基于竞争性内源RNA网络探讨豆甾醇干预肺鳞癌的作用机制

doi:10.3969/j.issn.1004-616x.2020.06.003

Abstract

Abstract: OBJECTIVE: To mine the TCGA database and to identify regulatory network(s) which are related to lung squamous cell carcinoma (LUSC) and to drug actions. METHODS: Bioinformatics and network pharmacology methods were used on the following tasks:TCGA RNA-seq data,WGCNA analysis,differential expression analysis,GO analysis,PPI analysis and screening of core genes. Collected data were used to construct ceRNA network and molecular docking which were employed to analyze mechanisms of stigmasterol action on LUSC. RESULTS: A total of 801 genes with high reliability were identified by WGCNA combined with differential expression analysis. These genes were found to be involved with chromosome segregation,mitosis,chromosome centromere region,etc. Based on PPI analyses,the first 10 key genes (CDC20,BUB1,CCNB2,BUB1B,CDK1,CCNB1,KIF2C,NDC80,CDCA8,CENPF) were closely related to the survival rates. Finally,the ceRNA network of CDCA8 and its upstream miRNA hsa-let-7b-5p and associated 14 lncRNAs were constructed. Stigmasterol and CDCA8 docked well. CONCLUSION: Our data indicate that competitive regulation of CDCA8 by 14 lncRNAs and hsa-let-7b-5p played an important role in the occurrence and development of LUSC and that the mechanism involved stigmasterol intervention in LUSC.

Key words: lung squamous cell carcinoma, weighted gene coexpression network, ceRNA, molecular docking, stigmasterol

CLC Number:

R730.2

LI Jinglei, HOU Wei. ceRNA network-based stigmasterolintervention on lung squamous cell carcinoma[J]. Carcinogenesis, Teratogenesis & Mutagenesis, 2020, 32(6): 423-429.

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ceRNA network-based stigmasterolintervention on lung squamous cell carcinoma

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