ObjectiveTo screen gastric the cancer-related key genes by using bioinformatics, and to investigate the clinical value of the key genes. Methods(1) A total of 3 datasets of gene chips related to human gastric cancer were obtained from the GEO database, and the online analyzer GEO2R was used to acquire differentially expressed genes (DEGs). For DEGs common to all 3 datasets, the DAVID database was employed to perform enrichment analysis, and after the establishment of protein-protein interaction (PPI) network by the STRING database, the key genes were screened through the Cytoscape 3.9.1 software. (2) Cancerous tissues and paracancerous normal tissues of 20 patients with gastric cancer were collected, and expressions of the key genes were detected by using the real-time fluorescent quantitative PCR. The GEPIA2 database was employed to analyze expression differences of the key genes between gastric cancerous tissues and paracancerous normal tissues, and between patients with gastric cancer in different pathological stages. The Kaplan-Meier Plotter database was used to analyze survival status of patients with gastric cancer in different expressions of the key genes. Results(1) A total of 461 common DEGs were obtained, including 190 up-regulated DEGs and 271 down-regulated DEGs, and these DEGs were mainly involved in biological processes with respect to extracellular matrix formation, collagen fiber, cell-matrix adhesion, etc., mainly enriched in signaling pathways in terms of extracellular matrix-receptor interaction, protein digestion and absorption, and focal adhesion, etc. Five key genes were screened in total, containing COL4A1, COL4A2, LUM, COL6A3, and SPARC. (2) The validation results of real-time fluorescent quantitative PCR and GEPIA2 database revealed that expressions of the five key genes in gastric cancerous tissues were higher than those in paracancerous normal tissues, and LUM, COL6A3, and SPARC expressions were related to pathological stages in patients with gastric cancer (P<0.05). The analysis results of Kaplan-Meier Plotter database presented that high expressions of COL4A1, COL4A2, COL6A3, SPARC, and low expression of LUM correlated with adverse prognosis of patients with gastric cancer (P<0.05). ConclusionCOL4A1, COL4A2, LUM, COL6A3, and SPARC genes may play a key role in the occurrence and development of gastric cancer, which may be regarded as potential molecular markers for gastric cancer.