Surrogate end points for overall survival: A meta-analysis exploring adequacy of progression-free survival and objective response in randomized NSCLC trials.

e20702 Background: Surrogate endpoints such as progression-free survival (PFS) and objective response rate (ORR) are widely used in advanced non–small cell lung cancer (NSCLC) trials, yet their ability to reliably predict overall survival (OS) remains uncertain, particularly in the post-2015 era of immune checkpoint inhibitors and targeted therapies. We evaluated trial-level surrogacy of PFS and ORR for OS across randomized clinical trials using random-effects weighted meta-regression, with prespecified analyses by trial era. Methods: We conducted a systematic, trial-level meta-analysis of randomized studies in advanced or metastatic NSCLC reporting OS hazard ratios (HRs) and at least one surrogate endpoint (PFS HRs and/or ORR). The protocol was prospectively registered in PROSPERO (CRD420251266621). PubMed/MEDLINE, Embase, Scopus, CINAHL, and Web of Science were searched from inception through the final search date. Two reviewers independently screened records and full texts, resolving discrepancies by consensus or third-party adjudication. Treatment effects were analyzed on the log scale (log[HR] for OS and PFS; log[RR] for ORR), with standard errors derived from 95% confidence intervals when required. Trial-level surrogacy was assessed using random-effects weighted least-squares meta-regression, modeling log(HR_OS) as a function of log(HR_PFS) and separately log(RR_ORR). Era-stratified analyses (pre-2015, 2015, post-2015) and interaction testing were prespecified. Surrogacy strength was quantified using a weighted R² analogue. Small-study effects were evaluated using Egger’s regression. Analyses were performed using Python (version 3.14.2). Results: A total of 190 trials were included; 150 contributed to the PFS–OS analysis and 98 to the ORR–OS analysis. Overall, PFS showed a statistically significant but modest association with OS (β = 0.331; 95% CI, 0.230–0.433; p < 0.001), explaining limited between-trial variability (R² = 0.216). In post-2015 trials (k = 124), the association remained significant (β = 0.332; p < 0.001) but explained little OS variability (R² = 0.193), with no significant interaction by era. ORR demonstrated a weak and inconsistent association with OS (overall β = −0.256; p = 0.029), with non-significant associations in pre-2015 trials. Egger regression showed no evidence of small-study effects. Conclusions: Across randomized trials in advanced NSCLC, PFS and objective response demonstrate limited trial-level surrogacy for overall survival. Surrogacy strength did not meaningfully improve in the post-2015 era despite widespread adoption of immune checkpoint inhibitors and targeted therapies. These findings support cautious reliance on PFS or ORR as substitutes for OS in contemporary NSCLC trials and underscore the need for OS validation or context-specific endpoint selection.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-28
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.e20702
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surrogate end points for overall survival: A meta-analysis exploring adequacy of progression-free survival and objective response in randomized NSCLC trials.

Jaclyn Morales, Noemy Coreas, Vaidehi Panchal, Asha Ricciuti et al.
Journal of Clinical Oncology
Advanced Causal Inference Techniques
article

Surrogate end points for overall survival: A meta-analysis exploring adequacy of progression-free survival and objective response in randomized NSCLC trials.

Jaclyn Morales, Noemy Coreas, Vaidehi Panchal, Asha Ricciuti, Wint Yan Aung, Theodore Thomas, NEHEMIAS GUEVARA, Ananta Sriram, Syeda Ashna Fatima Kamal, Hector J. Garcia Pleitez
article en

Abstract

e20702 Background: Surrogate endpoints such as progression-free survival (PFS) and objective response rate (ORR) are widely used in advanced non–small cell lung cancer (NSCLC) trials, yet their ability to reliably predict overall survival (OS) remains uncertain, particularly in the post-2015 era of immune checkpoint inhibitors and targeted therapies. We evaluated trial-level surrogacy of PFS and ORR for OS across randomized clinical trials using random-effects weighted meta-regression, with prespecified analyses by trial era. Methods: We conducted a systematic, trial-level meta-analysis of randomized studies in advanced or metastatic NSCLC reporting OS hazard ratios (HRs) and at least one surrogate endpoint (PFS HRs and/or ORR). The protocol was prospectively registered in PROSPERO (CRD420251266621). PubMed/MEDLINE, Embase, Scopus, CINAHL, and Web of Science were searched from inception through the final search date. Two reviewers independently screened records and full texts, resolving discrepancies by consensus or third-party adjudication. Treatment effects were analyzed on the log scale (log[HR] for OS and PFS; log[RR] for ORR), with standard errors derived from 95% confidence intervals when required. Trial-level surrogacy was assessed using random-effects weighted least-squares meta-regression, modeling log(HR_OS) as a function of log(HR_PFS) and separately log(RR_ORR). Era-stratified analyses (pre-2015, 2015, post-2015) and interaction testing were prespecified. Surrogacy strength was quantified using a weighted R² analogue. Small-study effects were evaluated using Egger’s regression. Analyses were performed using Python (version 3.14.2). Results: A total of 190 trials were included; 150 contributed to the PFS–OS analysis and 98 to the ORR–OS analysis. Overall, PFS showed a statistically significant but modest association with OS (β = 0.331; 95% CI, 0.230–0.433; p < 0.001), explaining limited between-trial variability (R² = 0.216). In post-2015 trials (k = 124), the association remained significant (β = 0.332; p < 0.001) but explained little OS variability (R² = 0.193), with no significant interaction by era. ORR demonstrated a weak and inconsistent association with OS (overall β = −0.256; p = 0.029), with non-significant associations in pre-2015 trials. Egger regression showed no evidence of small-study effects. Conclusions: Across randomized trials in advanced NSCLC, PFS and objective response demonstrate limited trial-level surrogacy for overall survival. Surrogacy strength did not meaningfully improve in the post-2015 era despite widespread adoption of immune checkpoint inhibitors and targeted therapies. These findings support cautious reliance on PFS or ORR as substitutes for OS in contemporary NSCLC trials and underscore the need for OS validation or context-specific endpoint selection.

Journal of Clinical OncologyVol. 44(16_suppl)
Texas Tech University (US), Northwell Health (US), North Shore University Hospital (US), John Cochran VA Medical Center (US), Saint Louis University (PH), Saint Louis University (US), University of El Salvador (SV), Texas Tech University Health Sciences Center (US)
Good health and well-being
Openalex Percentile: Top 4%
Advanced Causal Inference Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.