Proteogenomic characterization of human uterine cervical cancer

We report a proteogenomic analysis of human cervical cancer. Mutation-phosphorylation correlations revealed associations of proliferation and invasion-related signaling pathways with somatic mutations in significantly mutated genes. mRNA-protein abundance correlations identified molecules with tumor promoting or suppressing functions correlating with patient survival. Integrated clustering of mRNA, protein, and phosphorylation data provided six subtypes (Sub1-6) of cervical cancer. Compared with the previous subtypes identified from transcriptome data, protein data further identified subgroups of squamous carcinoma and adenocarcinoma based on stromal and immune characteristics. In the squamous subgroups, Sub4 showed higher T-cell immunity than Sub5, and myeloid-derived suppressive... (for more see dbGaP study page.)