Evidence map›Paper›PMID 28059094›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2017

Heterogeneous expression of PD-L1 in pulmonary squamous cell carcinoma and adenocarcinoma: implications for assessment by small biopsy.

Thomas J Gniadek, Qing Kay Li, Ellen Tully, Samit Chatterjee, Sridhar Nimmagadda, Edward Gabrielson

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07331701 (Association of BAL Fluid T-Cell Immune Activity With Tumor PD-L1 Expression and Its Prognostic Value), which is not on this map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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.

NCT07331701 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Association of BAL Fluid T-Cell Immune Activity With Tumor PD-L1 Expression and Its Prognostic Value: A Prospective Observational Study

Typeobservational_patient_registrySponsorSeoul National University HospitalRan2026 to 2027Enrolled60ConditionsLung Neoplasms, Tumor Immune Microenvironment
3 · Its place in the literature

Who cites it

61 citing papers in PubMed.

  1. Nature medicine · 2018
    Trial
  2. Trial
  3. Article
  4. Do Metastatic Cells Arise from PD-L1International journal of molecular sciences · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. [European journal of nuclear medicine and molecular imaging · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. PD-1T TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

6 authors.

Thomas J GniadekThe Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Qing Kay LiThe Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ellen TullyThe Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Samit ChatterjeeRussell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Sridhar NimmagaddaRussell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-6413-7191
Edward GabrielsonThe Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting response to checkpoint blockade therapy for lung cancer has largely focused on measuring programmed death-ligand 1 (PD-L1) expression on tumor cells. PD-L1 expression is geographically heterogeneous within many tumors, however, and we questioned whether small tissue samples, such as biopsies, might be sufficiently representative of PD-L1 expression for evaluating this marker in lung cancer tumors. To evaluate the extent of variability of PD-L1 expression in small tissue samples, and how that variability affects accuracy of overall assessment of PD-L1 in lung cancer, we scored immunohistochemical staining for PD-L1 in tissue microarray cores from a series of 79 squamous cell lung cancers and 71 pulmonary adenocarcinomas. Our study found substantial inconsistencies for the percentages of cells staining positive for PD-L1 among different tissue microarray cores in many cases of both adenocarcinoma and squamous cell carcinoma. This variable scoring was seen at both high levels and low levels of PD-L1 expression, and by further evaluation of cases with discordant results on full-face sections to assess geographic distribution of staining, we found that discordant results among different tissue microarray cores reflected geographic variation of PD-L1 expression in those tumors. Moreover, we found that as a result of heterogeneous expression, the sensitivity of a single small tissue sample can be as low as 85% for detecting PD-L1 expression at scoring thresholds commonly used in clinical practice. Based on these studies, we conclude that many cases of lung cancer could be inaccurately or variably scored for PD-L1 expression with a single biopsy sample. Accordingly, lung cancer patients can be inconsistently classified for PD-L1 expression status, particularly when a threshold for the percentage of positive cells is used to determine eligibility for checkpoint blockade therapy.

Indexed as

AdenocarcinomaB7-H1 AntigenBiomarkers, TumorBiopsyCarcinoma, Squamous CellFemaleHumansImmunohistochemistryLung NeoplasmsMaleTissue Array AnalysisB7-H1 AntigenBiomarkers, TumorCD274 protein, human

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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.