Xie Xian-Ze, Zuo Lei, Huang Wei, Fan Qiao-Mei, Weng Ya-Yun, Yao Wen-Dong, Jiang Jia-Li, Jin Jia-Qi
Department of Pharmacy, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou 310018, Zhejiang Province, China.
Anhui Province Huainan City Shou County Agricultural Machinery Affairs Management Center, Huainan 232200, Anhui Province, China.
World J Gastrointest Surg. 2024 Jun 27;16(6):1803-1824. doi: 10.4240/wjgs.v16.i6.1803.
Stomach adenocarcinoma (STAD) is one of the main reasons for cancer-related deaths worldwide. This investigation aimed to define the connection between STAD and Cuproptosis-related genes (CRGs). Cuproptosis is a newly identified form of mitochondrial cell death triggered by copper.
To explore the identification of potential biomarkers for STAD disease based on cuproptosis.
A predictive model using Gene Ontology (GO), Least Absolute Shrinkage and Selection Operator (LASSO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Variation Analysis (GSVA), and Gene Set Enrichment Analysis analyzed gene interconnections, focusing on 3 copper-related genes and their expression in The Cancer Genome Atlas-STAD. Networks for mRNA-miRNA and mRNA-transcription factor interactions were constructed. The prognostic significance of CRG scores was evaluated using time-receiver operating characteristic, Kaplan-Meier curves, and COX regression analysis. Validation was conducted with datasets GSE26942, GSE54129, and GSE66229. Expression of copper-related differentially expressed genes was also analyzed in various human tissues and gastric cancer subpopulations using the human protein atlas.
Three significant genes (, , ) were identified and selected LASSO analysis to predict and classify individuals with STAD into high and low CRG score subgroups. These genes were down-regulated in both risk categories. GO and KEGG analyses highlighted their involvement mainly in the electron transport chain. After validating their differential expression, emerged as the most accurate diagnostic marker for gastric cancer. Additionally, the RCircos package localized on chromosome 11.
Our study revealed that could be a potential biomarker and treatment target for gastric malignancy, providing new ideas for further scientific research.
胃腺癌(STAD)是全球癌症相关死亡的主要原因之一。本研究旨在确定STAD与铜死亡相关基因(CRGs)之间的联系。铜死亡是一种新发现的由铜引发的线粒体细胞死亡形式。
基于铜死亡探索STAD疾病潜在生物标志物的鉴定。
使用基因本体论(GO)、最小绝对收缩和选择算子(LASSO)、京都基因与基因组百科全书(KEGG)、基因集变异分析(GSVA)和基因集富集分析构建预测模型,分析基因间的相互联系,重点关注3个与铜相关的基因及其在癌症基因组图谱 - STAD中的表达。构建mRNA - miRNA和mRNA - 转录因子相互作用网络。使用时间 - 接受者操作特征、 Kaplan - Meier曲线和COX回归分析评估CRG评分的预后意义。使用数据集GSE26942、GSE54129和GSE66229进行验证。还使用人类蛋白质图谱分析了铜相关差异表达基因在各种人体组织和胃癌亚群中的表达。
通过LASSO分析鉴定并选择了三个重要基因( , , ),以预测STAD个体并将其分为高CRG评分亚组和低CRG评分亚组。这三个基因在两个风险类别中均下调。GO和KEGG分析突出了它们主要参与电子传递链。在验证它们的差异表达后, 成为胃癌最准确的诊断标志物。此外,RCircos软件包将 定位在11号染色体上。
我们的研究表明, 可能是胃恶性肿瘤的潜在生物标志物和治疗靶点,为进一步的科学研究提供了新思路。