Identification and validation of a seven-gene prognostic marker in colon cancer based on single-cell transcriptome analysis.

ABSTRACT: Colon cancer (CC) is one of the most commonly diagnosed tumours worldwide. Single-cell RNA sequencing (scRNA-seq) can accurately reflect the heterogeneity within and between tumour cells and identify important genes associated with cancer development and growth. In this study, scRNA-seq was used to identify reliable prognostic biomarkers in CC. ScRNA-seq data of CC before and after 5-fluorouracil treatment were first downloaded from the Gene Expression Omnibus database. The data were pre-processed, and dimensionality reduction was performed using principal component analysis and t-distributed stochastic neighbour embedding algorithms. Additionally, the transcriptome data, somatic variant data, and clinical reports of patients with CC were obtained from The Cancer Genome Atlas database. Sev

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC8965382 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature