ArticleTranslational lung cancer research2025
Whole-section digital analysis of immune profiles in surgically resected small cell lung carcinoma and their associations with molecular subtypes.
Article in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic values and clinical significance of POU2F3 expression in neuroendocrine carcinomas: a meta-analysis with a focus on small cell lung cancer.Annals of medicine · 2025Pooled it
- [Expert Consensus on Immunotherapy for Extensive-stage Small Cell Lung Cancer Based on Molecular Subtyping].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Prognostic utility of baseline ASCL1/INSM1 expression and neutrophil-lymphocyte ratio in unresectable SCLC treated with first-line chemoimmunotherapy with or without radiotherapy.Frontiers of medicine · 2025Article
- Expression of YAP1 delineates distinct subtypes of pulmonary large cell neuroendocrine carcinoma with divergent therapeutic implications.Translational lung cancer research · 2025Article
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Authors and funding
7 authors.
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Abstract
Background: The molecular subtype-specific features of the tumor immune microenvironment (TIME) in small cell lung carcinoma (SCLC) remain poorly understood. We aimed to analyze the immune profiles in surgically resected SCLC and their associations with molecular subtypes. Methods: Tumor samples from 83 treatment-naive SCLC patients who underwent surgical resection were analyzed. The protein expression of subtype-defining markers (ASCL1, NEUROD1, POU2F3, and YAP1) and nine immune-related markers were assessed using whole-section immunohistochemistry. Digital image analysis was employed for precise quantification of immune cell infiltrates and distributions. The findings were subsequently correlated with clinicopathological parameters and patient prognoses. Results: Unsupervised hierarchical clustering categorized the tumors into four molecular subtypes: achaete-scute homologue 1-dominant (ASCL1; SCLC-A, 71.1%, n=59), neuronal differentiation factor 1-dominant (NEUROD1; SCLC-N, 12.1%, n=10), POU class 2 homeobox 3-dominant (POU2F3; SCLC-P, 10.8%, n=9), and quadruple-negative (SCLC-QN, 6.0%, n=5). Expression of major histocompatibility complex class I (MHC I) and class II (MHC II; P=0.02, P=0.02), tumor programmed death-ligand 1 (PD-L1; P=0.006), and an inflamed phenotype characterized by CD8 Conclusions: This study highlights the heterogeneity of the TIME across molecular subtypes of SCLC. The SCLC-P subtype and MHC I expression may serve as predictive biomarkers for immunotherapy response, while peri-TLS density and stromal PD-L1 expression might serve as prognostic indicators in resected SCLC.
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