Language
English
Publication Date
5-19-2026
Journal
Cell Reports Medicine
DOI
10.1016/j.xcrm.2026.102756
PMID
42013851
PMCID
PMC13198309
PubMedCentral® Posted Date
4-20-2026
PubMedCentral® Full Text Version
Post-print
Abstract
Gastric cancer is marked by profound molecular and microenvironmental heterogeneity that limits therapeutic progress. Here, we present a 15-layer multi-omics atlas that integrates genomics, epigenomics, transcriptomics, proteomics, multiple post-translational modifications (PTMs), protein-protein interactions, metabolomics, and microbiome profiles from 159 primary gastric adenocarcinomas and 30 matched normal adjacent tissues. Using cell-state deconvolution, we define tumor ecotypes that refine genomic and histological subtypes by capturing distinct tumor microenvironment architectures linked to clinical outcomes and potential associations with immunotherapy response. Multi-omics integration prioritizes genomic and epigenomic aberrations and their associated vulnerabilities; defines ecotype-specific transcriptional programs, signaling pathways, PTMs, protein interaction networks, and metabolic regulation; and identifies microbiome features linked to ecotypes and resistance pathways. We further prioritize ecotype-, genomic subtype-, and cell type-specific targetable proteins using proteomic and PTM analyses within a tumor microenvironment context. This comprehensive atlas provides a systems-level blueprint for decoding gastric cancer heterogeneity and advancing precision oncology.
Keywords
Humans, Stomach Neoplasms, Multiomics, Tumor Microenvironment, Proteomics, Metabolomics, Protein Processing, Post-Translational, Genomics, Gene Expression Regulation, Neoplastic, Protein Interaction Maps, Microbiota, gastric cancer, multi-omics, tumor ecotypes, tumor microenvironment, proteogenomics, post-translational modifications, protein-protein interactions, metabolomics, microbiome, precision oncology, therapeutic targets
Published Open-Access
yes
Recommended Citation
Wang, Yuefan; Olsen, Lindsey K; Jiao, Fenglong; et al., "A 15-Layer Multi-Omics Analysis of Gastric Cancer Ecotypes Provides Therapeutic Insights" (2026). Faculty, Staff and Students Publications. 8331.
https://digitalcommons.library.tmc.edu/baylor_docs/8331