作者: Xiaohui Yang , Ze Zhang , Lichao Zhang , Li Zhou
DOI: 10.1038/S41598-020-61633-8
关键词:
摘要: Gastric carcinoma (GC) refers to a common digestive system disease that exhibits very high incidence. MicroRNA hsa-mir-3923 belongs type of miRNA, which the function has been merely investigated in breast, pancreatic cancers and pre-neoplasic stages gastric cancer. It not studied or reported carcinoma, so relationship between expression clinics feature pathology GC cases was examined. This study employed data mining for analyzing The Cancer Genome Atlas database. A Chi squared test performed assessing relations with clinics-related pathology-regulated variables. conducted assessment role prognostic process using Kaplan-Meier curves, Receiver operating characteristic (ROC) analysis proportional hazards model (Cox) study. With use Gene Expression Omnibus, this carried out gene set enrichment (GSEA). In meantime, miRNA database compared predict potential target genes; as revealed by co-expression analysis, regulatory network probably existed, containing hsa-mir-3923. For most tightly associated cytological behavior pathway GC, adopted databases Annotation, Visualization Integrated Discovery (David) KO-Based Annotation System (KOBAS). Cytoscape, R STRING were mapping probable networks displaying Lastly, we obtained 69 genes described their Circos plot. As from results, displayed up-regulation it associations vital status, N stage histologic grade when being expressed. predicted results suggested there may be close 66 indicated data, small regulating 4 existed. Our elucidated high-expression reveals poor prognosis patients.