Bioinformatics-based study of key genes and functional pathways of HPV-induced cervical cancer
Objective To investigate the key genes and functional pathways of HPV-induced cervical cancer.Methods Based on transcriptome sequencing data of 306 patients with cervical cancer from Cancer Genome Atlas(TCGA)and 41 patients from Gene Expression Omnibus(GEO)database,the differentially expressed genes(DEG)were screened by differential analysis,and DEG were enriched and analyzed using Gene Ontology(GO)and Kyoto Encyclopedia of Genes(KEGG).The weighted gene co-expression network(WGCNA)was used for modular analysis to screen HPV and tumor highly correlated.After intersection with DEG,the prognostic factors were screened by survival analysis,the prognostic risk model was constructed by the least absolute shrinkage and selection operator(LASSO),and the multivariate Cox regression analysis was used to screen independent prognostic factors.Results A total of 1 044 DEG were screened out from 10 patients with HPV infection and 20 patients with cervical cancer in GEO dataset GSE67522,which included 587 up-regulated genes and 457 down-regulated genes.The results of WGCNA showed that the blue module was highly correlated with HPV and tumor,and 88 common genes were obtained by inter-section of DEG and blue module genes.The survival analysis results showed that there were 10 prognostic genes,and prognostic risk model was constructed by LASSO for those 10 prognostic genes.The univariate and multivariate Cox results showed that ANLN was an independent prognostic factor for HPV-induced cervical cancer.Conclusion It is demonstrated that the study provides prognostic value of risk model for HPV-induced cervical cancer and novel target for cervical cancer treatment.
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