Evidence map›Paper›PMID 42893050›Full record

ArticleJTO clinical and research reports2026

Brief Report: Reassessment of bTMB as a Predictive Biomarker in NSCLC Immunotherapy-A Reanalysis of OAK and POPLAR.

Jiaqian Liu, Na Bo, Patrick Nana-Sinkam, Ying Ding

2 registry-linked trialsAbstract read
In one paragraph

Article in JTO clinical and research reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01903993 phase2completednot on this map

A Phase II, Open-label, Multicenter, Randomized Study to Investigate the Efficacy and Safety of MPDL3280A (Anti-PD-L1 Antibody) Compared With Docetaxel in Patients With Non-Small Cell Lung Cancer After Platinum Failure

TypeinterventionalSponsorHoffmann-La RocheRan2013 to 2018Enrolled287ConditionsNon-Small Cell Lung CancerArmsDocetaxel, Atezolizumab
NCT02008227 phase3completednot on this map

A Phase III, Open-Label, Multicenter, Randomized Study to Investigate the Efficacy and Safety of Atezolizumab (Anti-PD-L1 Antibody) Compared With Docetaxel in Patients With Non-Small Cell Lung Cancer After Failure With Platinum Containing Chemotherapy

TypeinterventionalSponsorHoffmann-La RocheRan2014 to 2019Enrolled1,225ConditionsNon-Squamous Non-Small Cell Lung CancerArmsAtezolizumab, Docetaxel
3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiaqian LiuDepartment of Biostatistics and Health Data Science, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Na BoDepartment of Biostatistics, School of Public Health, Virginia Commonwealth University, Richmond, Virginia.
Patrick Nana-SinkamDivision of Pulmonary and Critical Care, Virginia Commonwealth University, Richmond, Virginia.
Ying DingDepartment of Biostatistics and Health Data Science, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Blood-based tumor mutational burden (bTMB) has been proposed as a potential biomarker for identifying patients with advanced NSCLC who may benefit from immunotherapy. Prior studies have primarily focused on the high-bTMB group, which may lead to an incomplete or misleading assessment of the predictive value of bTMB. In this study, we used data from the POPLAR (NCT01903993) and OAK (NCT02008227) trials to re-evaluate the predictive role of bTMB for immunotherapy response in advanced NSCLC by analyzing all patients with available bTMB measures and evaluating outcomes in both high- and low-bTMB groups. Methods: Patients with evaluable bTMB from the POPLAR and OAK trials were included. For each study, hazard ratios (HRs) for both progression-free survival (PFS) and overall survival (OS) were calculated separately for the high- and low-bTMB groups across a range of cut points. Results: A total of 211 and 583 patients with evaluable bTMB were included from the POPLAR and OAK trials, respectively. bTMB cut points from 4 to 26 (in increments of 2) were evaluated. At a cut point of 14, one of the evaluated thresholds, in POPLAR, patients with high bTMB had a PFS HR of 0.50 (95% confidence interval [CI]: 0.30-0.83) and an OS HR of 0.51 (95% CI: 0.30-0.86), whereas patients with low bTMB had a PFS HR of 1.23 (95% CI: 0.86-1.76) and an OS HR of 0.82 (95% CI: 0.55-1.21). In OAK, patients with high-bTMB had a PFS HR of 0.68 (95% CI: 0.50-0.91), and those with low bTMB had a PFS HR of 0.98 (95% CI: 0.79-1.12), with no difference between the two groups for OS (HR = 0.63, 95% CI: 0.45-0.88 versus HR = 0.63, 95% CI: 0.50-0.80). Conclusions: The predictiveness of bTMB in identifying patients with NSCLC who may benefit from immunotherapy was evident for PFS but not for OS. Observing a differential treatment efficacy trend solely within the high-bTMB group across multiple cut points was insufficient to establish predictive utility. A valid assessment requires a comprehensive evaluation of both high- and low-bTMB populations, with predictiveness established by reporting differential treatment efficacy between these two groups.

Indexed as

AtezolizumabBlood-based tumor mutational burdenDifferential treatment efficacyNon–small cell lung cancerPredictive biomarker

Identifiers

PMID42893050
PMCPMC13675807

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.