Language
English
Publication Date
9-8-2025
Journal
Cancer Cell
DOI
10.1016/j.ccell.2025.07.011
PMID
40749670
PMCID
PMC12393171
PubMedCentral® Posted Date
3-26-2026
PubMedCentral® Full Text Version
Author MSS
Abstract
Lung adenocarcinomas (LUAD) are a pressing global health problem with enduring lethality and rapidly shifting epidemiology. Proteogenomic studies integrating proteomics and post-translational modifications with genomics can identify clinical strata and oncogenic mechanisms, but have been underpowered to examine effects of ethnicity, smoking and environmental exposures, or sex on this heterogeneous disease. This comprehensive proteogenomic analysis of LUAD tumors and matched normal adjacent tissues from 406 patients across diverse geographic and demographic backgrounds explores the impact of understudied driver mutations, prognostic role of chromosomal instability, patterns of immune signaling, differential and sex-specific effects of endogenous mutagens and environmental carcinogens, and pathobiology of early-stage tumors with "late-like" characteristics. Candidate protein biomarkers are proposed for unstable tumors with highly fragmented genomes and for carcinogen exposures, and a LUAD subtype-specific atlas of therapeutic vulnerabilities is presented. These observations and the associated data resource advance the objective of precision management strategies for this devastating disease.
Keywords
Humans, Lung Neoplasms, Adenocarcinoma of Lung, Female, Male, Biomarkers, Tumor, Mutation, Environmental Exposure, Proteogenomics, Middle Aged, Aged, Prognosis, Ethnicity, Chromosomal Instability, Adenocarcinoma, Proteogenomics, LUAD, Genomics, Mass Spectrometry, PTMs, Biomarkers, Smokers, Non-smokers, CPTAC, ICPC
Published Open-Access
yes
Recommended Citation
Satpathy, Shankha; Clark, Natalie M; Chen, Yi-Ju; et al., "Integrative Analysis of Lung Adenocarcinoma Across Diverse Ethnicities and Exposures" (2025). Faculty, Staff and Students Publications. 6518.
https://digitalcommons.library.tmc.edu/baylor_docs/6518
Graphical Abstract