18 Nov Advanced Metabolite Detection May Allow Earlier Ovarian Cancer Detection
MedicalResearch.com Interview with:
Professor John McDonald PhD
Director of its Integrated Cancer Research Center
School of Biology at the Georgia Institute of Technology
Medical Research: What is the background for this study? What are the main findings?
Response: Ovarian cancer is a deadly disease because it cannot be diagnosed at early stages when it can be most effectively effectively treated.
It has long been recognized that there is a great need for an accurate diagnostic test for early stage ovarian cancer.
Until now, efforts to develop a highly accurate way to detect early stage ovarian cancer have been unsuccessful.
We have used a novel approach that integrates advanced methods in analytical chemistry with advanced machine learning algorithms to identify 16 metabolites that collectively can detect ovarian cancer with extremely high accuracy (100% in the samples tested in our study)
Medical Research: What should clinicians and patients take away from your report?
Response: That early stage ovarian cancer can be detected with extremely high accuracy.
Medical Research: What recommendations do you have for future research as a result of this study?
Response: The methods needs to be validated across a larger cohort of women to insure that it is accurate across all ethnic/racial groups.
Further tests will ideally be carried out among groups of women with a high-risk of developing ovarian cancer (e.g., BRCA positive individuals, etc) .
David A. Gaul, Roman Mezencev, Tran Q. Long, Christina M. Jones, Benedict B. Benigno, Alexander Gray, Facundo M. Fernández, John F. McDonald. Highly-accurate metabolomic detection of early-stage ovarian cancer.
Scientific Reports, 2015; 5: 16351
Professor John McDonald PhD (2015). Advanced Metabolite Detection May Allow Earlier Ovarian Cancer Detection