4.5 Article

DNA Methylation Profiles of Ovarian Clear Cell Carcinoma

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CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
卷 31, 期 1, 页码 132-141

出版社

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1055-9965.EPI-21-0677

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资金

  1. Brigham and Women's Hospital: Foundation for Women's Cancer, Reproductive Scientist Development Program
  2. Honorable Tina Brozman Foundation
  3. Minnesota Ovarian Cancer Alliance
  4. Deborah and Robert First Family Foundation
  5. Saltonstall Foundation
  6. Potter Foundation
  7. Brigham Ovarian Cancer Research Fund
  8. American Cancer Society [SIOP-06-258-01-COUN]
  9. Mayo Clinic [R21-CA222867, R01-CA248288, P50-CA136393]
  10. NCI Cancer Center Core Grant [P30-CA008748]
  11. Cycle for Survival and Breast Cancer Research Foundation grants
  12. Nicola Murray Foundation
  13. University of Pittsburgh: NIH SPORE in ovarian cancer [P50 CA228991]
  14. Penn Medicine Translational Center of Excellence in Ovarian Cancer
  15. Dr. Miriam and Sheldon G. Adelson Medical Research Foundation
  16. Tina's Wish Foundation
  17. Claneil Foundation
  18. UPMC Hillman Cancer Center and Tissue [P30CA047904]
  19. Research Pathology/Pitt Biospecimen Core shared resource [P30CA047904]
  20. National Health and Medical Research Council of Australia [310670, 628903]
  21. Cancer Institute NSW [12/RIG/1-17, 15/RIG/1-16]

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This study investigated the role of DNA methylation in ovarian clear cell carcinoma (OCCC). Two clusters that correlated with clinical features were identified. Tumors in Cluster 1 showed TP53 mutation and abnormal p53 expression, while tumors in Cluster 2 showed aneuploidy and ARID1A/PIK3CA mutation. Differentially expressed genes were enriched for immune-related pathways.
Background: Ovarian clear cell carcinoma (OCCC) is a rare ovarian cancer histotype that tends to be resistant to standard platinum-based chemotherapeutics. We sought to better under-stand the role of DNA methylation in clinical and biological subclassification of OCCC. Methods: We interrogated genome-wide methylation using DNA from fresh frozen tumors from 271 cases, applied nonsmooth nonnegative matrix factorization (nsNMF) clustering, and evalu-ated clinical associations and biological pathways. Results: Two 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 muta-tion (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 IFN alpha and IFN gamma responses (P < 10(-6)). Conclusions: DNA methylation clusters in OCCC correlate with disease features and gene expression patterns among immune pathways. Impact: This 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.

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