Prognostic Risk Model of Immune-Related Genes in Colorectal Cancer.

Area of Science:

• Oncology
• Immunology
• Genetics

Background:

• Colorectal cancer (CRC) is a significant cause of cancer mortality.
• Immune-related genes (IRGs) and the tumor immune microenvironment (TIME) are increasingly recognized as potential prognostic indicators in CRC.

Purpose of the Study:

• To develop an improved prognostic signature for CRC using IRGs.
• To predict overall survival (OS) and identify novel therapeutic targets for CRC.
• To stratify patients for personalized immunotherapy.

Main Methods:

• Transcriptomic data analysis to identify IRGs.
• Cox regression modeling to build a prognostic signature based on 18 IRGs.
• Utilized the TIMER online database to correlate the risk model with immune cell infiltration.

Main Results:

• An 18-immune-related gene (IRG) signature was established as an independent prognostic factor for overall survival (OS) in colorectal cancer (CRC) patients.
• The developed risk scoring model demonstrated the ability to reflect the state of the tumor immune microenvironment (TIME).

Conclusions:

• The 18-IRG prognostic signature provides a valuable tool for predicting CRC patient survival.
• This signature can guide clinical treatment decisions and follow-up strategies.
• The findings support the implementation of stratification strategies for personalized immunotherapy in colorectal cancer.