WGCNA and machine learning identify AURKA, CDK1, and other hub genes associated with immune infiltration as therapeutic targets in GIST: An integrative bioinformatics analysis.

ABSTRACT: Gastrointestinal stromal tumors (GISTs) are the primary mesenchymal tumors in the gastrointestinal (GI) tract. Surgical treatments and tyrosine kinase inhibitors significantly improve patient outcomes. However, many patients develop resistance within 18-24 months, mainly due to mutations in the KIT and PDGFRA genes. Therefore, there is an urgent need for new biomarkers and therapeutic targets beyond KIT and PDGFRA to enhance diagnosis, monitor disease progression, and develop innovative treatment strategies. Gene expression data from GSE136755 were analyzed using R. Weighted gene co-expression network analysis identified co-expression modules, which were subsequently followed by GO/KEGG enrichment for functional insights. PPI networks were constructed using STRING, and hub genes were scree

SUBMITTER: Chen A 

PROVIDER: S-EPMC12778171 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature