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Published on: September 27, 2024
Telomere Maintenance Characteristics Predict Prognosis and Therapeutic Response in Colorectal Cancer
Yanpin Ma1, Xiangjie Fang2, Penghui Li1
1Department of Oncology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, China.
This study identifies Telomere Maintenance-related Genes (TMGs) as key predictors of colorectal cancer (CRC) prognosis and immunotherapy response. A novel risk score model using CDC25C and USP39 aids in personalized CRC treatment strategies.
Area of Science:
- Oncology
- Genetics
- Immunotherapy
Background:
- Telomere length is linked to colorectal cancer (CRC) risk and survival.
- Telomere Maintenance-related Genes (TMGs) role in CRC prognosis and immunotherapy response requires further investigation.
Purpose of the Study:
- To identify TMGs for predicting immunotherapy response and prognosis in CRC patients.
- To develop a risk score model for CRC prognosis and assess its correlation with drug sensitivity.
Main Methods:
- Utilized TCGA and GEO databases for CRC gene expression and clinical data.
- Employed Weighted Gene Co-Expression Analysis (WGCNA) to identify TMG-related gene modules.
- Constructed a risk score model using Cox regression analysis on key prognostic genes (CDC25C, USP39).
Main Results:
- A higher TMG score correlated with poorer immune infiltration and stromal scores in CRC.
- The developed risk score model demonstrated good survival prediction across independent cohorts.
- High-risk patients exhibited altered immune cell infiltration and reduced sensitivity to most drugs.
Conclusions:
- A TMG-related signature, based on CDC25C and USP39, effectively predicts CRC prognosis and immunotherapy response.
- The established risk score model offers a reliable tool for prognostic prediction in CRC.
- TMGs provide a new molecular basis for developing individualized treatment strategies in CRC.
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