Integrative analysis of semaphorins family genes in colorectal cancer: implications for prognosis and immunotherapy.

ABSTRACT:

Background

Semaphorins (SEMAs), originally identified as axon guidance factors, have been found to play crucial roles in tumor growth, invasiveness, neoangiogenesis, and the modulation of immune responses. However, the prognostic value of SEMA-related genes in colorectal cancer (CRC) remains unclear.

Methods

We applied a novel machine learning framework that incorporated 10 machine learning algorithms and their 101 combinations to construct a SEMAs-related score (SRS). Multi-omics analysis was performed, including single-cell RNA sequencing (scRNA-seq), and spatial transcriptome (ST) to gain a more comprehensive understanding of the SRS. A series of cell experiments were conducted to prove the impact of key genes on CRC biological behavior.

Result

A consensus SRS was

SUBMITTER: Zhu J 

PROVIDER: S-EPMC11913869 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature