학술논문

DNA Methylation Profiles of Ovarian Clear Cell Carcinoma
Document Type
article
Source
Cancer Epidemiology Biomarkers & Prevention. 31(1)
Subject
Biomedical and Clinical Sciences
Oncology and Carcinogenesis
Cancer
Ovarian Cancer
Rare Diseases
Human Genome
Genetics
2.1 Biological and endogenous factors
Aetiology
Adenocarcinoma
Clear Cell
Adult
Aged
Aged
80 and over
Aneuploidy
Class I Phosphatidylinositol 3-Kinases
CpG Islands
DNA Methylation
DNA-Binding Proteins
Disease Progression
Female
Gene Expression Profiling
Gene Expression Regulation
Neoplastic
Humans
Middle Aged
Mutation
Neoplasm Staging
Ovarian Neoplasms
Prognosis
Transcription Factors
Tumor Suppressor Protein p53
Medical and Health Sciences
Epidemiology
Biomedical and clinical sciences
Health sciences
Language
Abstract
BackgroundOvarian clear cell carcinoma (OCCC) is a rare ovarian cancer histotype that tends to be resistant to standard platinum-based chemotherapeutics. We sought to better understand the role of DNA methylation in clinical and biological subclassification of OCCC.MethodsWe interrogated genome-wide methylation using DNA from fresh frozen tumors from 271 cases, applied nonsmooth nonnegative matrix factorization (nsNMF) clustering, and evaluated clinical associations and biological pathways.ResultsTwo approximately equally sized clusters that associated with several clinical features were identified. Compared with Cluster 2 (N = 137), Cluster 1 cases (N = 134) presented at a more advanced stage, were less likely to be of Asian ancestry, and tended to have poorer outcomes including macroscopic residual disease following primary debulking surgery (P < 0.10). Subset analyses of targeted tumor sequencing and IHC data revealed that Cluster 1 tumors showed TP53 mutation and abnormal p53 expression, and Cluster 2 tumors showed aneuploidy and ARID1A/PIK3CA mutation (P < 0.05). Cluster-defining CpGs included 1,388 CpGs residing within 200 bp of the transcription start sites of 977 genes; 38% of these genes (N = 369 genes) were differentially expressed across cluster in transcriptomic subset analysis (P < 10-4). Differentially expressed genes were enriched for six immune-related pathways, including IFNα and IFNγ responses (P < 10-6).ConclusionsDNA methylation clusters in OCCC correlate with disease features and gene expression patterns among immune pathways.ImpactThis work serves as a foundation for integrative analyses that better understand the complex biology of OCCC in an effort to improve potential for development of targeted therapeutics.