ArticleCancers2023
PD-L1 Expression by RNA-Sequencing in Non-Small Cell Lung Cancer: Concordance with Immunohistochemistry and Associations with Pembrolizumab Treatment Outcomes.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Guiding the Application of Immunotherapy in Nonsmall Cell Lung Cancer: The Role of Biomarkers.Thoracic cancer · 2026Review
- 5' Rapid Amplification of cDNA Ends (5' RACE)-Based Targeted RNA Sequencing Assay for the Analysis of Clinically Relevant Alterations in Lung Cancer Patients.International journal of molecular sciences · 2026Article
- Molecular Pathways and Biomarkers in Endometrial Carcinoma: Paving the Way for Precision Medicine.Anti-cancer agents in medicinal chemistry · 2026Review
- Immune checkpoint inhibitors in medulloblastoma: current updates in preclinical and clinical developments.Frontiers in oncology · 2026Review
- Utilization of a Multi-modal Comprehensive Genomic and Immune Profiling Testing Strategy Results in a High Rate of Test Success and Detection of Clinically Relevant Biomarkers While Optimizing Tissue Usage.Molecular diagnosis & therapy · 2025Article
- Gene- and immune-targeted therapy combinations using dual-matched biomarkers for patient selection.NPJ precision oncology · 2025Article
- Clinical and Biologic Correlates of ADORA2A Transcriptomic Expression in Cancer.International journal of molecular sciences · 2024Article
- Cancer testis antigen burden (CTAB): a novel biomarker of tumor-associated antigens in lung cancer.Journal of translational medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Programmed cell death ligand (PD-L1) expression by immunohistochemistry (IHC) lacks sensitivity for pembrolizumab immunotherapy selection in non-small cell lung cancer (NSCLC), particularly for tumors with low expression. We retrospectively evaluated transcriptomic PD-L1 by mRNA next-generation sequencing (RNA-seq). In an unselected NSCLC patient cohort (n = 3168) tested during standard care (2017-2021), PD-L1 IHC and RNA-seq demonstrated moderate concordance, with 80% agreement overall. Most discordant cases were either low or negative for PD-L1 expression by IHC but high by RNA-seq. RNA-seq accurately discriminated PD-L1 IHC high from low tumors by receiver operator curve (ROC) analysis but could not distinguish PD-L1 IHC low from negative tumors. In a separate pembrolizumab monotherapy cohort (n = 102), NSCLC tumors classified as PD-L1 high versus not high by RNA-seq had significantly improved response, progression-free survival, and overall survival as an individual measure and in combination with IHC high or low status. PD-L1 IHC status (high or low) trended toward but had no significant associations with improved outcomes. Conventional PD-L1 IHC testing has inherent limitations, making it an imperfect reference standard for evaluating novel testing technologies. RNA-seq offers an objective PD-L1 measure that could represent a complementary method to IHC to improve NSCLC patient selection for immunotherapy.
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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 Socratic graph.