Effect of helicobacter pylori infection in gastric cancer

Shiyu Wang, De-Jun Yuan, Fanghong Gu
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Abstract

Objective To investigate the difference between gastric cancer samples without helicobacter pylori infection and gastric cancer samples infected with helicobacter pylori in gastric cancer samples. Methods Data of gastric cancer gene expression(MRNA)in TCGA database were extracted.According to the presence or absence of helicobacter pylori infection in gastric cancer samples, the samples were divided into two groups.The expression data was compared by edgeR algorithm and the differential genes were obtained.And then the two groups of different genes were analyzed by enrichment.Finally, the results of enrichment analysis were compared between the two groups to find the difference between the gastric cancer samples without helicobacter pylori infection and the gastric cancer samples infected with helicobacter pylori infection. Results The KEGG database showed that there were significant differences in metabolic pathways, protein digestion and uptake, fat digestion and uptake, gastric acid secretion, pancreatic secretion, cAMP signaling pathway, and vascular smooth muscle contraction in gastric cancer samples without helicobacter pylori infection(P<0.000 01). There was a significant difference in the cytokine-cytokine receptor interaction with gastric cancer samples with helicobacter pylori infection(P<0.000 01). Conclusion Helicobacter pylori infection promotes the abnormalities of cytokine-cytokine receptor interactions.There may be two different gastric cancer, respectively, for the metabolic pathway, protein digestion and absorption, fat digestion and absorption, gastric acid secretion, pancreatic secretion, cAMP signaling pathway, vascular smooth muscle contraction and cytokine-cytokine receptor Interaction has an impact. Key words: Gastric cancer; Helicobacter pylori; EdgeR algorithm
幽门螺杆菌感染对胃癌的影响
目的探讨癌症标本中无幽门螺杆菌感染的癌症标本与感染幽门螺杆菌的癌症标本的差异。方法提取TCGA数据库中癌症基因表达数据。根据癌症标本中是否存在幽门螺杆菌感染,将标本分为两组。用edgeR算法对表达数据进行比较,得到差异基因。然后对两组不同的基因进行富集分析。最后,将两组的富集分析结果进行比较,以发现未感染幽门螺杆菌的癌症样本与感染幽门螺杆杆菌的癌症样本之间的差异。结果KEGG数据库显示,在未感染幽门螺杆菌的癌症样本中,代谢途径、蛋白质消化和摄取、脂肪消化和摄取以及胃酸分泌、胰腺分泌、cAMP信号通路和血管平滑肌收缩均存在显著差异(P<0.000 01)。细胞因子-细胞因子受体相互作用与幽门螺杆菌感染的癌症标本有显著性差异(P<0.00001)。结论幽门螺杆菌感染促进细胞因子-细胞因子-受体相互作用异常。癌症可能存在两种不同的代谢途径,分别对蛋白质消化吸收、脂肪消化吸收、胃酸分泌、胰腺分泌、cAMP信号通路、血管平滑肌收缩和细胞因子-细胞因子受体相互作用有影响。关键词:癌症;幽门螺杆菌;EdgeR算法
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