{"title":"A multi-omics prognostic model of cuproptosis affects the prognosis of stomach adenocarcinoma.","authors":"Yinying Wu, Yangwei Fan, Xuyuan Dong, Danfeng Dong, Yu Shi, Meichen Wang, Jia Wang, Yuqian Yang, Nan Yang, Fengyun Ou, Enxiao Li","doi":"10.1186/s13148-025-01894-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cuproptosis, a form of cell death associated with copper ions, has been linked to the pathogenesis of various cancers, including gastric cancer. Investigating the role of cuproptosis-related genes through multi-omics analysis can enhance our understanding of disease mechanisms and improve prognosis prediction.</p><p><strong>Objective: </strong>This study aims to elucidate the role of cuproptosis-related genes in gastric cancer from a multi-omics perspective.</p><p><strong>Materials and methods: </strong>We utilized multi-omics sequencing data from TCGA and GEO databases to explore the relationships between cuproptosis genes and gastric carcinogenesis, clinical phenotypes, and prognosis. This analysis encompassed mutation, copy number variation, methylation, mRNA expression, alternative splicing, and APA alterations. Additionally, we examined the regulatory roles of cuproptosis genes in gastric cancer through ceRNA interactions, gene mutations, and DNA methylation. A multi-omics prognostic model for gastric cancer was subsequently constructed.</p><p><strong>Results: </strong>Our findings revealed that CDKN2A was the most frequently mutated gene in gastric cancer. Overall mutations in cuproptosis genes and copy number alterations of PDHB significantly impacted gastric cancer prognosis. Methylation, alternative splicing, and APA alterations of CDKN2A also influenced patient outcomes. Notably, MTF1, a key gene in cuproptosis, was found to affect apoptosis and invasion in gastric cancer cell lines.</p><p><strong>Conclusion: </strong>We successfully developed a multi-omics prognostic model for gastric cancer that offers significant predictive value for patient outcomes.</p>","PeriodicalId":10366,"journal":{"name":"Clinical Epigenetics","volume":"17 1","pages":"99"},"PeriodicalIF":4.8000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12160351/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epigenetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13148-025-01894-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Cuproptosis, a form of cell death associated with copper ions, has been linked to the pathogenesis of various cancers, including gastric cancer. Investigating the role of cuproptosis-related genes through multi-omics analysis can enhance our understanding of disease mechanisms and improve prognosis prediction.
Objective: This study aims to elucidate the role of cuproptosis-related genes in gastric cancer from a multi-omics perspective.
Materials and methods: We utilized multi-omics sequencing data from TCGA and GEO databases to explore the relationships between cuproptosis genes and gastric carcinogenesis, clinical phenotypes, and prognosis. This analysis encompassed mutation, copy number variation, methylation, mRNA expression, alternative splicing, and APA alterations. Additionally, we examined the regulatory roles of cuproptosis genes in gastric cancer through ceRNA interactions, gene mutations, and DNA methylation. A multi-omics prognostic model for gastric cancer was subsequently constructed.
Results: Our findings revealed that CDKN2A was the most frequently mutated gene in gastric cancer. Overall mutations in cuproptosis genes and copy number alterations of PDHB significantly impacted gastric cancer prognosis. Methylation, alternative splicing, and APA alterations of CDKN2A also influenced patient outcomes. Notably, MTF1, a key gene in cuproptosis, was found to affect apoptosis and invasion in gastric cancer cell lines.
Conclusion: We successfully developed a multi-omics prognostic model for gastric cancer that offers significant predictive value for patient outcomes.
期刊介绍:
Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.