{"id":5972,"date":"2020-08-18T03:30:23","date_gmt":"2020-08-18T10:30:23","guid":{"rendered":"https:\/\/keck.usc.edu\/news\/a-new-test-may-better-predict-ovarian-cancer-survival\/"},"modified":"2024-05-31T16:40:21","modified_gmt":"2024-05-31T23:40:21","slug":"a-new-test-may-better-predict-ovarian-cancer-survival","status":"publish","type":"post","link":"https:\/\/keck.usc.edu\/news\/a-new-test-may-better-predict-ovarian-cancer-survival\/","title":{"rendered":"A new test may better predict ovarian cancer survival"},"content":{"rendered":"\n \n \n\n\n\n\n\n\n\n
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A new test may better predict ovarian cancer survival<\/h1>\n\n\n<\/div>\n \n \n
\n \n August 18, 2020<\/span>\n <\/div>\n \n \n
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The tool, developed by USC researchers, could help identify patients with the most to gain from a clinical trial as well as guide therapeutic targets.<\/p>\n

Tumor gene test predicts ovarian cancer survival (Photo\/iStock)<\/figcaption><\/figure>\n

Scientists may have found a better way to estimate survival for women with aggressive ovarian cancer, according to a new study by USC researchers and international colleagues.<\/p>\n

The findings, which appear Monday in the print edition of the journal\u00a0Annals of Oncology, could focus the development of targeted therapeutic approaches and identify women who might benefit from clinical trials.<\/p>\n

An estimated 21,750 American women will be diagnosed with ovarian cancer this year. Average survival for women with the most common and aggressive form is around four years. But survival varies widely between patients, underscoring the need to estimate who is facing a fast-moving or slower disease.<\/p>\n

In this study, researchers discovered that a tumor gene test, which is based on tissue removed during cancer surgery, is better at predicting survival among women with ovarian cancer than making estimates the usual way, which is based on a patient\u2019s age and cancer stage.<\/p>\n

\u201cWe envisioned a test to use at the time of diagnosis \u2014 to identify patients unlikely to benefit from current treatments and potentially offer them alternatives,\u201d said\u00a0Joshua Millstein<\/a>, an associate professor of research in preventive medicine at the Keck School of Medicine of USC and the study\u2019s first author. \u201cFor example, those patients might be good candidates for clinical trials or for different treatments that might improve their survival.\u201d<\/p>\n

Tumor gene test can predict ovarian cancer survival rate<\/h2>\n

To start, researchers gathered preserved tumor samples and data about duration of survival after diagnosis from nearly 4,000 women worldwide whose information had been collected for previous studies.<\/p>\n

They custom-designed a test to measure each sample for the expression of 500 genes linked to the ovarian cancer disease process. Genes \u201cexpress\u201d proteins and other molecules, based on the gene\u2019s particular DNA, to perform particular functions. They then \u201ctrained\u201d the test with a portion of the tumor samples, inputting gene expression data from each tumor as well as the number of years the patient survived after their diagnosis.<\/p>\n

Soon, the tumor gene test could accurately predict a patient\u2019s five-year survival rate based on their tumor\u2019s gene expression profile alone. This important information could help newly diagnosed women and their doctors make treatment decisions as well as set targets for developing new therapies.<\/p>\n

\u201cSome of the genes we identified as being predictors for good or poor survival may be potential targets for new treatments,\u201d said senior author Susan Ramus, an ovarian cancer researcher previously at the USC Norris Comprehensive Cancer Center and now a professor at the University of New South Wales in Sydney.<\/p>\n

\u201cAt the moment, the majority of ovarian cancer patients get the same treatment. It\u2019s not like breast cancer or other cancers where they look at your tumor and select from a range of treatments,\u201d she added. \u201cSo this is a way to stratify patients and potentially give more personalized treatment down the track.\u201d<\/p>\n

– By\u00a0Leigh Hopper<\/a><\/p>\n

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The research paper involved 125 authors across 86 organizations, including USC. In addition to Millstein, a member of the USC Norris cancer center, the other USC author on the study was Anna Wu, a professor of preventive medicine at the Keck School of Medicine.<\/em><\/p>\n

The study was funded, in part, with grants from the National Institutes of Health (R01CA172404, R01CA168758), the United States Department of Defense Ovarian Cancer Research Program (OC110433), the National Cancer Institute (P30CA014089, P30CA034196, K22 CA193860).<\/em><\/p>\n\n\n\n<\/div>\n <\/div>\n\n\n <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":22,"featured_media":5973,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":true,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[7],"tags":[10,81,20],"class_list":["post-5972","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-cancer","tag-department-of-population-and-public-health-sciences","tag-research"],"acf":[],"yoast_head":"\nA new test may better predict ovarian cancer 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