Integrating the secretome and interactome to identify novel biomarkers and therapeutic targets in colorectal cancer.

ABSTRACT:

Background

Cancer is extensively studied, yet its origins and progression remain unclear. A key question is why tumors of the same type vary in aggressiveness and treatment response. In colorectal cancer (CRC), the third most common cancer, this variability led to the identification of molecular subtypes (CMS). However, the tumor microenvironment remains poorly understood and may be crucial for understanding carcinogenesis and drug resistance. A promising approach is analyzing cell interactions through ligand-receptor expression. This study used bioinformatics to examine CRC in different anatomical locations, identify diagnostic and prognostic biomarkers, and propose targeted drugs.

Methods

Expression data were obtained from the TCGA-COAD database. All samples were filtered

SUBMITTER: Caxali GH 

PROVIDER: S-EPMC12512465 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature