Scholarlink

Stomach cancer (SC) is a tough and fast-moving disease that affects many people worldwide. It’s hard to catch early because it often shows no signs at first, leading to delays in diagnosis and high death rates. This study looks into the main genes behind stomach cancer and how they might be linked to other common health problems. We identified genes that behave differently in cancer using the Kruskal-Wallis test and Bonferroni correction using gene data from The Cancer Genome Atlas (TCGA). The Kruskal-Wallis test and Bonferroni correction were used to identify genes that behave differently in cancer using gene data from The Cancer Genome Atlas (TCGA). We have identified 15 genes out of 20,531, 10 of which were down-regulated and 5 of which were up-regulated. We also used gene function and pathway tools. We constructed protein-protein interactions (PPI) and protein-drug interactions (PDI) to predict the functions of these influential genes. We also searched trustworthy databases for associations between diseases and found that stomach cancer is associated with liver cancer, heart disease, and brain issues. This article gives a general review of stomach cancer and makes recommendations for innovative methods of early detection, the creation of useful indicators and targeted treatment development.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Network-Based Approaches and Gene Expression Profiling to Identify the Molecular Mechanism of Stomach Cancer

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Md Naeem Mia,
  • Nitun Kumar Podder,
  • S. M. Mehdi Hasan Zim,
  • Md Raihanul Haque,
  • Rajesh Ghosh

摘要

Stomach cancer (SC) is a tough and fast-moving disease that affects many people worldwide. It’s hard to catch early because it often shows no signs at first, leading to delays in diagnosis and high death rates. This study looks into the main genes behind stomach cancer and how they might be linked to other common health problems. We identified genes that behave differently in cancer using the Kruskal-Wallis test and Bonferroni correction using gene data from The Cancer Genome Atlas (TCGA). The Kruskal-Wallis test and Bonferroni correction were used to identify genes that behave differently in cancer using gene data from The Cancer Genome Atlas (TCGA). We have identified 15 genes out of 20,531, 10 of which were down-regulated and 5 of which were up-regulated. We also used gene function and pathway tools. We constructed protein-protein interactions (PPI) and protein-drug interactions (PDI) to predict the functions of these influential genes. We also searched trustworthy databases for associations between diseases and found that stomach cancer is associated with liver cancer, heart disease, and brain issues. This article gives a general review of stomach cancer and makes recommendations for innovative methods of early detection, the creation of useful indicators and targeted treatment development.