Identification of biomarkers for the diagnosis in colorectal polyps and metabolic dysfunction-associated steatohepatitis (MASH) by bioinformatics analysis and machine learning.

ABSTRACT: Colorectal polyps are precursors of colorectal cancer. Metabolic dysfunction associated steatohepatitis (MASH) is one of metabolic dysfunction associated fatty liver disease (MAFLD) phenotypic manifestations. Much evidence has suggested an association between MASH and polyps. This study investigated the biomarkers of MASH and colorectal polyps, and the prediction of targeted drugs using an integrated bioinformatics analysis method. Differentially expressed genes (DEGs) analysis and weighted gene co-expression network analysis (WGCNA) were performed on GSE89632 and GSE41258 datasets, 49 shared genes revealed after intersection. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses depicted they were mainly enriched in apoptosis, proliferation and infe

SUBMITTER: Geng Y 

PROVIDER: S-EPMC11603146 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature