Faulty proteins may prove significant in identifying new treatments for ovarian cancer

ScienceDaily (Jan. 13, 2012) ? A constellation of defective proteins suspected in causing a malfunction in the body's ability to repair its own DNA could be the link scientists need to prove a new class of drugs will be effective in treating a broad range of ovarian cancer patients, an Oregon Health & Science University Knight Cancer Institute study found.

These research results, published this week in PLoS ONE, have prompted additional exploration into whether the patient population included in clinical trials for drugs that target the enzyme poly ADP ribose polymerase (PARP) should be expanded. Several forms of cancer are more dependent on PARP for their growth than regular cells, which means that targeting these enzymes when they go haywire is a potentially effective way to treat ovarian cancer. Currently PARP inhibitors are being tested with patients who have two types of malfunctioning proteins, BRCA1 or BRCA2. But, the OHSU Knight Cancer Institute study of additional proteins, beyond BRCA proteins, suggests that they too are playing a role in driving ovarian cancer.

Tapping into the potential of PARP inhibitors could change the dynamics of ovarian cancer treatment. There has not been a substantial increase in treatment options for ovarian cancer in the past two decades, said Tanja Pejovic, M.D., Ph.D., gynecologic oncologist at the OHSU Knight Cancer Institute. Pejovic, who led the study of these additional defective proteins, added that the results provide evidence that further research into the role of multiple proteins is warranted.

Only about 10 to 15 percent of women with ovarian cancer have BRCA 1 or BRCA 2 mutations. Pejovic's study of 186 patients with nonhereditary cancer found that 41 percent who had an early recurrence of the disease also had abnormal levels of the other proteins tracked. In contrast, only 19.5 percent of patients who hadn't yet had a recurrence of the disease in three years had abnormal levels of these proteins.

"If we are able to identify the proteins that differentiate these patients at risk for early recurrence, this would open up a new direction in ovarian cancer treatment," Pejovic said.

The study -- which was supported by the Sherie Hildreth Ovarian Cancer (SHOC) Foundation -- focused on proteins that are supposed to assist cells in repairing harmful breaks in DNA strands, a process called homologous recombination (HR). The malfunctioning of HR is not well understood in ovarian cancers where there is no family history of the disease. However, there is evidence that these proteins influence a patient's ability to respond to drugs and their survival rates after treatment.

Ovarian cancer is the second most common gynecologic cancer and the most common cause of death among women with a gynecologic cancer. About 21,000 ovarian cancer cases are diagnosed annually and about 14,000 deaths occur each year from the disease.

The OHSU Knight Cancer Institute, which helped pioneer the field of personalized cancer medicine, is committed to research that identifies the specific mutations driving each individual patient's cancer. Other researchers at the Knight Cancer Institute who contributed to the study are: Weiya Z. Wysham, M.D.; Hong Li, M.S., M.D.; Laura Hays, Ph.D.; Jay Wright; Nupur Pande, Ph.D.; and Maureen Hoatlin, Ph.D.

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The above story is reprinted from materials provided by Oregon Health & Science University.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.

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Journal Reference:

1. Weiya Z. Wysham, Paulette Mhawech-Fauceglia, Hong Li, Laura Hays, Suzanna Syriac, Tijana Skrepnik, Jay Wright, Nupur Pande, Maureen Hoatlin, Tanja Pejovic. BRCAness Profile of Sporadic Ovarian Cancer Predicts Disease Recurrence. PLoS ONE, 2012; 7 (1): e30042 DOI: 10.1371/journal.pone.0030042

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

Source: http://www.sciencedaily.com/releases/2012/01/120113210650.htm

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