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Georgia Tech’s Ovarian Cancer Early Detection Blood Test Exhibits High Accuracy in Small Study; Larger Study Planned

Posted by Paul Cacciatore on August 11, 2010

Scientists at the Georgia Institute of Technology have attained very promising results on their initial investigations of a new test for ovarian cancer. Using a new technique involving mass spectrometry of a single drop of blood serum, the test correctly identified women with ovarian cancer in 100 percent of the 94 patients tested. Because of the extremely low prevalence of ovarian cancer in the general population (∼0.04%), extensive prospective testing will be required to evaluate the test’s potential utility in general screening applications.

Scientists at the Georgia Institute of Technology have attained very promising results on their initial investigations of a new test for ovarian cancer. Using a new technique involving mass spectrometry of a single drop of blood serum, the test correctly identified women with ovarian cancer in 100 percent of the 94 patients tested. The results can be found online in the journal Cancer Epidemiology, Biomarkers, & Prevention Research.

John McDonald, Ph.D., Professor, Associate Dean for Biology Program Development, Georgia Institute of Technology; Chief Science Officer, Ovarian Cancer Institute

Facundo Fernandez, Ph.D., Associate Professor, School of Chemistry & Biochemistry, Georgia Institute of Technology

“Because ovarian cancer is a disease of relatively low prevalence, it’s essential that tests for it be extremely accurate. We believe we may have developed such a test,” said John McDonald, chief research scientist at the Ovarian Cancer Institute (Atlanta) and professor of biology at Georgia Tech.

The measurement step in the test, developed by the research group of Facundo Fernandez, associate professor in the School of Chemistry and Biochemistry at Tech, uses a single drop of blood serum, which is vaporized by hot helium plasma. As the molecules from the serum become electrically charged, a mass spectrometer is used to measure their relative abundance. The test looks at the small molecules involved in metabolism that are in the serum, known as metabolites. Machine learning techniques developed by Alex Gray, assistant professor in the College of Computing and the Center for the Study of Systems Biology, were then used to sort the sets of metabolites that were found in cancerous plasma from the ones found in healthy samples. Then, McDonald’s lab mapped the results between the metabolites found in both sets of tissue to discover the biological meaning of these metabolic changes.

The assay did extremely well in initial tests involving 94 subjects. In addition to being able to generate results using only a drop of blood serum, the test proved to be 100 percent accurate in distinguishing sera from women with ovarian cancer from normal controls. In addition it registered neither a single false positive nor a false negative

The group is currently in the midst of conducting the next set of assays, this time with 500 patients.

“The caveat is we don’t currently have 500 patients with the same type of ovarian cancer, so we’re going to look at other types of ovarian cancer,” said Fernandez. “It’s possible that there are also signatures for other cancers, not just ovarian, so we’re also going to be using the same approach to look at other types of cancers. We’ll be working with collaborators in Atlanta and elsewhere.”

In addition to having a relatively low prevalence, ovarian cancer is also asymptomatic in the early stages. Therefore, if further testing confirms the ability to accurately detect ovarian cancer by analyzing metabolites in the serum of women, doctors will be able detect the disease early and save many lives.

Libby’s H*O*P*E*™ Comment:

Alex Gray, Ph.D., Assistant Professor, College of Computing & Center for the Study of Systems Biology, Georgia Institute of Technology

This study involved testing the metabolite levels in blood sera from 44 women diagnosed with serous papillary ovarian cancer (stages I-IV) and 50 healthy women or women with benign conditions.  The assay distinguished between the cancer and control groups with an unprecedented 99% to 100% accuracy. The method possesses significant clinical potential as a cancer diagnostic tool.  Because of the extremely low prevalence of ovarian cancer in the general population (∼0.04%), extensive prospective testing will be required to evaluate the test’s potential utility in general screening applications.

Sources:

Initial Trials On New Ovarain Cancer Tests Exhibit Extremely High Accuracy, News Release, Georgia Institute of Technology, August 11, 2010.

Zhou M,Guan W, Walker LD, et. al. Rapid Mass Spectrometric Metabolic Profiling of Blood Sera Detects Ovarian Cancer with High Accuracy. Cancer Epidemiol Biomarkers Prev 1055-9965.EPI-10-0126; Published OnlineFirst August 10, 2010; doi:10.1158/1055-9965.EPI-10-0126

Posted in Biomarker, Early Detection, Medical Study Results | Tagged: , , , , , , , , , | 3 Comments »

 
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