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Screening of gastric cancer related molecules based on weighted gene co-expression network analysis |
XIAO Youde1 ZHENG Yongfa2 GE Wei1 |
1.Department of Oncology, Taikang Tongji (Wuhan) Hospital, Hubei Province, Wuhan 430000, China;
2.Department of Oncology, Renming Hospital of Wuhan University, Hubei Province, Wuhan 430000, China |
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Abstract Objective To screen out molecules related to the occurrence and prognosis of gastric cancer through weighted gene co-expression network analysis (WGCNA), so as to provide a reference for the treatment and prognosis of gastric cancer. Methods The gene expression profile and clinical data of gastric cancer patients were downloaded from the TCGA database, retrieval time was from the establishment to November 14, 2020. WGCNA was used to analyze gene expression in gastric cancer patients. The core target genes were screened and their functions were analyzed, and validation was performed using ONCOMINE and GEO databases. Results A total of 359 patients with gastric cancer were included. The BLUE module was associated with the occurrence and prognosis, CDC5L was acted as the core gene, and CDC5L was correlated with the occurrence and prognosis of gastric cancer. ONCOMINE database validation results showed that the expression of CDC5L in cancer tissues was higher than that in adjacent tissues (P < 0.01). GEO database validation results showed that patients with low expression of CDC5L had better prognosis. Conclusion CDC5L is associated with the occurrence and prognosis in gastric cancer patients, and it can provide reference for the study of the occurrence, metastasis and treatment of gastric cancer.
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