ArticleCancer2026
Multiomic characterization of small cell lung cancer: Real-world insights into therapeutic opportunities.
Article in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Decoding Small Cell Lung Cancer: Molecular Subtypes, Surface Antigens, and the Target-Modality Problem.Cancers · 2026Review
- Development and internal validation of dynamic nomograms for predicting recurrence and survival in patients with resected combined small cell lung cancer.Journal of thoracic disease · 2026Article
- Multiomic characterization of small cell lung cancer: Real-world insights into therapeutic opportunities.Cancer · 2026Article
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19 authors.
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Abstract
backgroundThe dominant expression of lineage-related transcription factors (TFs)-ASCL1, NEUROD1, POU2F3, and, controversially, YAP1-has enabled the classification of small cell lung cancer (SCLC) into distinct subtypes (SCLC-A/N/P/Y, respectively). Emerging evidence suggests that a T cell-inflamed phenotype characterizes an SCLC subset. A large-scale multiomic analysis of samples from real-world patients with SCLC was conducted to examine the expression of clinically relevant biomarkers across SCLC subtypes.
methodsComprehensive molecular profiling of patient samples (N = 944) was performed via next-generation DNA sequencing (592-gene panel or whole exome), RNA sequencing (whole transcriptome), and immunohistochemistry. Tumors were stratified on the basis of the dominant expression of an individual TF (SCLC-A/N/Y/P subtypes), coexpression of multiple TFs (mixed), or low expression of all four TFs (TF-) for characterization of immune-related gene signatures (T-cell inflamed, natural killer cell, and Stimulator of Interferon Genes pathway) and clinically relevant target genes.
resultsThe cohort was composed of 25.6% SCLC-A, 10.2% SCLC-N, 12.5% SCLC-Y, 4.3% SCLC-P, 19.5% SCLC TF-, and 27.9% mixed subtypes. The SCLC-Y subtype exhibited the highest expression of immune-related gene signatures, with comparable expression observed in mixed samples expressing YAP1. Additionally, expression of clinically relevant target genes found in SCLC-A (DLL3, SEZ6, and BCL2) and SCLC-N (SSTR2) was increased in mixed samples expressing ASCL1 and NEUROD1. The TF- subtype was not associated with increased immune-related signatures or other target genes.
conclusionsThis large-scale multiomic analysis revealed significant associations between SCLC subtypes and specific immune signatures and comutations. These findings provide insights into the molecular heterogeneity of SCLC, and highlight potential biomarkers for targeted therapies.
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