1. Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer
- Author
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Xinlu Wang, Kaili Liao, Guanyu Zhang, Xiaozhong Wang, Jiasheng Xu, Yanhua Wan, Qiwen Ke, and Kaihua Zhang
- Subjects
0301 basic medicine ,Adult ,Male ,Carcinogenesis ,Molecular biology ,Science ,Computational biology ,Biology ,Adenocarcinoma ,Collagen Type I ,Article ,Metastasis ,Extracellular matrix ,03 medical and health sciences ,0302 clinical medicine ,Stomach Neoplasms ,Databases, Genetic ,medicine ,Biomarkers, Tumor ,Humans ,Gene Regulatory Networks ,Protein Interaction Maps ,Receptor ,Gene ,Oligonucleotide Array Sequence Analysis ,Multidisciplinary ,Gene Expression Profiling ,Integrin beta1 ,Cancer ,Computational Biology ,Middle Aged ,medicine.disease ,Prognosis ,Survival Analysis ,Gene Expression Regulation, Neoplastic ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Immunohistochemistry ,Medicine ,Female ,DNA microarray ,Signal transduction ,Transcriptome - Abstract
To screen the key genes in the development of gastric cancer and their influence on prognosis. The GEO database was used to screen gastric cancer-related gene chips as a training set, and the R packages limma tool was used to analyze the differential genes expressed in gastric cancer tissues compared to normal tissues, and then the selected genes were verified in the validation set. The String database was used to calculate their Protein–protein interaction (PPI) network, using Cytoscape software's Centiscape and other plug-ins to analyze key genes in the PPI network. The DAVID database was used to enrich and annotate gene functions of differential genes and PPI key module genes, and further explore correlation between expression level and clinical stage and prognosis. Based on clinical data and patient samples, differential expression of key node genes was verified by immunohistochemistry. The 63 characteristic differential genes screened had good discrimination between gastric cancer and normal tissues, and are mainly involved in regulating extracellular matrix receptor interactions and the PI3k-AKT signaling pathway. Key nodes in the PPI network regulate tumor proliferation and metastasis. Analysis of the expression levels of key node genes found that relative to normal tissues, the expression of ITGB1 and COL1A2 was significantly increased in gastric cancer tissues, and patients with late clinical stages of tumors had higher expression of ITGB1 and COL1A2 in tumor tissues, and their survival time was longer (P
- Published
- 2021