ArticleBiochemical genetics2024
Construction of a Cuproptosis-Related Gene Signature for Predicting Prognosis in Gastric Cancer.
Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- SERPINE1-Driven MAPK Activation Enhances Cuproptosis Resistance and Angiogenic Potential in Colorectal Cancer.Digestive diseases and sciences · 2026Article
- Cuproptosis scoring system identifies novel molecular subtypes and modulates biological behavior in breast cancer.Discover oncology · 2025Article
- Comprehensive analysis of cuproptosis and m6A-Target gene signatures for diagnostic significance and immune microenvironment characterization in polycystic ovary syndrome.Scientific reports · 2025Article
- Comprehensive analysis of mRNA expression of Piezo1 and Piezo2 in tumor samples and their prognostic implications in gastric cancer.Discover oncology · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
This study aimed to develop and validate a cuproptosis-related gene signature for the prognosis of gastric cancer. The data in TCGA GC TPM format from UCSC were extracted for analysis, and GC samples were randomly divided into training and validation groups. Pearson correlation analysis was used to obtain cuproptosis-related genes co-expressed with 19 Cuproptosis genes. Univariate Cox and Lasso regression analyses were used to obtain cuproptosis-related prognostic genes. Multivariate Cox regression analysis was used to construct the final prognostic risk model. The risk score curve, Kaplan-Meier survival curves, and ROC curve were used to evaluate the predictive ability of Cox risk model. Finally, the functional annotation of the risk model was obtained through enrichment analysis. Then, a six-gene signature was identified in the training cohort and verified among all cohorts using Cox regression analyses and Kaplan-Meier plots, demonstrating its independent prognostic significance for gastric cancer. In addition, ROC analysis confirmed the significant predictive potential of this signature for the prognosis of gastric cancer. Functional enrichment analysis was mainly related to cell-matrix function. Therefore, a new cuproptosis-related six-gene signature (ACLY, FGD6, SERPINE1, SPATA13, RANGAP1, and ADGRE5) was constructed for the prognosis of gastric cancer, allowing for tailored prediction of outcome and the formulation of novel therapeutics for gastric cancer patients.
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