Evidence map›Paper›PMID 39905106›Full record

SynthesisScientific reports2025

Why PD-L1 expression varies between studies of lung cancer: results from a Bayesian meta-analysis.

Preston Ngo, Wendy A Cooper, Stephen Wade, Kwun M Fong, Karen Canfell, Deme Karikios, Marianne Weber

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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.

Preston NgoThe Daffodil Centre, The University of Sydney, A Joint Venture with the Cancer Council NSW, 153 Dowling St, Woolloomooloo, NSW, 2011, Australia. preston.ngo@sydney.edu.au.
Wendy A CooperDepartment of Tissue Pathology and Diagnostic Oncology, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Stephen WadeThe Daffodil Centre, The University of Sydney, A Joint Venture with the Cancer Council NSW, 153 Dowling St, Woolloomooloo, NSW, 2011, Australia.
Kwun M FongPrince Charles Hospital, Chermside, QLD, Australia.
Karen CanfellThe Daffodil Centre, The University of Sydney, A Joint Venture with the Cancer Council NSW, 153 Dowling St, Woolloomooloo, NSW, 2011, Australia.
Deme KarikiosFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Marianne WeberThe Daffodil Centre, The University of Sydney, A Joint Venture with the Cancer Council NSW, 153 Dowling St, Woolloomooloo, NSW, 2011, Australia.

Funding

Department of Health and Aged Care, Australian Government MRF1200535
6 · The paper itself

Abstract

PD-L1 expression is an important biomarker for the management of non-small cell lung cancer (NSCLC) but has been highly heterogeneous across studies. We developed a statistical model to reconcile conflicting estimates of PD-L1 prevalence by accounting for between-study variation in test sensitivity, specimen age, and laboratory count. In doing so, we obtained refined estimates for PD-L1 expression prevalence and identified differences by histological subtype, mutational status, and stage. Across 92 studies published between 2015 and 2023, the detectability of PD-L1 declined with increasing specimen age while the consistency of detection rates was greater for studies incorporating data from a higher number of laboratories. Using the 22C3 antibody as a benchmark, we predicted that 58.3% (95% CrI 49.8-66.1%) and 27.0% (95% CrI 21.2-33.1%) of NSCLC will have PD-L1 tumour proportion scores at the ≥ 1% and ≥ 50% threshold. PD-L1 expression was lower in EGFR-mutated NSCLC and higher in NSCLC with ALK, KRAS, MET, ROS1, and RET alterations. PD-L1 expression was more common with later-stage disease. Overall, this work highlights the continuing challenge of consistency in PD-L1 testing. Although the underlying prevalence of PD-L1 expression varies in the lung cancer population based on tumour-related factors, controllable differences in testing parameters also account for variations in PD-L1 prevalence.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungLung NeoplasmsBayes TheoremBiomarkers, TumorGene Expression Regulation, NeoplasticHumansMutationB7-H1 AntigenBiomarkers, TumorCD274 protein, humanBiomarkersImmunohistochemistryImmunotherapyNon-small cell lung cancerPD-L1

Identifiers

PMID39905106
PMCPMC11794894

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.