Abstract：In order to analyze the differentially expressed genes (DEGs) between cervical squamous cell car-cinoma (CESC) and normal tissues to identify the key genes related to the prognosis of CESC, the mRNA ex-pression profile data set of CESC was downloaded from GEO and TCGA databases. The DEGs in CESC and normal tissues were screened by R software, and further functional and pathway enrichment analysis was carried out. Then, the protein-protein interaction (PPI) network was constructed to screen the key (hub) genes. Finally, the hub genes were analyzed by LASSO COX regression and overall survival (OS). The results showed that a total of 167 DEGs were screened. DEGs were mainly involved in chromosome separation, DNA replication and other biological processes, mediating chromatin binding, G protein-coupled receptor binding and other molecular functions, and enriched in chromosome region, spindle and MCM complex. GSEA analysis showed that the enriched pathways were mainly related to DNA replication and cell cycle signaling pathway. Twenty hub genes were selected from the PPI network, and LASSO COX regression results showed that MAD2L1, ZWINT, RRM2, TTK, CDC6, PBK, TOP2A, KIF11, KIF20A, NCAPG, NUSAP1, CCNB1 and CDK1 were associated with the prognosis of CESC patients. Kaplan-Meier curves showed that the mRNA expression levels of ZWINT, DTL, CCNB1, CDC6, TOP2A, CDK1, PBK, RFC4 and NUSAP1 were associated with the survival prognosis of CESC patients. These results indicated that ZWINT, CDC6, PBK, TOP2A, NUSAP1, CCNB1 and CDK1 may be prognostic key genes in CESC. This provides theoretical basis for elucidating the molecular mechanism of CESC.
引用本文:
曲木金作. 基于生物信息学分析的宫颈鳞状细胞癌预后相关基因的筛选[J]. 生命科学研究, 2020, 24(4): 284-292.
QUMU Jin-zuo. Screening of Prognostic Genes in Cervical Squamous Cell Carcinoma Based on Bioinformatics Analysis. Life Science Research, 2020, 24(4): 284-292.
