Clinical epigenetics · 2025
A multi-omics prognostic model of cuproptosis affects the prognosis of stomach adenocarcinoma.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Wu Yinying, Fan Yangwei, Dong Xuyuan, Dong Danfeng, Shi Yu, Wang Meichen, Wang Jia, Yang Yuqian, Yang Nan, Ou Fengyun, Li Enxiao
Аннотация
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.
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.