Multi-omics cluster defines the subtypes of CRC with distinct prognosis and tumor microenvironment.

ABSTRACT:

Background

Colorectal cancer (CRC) is a complex malignancy characterized by diverse molecular profiles, clinical outcomes, and limited precision in prognostic markers. Addressing these challenges, this study utilized multi-omics data to define consensus molecular subtypes in CRC and elucidate their association with clinical outcomes and underlying biological processes.

Methods

Consensus molecular subtypes were obtained by applying ten integrated multi-omics clustering algorithms to analyze TCGA-CRC multi-omics data, including mRNA, lncRNA, miRNA, DNA methylation CpG sites, and somatic mutation data. The association of subtypes with prognoses, enrichment functions, immune status, and genomic alterations were further analyzed. Next, we conducted univariate Cox and Lasso regres

SUBMITTER: Ma Y 

PROVIDER: S-EPMC10976740 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature