Molecular subtype identification and prognosis stratification by a metabolism-related gene expression signature in colorectal cancer.

ABSTRACT:

Background

Metabolic reprograming have been associated with cancer occurrence and progression within the tumor immune microenvironment. However, the prognostic potential of metabolism-related genes in colorectal cancer (CRC) has not been comprehensively studied. Here, we investigated metabolic transcript-related CRC subtypes and relevant immune landscapes, and developed a metabolic risk score (MRS) for survival prediction.

Methods

Metabolism-related genes were collected from the Molecular Signatures Database and metabolic subtypes were identified using an unsupervised clustering algorithm based on the expression profiles of survival-related metabolic genes in GSE39582. The ssGSEA and ESTIMATE methods were applied to estimate the immune infiltration among subtypes. The MRS mo

SUBMITTER: Lin D 

PROVIDER: S-EPMC8244251 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature