Systems biology approach to identify biomarkers and therapeutic targets for colorectal cancer.

ABSTRACT:

Background

Colorectal cancer (CRC), is the third most prevalent cancer across the globe, and is often detected at advanced stage. Late diagnosis of CRC, leave the chemotherapy and radiotherapy as the main options for the possible treatment of the disease which are associated with severe side effects. In the present study, we seek to explore CRC gene expression data using a systems biology framework to identify potential biomarkers and therapeutic targets for earlier diagnosis and treatment of the disease.

Methods

The expression data was retrieved from the gene expression omnibus (GEO). Differential gene expression analysis was conducted using R/Bioconductor package. The PPI network was reconstructed by the STRING. Cystoscope and Gephi software packages were used for visualiz

SUBMITTER: Sadat Kalaki N 

PROVIDER: S-EPMC10821538 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature