ArticleJournal of translational medicine2025
Tumor immune microenvironment score predicts efficacy of immune checkpoint inhibitors-based regimens in advanced non-small cell lung cancer.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The ALP score: a novel composite index for prognostic risk stratification to chemo-immunotherapy in advanced non-small cell lung cancer.Frontiers in immunology · 2026Article
- Inferring tumor immune microenvironment -related risk states from pretreatment H&E pathomics and clinical biomarkers to predict checkpoint inhibitor pneumonitis in advanced NSCLC: a multicenter multimodal study.Frontiers in immunology · 2026Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImmune checkpoint inhibitor (ICI)-based regimens have become the standard first-line treatment for advanced non-small cell lung cancer (NSCLC). However, response rates vary widely, emphasizing the need for a predictive model to optimize patient selection and improve treatment outcomes.
methodsWe retrospectively analyzed 96 treatment-naïve patients with advanced NSCLC who received first-line ICI-based regimens (anti-PD-1 ± platinum chemotherapy) at Hunan Cancer Hospital. Pre-treatment tumor biopsies underwent bulk RNA sequencing to identify differentially expressed genes associated with progression-free survival (PFS). A five-gene Cox proportional hazards model, the Prediction model of Immunotherapy Efficacy (PIE), was developed and validated in two independent cohorts: ORIENT-11 (n = 113; chemo-ICI) and OAK (n = 344; ICI monotherapy). Multiplex immunofluorescence staining (CD8, CD56, CD16, Pan-CK, PD-L1, MAGEA2) was performed to validate immune-cell infiltration patterns and candidate biomarkers across PIE-defined risk groups.
resultsPatients in the long-survival group exhibited enrichment of IL7R
conclusionPIE represents a clinically relevant, transcriptome-based predictive model for evaluating the benefit of ICI treatment in advanced NSCLC. With further prospective validation, PIE may facilitate personalized patient selection and guide the development of novel strategies to overcome primary resistance.
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