ArticleTranslational lung cancer research2026
Multi-omics profiling reveals
Article in Translational lung cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
8 authors.
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Abstract
Background: Early-onset lung squamous cell carcinoma (LUSC) is a rare and poorly characterized entity. Its distinct clinicopathological, genomic, and tumor immune microenvironment (TIME) profiles remain to be elucidated. This study sought to explore the molecular landscape and immunophenotype of early-onset LUSC, with a focus on uncovering potential genomic associations with its clinical features. Methods: In this retrospective, single-center cohort study, we conducted a comprehensive multi-omics analysis on patients with surgically resected, treatment-naïve early-onset LUSC (subjects aged ≤40 years, n=21) between 2015 and 2024 using whole-exome sequencing (WES) and digital spatial profiling (DSP). To contextualize our findings, we conducted a comparative analysis using publicly available LUSC data from The Cancer Genome Atlas (TCGA) via the Xena platform. Results: WES revealed a high mutation frequency of Conclusions: Our study identifies
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