title: Molecular Subtyping of Serous Ovarian Cancer Based on Multi-omics Data.
abstract: Classification of ovarian cancer by morphologic features has a limited effect on serous ovarian cancer (SOC) treatment and prognosis. Here, we proposed a new system for SOC subtyping based on the molecular categories from the Cancer Genome Atlas project. We analyzed the DNA methylation, protein, microRNA, and gene expression of 1203 samples from 599 serous ovarian cancer patients. These samples were divided into nine subtypes based on RNA-seq data, and each subtype was found to be associated with the activation and/or suppression of the following four biological processes: immunoactivity, hormone metabolic, mesenchymal development and the MAPK signaling pathway. We also identified four DNA methylation, two protein expression, six microRNA sequencing and four pathway subtypes. By integrating the subtyping results across different omics platforms, we found that most RNA-seq subtypes overlapped with one or two subtypes from other omics data. Our study sheds light on the molecular mechanisms of SOC and provides a new perspective for the more accurate stratification of its subtypes.
authors.affiliation: Department of Gynecologic Oncology, Chinese PLA General Hospital, Beijing 100853, China.
authors.forename: Zhe
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Gynecologic Oncology, Chinese PLA General Hospital, Beijing 100853, China.
authors.forename: Ke
authors.initials: K
authors.lastname: Huang
authors.affiliation: Department of Gynecologic Oncology, Chinese PLA General Hospital, Beijing 100853, China.
authors.forename: Chenglei
authors.initials: C
authors.lastname: Gu
authors.affiliation: Department of Gynecologic Oncology, Chinese PLA General Hospital, Beijing 100853, China.
authors.forename: Luyang
authors.initials: L
authors.lastname: Zhao
authors.affiliation: Department of Gynecologic Oncology, Chinese PLA General Hospital, Beijing 100853, China.
authors.forename: Nan
authors.initials: N
authors.lastname: Wang
authors.affiliation: Beijing Institute of Health Service and Medical Information, Beijing 100850, China.
authors.forename: Xiaolei
authors.initials: X
authors.lastname: Wang
authors.affiliation: Beijing Institute of Health Service and Medical Information, Beijing 100850, China.
authors.forename: Dongsheng
authors.initials: D
authors.lastname: Zhao
authors.affiliation: Beijing Institute of Radiation Medicine, State Key Laboratory of Proteomics, Cognitive and Mental Health Research Center, Beijing 100850, China.
authors.forename: Chenggang
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Beijing Institute of Radiation Medicine, State Key Laboratory of Proteomics, Cognitive and Mental Health Research Center, Beijing 100850, China.
authors.forename: Yiming
authors.initials: Y
authors.lastname: Lu
authors.affiliation: Department of Gynecologic Oncology, Chinese PLA General Hospital, Beijing 100853, China.
authors.forename: Yuanguang
authors.initials: Y
authors.lastname: Meng
mesh_terms: D019175:DNA Methylation; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D035683:MicroRNAs / Q000032:analysis; D010051:Ovarian Neoplasms / Q000145:classification* / Q000473:pathology*; D057089:Pathology, Molecular; D020543:Proteome / Q000032:analysis*; D017423:Sequence Analysis, RNA
chemical_list: D035683:MicroRNAs; D020543:Proteome