Layer Analysis Based on RNA-Seq Reveals Molecular Complexity of Gastric Cancer.

ABSTRACT: Gastric adenocarcinoma (GA) is a significant global health issue with poor prognosis, despite advancements in treatment. Although molecular classifications, such as The Cancer Genome Atlas (TCGA), provide valuable insights, their clinical utility remains limited. We performed a multi-layered functional analysis using TCGA RNA sequencing data to better define molecular subtypes and explore therapeutic implications. We reanalyzed TCGA RNA-seq data from 142 GA patients with localized disease who received adjuvant chemotherapy. Our approach included probabilistic graphical models and recurrent sparse k-means/consensus cluster algorithms for layer-based analysis. Our findings revealed survival differences among TCGA groups, with the GS subtype showing the poorest prognosis. We identified twelve

SUBMITTER: Perez-Wert P 

PROVIDER: S-EPMC11545517 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature