Differential methylation profile of ovarian cancer in tissues and plasma

Anatoliy Melnikov, Denise Scholtens, Andrew Godwin, Victor Levenson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

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 ONA 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 ONA 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.

Original languageEnglish (US)
Pages (from-to)60-65
Number of pages6
JournalJournal of Molecular Diagnostics
Volume11
Issue number1
DOIs
StatePublished - Jan 2009

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Molecular Medicine

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