Abstract

Locally advanced uterine cervical cancer (UCC) is treated by radiotherapy with concurrent chemotherapy, but heterogenous treatment responses are frequently observed. To better optimize therapeutic options based on molecular signatures, we performed proteogenomic analysis of UCC. UCC tissue and blood samples were collected from patients who underwent primary radiotherapy ± chemotherapy at the National Cancer Center (NCC) in Korea from July 2004 to March 2020. Most samples were obtained via biopsy. Genomic DNA for WES was isolated from frozen biopsy tumor tissues and peripheral blood buffy-coat of patients. Both global proteome and phosphoproteome were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Whole exome sequencing, RNA sequencing, global proteomics and phosphoproteomics were performed using 253, 337, and 147 cervical cancer samples, respectively. Patient-derived xenograft were established using intratongue implantation using 2 primary cell lines from sub3 and sub5, and flow cytometric analysis was performed. Fourteen significantly mutated genes (SMG) were found in our study cohort which include 5 newly identified SMGs. Mutation-phosphorylation analysis revealed association with apoptosis and actin cytoskeleton pathway. Proteogenomic analysis defined 6 molecular subtypes of UCC. Of those, 3 subtypes (i.e., Sub3, Sub5 and Sub6) were associated with treatment-resistant phenotypes. The cell-type deconvolution analysis suggested activated stroma with activation of cancer-associated fibroblast in Sub 3, while Sub5 showed low levels of activated stroma and high levels of myeloid immune cells. FACS analysis of UCC mouse models established from these 2 radio-resistant primary cell lines showed high component of PDGFRA+CAF infiltration in Sub 3, and high level of PVR+CD45+ immune cells mainly composed of polymorphonuclear myeloid-derived suppressor cells (PMN-MDSC) in Sub5. For Sub6, genes and/or protein signatures represented mucin-related processes (e.g., mucin glycosylation/sugar metabolism), which are linked to metastasis-associated Tn antigen production. The proteogenomic analysis thus suggests potential targets for radiotherapy-resistant subtypes of UCC; secretory factors from activated stroma and cancer-associated fibroblast (Sub3); RHOA signaling, PVR, and PMN-MDSCs (Sub5), and keratin/chondroitin sulfate proteoglycan and Tn antigen production (Sub6). Our study shows the importance of proteogenomic analysis in unveiling the subtype specific molecular pathways of UCC that are beyond reach by genomic data alone. The validity of our molecular pathway and cellular signatures linking these pathways should be further validated through detailed functional experiments and in larger UCC cohorts.

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