Multi-omics analysis reveals different cholesterol metabolism subtypes in colorectal cancer.

ABSTRACT:

Background

Cholesterol metabolism (CM) plays a critical role in the progression of colorectal cancer (CRC), yet its molecular and immunological implications remain incompletely understood. Therefore, we aimed to identify CRC subtypes according to CM-related genes and reveal their distinct characteristics.

Methods

Based on CM-related genes, we applied unsupervised clustering to classify CRC into two subtypes using transcriptomic data from TCGA and comprehensively compared their transcriptomic, genomic and clinical characteristics. We utilized single-cell RNA sequencing data and classified the samples into two subtypes and investigated the distinctions in the tumor microenvironment (TME) between these subtypes.

Results

Two distinct CM subtypes were identified: Subtype A

SUBMITTER: Sun Y 

PROVIDER: S-EPMC12644335 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature