Hypoxia-anoikis-related genes in LUAD: machine learning and RNA sequencing analysis of immune infiltration and therapy response.

ABSTRACT: Hypoxia plays a crucial role in the pathogenesis of various cancers, especially lung adenocarcinoma (LUAD), by altering cancer metabolism to promote escape mechanisms. Anoikis, a specialized form of programmed cell death, is evaded by LUAD cells during tumor progression and metastasis through upregulation of anti-apoptotic proteins. Investigating the impact of hypoxia-anoikis-related genes on prognosis and therapy prediction in LUAD is essential. Gene expression and clinical data from 489 LUAD patients and 49 normal tissues in The Cancer Genome Atlas (TCGA) dataset were used as the training set, while GSE72094, GSE31210, and GSE30219 datasets were used for validation. Weighted Gene Co-Expression Network Analysis (WGCNA) identified genes associated with hypoxia and anoikis. Machine learning

SUBMITTER: Liu Y 

PROVIDER: S-EPMC12432557 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature