Differential Methylation Profile of Ovarian Cancer in Tissues and Plasma
Overview
Pathology
Affiliations
An accurate biomarker for detection of ovarian cancer may reduce cancer-related mortality. Using a previously developed microarray-based technique, we evaluated differences in DNA methylation profiles in a panel of 56 genes using sections of serous papillary adenocarcinomas and uninvolved ovaries (n=30) from women in a high-risk group. Methylation profiles were also generated for circulating DNA from blood of patients (n=33) and healthy controls (n=33). Using the most differentially methylated genes for naïve Bayesian analysis, we identified ten of these profiles as potentially informative in tissues. Various combinations of these genes produced 69% sensitivity and 70% specificity for cancer detection as estimated under a stratified, fivefold cross-validation protocol. In plasma, five genes were identified as informative; their combination had 85% sensitivity and 61% specificity for cancer detection. These results suggest that differential methylation profiling in heterogeneous samples has the potential to identify components of a composite biomarker that may detect ovarian cancer in blood with significant accuracy.
Panagopoulou M, Panou T, Gkountakos A, Tarapatzi G, Karaglani M, Tsamardinos I Clin Epigenetics. 2024; 16(1):178.
PMID: 39643918 PMC: 11622545. DOI: 10.1186/s13148-024-01787-8.
Li G, Zhang Y, Li K, Liu X, Lu Y, Zhang Z Cell Rep Med. 2024; 5(8):101666.
PMID: 39094578 PMC: 11384945. DOI: 10.1016/j.xcrm.2024.101666.
Ovarian Cancer Diagnosis and Prognosis Based on Cell-Free DNA Methylation.
Gao Y, Zhou N, Liu J Cancer Control. 2024; 31:10732748241255548.
PMID: 38764160 PMC: 11104031. DOI: 10.1177/10732748241255548.
High-Grade Serous Ovarian Cancer-A Risk Factor Puzzle and Screening Fugitive.
Wilczynski J, Paradowska E, Wilczynski M Biomedicines. 2024; 12(1).
PMID: 38275400 PMC: 10813374. DOI: 10.3390/biomedicines12010229.
Liquid biopsy in ovarian cancer in China and the world: current status and future perspectives.
Zhang H, Wang L, Wu H Front Oncol. 2024; 13:1276085.
PMID: 38169730 PMC: 10758434. DOI: 10.3389/fonc.2023.1276085.