Highlights
- •The regression of PFS and OS demonstrated good associations.
- •Different type of disease and mechanism of action of immune checkpoints inhibitors showed a very weak association.
- •Strong association of the RR with the PFS for CTL-4 checkpoints inhibitors.
Abstract
Introduction
To assess the role of the tumour response rate (RR) after immune checkpoint inhibitors–based
therapy as a potential surrogate end-point of progression-free survival (PFS) and
overall survival (OS) in patients with solid tumours, we performed a trial-based meta-regression
of randomised studies comparing different immune checkpoint inhibitors–based treatments.
Methods
The systematic literature search included the electronic databases and the proceedings
of oncologic meetings. Treatment effects on PFS and OS were expressed as hazard ratios
(HRs); treatment effects on RR were expressed as odds ratios (ORs). A weighted regression
analysis was performed on log-transformed treatment effect estimates to test the association
between treatment effects on the surrogate outcome and treatment effects on the clinical
outcome.
Results
Twenty-four trials, for a total of 11,894 patients, were included in the analysis.
Using the complete set of data, the regression of either the log(HR) for PFS or the
log(HR) for OS on the log(OR) for RR demonstrated weak associations (R2 = 0.47; 95% confidence interval [CI], 0.03–0.77; P = 0.001; and R2 = 0.32; 95% CI, 0.02–0.76; P = 0.01, respectively). The pre-planned analyses stratifying
trials according to different type of disease and different mechanism of action of
immune checkpoint inhibitors showed a very weak association of the RR with the OS
for non–small cell lung cancer indicated and a modest association of the RR with the
PFS for cytotoxic T lymphocyte–associated antigen 4 checkpoint inhibitors.
Conclusion
The results of the trial-based meta-regression analysis indicated a weak correlation
between RR and OS, supporting future investigations to assess the surrogacy of RR
in the patient treated with immune checkpoint inhibitors.
Keywords
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Article info
Publication history
Published online: October 19, 2017
Accepted:
September 8,
2017
Received:
August 1,
2017
Identification
Copyright
© 2017 Elsevier Ltd. All rights reserved.