» Articles » PMID: 19074590

Differential Methylation Profile of Ovarian Cancer in Tissues and Plasma

Overview
Journal J Mol Diagn
Publisher Elsevier
Date 2008 Dec 17
PMID 19074590
Citations 39
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

BRCA1 & BRCA2 methylation as a prognostic and predictive biomarker in cancer: Implementation in liquid biopsy in the era of precision medicine.

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.


Transformer-based AI technology improves early ovarian cancer diagnosis using cfDNA methylation markers.

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.


References
1.
Terasawa K, Sagae S, Toyota M, Tsukada K, Ogi K, Satoh A . Epigenetic inactivation of TMS1/ASC in ovarian cancer. Clin Cancer Res. 2004; 10(6):2000-6. DOI: 10.1158/1078-0432.ccr-0932-03. View

2.
Sui L, Dong Y, Ohno M, Watanabe Y, Sugimoto K, Tokuda M . Expression of p57kip2 and its clinical relevance in epithelial ovarian tumors. Anticancer Res. 2003; 22(6A):3191-6. View

3.
Bryan E, Jokubaitis V, Chamberlain N, Baxter S, Dawson E, Choong D . Mutation analysis of EP300 in colon, breast and ovarian carcinomas. Int J Cancer. 2002; 102(2):137-41. DOI: 10.1002/ijc.10682. View

4.
Menon U, Talaat A, Rosenthal A, Macdonald N, Jeyerajah A, Skates S . Performance of ultrasound as a second line test to serum CA125 in ovarian cancer screening. BJOG. 2000; 107(2):165-9. DOI: 10.1111/j.1471-0528.2000.tb11685.x. View

5.
Wilcox C, Baysal B, Gallion H, Strange M, DeLoia J . High-resolution methylation analysis of the BRCA1 promoter in ovarian tumors. Cancer Genet Cytogenet. 2005; 159(2):114-22. DOI: 10.1016/j.cancergencyto.2004.12.017. View