{"title":"Telomere Maintenance Characteristics Predict Prognosis and Therapeutic Response in Colorectal Cancer.","authors":"Yanpin Ma, Xiangjie Fang, Penghui Li","doi":"10.2174/0115680266397024250710105241","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The link between telomere length and Colorectal Cancer (CRC) risk and survival has been established. This study aims to investigate Telomere Maintenance-related Genes (TMGs) for predicting immunotherapy response and prognosis in CRC patients.</p><p><strong>Methods: </strong>In this study, gene expression data and clinical information of CRC patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and TMG-related scores were calculated for the samples. Subsequently, Weighted Gene Co- Expression Analysis (WGCNA) was used to identify gene modules that were highly correlated with the TMG score and intersected with differentially expressed genes to screen for potential functionally relevant candidate genes. The key genes significantly associated with prognosis were further analyzed using Cox regression analysis, from which key genes were identified, and a risk score model was constructed. Finally, the survival prediction ability of the model was evaluated across multiple cohorts, and differences in immune cell infiltration characteristics and drug sensitivity were analyzed within different risk groups.</p><p><strong>Results: </strong>A higher TMG score was noticed in CRC, and the TMG score was negatively correlated with the StromalScore, ImmuneScore, and ESTIMATEScore. Gene modules significantly associated with the TMG score were identified using WGCNA. Two key genes, CDC25C and USP39, which were closely associated with prognosis, were screened through differential expression analysis, and a risk score model was constructed. The model showed good survival prediction in both TCGA and GSE17537 independent cohorts. The scores of activated CD4 T cells, Type 17 T helper cells, Type 2 T helper cells, and neutrophils in the high-risk patients were lower, while the score of macrophages was higher in high-risk patients. Additionally, a negative correlation was observed between the risk score and the IC50 values of most drugs, as well as the enriched pathways of patients at high risk, which included epithelial-mesenchymal transition, angiogenesis, and myogenesis.</p><p><strong>Discussion: </strong>This study unveiled a TMG-related signature that predicts prognosis and immunotherapy in CRC. Based on the 2 prognostically relevant genes CDC25C and USP39, a reliable risk score model was established for the prognostic prediction, and the correlation between the drug sensitivity and the risk score was also explored.</p><p><strong>Conclusion: </strong>This study reveals the significant value of TMGs in CRC prognostic assessment and immunotherapy response prediction, providing a new molecular basis for the development of individualized treatment strategies.</p>","PeriodicalId":11076,"journal":{"name":"Current topics in medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current topics in medicinal chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0115680266397024250710105241","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: The link between telomere length and Colorectal Cancer (CRC) risk and survival has been established. This study aims to investigate Telomere Maintenance-related Genes (TMGs) for predicting immunotherapy response and prognosis in CRC patients.
Methods: In this study, gene expression data and clinical information of CRC patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and TMG-related scores were calculated for the samples. Subsequently, Weighted Gene Co- Expression Analysis (WGCNA) was used to identify gene modules that were highly correlated with the TMG score and intersected with differentially expressed genes to screen for potential functionally relevant candidate genes. The key genes significantly associated with prognosis were further analyzed using Cox regression analysis, from which key genes were identified, and a risk score model was constructed. Finally, the survival prediction ability of the model was evaluated across multiple cohorts, and differences in immune cell infiltration characteristics and drug sensitivity were analyzed within different risk groups.
Results: A higher TMG score was noticed in CRC, and the TMG score was negatively correlated with the StromalScore, ImmuneScore, and ESTIMATEScore. Gene modules significantly associated with the TMG score were identified using WGCNA. Two key genes, CDC25C and USP39, which were closely associated with prognosis, were screened through differential expression analysis, and a risk score model was constructed. The model showed good survival prediction in both TCGA and GSE17537 independent cohorts. The scores of activated CD4 T cells, Type 17 T helper cells, Type 2 T helper cells, and neutrophils in the high-risk patients were lower, while the score of macrophages was higher in high-risk patients. Additionally, a negative correlation was observed between the risk score and the IC50 values of most drugs, as well as the enriched pathways of patients at high risk, which included epithelial-mesenchymal transition, angiogenesis, and myogenesis.
Discussion: This study unveiled a TMG-related signature that predicts prognosis and immunotherapy in CRC. Based on the 2 prognostically relevant genes CDC25C and USP39, a reliable risk score model was established for the prognostic prediction, and the correlation between the drug sensitivity and the risk score was also explored.
Conclusion: This study reveals the significant value of TMGs in CRC prognostic assessment and immunotherapy response prediction, providing a new molecular basis for the development of individualized treatment strategies.
期刊介绍：
Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to a specific topic, containing six to nine reviews, which provide the reader a comprehensive survey of that area. A Guest Editor who is an expert in the topic under review, will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. The study of how structure and function are related is absolutely essential to understanding the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight, and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important advances.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
