In the current study, we integrated multi-omics data including somatic mutation, CNV, DNA methylation, and miRNA profile, depicted a comprehensive genomic landscape of cervical cancer, and then performed molecular classification, finally identifying driver genes, such as GPR107, ZBTB20, NCAPH2, and SLC25A5. Here, SLC25A5 is linked to cervical carcinoma.