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Research on the Factors that Affecting the Occurrence of Gastric Cancer Based on NCBI Gene Expression Omnibus Database

机译:基于NCBI基因表达的胃癌发生的因素研究

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In this study, bioinformatics methods were used to screen key genes related to gastric cancer and the involved signaling pathways, and to explore relevant indicators of the occurrence and development of gastric cancer. The source data was downloaded from the Gene Expression Omnibus (GEO) of the National Center for Biotechnology Information (NCBI), and the differentially expressed genes were obtained using the GE02R platform. These genes were then subjected to gene ontology (GO) biological process analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, KM-Plotter was used to analyze the effect of key genes on the survivorship curve of patients with gastric cancer. As a result, 744 differentially expressed genes were obtained, and genes related to the development and progression of gastric cancer were newly discovered: CELA3B and KCNJ16. Gastric cancer is one of the most common malignant tumors in the world, which is a serious threat to human health. According to the article of the China Anti-cancer Association The past and present life of Helicobacter pylori, there are 1,034,000 new cases of global cancer and 783,000 deaths in 2018. China is a country with high incidence of gastric cancer, and nearly half of the world's new cases of gastric cancer and deaths occur in China. There are many factors affecting the occurrence of gastric cancer, but this paper argues that in addition to life and work habits, the incidence of gastric cancer depends on the patient's genes. Under the combined effects of differential expression and special structure of many genes, it eventually leads to the occurrence of gastric cancer. The author of this essay will use the rich gene resources in the gene expression Omnibus (GEO) of the National Center for Biotechnology Information (NCBI) to screen, analyze, process and summarize the genes related to gastric cancer, explore its characteristics and significance and propose a new perspective on gastric cancer.
机译:在本研究中,生物信息学方法用于筛选与胃癌和所涉及的信号通路相关的关键基因,并探讨胃癌的发生和发展相关指标。从国家生物技术信息(NCBI)的国家中心的基因表达式(Geo)下载源数据,使用GE02R平台获得差异表达的基因。然后对这些基因进行基因本体(GO)生物学过程分析和基因和基因组(KEGG)途径分析的京都百科全书。最后,KM-绘图仪用于分析关键基因对胃癌患者生存曲线的影响。结果,获得了744个差异表达的基因,新发现了与胃癌的发育和进展相关的基因:CELA3B和KCNJ16。胃癌是世界上最常见的恶性肿瘤之一,这是对人类健康的严重威胁。根据中国抗癌协会的文章过去和目前的幽门螺杆菌生活,2018年有1,034,000例全球癌症和783,000人死亡。中国是胃癌发病率高的国家,近一半中国胃癌和死亡的新病例发生在中国。有许多因素影响胃癌的发生,但本文认为,除了生命和工作习惯之外,胃癌的发生率取决于患者的基因。在许多基因的差异表达和特殊结构的综合影响下,最终导致胃癌的发生。本文的作者将在国家生物技术信息(NCBI)的基因表达综合(GEO)中使用丰富的基因资源,以筛选,分析,处理和总结与胃癌有关的基因,探讨其特点和意义和重要性提出了一种关于胃癌的新视角。

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