      Serbia0.92.52.04.18.522.87.416.06.616.60.91.854.1136.426.455.26.015.15.111.267.2145.312.126.5
      Slovenia0.22.60.54.02.424.52.217.70.98.50.11.09.392.95.545.33.837.53.631.214.1121.21.09.42
      Spain2.81.34.51.542.719.839.414.225.011.33.11.2214.899.177.129.925.811.631.412.3340.9132.019.67.81
      Western Europe8.70.917.81.5226.724.0227.918.870.47.216.01.5896.593.7568.150.6347.536.4304.228.81690.2156.5101.09.86
      Austria0.41.10.91.89.824.310.320.22.35.40.51.129.972.822.646.310.324.910.121.359.2122.73.98.14
      Belgium0.40.80.91.410.620.510.716.25.29.51.01.764.3123.532.252.514.226.319.532.6117.3194.06.410.8
      France2.30.84.21.171.223.573.418.127.18.85.51.5319.4103.9163.644.286.928.477.622.0580.8164.433.89.85
      Germany4.51.09.51.7108.524.9107.019.527.86.36.81.4384.487.1263.752.4172.639.9142.131.2697.0145.046.710.7
      Luxembourg0.12.60.00.90.628.60.516.90.310.80.01.52.4102.61.140.60.830.60.620.85.0171.60.28.05
      Netherlands0.70.91.41.516.721.116.617.65.86.91.61.770.590.064.569.444.254.238.943.7157.3174.47.79.1
      Switzerland0.41.00.91.99.323.59.419.71.94.50.51.125.364.320.243.818.244.815.433.772.9160.82.45.2
      European areas are reported in bold.
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases; M = Males, F = Females.
      Appendix Table A1bEstimated number of new cancer cases (hundreds) and ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases; M = Males, F = Females; CNS = central nervous system; NHL = Non-Hodgkin lymphoma.
      (per 100,000) of cancer incidence by sex, cancer site and country in Europe for 2020.
      Country/regionCorpus uteriOvaryProstateTestisKidneyBladderBrain, CNS
      C54C56C61C62C64–65C67C70–72
      FFMMMFMFMF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe1300.531.2666.916.04733.4148.1250.66.7858.225.9527.912.51566.650.5473.310.9361.910.6309.27.5
      EU-27733.328.9394.115.53355.1158.7176.48.0552.325.8316.112.11215.558.9359.413.4238.511.1197.27.8
      Central and Eastern Europe592.936.1285.317.61116.7114.466.34.6293.025.6204.812.5387.639.4122.67.5119.810.0114.47.1
      Belarus21.740.29.317.740.8135.91.53.312.332.86.912.910.435.72.14.12.86.73.16.0
      Bulgaria13.432.56.816.949.8156.62.36.75.416.03.07.314.043.34.510.54.312.83.68.7
      Czechia21.135.79.916.891.2188.44.98.921.244.812.020.122.249.77.111.75.110.34.06.8
      Hungary17.029.511.820.962.3155.14.89.412.328.48.314.321.453.611.018.94.19.33.66.4
      Republic of Moldova5.225.32.411.68.173.80.31.32.315.21.37.14.336.00.95.51.69.61.57.1
      Poland98.747.846.722.6180.8126.013.16.537.323.723.711.385.360.330.014.124.114.620.09.7
      Romania23.621.919.117.980.6101.94.24.117.219.510.39.541.450.89.99.19.911.08.57.9
      Russia284.435.1131.916.4464.5106.226.33.8139.625.9111.313.8137.029.942.65.452.79.355.97.0
      Slovakia10.837.96.021.225.0133.22.69.18.036.15.419.08.846.13.312.03.013.32.59.1
      Ukraine97.137.941.416.5113.681.16.33.037.421.622.68.942.929.111.24.412.26.311.84.8
      Northern Europe178.732.794.617.2934.3195.240.77.8134.127.982.714.9171.536.961.810.854.011.041.67.6
      Denmark9.530.94.615.047.6172.93.010.67.426.63.812.617.866.75.417.32.910.52.37.5
      Estonia2.329.01.519.112.3245.40.23.32.345.31.518.62.247.50.910.30.611.10.67.7
      Finland8.927.04.915.157.1208.52.07.46.524.04.212.510.038.22.57.22.59.12.16.6
      Iceland0.428.40.211.52.2159.30.15.10.430.50.216.20.753.80.212.20.212.70.19.5
      Ireland8.140.34.823.945.0250.92.09.16.737.53.115.87.344.42.814.52.211.72.09.6
      Latvia3.832.33.026.015.3219.20.33.72.937.42.419.23.854.51.914.91.013.01.210.5
      Lithuania8.047.13.520.922.4198.00.43.24.742.63.419.64.442.91.68.41.916.41.810.7
      Norway8.633.24.316.752.3222.43.412.07.430.73.312.712.757.44.517.42.711.01.87.0
      Sweden14.727.57.013.2109.5223.13.87.59.519.45.29.922.446.77.313.14.89.83.66.9
      United Kingdom113.933.260.617.4567.8186.125.47.685.928.055.215.789.730.034.69.635.011.225.97.5
      Southern Europe240.026.8127.814.3982.1129.850.56.8179.523.493.410.2488.965.3125.913.285.111.170.67.9
      Albania2.015.00.85.67.973.90.85.31.613.70.64.82.928.10.98.01.511.90.75.5
      Bosnia and Herzegovina3.720.03.217.68.972.40.74.32.415.61.26.64.431.11.810.02.516.72.212.2
      Croatia7.931.94.920.224.8128.51.99.35.729.43.212.910.556.33.513.92.613.32.29.0
      Cyprus1.528.90.713.78.2199.60.56.90.612.80.47.01.126.10.59.10.611.10.48.2
      Greece21.234.210.216.162.2116.23.26.112.122.36.09.248.490.28.011.97.313.56.710.4
      Italy100.127.053.714.4393.2124.523.88.076.424.246.712.2225.272.058.114.431.210.026.27.1
      North Macedonia3.736.41.111.37.9109.30.75.80.67.60.32.93.037.20.77.72.123.61.010.0
      Malta0.832.00.418.53.4157.60.16.20.419.90.312.61.155.80.312.30.29.80.27.2
      Montenegro0.722.60.618.51.462.50.37.90.621.70.25.81.247.40.413.60.39.90.26.8
      Portugal12.419.75.69.067.6136.52.45.28.116.43.86.019.039.27.110.36.513.34.57.3
      Serbia15.432.49.720.831.486.63.98.57.518.94.08.519.150.56.413.65.513.84.710.2
      Slovenia4.538.11.815.318.3182.31.110.93.332.41.411.74.243.81.511.81.312.81.08.2
      Spain66.025.835.113.6346.1162.110.94.960.226.925.49.6148.470.236.713.523.610.520.68.1
      Western Europe289.025.9159.314.11700.3177.993.19.8251.626.2147.112.8518.555.2162.913.7103.110.782.77.6
      Austria9.519.57.815.960.9148.53.68.18.420.15.210.410.927.64.38.63.89.03.26.6
      Belgium13.622.06.610.881.6154.24.16.913.424.98.713.935.569.59.815.15.910.73.35.4
      France109.829.853.214.0660.7214.427.58.896.731.550.413.3133.244.631.77.739.312.731.98.7
      Germany123.624.871.614.3679.6156.445.011.4105.524.167.913.2259.459.692.117.341.59.835.57.5
      Luxembourg0.621.40.517.53.9165.40.38.30.415.70.28.50.941.40.28.50.310.00.25.4
      Netherlands22.023.712.513.4145.8172.78.310.119.924.110.311.156.771.517.518.78.19.65.86.4
      Switzerland9.721.37.015.367.1165.54.39.77.318.34.49.421.756.27.215.44.210.02.96.4
      Country/regionThyroidHodgkin lymphomaNHLMultiple myelomaLeukaemiaAll sites
      C73C81C82–86, C96C88+C90C91–95C00–97/C44
      MFMFMFMFMFMF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe193.55.5678.217.1110.03.188.62.3673.820.7556.013.1278.38.9230.95.4558.017.4442.210.521301.8660.319120.8456.1
      EU-27136.86.2440.318.968.73.250.92.2478.622.6384.614.8201.09.7157.55.9375.618.0289.911.114449.5685.212370.1483.6
      Central and Eastern Europe53.54.2249.415.631.62.331.42.0136.212.0129.78.052.94.960.23.7152.314.0139.48.66367.1600.56325.8389.3
      Belarus1.53.49.818.91.12.41.22.33.911.23.77.11.65.21.83.35.416.55.19.8212.6646.8192.7365.7
      Bulgaria0.71.93.28.60.61.70.71.93.510.43.07.30.92.60.92.12.98.92.66.5195.4594.5152.0367.7
      Czechia3.36.510.618.81.42.61.32.39.620.79.015.23.16.62.64.48.619.06.210.6344.0732.8289.7491.5
      Hungary2.45.210.720.31.02.21.01.97.217.08.614.92.25.42.13.67.318.26.010.5315.0760.6309.0540.0
      Republic of Moldova0.94.52.310.60.31.50.31.31.710.01.57.50.42.90.52.31.49.11.05.272.7542.159.7310.9
      Poland7.54.332.515.93.41.82.61.324.615.418.99.010.97.411.85.723.715.621.710.5989.8654.1974.7467.8
      Romania2.82.914.313.81.51.61.11.19.510.69.68.94.75.54.13.811.013.18.07.5518.8615.8434.0404.0
      Russia23.94.0120.915.116.62.516.42.156.510.457.87.222.44.328.93.668.013.168.58.62780.5571.62984.9372.8
      Slovakia1.03.73.712.80.83.20.72.53.517.33.512.71.99.72.17.84.320.93.512.7159.7773.3135.1482.7
      Ukraine9.75.041.316.95.02.46.22.716.29.114.05.64.82.85.42.119.711.716.76.7778.7489.3794.0314.7
      Northern Europe22.54.571.313.418.73.614.22.6135.628.4109.319.653.911.440.87.396.220.168.012.13351.3703.13040.7550.7
      Denmark1.86.63.913.60.93.20.62.28.531.06.119.83.010.92.27.15.420.13.511.5207.3760.9192.7633.9
      Estonia0.23.00.911.90.12.30.22.61.222.41.214.70.49.00.55.71.120.60.911.140.7817.236.3451.1
      Finland1.34.64.917.20.93.40.72.57.327.36.118.52.28.12.16.34.015.02.98.7176.4654.3159.7495.6
      Iceland0.16.20.211.20.01.20.13.00.321.10.317.20.214.40.19.50.215.90.17.38.2601.77.6511.3
      Ireland0.73.35.022.90.73.50.62.95.128.44.020.12.011.81.47.03.620.32.713.1143.8821.7126.9631.2
      Latvia0.34.42.825.00.33.50.22.11.013.61.612.80.67.60.64.81.317.21.612.660.9851.759.7492.0
      Lithuania0.64.73.019.50.32.40.32.02.321.22.514.10.97.91.05.72.523.32.815.684.1769.981.5470.3
      Norway1.76.63.513.41.03.60.62.35.925.14.617.63.113.52.59.64.619.33.312.4176.9760.4149.6574.5
      Sweden2.14.35.410.91.22.40.91.910.421.67.814.44.89.83.36.07.916.35.510.1306.6630.9262.3496.0
      United Kingdom13.94.341.412.213.34.09.92.993.230.474.921.436.812.227.07.765.421.344.712.62136.5700.41955.8562.4
      Southern Europe56.97.3167.120.726.23.520.62.7156.920.6130.814.466.98.953.35.6121.116.294.510.34842.3640.34043.8445.1
      Albania0.21.60.85.30.21.70.31.90.43.00.21.30.32.20.10.81.39.60.97.139.9351.627.1213.4
      Bosnia and Herzegovina0.31.41.16.40.53.20.53.21.27.90.95.20.53.20.52.51.812.81.37.577.7539.464.8364.2
      Croatia1.67.55.725.20.52.50.52.12.915.12.911.81.58.31.35.02.816.12.49.3135.0709.2115.0467.0
      Cyprus0.610.12.338.40.23.00.23.60.919.00.917.90.49.70.47.30.818.30.612.427.4631.722.5423.9
      Greece3.76.98.815.21.83.31.83.28.816.36.810.84.88.84.46.510.619.77.811.8354.2658.6271.6421.7
      Italy34.511.088.427.911.73.99.53.178.625.161.716.331.410.026.36.651.516.642.010.91994.7636.31832.0485.9
      North Macedonia0.11.20.54.40.32.90.21.60.55.00.44.20.22.60.11.20.910.60.66.641.0507.232.9339.7
      Malta0.15.80.419.70.13.00.12.10.521.30.521.30.28.20.14.60.211.70.28.012.8618.711.1463.7
      Montenegro0.14.10.26.60.13.80.13.10.621.80.413.10.15.80.12.60.521.60.311.414.7601.213.3440.1
      Portugal3.06.014.024.91.53.00.91.711.523.39.514.95.511.23.45.28.417.47.111.1324.4658.5253.1401.7
      Serbia1.33.04.08.71.33.11.12.34.711.84.710.02.35.72.55.25.915.74.610.1244.4635.3229.1491.6
      Slovenia0.43.91.311.80.22.20.22.33.132.33.125.11.09.70.86.31.920.51.411.277.0777.958.7492.9
      Spain11.04.739.616.27.73.45.32.343.219.438.814.918.78.713.44.934.316.025.19.51495.1691.21109.5422.4
      Western Europe60.56.2190.418.833.53.522.42.3245.125.8186.216.2104.711.176.56.5188.419.9140.212.16741.2707.35710.6510.9
      Austria4.39.711.023.80.71.60.81.77.418.16.412.93.27.92.75.47.318.15.310.7232.5567.7210.4430.1
      Belgium3.15.510.217.32.23.81.42.416.631.311.718.77.213.73.76.013.525.411.117.5395.0749.8346.7561.3
      France28.49.1102.730.712.03.88.42.583.827.560.615.538.612.831.17.866.521.850.712.92331.6761.41896.7512.4
      Germany19.14.548.110.914.43.58.72.1103.323.982.216.042.29.728.65.479.318.658.711.62894.0665.42487.4499.1
      Luxembourg0.26.40.619.20.12.30.12.50.623.90.416.10.311.50.26.50.524.00.28.316.0673.113.6474.4
      Netherlands2.53.06.27.22.63.12.02.324.029.517.118.58.710.76.46.814.417.69.410.2617.6759.0528.5577.2
      Switzerland3.06.911.525.91.63.71.02.29.423.67.616.34.511.53.88.17.017.74.710.1251.8629.7225.3489.5
      European areas are reported in bold.
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases; M = Males, F = Females; CNS = central nervous system; NHL = Non-Hodgkin lymphoma.
      Appendix Table A2aEstimated number of deaths (hundreds) and ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of deaths; M = Males, F = Females.
      (per 100,000) of cancer mortality by sex, cancer site and country in Europe for 2020.
      Country/regionLip, oral cavity and pharynxOesophagusStomachColorectumLiver
      C00–14C15C16C18–21C22
      MFMFMFMFMF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe414.212.3124.62.9349.110.8106.02.4594.618.9375.48.61318.943.51129.425.5513.416.3270.76.2
      EU-27238.111.079.83.0198.59.457.72.1321.415.7199.47.2871.943.1689.224.5366.217.6172.56.3
      Central and Eastern Europe214.118.048.23.0114.410.126.91.7304.430.3195.812.1483.851.9450.127.8139.913.690.25.6
      Belarus9.724.91.42.54.612.70.50.912.139.87.915.213.850.914.126.93.510.61.63.1
      Bulgaria3.49.80.92.11.74.90.41.06.420.84.310.116.353.611.426.33.711.42.14.9
      Czechia5.611.42.33.94.810.01.22.05.612.73.96.620.146.614.323.95.412.03.35.5
      Hungary10.523.82.95.04.310.01.11.88.021.15.79.627.372.021.536.16.315.73.15.2
      Republic of Moldova4.127.40.32.01.28.60.10.63.629.41.810.37.261.84.727.63.929.21.79.8
      Poland30.218.59.24.413.78.63.61.735.624.819.99.486.463.364.430.514.29.710.34.8
      Romania20.622.72.92.75.76.51.51.322.127.510.49.541.153.228.025.622.026.511.810.8
      Russia89.416.222.52.859.111.616.22.0165.436.8113.414.5196.247.1224.628.764.513.946.75.9
      Slovakia6.024.70.93.42.812.40.51.73.921.13.111.414.582.711.342.93.719.41.76.1
      Ukraine34.619.35.02.016.49.52.00.841.727.525.410.160.942.655.822.012.77.97.93.1
      Northern Europe39.18.116.83.077.216.432.75.648.310.529.45.1178.138.9159.627.364.913.940.27.0
      Denmark2.79.91.13.63.412.61.13.42.69.91.65.010.540.79.429.64.014.62.47.6
      Estonia0.815.70.11.40.611.30.11.51.530.11.416.72.556.93.032.80.815.30.55.9
      Finland1.45.20.92.62.59.00.82.32.59.61.75.08.131.36.819.54.115.31.95.5
      Iceland0.02.90.01.40.213.60.13.20.16.50.14.60.427.90.322.50.211.60.14.9
      Ireland1.58.30.52.83.520.91.47.21.911.61.47.57.547.75.328.02.816.91.47.4
      Latvia1.721.60.32.31.013.50.21.82.638.11.612.03.045.43.828.40.810.40.53.7
      Lithuania2.723.00.52.81.714.90.31.83.736.32.513.34.546.14.523.71.613.90.94.8
      Norway1.14.80.51.92.19.40.72.62.09.31.03.69.343.49.335.12.712.01.14.3
      Sweden2.55.21.52.74.08.31.52.63.36.92.34.216.234.315.426.95.712.02.95.0
      United Kingdom24.68.011.33.258.019.226.57.328.09.415.84.3115.739.1101.227.642.214.128.47.9
      Southern Europe65.08.524.92.543.65.712.11.2131.417.783.18.3315.842.8238.223.5144.519.268.06.8
      Albania0.87.10.43.50.44.10.10.82.824.51.19.51.210.91.08.41.08.30.65.1
      Bosnia and Herzegovina1.38.90.42.40.96.10.21.33.828.42.313.06.549.74.626.72.821.02.413.9
      Croatia2.713.90.72.51.47.10.31.34.223.82.911.113.679.19.636.63.620.11.76.4
      Cyprus0.23.60.11.30.13.50.00.40.716.10.59.81.640.41.122.90.615.00.47.2
      Greece3.05.51.41.91.62.90.50.78.515.64.96.922.941.416.922.99.818.15.47.6
      Italy22.47.111.32.714.24.55.61.353.217.135.48.1118.138.099.823.067.221.530.77.1
      North Macedonia0.46.00.11.20.34.20.10.61.925.30.910.62.534.82.528.41.215.20.67.3
      Malta0.13.90.13.10.27.50.01.50.315.60.27.10.734.40.624.00.210.40.14.0
      Montenegro0.415.60.27.50.27.20.12.80.522.80.25.51.362.50.621.30.312.00.27.8
      Portugal7.514.91.52.15.110.30.81.114.129.09.313.325.653.617.624.811.222.74.05.7
      Serbia6.016.11.43.02.66.50.71.57.019.93.78.121.159.612.427.05.414.44.29.1
      Slovenia1.312.40.32.00.77.20.21.52.021.61.29.54.247.93.224.32.222.60.97.4
      Spain18.98.67.22.615.87.23.41.232.415.320.67.296.446.068.323.538.818.016.75.9
      Western Europe96.19.934.62.9114.012.034.42.9110.411.867.25.4341.136.7281.522.4164.217.472.45.9
      Austria4.911.51.52.93.27.71.02.04.912.63.56.713.234.29.818.67.017.43.05.8
      Belgium5.19.62.03.16.813.02.43.75.010.02.84.118.036.015.522.87.514.53.55.3
      France32.510.510.92.832.410.710.32.632.710.917.44.2111.837.897.823.072.724.130.07.3
      Germany45.410.216.23.051.311.613.92.655.612.836.36.5151.235.0119.620.960.413.828.35.2
      Luxembourg0.14.20.01.20.29.80.12.20.313.30.27.00.731.90.619.00.415.60.25.5
      Netherlands4.45.42.83.015.919.95.55.97.910.24.64.836.147.329.731.39.612.14.85.1
      Switzerland3.79.01.32.74.110.51.22.53.910.12.44.910.126.78.617.36.617.22.55.4
      Country/regionGallbladderPancreasLarynxLungMelanomaBreastCervix uteri
      C23C25C32C33–34C43C50C53
      MFMFMFMFMFFF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe26.00.961.21.4667.021.2654.414.9176.25.419.90.52600.281.71241.629.0147.14.7116.62.71417.732.9259.96.3
      EU-2718.20.936.81.3447.321.6445.316.2102.24.813.50.51705.681.7867.333.294.64.670.32.6918.334.1134.45.3
      Central and Eastern Europe10.71.229.11.8218.120.9209.812.995.28.57.40.5967.791.2338.320.746.14.546.62.9514.931.7158.59.8
      Belarus0.20.50.91.76.720.75.09.63.69.90.20.331.396.64.48.31.44.71.63.013.225.03.66.8
      Bulgaria0.31.00.51.17.021.75.412.53.39.70.30.627.882.58.319.71.34.10.92.115.336.35.012.4
      Czechia0.92.11.93.111.324.910.717.92.24.40.30.532.870.618.731.32.45.51.93.116.728.14.06.8
      Hungary0.61.61.42.411.328.212.220.63.58.20.71.252.0125.037.263.51.84.61.52.622.037.64.88.6
      Republic of Moldova0.00.30.20.92.922.52.614.92.013.10.10.411.081.02.514.20.53.50.31.87.037.72.512.5
      Poland2.82.06.93.328.518.929.213.915.910.22.21.0174.6116.299.847.08.86.18.94.288.141.821.410.5
      Romania1.01.30.90.916.219.614.112.910.511.90.60.680.995.626.924.82.83.32.22.139.236.218.116.9
      Russia3.50.912.01.5101.421.2103.313.138.07.42.60.3435.289.1108.513.619.03.921.72.7231.329.075.59.4
      Slovakia0.52.91.45.14.722.94.315.81.67.00.10.317.289.07.426.61.89.61.45.111.943.82.810.1
      Ukraine0.90.73.11.228.318.022.89.014.68.60.50.2104.965.424.69.76.54.26.22.570.327.720.98.3
      Northern Europe2.90.67.91.487.918.887.015.112.22.62.50.4290.762.5253.544.728.16.119.33.4179.631.721.33.9
      Denmark0.10.50.20.65.620.95.617.90.82.90.20.620.376.519.060.61.86.91.65.311.236.01.44.6
      Estonia0.11.10.11.61.122.91.617.60.47.90.00.04.9100.81.820.50.24.50.33.02.731.30.67.9
      Finland0.31.00.61.56.725.07.019.90.41.50.00.114.955.59.026.51.86.90.71.98.626.20.72.1
      Iceland0.00.00.00.00.319.40.214.20.00.90.00.00.856.70.748.20.16.90.14.10.533.10.13.4
      Ireland0.10.90.31.63.623.02.613.70.74.40.10.511.975.210.454.61.05.80.94.47.538.11.15.1
      Latvia0.00.40.10.81.722.91.914.20.68.30.00.26.082.62.620.00.44.60.53.44.334.81.411.7
      Lithuania0.11.20.31.32.322.13.015.61.210.60.10.49.284.92.815.30.65.10.63.34.927.81.911.6
      Norway0.10.40.20.64.519.84.216.20.31.50.10.312.557.212.347.12.19.11.76.36.324.11.03.7
      Sweden0.40.81.01.89.920.710.518.40.51.10.10.218.237.920.336.43.37.02.34.214.727.02.03.7
      United Kingdom1.70.65.21.452.017.350.214.07.22.41.90.5191.164.0174.149.017.05.710.73.0118.433.111.23.2
      Southern Europe7.00.912.41.3144.119.2141.114.340.55.44.80.5616.982.3239.425.629.83.919.52.1286.129.737.14.1
      Albania0.00.40.00.41.715.20.97.40.86.60.11.38.173.41.513.10.11.10.10.72.620.60.75.6
      Bosnia and Herzegovina0.43.20.74.22.719.82.413.61.510.40.21.217.7120.94.726.20.53.50.42.55.732.61.58.6
      Croatia0.52.81.03.83.821.04.015.41.57.90.10.521.2112.58.634.21.47.71.03.88.332.81.56.1
      Cyprus0.00.70.11.30.922.10.713.50.24.90.00.03.480.01.121.40.25.20.11.92.039.70.36.4
      Greece0.30.50.40.511.320.99.614.13.56.30.30.559.2110.817.426.71.93.51.11.623.333.72.84.3
      Italy2.90.95.01.262.420.066.815.812.74.11.90.5227.973.4108.126.914.04.58.22.1126.330.910.12.7
      North Macedonia0.11.00.22.61.722.81.111.70.911.40.10.97.892.82.021.40.55.50.33.43.234.80.66.4
      Malta0.00.00.00.00.522.90.417.00.13.50.00.31.574.10.518.40.13.30.11.90.728.10.12.2
      Montenegro0.00.80.12.00.626.30.413.90.416.40.01.52.7107.21.134.50.28.30.14.01.549.30.517.9
      Portugal0.40.80.71.09.319.08.412.13.16.20.20.336.273.611.817.81.53.21.42.018.628.03.86.0
      Serbia0.71.91.32.88.422.67.315.73.910.30.51.148.9124.121.945.52.46.61.53.323.450.96.313.7
      Slovenia0.22.10.32.52.122.12.015.50.55.60.10.58.284.24.839.90.87.90.54.24.132.30.54.5
      Spain1.70.82.60.938.517.937.213.311.45.31.20.4173.580.855.821.36.12.84.81.766.123.88.13.1
      Western Europe5.50.611.81.0216.823.0216.517.728.23.05.20.5724.976.2410.435.943.04.631.22.6437.136.643.03.8
      Austria0.30.80.51.09.524.09.919.21.43.40.20.425.563.016.834.02.56.21.73.316.933.01.73.4
      Belgium0.20.30.50.79.718.910.616.01.63.00.30.544.486.223.938.12.24.12.03.123.636.12.43.8
      France0.90.31.90.467.822.570.117.19.03.01.70.4252.182.7118.831.512.14.09.22.3141.835.614.53.9
      Germany3.50.87.51.3105.224.2101.718.313.63.12.40.5316.672.1186.236.418.64.313.12.5205.838.120.84.2
      Luxembourg0.00.00.00.00.521.50.414.80.13.50.00.01.879.00.931.00.14.60.12.90.931.70.13.6
      Netherlands0.30.41.01.015.920.015.516.42.02.50.50.663.281.348.652.05.47.13.63.932.835.22.52.8
      Switzerland0.20.60.61.18.120.98.417.40.71.60.20.320.853.615.032.52.25.81.53.115.131.61.02.1
      European areas are reported in bold.
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of deaths; M = Males, F = Females.
      Appendix Table A2bEstimated number of deaths (hundreds) and ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of deaths; M = Males, F = Females; CNS = central nervous system; NHL = Non-Hodgkin lymphoma.
      (per 100,000) of cancer mortality by sex, cancer site and country in Europe for 2020.
      Country/regionCorpus uteriOvaryProstateTestisKidneyBladderBrain, CNS
      C54C56C61C62C64–65C67C70–72
      FFMMMFMFMF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe299.66.9440.510.31080.938.215.70.4346.011.1194.54.4508.217.5164.73.6293.78.8243.15.8
      EU-27167.76.2271.410.3699.536.39.30.4221.810.8122.34.4371.518.8120.44.2194.09.0153.16.0
      Central and Eastern Europe136.18.3175.710.8348.042.98.20.6127.412.575.04.6148.017.341.32.698.48.593.65.8
      Belarus4.58.45.39.910.244.50.20.44.514.02.14.03.413.30.71.32.45.72.85.2
      Bulgaria3.58.25.112.312.243.50.41.12.68.01.22.95.317.81.63.54.212.53.37.9
      Czechia4.06.66.310.614.738.70.30.67.416.74.26.96.716.72.54.13.87.83.05.1
      Hungary4.06.77.512.914.844.40.40.84.611.63.45.76.417.93.45.63.58.03.25.5
      Republic of Moldova1.47.31.57.73.737.90.10.41.28.70.63.11.918.50.42.61.38.21.25.9
      Poland22.010.631.315.070.758.81.50.819.913.911.45.338.630.611.65.419.412.115.67.5
      Romania5.24.711.210.424.434.90.60.66.78.13.93.614.018.73.73.48.910.17.77.1
      Russia68.98.680.410.0144.339.83.40.659.712.837.14.749.112.512.91.742.57.845.05.6
      Slovakia2.69.53.914.010.875.50.21.03.619.92.28.15.032.01.35.02.19.32.17.5
      Ukraine20.27.923.19.142.233.31.20.617.310.89.03.517.613.33.41.310.45.59.83.9
      Northern Europe41.67.365.311.6209.448.21.10.247.010.128.74.966.815.028.94.943.59.032.96.0
      Denmark2.26.93.711.713.958.40.10.22.69.91.23.84.015.91.96.02.810.22.37.4
      Estonia0.56.00.911.13.378.50.00.20.919.90.66.70.819.30.33.20.59.90.56.7
      Finland2.16.03.711.29.138.00.10.32.49.31.85.12.08.10.72.02.28.11.44.4
      Iceland0.13.50.211.20.649.80.00.00.19.60.16.10.212.20.02.60.19.40.18.9
      Ireland2.010.63.015.25.740.50.00.21.810.71.57.82.517.01.05.51.910.21.88.7
      Latvia1.511.71.814.44.165.60.00.21.318.71.07.52.133.70.64.20.79.60.86.3
      Lithuania1.68.42.614.65.660.20.10.51.817.21.26.12.021.00.62.81.210.81.47.9
      Norway1.97.13.011.710.655.30.10.31.87.91.24.42.613.21.03.92.28.91.35.1
      Sweden3.56.05.39.824.154.10.10.24.08.42.54.45.812.52.64.44.38.83.36.2
      United Kingdom26.17.341.011.6131.746.30.60.230.110.117.54.844.615.420.05.427.48.920.05.7
      Southern Europe56.45.880.28.6203.828.22.90.467.19.034.33.4140.019.239.33.868.48.954.56.0
      Albania0.43.80.53.63.436.30.10.70.98.50.32.61.414.80.44.31.29.90.64.6
      Bosnia and Herzegovina1.05.62.111.44.338.80.10.81.39.20.63.42.016.00.73.92.114.21.810.4
      Croatia2.07.53.112.58.151.90.10.72.514.11.66.03.723.01.86.62.211.31.97.6
      Cyprus0.59.50.713.71.855.50.00.10.49.00.11.90.924.60.23.20.59.70.36.0
      Greece4.87.16.810.218.432.40.20.44.68.32.43.312.823.12.73.55.710.55.17.8
      Italy21.55.332.98.469.022.61.00.327.38.715.53.655.718.015.43.425.48.120.35.3
      North Macedonia0.88.60.77.23.052.30.10.50.34.50.11.61.015.50.33.31.719.50.88.9
      Malta0.28.60.312.20.528.60.00.00.29.10.14.00.314.40.12.80.27.20.13.6
      Montenegro0.412.30.412.70.950.80.00.60.416.00.01.50.526.90.13.70.28.10.25.3
      Portugal3.65.34.16.319.241.60.20.43.77.91.52.18.818.73.34.45.410.94.06.2
      Serbia3.88.26.313.312.540.10.51.13.810.01.83.97.021.02.35.14.611.73.98.4
      Slovenia0.96.91.411.24.556.20.00.51.314.00.65.01.518.40.75.21.111.30.86.6
      Spain16.55.921.17.958.028.10.50.220.59.59.53.444.321.411.53.918.18.214.75.6
      Western Europe65.55.4119.410.1319.735.53.50.4104.611.256.64.6153.416.855.34.383.58.762.15.5
      Austria2.54.85.09.913.838.20.10.34.311.22.54.75.715.72.24.13.48.12.75.6
      Belgium3.85.76.39.716.735.30.10.24.69.12.84.28.417.43.24.63.97.03.14.9
      France27.06.539.49.990.631.11.30.432.410.817.24.160.420.616.73.828.09.120.75.5
      Germany24.44.553.310.1155.137.01.60.452.012.027.74.960.214.325.94.438.28.829.05.8
      Luxembourg0.25.40.413.50.631.40.00.00.15.70.13.00.417.40.14.30.26.80.14.8
      Netherlands5.45.710.711.429.842.90.20.38.410.74.75.013.017.95.15.36.37.54.14.5
      Switzerland2.34.74.59.613.036.70.10.32.77.11.73.55.214.42.14.23.58.72.35.0
      Country/regionThyroidHodgkin lymphomaNHLMultiple myelomaLeukaemiaAll sites
      C73C81C82–86, C96C88+C90C91–95C00–97/C44
      MFMFMFMFMFMF
      CasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASRCasesASR
      Europe23.60.840.40.922.80.716.70.4272.39.0224.65.1171.05.7153.93.5343.511.4279.26.410765.9347.88659.7199.5
      EU-2715.60.824.30.912.70.69.00.3193.09.5155.95.6124.86.2108.03.9241.912.0192.46.97060.7344.95556.5204.5
      Central and Eastern Europe8.00.817.31.19.50.87.70.567.06.559.73.736.53.741.82.697.29.889.75.63796.7378.23116.6192.1
      Belarus0.10.20.30.60.30.80.30.52.47.52.24.11.24.31.42.63.311.43.36.3125.7410.286.0163.8
      Bulgaria0.20.50.30.60.31.10.20.52.06.21.43.30.82.30.71.52.78.82.25.2110.9350.082.3194.1
      Czechia0.30.70.50.80.30.50.30.53.37.62.84.62.35.32.03.45.212.24.16.8149.9339.7123.1206.3
      Hungary0.40.90.61.00.20.50.20.33.17.83.35.61.43.61.52.44.511.74.16.9172.7437.3153.7261.6
      Republic of Moldova0.10.80.21.00.20.80.10.51.06.50.84.20.32.20.41.80.96.40.73.449.6387.333.3183.9
      Poland1.30.93.01.41.10.70.80.413.69.310.85.28.66.18.94.218.013.315.97.6647.5455.3535.6254.2
      Romania0.60.71.11.00.50.60.40.34.24.93.73.42.73.32.52.37.39.15.55.1315.9387.5223.9206.0
      Russia4.00.98.61.14.70.83.90.527.45.726.03.314.53.018.82.340.78.741.35.21662.3361.71443.0182.3
      Slovakia0.10.60.31.00.31.20.20.62.312.82.17.71.47.81.86.42.613.42.710.190.7495.871.3262.6
      Ukraine1.00.62.51.01.70.91.40.67.94.66.72.73.32.04.01.612.07.310.04.0471.6304.9364.5144.0
      Northern Europe2.80.65.00.93.10.62.10.446.010.037.16.331.66.924.54.248.210.536.36.21456.9317.51284.3223.9
      Denmark0.10.50.30.90.20.80.10.32.07.71.44.41.97.31.34.13.212.62.68.191.8355.981.0257.7
      Estonia0.00.80.11.50.00.70.00.20.612.30.55.30.47.90.44.40.715.90.67.221.4456.818.4209.5
      Finland0.31.10.30.90.20.80.20.42.710.52.26.11.86.91.64.62.28.61.75.071.5274.761.9180.3
      Iceland0.03.40.01.40.00.00.00.00.16.60.15.60.18.00.02.10.19.70.14.83.5270.92.9201.7
      Ireland0.10.80.31.40.21.00.10.61.911.71.68.31.38.50.94.81.710.51.36.654.3343.248.7253.5
      Latvia0.11.40.21.50.10.90.10.70.68.10.75.30.45.30.43.40.912.71.18.330.1433.727.6214.3
      Lithuania0.10.80.21.00.10.50.10.40.87.60.84.20.65.90.73.81.312.61.68.044.7430.236.5197.9
      Norway0.20.80.31.20.10.60.10.31.88.21.45.11.57.21.45.22.310.81.55.863.7297.655.6211.4
      Sweden0.30.70.50.80.20.40.10.24.49.53.35.73.37.12.23.84.69.83.76.4127.5272.0116.3206.5
      United Kingdom1.50.52.80.82.00.71.30.431.110.525.16.820.26.915.54.231.110.522.06.0944.3318.8832.0231.1
      Southern Europe4.90.67.60.85.60.74.20.461.88.351.05.142.35.737.73.880.911.063.56.42422.2325.61778.6182.5
      Albania0.10.80.10.70.10.70.10.60.21.80.10.70.21.60.10.60.97.00.65.026.3243.713.0108.5
      Bosnia and Herzegovina0.10.80.21.10.10.90.10.70.64.50.52.90.42.70.41.91.28.80.95.054.4397.537.0211.8
      Croatia0.20.80.31.00.10.50.10.31.68.71.76.31.16.11.03.92.514.82.18.281.3457.560.9236.7
      Cyprus0.00.70.11.00.00.60.00.00.512.60.36.70.38.00.36.10.819.70.510.514.4361.79.9200.0
      Greece0.30.60.50.70.61.10.50.73.56.42.63.73.05.42.94.17.513.75.67.9196.9361.3133.2191.8
      Italy2.10.73.20.72.40.81.80.529.09.322.85.419.66.318.14.235.111.328.26.7957.8308.2776.9186.3
      North Macedonia0.00.30.10.70.10.70.10.50.22.80.22.30.22.00.10.80.66.80.44.625.7339.216.3179.2
      Malta0.00.00.01.60.00.00.00.30.210.10.15.10.13.00.13.50.16.90.13.95.4275.74.2168.9
      Montenegro0.00.00.00.60.11.70.00.40.29.40.13.30.14.00.12.50.313.90.28.210.3458.77.3246.8
      Portugal0.40.80.50.70.30.60.20.35.210.94.46.43.88.02.63.85.411.34.36.3180.7374.2118.8173.9
      Serbia0.30.90.51.00.51.30.30.72.67.02.55.41.64.31.73.64.011.23.16.8156.5425.1121.7261.5
      Slovenia0.10.90.10.80.00.30.10.41.719.21.410.40.67.20.64.31.517.11.18.437.2407.628.3225.1
      Spain1.30.62.10.71.30.61.00.416.27.714.35.011.45.59.73.421.110.116.35.7673.5316.8449.9161.2
      Western Europe8.00.910.60.94.70.52.80.297.510.576.86.160.76.650.04.0117.112.789.77.13090.1330.32480.1205.7
      Austria0.51.30.61.20.10.30.20.34.110.63.05.72.25.71.93.64.511.73.56.8122.0311.9101.5198.0
      Belgium0.51.00.60.90.30.60.20.25.310.73.95.83.26.52.53.76.513.25.68.2165.9327.9133.6203.7
      France2.00.72.60.61.70.60.80.232.911.125.76.019.86.717.54.139.313.329.76.91044.4348.2802.0198.2
      Germany3.50.85.30.91.80.41.10.242.810.035.26.227.66.421.43.852.712.441.67.31378.7318.71130.7208.0
      Luxembourg0.00.50.00.30.00.00.00.00.16.00.26.00.16.60.14.00.312.70.25.66.6298.35.0178.4
      Netherlands0.81.10.91.00.40.60.40.48.711.55.96.25.16.84.44.69.813.26.56.9267.3350.9221.4235.7
      Switzerland0.61.40.51.00.20.60.10.23.69.62.85.72.66.82.24.54.010.62.65.3103.9273.385.1178.0
      European areas are reported in bold.
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of deaths; M = Males, F = Females; CNS = central nervous system; NHL = Non-Hodgkin lymphoma.
      Appendix Table A3Estimated numbers of new cancer cases (thousands), ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of deaths.
      (per 100,000) by sex, cancer site, and age group in Europe for 2020.
      CancerBoth sexesMalesFemales
      0–4445–6465+0–4445–6465+0–4445–6465+
      Cases%ASRCases%ASRCases%ASRCases%ASRCases%ASRCases%ASRCases%ASRCases%ASRCases%ASR
      Lip, oral cavity and pharynx75.02.71.8619.24.629.7592.12.541.454.05.52.7483.76.948.4395.63.066.221.01.21.0135.52.012.5196.51.823.1
      Oesophagus9.90.40.2196.21.49.3323.81.322.77.60.80.4162.12.316.2234.41.840.22.30.10.134.10.53.189.30.810.4
      Stomach39.81.41.0397.52.918.9923.03.864.519.92.01.0272.03.927.1545.34.194.619.91.11.0125.51.911.5377.83.543.8
      Colorectum118.24.22.91482.810.970.63597.215.0252.152.35.42.6852.812.385.11912.114.3333.666.03.73.3630.09.557.51685.115.8196.8
      Liver20.20.70.5260.91.912.4595.12.541.813.31.40.6200.52.920.0367.02.763.57.00.40.360.40.95.5228.22.126.5
      Gallbladder1.40.10.025.80.21.298.50.46.90.60.10.08.60.10.929.60.25.30.90.00.017.20.31.668.80.68.0
      Pancreas19.40.70.5360.12.717.11021.74.271.511.31.20.6218.63.121.8472.23.582.68.10.40.4141.52.112.8549.55.163.6
      Larynx10.00.40.2193.71.49.2194.90.813.68.20.80.4171.02.517.1170.31.328.51.80.10.122.70.32.124.60.22.9
      Lung57.02.01.41629.812.077.33088.512.8216.930.73.11.51093.115.7108.92026.715.2348.226.31.51.3536.78.148.81061.89.9126.6
      Melanoma of skin244.08.86.0543.34.026.2719.03.050.493.49.64.6272.43.927.3397.33.069.1150.68.37.5270.94.125.3321.73.038.0
      Breast628.134.830.72274.034.3211.62408.822.5287.0
      Cervix uteri198.411.09.8245.03.723.2138.31.316.5
      Corpus uteri47.32.62.3569.88.652.2683.46.482.3
      Ovary71.94.03.5259.03.924.0336.03.139.8
      Prostate5.00.50.21349.819.4134.03378.625.3576.8
      Testis180.318.58.858.80.86.011.50.11.9
      Kidney79.02.81.9534.43.925.6772.73.254.250.65.22.5356.35.135.7451.43.477.528.51.61.4178.12.716.3321.33.037.9
      Bladder25.10.90.6516.53.824.51498.26.2105.115.91.60.8402.15.840.11148.68.6202.59.20.50.5114.41.710.4349.63.340.6
      Brain, central nervous system126.24.53.1242.21.811.7302.71.321.273.87.63.6138.12.013.9150.01.125.752.52.92.6104.11.69.6152.71.418.0
      Thyroid270.39.76.7381.52.818.5219.80.915.450.45.22.588.21.38.954.90.49.2219.912.211.0293.34.427.6165.01.520.1
      Hodgkin lymphoma105.93.82.749.30.42.443.30.23.056.65.82.829.80.43.023.60.24.149.32.72.519.50.31.819.80.22.3
      Non-Hodgkin lymphoma119.84.33.0386.02.818.5724.03.050.872.77.43.6225.43.222.6375.72.865.747.12.62.3160.62.414.8348.33.340.9
      Multiple myeloma10.20.40.3142.41.06.8356.51.525.06.20.60.381.71.28.2190.41.433.54.00.20.260.70.95.5166.11.619.6
      Leukaemia132.44.83.3259.91.912.4607.92.542.673.27.53.6153.42.215.3331.42.558.559.33.33.0106.51.69.8276.52.632.1
      All sites excl. non-melanoma skin2784.068.513585.3649.224053.31687.0976.747.86961.1694.613364.12309.91807.389.36624.3611.710689.31260.3
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of deaths.
      Appendix Table A4Estimated numbers of deaths from cancer (thousands), ASRs
      ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases.
      (per 100,000) by sex, cancer site, and age group in Europe for 2020.
      CancerBothMalesFemales
      0–4445–6465+0–4445–6465+0–4445–6465+
      Deaths%ASRDeaths%ASRDeaths%ASRDeaths%ASRDeaths%ASRDeaths%ASRDeaths%ASRDeaths%ASRDeaths%ASR
      Lip, oral cavity and pharynx18.63.80.5241.65.011.6278.62.019.414.86.80.7204.07.220.4195.42.533.13.81.40.237.61.93.483.21.39.6
      Oesophagus5.61.20.1151.73.27.2297.82.120.94.42.00.2128.94.612.9215.82.837.41.10.40.122.81.22.182.01.39.5
      Stomach24.95.10.6248.35.211.8696.84.948.612.45.70.6172.96.117.2409.35.371.712.54.60.675.43.86.9287.54.533.0
      Colorectum29.46.00.7463.39.722.01955.513.8136.614.06.40.7277.99.827.71027.013.3183.515.55.70.8185.59.416.9928.514.5106.0
      Liver10.92.20.3201.04.29.6572.24.040.17.23.30.4151.45.415.1354.94.662.33.71.40.249.72.54.5217.33.425.0
      Gallbladder0.50.10.016.30.30.870.30.54.90.20.10.05.30.20.520.50.33.70.30.10.011.10.61.049.80.85.8
      Pancreas13.32.70.3322.06.715.3986.07.069.08.64.00.4199.87.119.9458.55.980.44.71.70.2122.26.211.0527.58.261.0
      Larynx30.60.179.31.73.8113.70.87.92.61.20.172.22.67.2101.31.317.30.50.20.07.10.40.612.30.21.4
      Lung31.36.40.81176.424.555.72634.118.6184.718.38.40.9823.129.281.91758.922.8305.013.04.80.6353.317.932.0875.313.7103.5
      Melanoma of skin18.53.80.570.71.53.4174.41.212.210.04.60.541.41.54.195.71.217.08.53.20.429.31.52.778.71.29.0
      Breast67.625.13.3381.819.335.2968.315.1111.6
      Cervix uteri41.015.22.0107.35.410.0111.61.713.1
      Corpus uteri3.31.20.269.63.56.3226.83.526.5
      Ovary15.35.70.8136.56.912.5288.64.533.9
      Prostate0.70.30.089.43.28.9990.812.8184.0
      Testis8.33.80.43.80.10.43.50.00.6
      Kidney8.21.70.2130.62.76.2401.82.828.15.52.50.396.43.49.6244.13.243.22.71.00.134.21.73.1157.72.518.1
      Bladder2.20.50.180.31.73.8590.44.241.21.20.60.163.42.26.3443.55.781.11.00.40.016.90.91.5146.82.316.5
      Brain, central nervous system59.412.21.5196.34.19.4281.12.019.736.416.81.8116.04.111.6141.31.824.323.08.51.180.34.17.4139.82.216.5
      Thyroid1.20.20.013.50.30.649.30.33.40.60.30.06.70.20.716.40.22.90.60.20.06.80.30.633.00.53.8
      Hodgkin lymphoma8.31.70.210.20.20.521.00.11.55.12.30.26.70.20.711.00.11.93.21.20.23.60.20.310.00.21.2
      Non-Hodgkin lymphoma18.93.90.587.81.84.2390.22.827.311.95.50.655.72.05.6204.72.636.87.02.60.332.01.62.9185.62.921.2
      Multiple myeloma1.80.40.056.11.22.7267.11.918.71.10.50.131.51.13.1138.41.824.90.70.30.024.61.22.2128.72.014.9
      Leukaemia357.20.9102.32.14.9485.33.433.920.09.21.059.72.16.0263.83.447.515.15.60.842.62.23.9221.53.525.3
      All sites excl. non-melanoma skin486.912.04800.2228.314138.4988.3217.310.62822.2281.47726.31371.5269.613.31977.9180.66412.2740.8
      a ASR = Age-standardised rates using European standard population 2013, based on estimated number of new cases.

      References

      1. Eurostat. Causes of Death statistics (hlth_cd_asdr2). Available at: https://ec.europa.eu/eurostat/web/main/data/database. [Last accessed 1 April 2021].

        • Ferlay J.
        • Colombet M.
        • Soerjomataram I.
        • Mathers C.
        • Parkin D.M.
        • Piñeros M.
        • et al.
        Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.
        Int J Canc. 2019; 144 (Epub 2018 Dec 6. PMID: 30350310): 1941-1953https://doi.org/10.1002/ijc.31937
      2. United Nations, Population division. World Population Prospects, the 2017 revision. https://esa.un.org/unpd/wpp/. [Accessed March 2021].

        • Hofmarcher T.
        • Lindgren P.
        • Wilking N.
        • Jönsson B.
        The cost of cancer in Europe 2018.
        Eur J Canc. 2020; 129 (Epub 2020 Feb 28. PMID: 32120274): 41-49https://doi.org/10.1016/j.ejca.2020.01.011
        • Jensen O.M.
        • Estève J.
        • Møller H.
        • Renard H.
        Cancer in the European Community and its member states.
        Eur J Canc. 1990; 26 (Erratum in: Eur J Cancer 1991;27(12):1717. PMID: 2150000): 1167-1256https://doi.org/10.1016/0277-5379(90)90278-2
        • Black R.J.
        • Bray F.
        • Ferlay J.
        • Parkin D.M.
        Cancer incidence and mortality in the European Union: cancer registry data and estimates of national incidence for 1990.
        Eur J Canc. 1997; 33 (Erratum in: Eur J Cancer 1997 Dec;33(14):2440. PMID: 9376190): 1075-1107https://doi.org/10.1016/s0959-8049(96)00492-3
        • Bray F.
        • Sankila R.
        • Ferlay J.
        • Parkin D.M.
        Estimates of cancer incidence and mortality in Europe in 1995.
        Eur J Canc. 2002; 38 (PMID: 11750846): 99-166https://doi.org/10.1016/s0959-8049(01)00350-1
        • Boyle P.
        • Ferlay J.
        Cancer incidence and mortality in Europe, 2004.
        Ann Oncol. 2005; 16 (Epub 2005 Feb 17. PMID: 15718248): 481-488https://doi.org/10.1093/annonc/mdi098
        • Ferlay J.
        • Autier P.
        • Boniol M.
        • Heanue M.
        • Colombet M.
        • Boyle P.
        Estimates of the cancer incidence and mortality in Europe in 2006.
        Ann Oncol. 2007; 18 (Epub 2007 Feb 7. PMID: 17287242): 581-592https://doi.org/10.1093/annonc/mdl498
        • Ferlay J.
        • Parkin D.M.
        • Steliarova-Foucher E.
        Estimates of cancer incidence and mortality in Europe in 2008.
        Eur J Canc. 2010; 46 (Epub 2010 Jan 29. PMID: 20116997): 765-781https://doi.org/10.1016/j.ejca.2009.12.014
        • Ferlay J.
        • Steliarova-Foucher E.
        • Lortet-Tieulent J.
        • Rosso S.
        • Coebergh J.W.
        • Comber H.
        • et al.
        Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012.
        Eur J Canc. 2013; 49 (Epub 2013 Feb 26. PMID: 23485231): 1374-1403https://doi.org/10.1016/j.ejca.2012.12.027
        • Ferlay J.
        • Colombet M.
        • Soerjomataram I.
        • Dyba T.
        • Randi G.
        • Bettio M.
        • et al.
        Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018.
        Eur J Canc. 2018; 103 (Epub 2018 Aug 9. PMID: 30100160): 356-387https://doi.org/10.1016/j.ejca.2018.07.005
        • Bettio M.
        • Negrao Carvalho R.
        • Dimitrova N.
        • Dyba T.
        • Flego M.
        • Giusti F.
        • et al.
        Measuring the cancer burden in Europe: the European cancer information system (ECIS).
        EMJ Oncol. 2019; 7 (Abstract Review No: AR05): 48-49
      3. Cancer incidence in five continents. vol. XI. International Agency for Research on Cancer, Lyon2017 (electronic version)
        http://ci5.iarc.fr
        Date accessed: April , 2021
      4. World Health Organization (WHO) Mortality Database. Health statistics and information systems. Geneva, Switzerland. http://www.who.int/healthinfo/statistics/mortality_rawdata/en/. [Accessed April 2021].

      5. Eurostat. Population (t_demo_pop). Available at: https://ec.europa.eu/eurostat/web/main/data/database. [Last accessed 1 April 2021].

      6. Danckert B, Ferlay J, Engholm G , Hansen HL, Johannesen TB, Khan S, et al. NORDCAN: Cancer Incidence, Mortality, Prevalence and Survival in the Nordic Countries, Version 8.2 (26.03.2019). Association of the Nordic Cancer Registries. Danish Cancer Society. Available from: http://www.ancr.nu. [Accessed 12 December 2019].

      7. Nouveaux cas de cancer 2013. Registre morphologique des tumeurs. Laboratoire national de santé. Grand-Duché de Luxembourg, 2015 (Available as)
      8. Malignant neoplasms in Russiain 2018. Russian Federation, Moscow Research Oncological Institute. http://www.oncology.ru. [Accessed November 2019].

      9. Malignant neoplasms in Montenegro 2013. Insitute of Public Health of Montenegro, Center for Control and Prevention of Non-communicable Diseases, Registry of Malignant Neoplasms of Montenegro, Podgorica2018
        • World Health Organization
        (Tenth Revision)International statistical classification of diseases and related health problems. vol. 2. WHO, Geneva, Switzerland2013
        • Loos A.H.
        • Bray F.
        • McCarron P.
        • Weiderpass E.
        • Hakama M.
        • Parkin D.M.
        Sheep and goats: separating cervix and corpus uteri from imprecisely coded uterine cancer deaths, for studies of geographical and temporal variations in mortality.
        Eur J Canc. 2004; 40 (PMID: 15571963): 2794-2803https://doi.org/10.1016/j.ejca.2004.09.007
        • De Angelis R.
        • Sant M.
        • Coleman M.P.
        • Francisci S.
        • Baili P.
        • Pierannunzio D.
        • et al.
        Cancer survival in Europe 1999-2007 by country and age: results of EUROCARE--5-a population-based study.
        Lancet Oncol. 2014; 15 (Epub 2013 Dec 5. PMID: 24314615): 23-34https://doi.org/10.1016/S1470-2045(13)70546-1
      10. Cancer in Ukraine 2013-2014, 2014-2015 and 2015-2016. National Cancer Registry of Ukraine, National Institute of Cancer. Kyiv, Ukraine. http://www.unci.org.ua/. [Accessed August 2017].

        • Hakulinen T.
        • Dyba T.
        Precision of incidence predictions based on Poisson distributed observations.
        Stat Med. 1994; 13: 1513-1523https://doi.org/10.1002/sim.4780131503.PMID:7973230
        • Harrell Jr., Frank E.
        Regression modelling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis.
        978-3-319-19425-7 Springer, 2015
        • Dyba T.
        • Hakulinen T.
        Comparison of different approaches to incidence prediction based on simple interpolation techniques.
        Stat Med. 2000; 19 (PMID: 10861775): 1741-1752https://doi.org/10.1002/1097-0258(20000715)19:13<1741::aid-sim496>3.0.co;2-o
        • Dyba T.
        • Hakulinen T.
        Do cancer predictions work?.
        Eur J Canc. 2008; 44 (Epub 2007 Dec 20. PMID: 18083022): 448-453https://doi.org/10.1016/j.ejca.2007.11.014
        • Antoni S.
        • Soerjomataram I.
        • Møller B.
        • Bray F.
        • Ferlay J.
        An assessment of GLOBOCAN methods for deriving national estimates of cancer incidence.
        Bull World Health Organ. 2016; 94 (Epub 2016 Jan 28. PMID: 26966328; PMCID: PMC4773935): 174-184https://doi.org/10.2471/BLT.15.164384
      11. https://encr.eu/tools-for-registries.

        • Eurostat
        Revision of the European standard population: report of the Eurostat's task force.
        European Union, Luxembourg2013
        • Crocetti E.
        • Dyba T.
        • Martos C.
        • Randi G.
        • Rooney R.
        • Bettio M.
        The need for a rapid and comprehensive adoption of the revised European standard population in cancer incidence comparisons.
        Eur J Canc Prev. 2017; 26 (PMID: 26919133; PMCID: PMC5553232): 447-452https://doi.org/10.1097/CEJ.0000000000000250
        • Welch H.G.
        • Brawley O.W.
        Scrutiny-dependent cancer and self-fulfilling risk factors.
        Ann Intern Med. 2018; 168 (Epub 2018 Jan 2. PMID: 29297002): 143-144https://doi.org/10.7326/M17-2792
        • Dal Maso L.
        • Panato C.
        • Franceschi S.
        • Serraino D.
        • Buzzoni C.
        • Busco S.
        • et al.
        The impact of overdiagnosis on thyroid cancer epidemic in Italy,1998-2012.
        Eur J Canc. 2018; 94 (Epub 2018 Mar 20. PMID: 29502036): 6-15https://doi.org/10.1016/j.ejca.2018.01.083
        • Carioli G.
        • Bertuccio P.
        • Boffetta P.
        • Levi F.
        • La Vecchia C.
        • Negri E.
        • et al.
        European cancer mortality predictions for the year 2020 with a focus on prostate cancer.
        Ann Oncol. 2020; 31 (Epub 2020 Apr 19. PMID: 32321669): 650-658https://doi.org/10.1016/j.annonc.2020.02.009
        • Brown K.F.
        • Rumgay H.
        • Dunlop C.
        • Ryan M.
        • Quartly F.
        • Cox A.
        • et al.
        The fraction of cancer attributable to modifiable risk factors in England, Wales, Scotland, Northern Ireland, and the United Kingdom in 2015.
        Br J Canc. 2018; 118 (Epub 2018 Mar 23. PMID: 29567982; PMCID: PMC5931106): 1130-1141https://doi.org/10.1038/s41416-018-0029-6
      12. https://www.europeancancerleagues.org/cancer-prevention-the-european-code-against-cancer. [Last accessed: 1 March 2021].

        • Bray F.I.
        • Weiderpass E.
        Lung cancer mortality trends in 36 European countries: secular trends and birth cohort patterns by sex and region 1970–2007.
        Int J Canc. 2010; 126: 1454-1466https://doi.org/10.1002/ijc.24855.PMID:19728330
        • Soerjomataram I.
        • de Vries E.
        • Pukkala E.
        • Coebergh J.W.
        Excess of cancers in Europe: a study of eleven major cancers amenable to lifestyle change.
        Int J Canc. 2007; 120: 1336-1343https://doi.org/10.1002/ijc.22459.PMID:17192897
        • Lortet-Tieulent J.
        • Renteria E.
        • Sharp L.
        • Weiderpass E.
        • Comber H.
        • Baas P.
        • et al.
        Convergence of decreasing male and increasing female incidence rates in major tobacco-related cancers in Europe in 1988-2010.
        Eur J Canc. 2015; 51 (Epub 2013 Nov 20. PMID: 24269041): 1144-1163https://doi.org/10.1016/j.ejca.2013.10.014
        • World Health Organization
        WHO Framework Convention on tobacco control.
        World Health Organization, Geneva2003
        • European Parliament and the Council of the European Union
        Directive 2014/40/EU.
        Off J Eur Union, 2014 (Available at:)
        • WHO
        FACTSHEET Sustainable Development Goals: health targets/Tobacco control.
        2019
        • WCRF/AICR
        Food, nutrition, physical activity, and the prevention of cancer: a global perspective.
        World Cancer Research Fund/American Institute for Cancer Research, Washington DC2007
        • Ahsan H.
        • Neugut A.I.
        • Garbowski G.C.
        • Jacobson J.S.
        • Forde K.A.
        • Treat M.R.
        • et al.
        Family history of colorectal adenomatous polyps and increased risk for colorectal cancer.
        Ann Intern Med. 1998; 128 (PMID: 9634428): 900-905https://doi.org/10.7326/0003-4819-128-11-199806010-00006
        • Lauby-Secretan B.
        • Vilahur N.
        • Bianchini F.
        • Guha N.
        • Straif K.
        International agency for research on cancer Handbook working group. The IARC perspective on colorectal cancer screening.
        N Engl J Med. 2018; 378 (PMID: 29580179; PMCID: PMC6709879): 1734-1740https://doi.org/10.1056/NEJMsr1714643.Epub.2018.Mar.26
        • Brinton L.
        • Gaudet M.
        • Gierach G.
        Breast cancer.
        in: Thun M. Linet M. Cerhan J. Haiman C. Schottenfeld C. Cancer epidemiology and prevention. 4th ed. Oxford University Press, 2017https://doi.org/10.1093/oso/9780190238667.003.0045
        • Carioli G.
        • Malvezzi M.
        • Rodriguez T.
        • Bertuccio P.
        • Negri E.
        • La Vecchia C.
        Trends and predictions to 2020 in breast cancer mortality in Europe.
        Breast. 2017; 36 (Epub 2017 Oct 4. PMID: 28988610): 89-95https://doi.org/10.1016/j.breast.2017.06.003
        • Kvåle R.
        • Myklebust T.Å.
        • Engholm G.
        • Heinävaara S.
        • Wist E.
        • Møller B.
        Prostate and breast cancer in four Nordic countries: a comparison of incidence and mortality trends across countries and age groups 1975-2013.
        Int J Canc. 2017; 141 (Epub 2017 Aug 26. PMID: 28795403): 2228-2242https://doi.org/10.1002/ijc.30924
        • Arnold M.
        • Karim-Kos H.E.
        • Coebergh J.W.
        • Byrnes G.
        • Antilla A.
        • Ferlay J.
        • et al.
        Recent trends in incidence of five common cancers in 26 European countries since 1988: analysis of the European Cancer Observatory.
        Eur J Canc. 2015; 51 (Epub 2013 Oct 8. PMID: 24120180): 1164-1187https://doi.org/10.1016/j.ejca.2013.09.002
        • Bray F.
        • Lortet-Tieulent J.
        • Ferlay J.
        • Forman D.
        • Auvinen A.
        Prostate cancer incidence and mortality trends in 37 European countries: an overview.
        Eur J Canc. 2010; 46 (PMID: 21047585): 3040-3052https://doi.org/10.1016/j.ejca.2010.09.013
        • Culp M.B.
        • Soerjomataram I.
        • Efstathiou J.A.
        • Bray F.
        • Jemal A.
        Recent global patterns in prostate cancer incidence and mortality rates.
        Eur Urol. 2020; 77 (Epub 2019 Sep 5. PMID: 31493960): 38-52https://doi.org/10.1016/j.eururo.2019.08.005
        • Carioli G.
        • Malvezzi M.
        • Bertuccio P.
        • Boffetta P.
        • Levi F.
        • La Vecchia C.
        • et al.
        European cancer mortality predictions for the year 2021 with focus on pancreatic and female lung cancer.
        Ann Oncol. 2021; 32 (Epub 2021 Feb 21. PMID: 33626377): 478-487https://doi.org/10.1016/j.annonc.2021.01.006
        • GBD 2017 Pancreatic Cancer Collaborators
        The global, regional, and national burden of pancreatic cancer and its attributable risk factors in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.
        Lancet Gastroenterol Hepatol. 2019; 4 (Epub 2019 Oct 21. Erratum in: Lancet Gastroenterol Hepatol. 2020 Mar;5(3):e2. PMID: 31648972; PMCID: PMC7026711): 934-947https://doi.org/10.1016/S2468-1253(19)30347-4
        • Dinmohamed A.G.
        • Visser O.
        • Verhoeven R.H.A.
        • Louwman M.W.J.
        • van Nederveen F.H.
        • Willems S.M.
        • et al.
        Fewer cancer diagnoses during the COVID-19 epidemic in The Netherlands.
        Lancet Oncol. 2020; 21 (Epub 2020 Apr 30. Erratum in: Lancet Oncol. 2020 May 4;: PMID: 32359403; PMCID: PMC7252180): 750-751https://doi.org/10.1016/S1470-2045(20)30265-5
        • Zadnik V.
        • Mihor A.
        • Tomsic S.
        • Zagar T.
        • Bric N.
        • Lokar K.
        • et al.
        Impact of COVID-19 on cancer diagnosis and management in Slovenia - preliminary results.
        Radiol Oncol. 2020; 54 (PMID: 32726291; PMCID: PMC7409606): 329-334https://doi.org/10.2478/raon-2020-0048
        • Skovlund C.W.
        • Friis S.
        • Dehlendorff C.
        • Nilbert M.C.
        • Mørch L.S.
        Hidden morbidities: drop in cancer diagnoses during the COVID-19 pandemic in Denmark.
        Acta Oncol. 2021; 60 (PMID: 33287604): 20-23https://doi.org/10.1080/0284186X.2020.1858235.Epub.2020.Dec.7
        • Turkington R.C.
        • Lavery A.
        • Donnelly D.
        • Cairnduff V.
        • McManus D.T.
        • Coleman H.G.
        The impact of the COVID-19 pandemic on Barrett's esophagus and esophagogastric cancer.
        Gastroenterology. 2021; 160 (Epub 2021 Jan 26. PMID: 33513406; PMCID: PMC7837162): 2169-2171.e1https://doi.org/10.1053/j.gastro.2021.01.208
      13. Neamtiu L, Martos C, Giusti F, Negrão Carvalho R, Randi G, Dimitrova N, Flego M, Dyba T, Nicholson N, Bettio M and the ENCR Steering Committee, Impact of the first wave of the COVID-19 pandemic on cancer registration and cancer care: a European survey ([submitted] for publication).

        • Coebergh J.W.
        • van den Hurk C.
        • Rosso S.
        • Comber H.
        • Storm H.
        • Zanetti R.
        • et al.
        EUROCOURSE lessons learned from and for population-based cancer registries in Europe and their programme owners: improving performance by research programming for public health and clinical evaluation.
        Eur J Canc. 2015; 51 (Epub 2015 May 5. PMID: 25956208): 997-1017https://doi.org/10.1016/j.ejca.2015.02.018