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Predictive And Prognostic Markers
Construction And Multicohort Validation Of A Colon Cancer Prognostic Risk Score System Based On Big Data Of Neutrophil-associated Differentially Expressed Genes.

Home
Research Domains
Biomedical And Clinical Sciences
Oncology And Carcinogenesis
Predictive And Prognostic Markers
Construction And Multicohort Validation Of A Colon Cancer Prognostic Risk Score System Based On Big Data Of Neutrophil-associated Differentially Expressed Genes.

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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Construction and multicohort validation of a colon cancer prognostic risk score system based on big data of neutrophil-associated differentially expressed genes.

Yunxi Yang¹, Cheng Lu¹, Linbin Li¹

¹Research Center for Neutrophil Engineering Technology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou 215002, Jiangsu Province, China.

Journal of Cancer

|April 5, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Keywords:

colon cancer immunotherapy molecular subtypes neutrophil

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Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

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Published on: March 14, 2019

A new prognostic risk score (PRS) system based on neutrophil-associated genes predicts colon cancer outcomes and immunotherapy effectiveness. This tool aids in developing targeted neutrophil-focused antitumor strategies.

Area of Science:

Oncology
Immunology
Bioinformatics

Background:

Neutrophils play a complex role in cancer progression.
Understanding neutrophil involvement is crucial for developing effective colon cancer therapies.

Purpose of the Study:

To investigate the prognostic value of neutrophil-associated genes in colon cancer.
To develop a prognostic risk score (PRS) system for colon cancer patients.
To evaluate the PRS system's potential as a predictor of immunotherapy efficacy.

Main Methods:

Unsupervised clustering of genetic data from 1,273 colon cancer patients based on neutrophil-associated genes.
Identification of differentially expressed genes (DEGs) impacting overall survival (OS) using Cox regression.
Construction and validation of a prognostic risk score (PRS) system.

prognosis risk score

Analysis of PRS correlation with prognosis, immune cell infiltration, tumor microenvironment, and mutations.

Validation in pan-tumor immunotherapy cohorts.

Main Results:

Two colon cancer subtypes (Cluster A and B) were identified, with Cluster B showing a superior prognosis.
A 17-gene PRS system was developed from 109 DEGs, identifying high-PRS individuals with poorer prognosis, increased mutations, and an immunosuppressive microenvironment.
High-PRS patients demonstrated enhanced response rates, progression-free survival, and overall survival in immunotherapy cohorts.
The PRS system effectively predicted immunotherapy efficacy across different tumor types.

Conclusions:

The PRS system is a valuable prognostic model for colon cancer.
The PRS system shows potential as a universal marker for predicting immunotherapy response.
Findings support the development of neutrophil-targeted antitumor strategies.