Evidence map›Paper›PMID 40983669›Full record

ReviewBJC reports2025

Evaluating the significance of combining PD-L1 and TILs as biomarkers in non-small cell lung cancer patients treated with immunotherapy: a systematic review.

Y Derraze, S M S Hashemi, E B Ulas, K A Ziesemer, B Lissenberg-Witte, T Radonic, I Bahce

Abstract readReview
In one paragraph

Review in BJC reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. CirculatingCancers · 2026
    Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Y Derraze *Amsterdam UMC location VUMC, Department of Pulmonary Medicine, De Boelelaan, Amsterdam, The Netherlands. y.derraze@amsterdamumc.nl.
S M S Hashemi *Amsterdam UMC location VUMC, Department of Pulmonary Medicine, De Boelelaan, Amsterdam, The Netherlands.
E B UlasAmsterdam UMC location VUMC, Department of Pulmonary Medicine, De Boelelaan, Amsterdam, The Netherlands.
K A ZiesemerMedical Library, Vrije Universiteit, Amsterdam, The Netherlands.
B Lissenberg-WitteAmsterdam UMC location VUMC, Department of Epidemiology and Data Science, Amsterdam, The Netherlands.
T RadonicAmsterdam UMC location VUMC, Department of Pathology, De Boelelaan, Amsterdam, The Netherlands.
I BahceAmsterdam UMC location VUMC, Department of Pulmonary Medicine, De Boelelaan, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In advanced non-small cell lung cancer (NSCLC), programmed death-ligand 1 (PD-L1) expression is a well-established but suboptimal biomarker for predicting response to immune checkpoint inhibitors (ICIs). Tumor-infiltrating lymphocytes (TILs), particularly CD8+ subsets, have demonstrated potential as complementary biomarker. Despite existing data on each biomarker individually, the combined effect is not fully understood. A systematic search of Ovid/Medline, Embase, and Web of Science identified studies on CD8+ TILs and PD-L1 in NSCLC patients treated with ICIs. The primary outcomes were progression-free survival (PFS) and overall survival (OS). Secondary endpoints included objective response rate (ORR) and durable clinical benefit (DCB). Study quality was assessed using the Newcastle-Ottawa Scale. Thirteen studies (2490 patients) were included. PD-L1 expression was associated with longer PFS in 6 of 8 studies (HR: 0.67, 95% CI: 0.49-0.90) but did not significantly correlate with OS. TILs alone showed no significant predictive value for PFS or OS. However, combining both biomarkers provided the strongest predictive value for PFS (HR: 0.39, 95% CI: 0.27-0.57) and OS (HR: 0.42, 95% CI: 0.31-0.56). Combining PD-L1 and TILs may more effectively predict PFS and OS than either biomarker alone, though their clinical application remains complex.

Identifiers

PMID40983669
PMCPMC12454632

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Registered trials

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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.