Abstract
Cancer survival may be inversely related to the speed at which a primary tumour grows
and disseminates. Assessment of prognosis using surgical and/or radiological definition
of disease extent, i.e. staging, has thus become a standard intervention in newly
diagnosed patients, with the most popular framework being the tumour-node-metastasis
(TNM) system. However, increasing use of biomarkers – non-TNM factors that predict
therapeutic benefit, rather than adverse disease outcome – has weakened the decision-making
dominance of TNM. This shift from risk-led to benefit-led practice is now starting
to blur the time-honoured qualitative distinction between curable (M0, early stage, adjuvant) and incurable (M1, early metastatic, palliative) disease treatment strategies; the same biologic drug
strategy may improve average survival outcomes by similar increments for two patients,
one of whom is ‘adjuvant’ and the other ‘metastatic’. Plausibly, then, biomarker-positive
patients presenting with high-TNM (M1) disease may enjoy the same, if not more, disease-free and/or overall survival benefit
as conventional low-TNM (M0) patients when treated with standard adjuvant interventions. Conversely, M0 patients concerned by quality-of-life issues such as alopecia may in future be able
to choose better-tolerated personalised drug regimens similar to those now used with
survival benefit in palliative settings, even if such adjuvant regimens have not yet
been validated by level 1 data. To these ends, a modernised decision-oriented disease
staging system called METS (molecular/extra-primary/tumour/symptoms) is presented
here.
Keywords
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Article info
Publication history
Published online: March 31, 2009
Accepted:
February 23,
2009
Received in revised form:
January 26,
2009
Received:
January 13,
2009
Identification
Copyright
© 2009 Elsevier Ltd. Published by Elsevier Inc. All rights reserved.