Abstract
BACKGROUND: Worldwide, cervical cancer is the fouth leading cause of deaths in gynecological oncology. Although the causes of cervical cancer have been extensively investigated, understanding of its exact pathogenesis remains incomplete. OBJECTIVE: This study aimed to identify alterations of genome and transcriptome of HPV associated cervical cancer pathogenesis using multi-omics approaches. METHODS: Cervical cancer and matched adjacent non-tumor specimens of one HPV16+ and two HPV- patients were sampled for whole-exome sequencing (WES) and RNA sequencing to characterize DNA mutations and gene expression profiles. WES and Affymetrix SNP 6.0 arrays data were analyzed from 6 HPV- and 93 HPV16+ cervical cancer patients in the cancer genome atlas (TCGA) database, as an independent validation group. RESULTS: WES identified 64 somatic mutation genes in tumors of 3 patients. HPV16+ tumor got fewer somatic mutated genes than HPV- tumors, which was validated by TCGA results. In this study, somatic mutated profile, CNV and gene expression heat map presented that HPV16+ tumors was distinct with HPV- tumors. The most significant altered pathways and GO terms were both related with cell cycle. Integrated analysis of multi-omics showed positive correlation between gene expression level and copy numbers. CONCLUSIONS: The results of this study provided novel insights into the pathogenesis of HPV associated cervical cancer.