biostudies-literatureDing WChangzhou Sci &amp; Tech Program8538240https://www.ebi.ac.uk/biostudies/studies/S-EPMC9908346biostudies-literatureUnknown2023<h4>Background</h4>The relationship between <i>H. pylori</i> infection and gastric cancer (GC) has been widely studied, and <i>H. pylori</i> is considered as the main factor. Utilizing bioinformatics analysis, this study examined gene signatures related to progressing <i>H. pylori</i>-associated GC.<h4>Materials and methods</h4>The dataset GSE13195 was chosen to search for abnormally expressed genes in <i>H. pylori</i>-associated GC and normal tissues. The TCGA-STAD database was chosen to verify the expression of key genes in GC and normal tissues.<h4>Results</h4>In GSE13195, a total of 332 differential expression genes (DEGs) were screened. The results of weighted gene co-expression network analysis showed that the light cyan, plum2, black, and magenta4 modules were associated with stagesJournal of oncologyIdentification and Analysis of Crucial Genes in <i>H</i>. <i>pylori</i>-Associated Gastric Cancer Using an Integrated Bioinformatics Approach.PMC9908346Z2019027CZQM2021028CJ20210013XYFY20200162022CZBJ105CZQM2020118CJ20220008Ding WXue WYe NJiang HTan YZhuang LXu XYuan ZfalseIdentification and Analysis of Crucial Genes in <i>H</i>. <i>pylori</i>-Associated Gastric Cancer Using an Integrated Bioinformatics Approach.<h4>Background</h4>The relationship between <i>H. pylori</i> infection and gastric cancer (GC) has been widely studied, and <i>H. pylori</i> is considered as the main factor. Utilizing bioinformatics analysis, this study examined gene signatures related to progressing <i>H. pylori</i>-associated GC.<h4>Materials and methods</h4>The dataset GSE13195 was chosen to search for abnormally expressed genes in <i>H. pylori</i>-associated GC and normal tissues. The TCGA-STAD database was chosen to verify the expression of key genes in GC and normal tissues.<h4>Results</h4>In GSE13195, a total of 332 differential expression genes (DEGs) were screened. The results of weighted gene co-expression network analysis showed that the light cyan, plum2, black, and magenta4 modules were associated with stages2023-01-01T00:00:00Z20232026-03-15T14:00:21.016Z2025-04-19T04:46:26.12ZS-EPMC99083463677891910.1155/2023/8538240