Tumor-infiltrating immune cell signature score reveals prognostic biomarkers and therapeutic targets for colorectal cancer.

ABSTRACT:

Background

Colorectal cancer (CRC) is one of the leading contributors to cancer-related deaths worldwide, with more than 900,000 new diagnoses and related deaths each year. This study aims to explore the prognostic value of tumor-infiltrating immune cell (TIIC)-related genes in CRC, in order to discover new biomarkers and therapeutic targets.

Methods

We integrated CRC transcriptome data from public databases to construct and validate a prognostic model and analyzed single-cell RNA sequencing (scRNA-seq) data to classify immune cell subtypes. A suite of computational models was employed to assess TIIC signature scores and to refine the selection of prognostic TIIC-related genes using multiple machine learning techniques-including Random Survival Forest (RSF), LASSO regression

SUBMITTER: Zuo X 

PROVIDER: S-EPMC12117586 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature