机构：[1]Department of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, China河北医科大学第四医院外三科临床科室[2]Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute, Beijing, China[3]Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China[4]The Second Hospital of Shijiazhuang, Shijiazhuang, China[5]Hebei General Hospital, Shijiazhuang, China
Background. Gastric cancer is one of the most common malignant cancers worldwide. Despite substantial developments in therapeutic strategies, the five-year survival rate remains low. Therefore, novel biomarkers and therapeutic targets involved in the progression of gastric tumors need to be identified. Methods. We obtained the mRNA microarray datasets GSE65801, GSE54129 and GSE79973 from the Gene Expression Omnibus database to acquire differentially expressed genes (DEGs). We used the Database for Annotation, Visualization, and Integrated Discovery (DAVID) to analyze DEG pathways and functions, and the Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape to obtain the protein-protein interaction (PPI) network. Next, we validated the hub gene expression levels using the Oncomine database and Gene Expression Profiling Interactive Analysis (GEPIA), and conducted stage expression and survival analysis. Results. From the three microarray datasets, we identified nine major hub genes: COL1A1, COL1A2, COL3A1, COL5A2, COL4A1, FN1, COL5A1, COL4A2, and COL6A3. Conclusion. Our study identified COL1A1 and COL1A2 as potential gastric cancer prognostic biomarkers.
第一作者机构：[1]Department of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
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推荐引用方式(GB/T 7714)：
Li Zhaoxing,Liu Zhao,Shao Zhiting,et al.Identifying multiple collagen gene family members as potential gastric cancer biomarkers using integrated bioinformatics analysis[J].PEERJ.2020,8:doi:10.7717/peerj.9123.
APA：
Li, Zhaoxing,Liu, Zhao,Shao, Zhiting,Li, Chuang,Li, Yong...&Liu, Yu.(2020).Identifying multiple collagen gene family members as potential gastric cancer biomarkers using integrated bioinformatics analysis.PEERJ,8,
MLA：
Li, Zhaoxing,et al."Identifying multiple collagen gene family members as potential gastric cancer biomarkers using integrated bioinformatics analysis".PEERJ 8.(2020)
