ArticleTranslational cancer research2024
Telomere-related gene risk model for prognosis prediction in colorectal cancer.
Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Prognostic model construction and drug prediction in colorectal cancer using mitochondrial programmed cell death-related genes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Prognostic implications and molecular mechanisms of derived organoid-angiogenesis-related genes (DOARGs) in colorectal cancer.Journal of physiology and biochemistry · 2026Article
- Telomere-driven dysfunctional changes in gynecological cancers: mechanistic insights, biomarker potential, and therapeutic targeting.Frontiers in cell and developmental biology · 2026Review
- Integrating prognosis-related genes with immune-related gene signature for development and validation of a survival stratification model for early-stage colorectal cancer.Translational cancer research · 2025Article
- Exploration of telomere-related biomarkers for lung adenocarcinoma and targeted drug prediction.Discover oncology · 2025Article
- Telomere Maintenance-Related Genes are Essential for Prognosis in Breast Cancer.Breast cancer (Dove Medical Press) · 2025Article
- A Novel Mitochondria-Associated Programmed Cell Death-Related Prognostic Model and Validation of Oncogene INHBB in Colorectal Cancer.International journal of genomics · 2025Article
- Construction and Clinical Validation of a Colorectal Cancer OPISV Prognostic Model Integrating EPHB2 and ZNF346: Potential Regulatory Role of the Axon Guidance Pathway.Technology in cancer research & treatmentArticle
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Authors and funding
6 authors.
Funding
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Abstract
Background: Colorectal cancer (CRC) is the third-most prevalent cancer globally. The biological significance of telomeres in CRC carcinogenesis and progression is underscored by accumulating data. Nevertheless, not much is known about how telomere-related genes (TRGs) affect CRC prognosis. Therefore, the aim of this study was to investigate the role of TRGs in CRC prognosis. Methods: We retrospectively obtained the expression profiles and clinical data of CRC patients from public databases. Utilizing least absolute shrinkage and selection operator (LASSO) regression analysis, we created a telomere-related risk model to predict survival outcomes, identifying ten telomere-related differentially expressed genes (TRDEGs). Based on TRDEGs, we stratified patients from The Cancer Genome Atlas (TCGA) into low- and high-risk subsets. Subsequently, we conducted comprehensive analyses, including survival assessment, immune cell infiltration, drug sensitivity, and prediction of molecular interactions using Kaplan-Meier curves, ESTIMATE, CIBERSORT, OncoPredict, and other approaches. Results: The model showed exceptional predictive accuracy for survival. Significant differences in survival were observed between the two groups of participants grouped according to the model (P<0.001), and this difference was further confirmed in the external validation set (GSE39582) (P=0.004). Additionally, compared to the low-risk group, the high-risk group exhibited significantly advanced tumor node metastasis (TNM) stages, lower proportions of activated CD4 Conclusions: Overall, we constructed a telomere-related biomarker capable of predicting prognosis and treatment response in CRC individuals, offering potential guidance for drug therapy selection and prognosis prediction.
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