{"id":102233,"date":"2019-08-29T16:17:43","date_gmt":"2019-08-30T02:17:43","guid":{"rendered":"https:\/\/www.hawaii.edu\/news\/?p=102233"},"modified":"2020-03-13T14:52:30","modified_gmt":"2020-03-14T00:52:30","slug":"jabsom-deng-breast-cancer-grant","status":"publish","type":"post","link":"https:\/\/www.hawaii.edu\/news\/2019\/08\/29\/jabsom-deng-breast-cancer-grant\/","title":{"rendered":"Breast cancer early detection research awarded $2.8 million"},"content":{"rendered":"Reading time: <\/span> < 1<\/span> minute<\/span><\/span>
\"Youping
Youping Deng<\/figcaption><\/figure>\n

A University of Â鶹´«Ã½<\/span> at Mānoa<\/a> scientist has been awarded a $2.8 million grant to advance his promising work in advanced technology to drastically improve the early detection of breast cancer.<\/p>\n

Youping Deng<\/strong> of the John A. Burns School of Medicine<\/a> (JABSOM<\/abbr>) said his preliminary studies have identified a panel of fat-soluble molecules in the blood (lipids) that were able to distinguish early stage cancer from benign lesions with over 90 percent accuracy.<\/p>\n

“Mammography is the current gold standard for breast cancer screening, however, most women with abnormal mammograms are eventually found not to have breast cancer,” said Deng, director of JABSOM<\/abbr> Bioinformatics Core<\/a>. “Most abnormal mammograms are false positives that require expensive breast imaging and biopsies, which can cause psychological distress.”<\/p>\n

With the new investment by the National Institutes of Health, Deng’s aim is to identify signatures of circulating lipids and microRNA<\/abbr> (small cellular RNA<\/abbr> fragments that affect how genes work). These signatures can then be used reliably as a companion diagnostic tool to screening mammography, which would reduce the number of unnecessary follow-up investigations, especially invasive biopsy.<\/p>\n

Deng and his team employ artificial intelligence and computational equations in their research. The hope is that development of a new diagnostic tool can be applied to other forms of cancer detection, including lung cancer, thereby potentially saving many lives through earlier and more accurate diagnosis.<\/p>\n

In addition to his role in the JABSOM<\/abbr> Department of Quantitative Health Sciences<\/a>, Deng is co-director of the Genomics and Bioinformatics Shared Resource<\/a> at the UH<\/abbr> Cancer Center<\/a>.<\/p>\n

—By Tina Shelton<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

JABSOM<\/abbr>’s Youping Deng and his team are doing promising work in the development of a new diagnostic tool to improve the early detection of breast cancer. <\/p>\n","protected":false},"author":16,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[218,165,31,1363,9],"class_list":["post-102233","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research","tag-cancer","tag-health","tag-john-a-burns-school-of-medicine","tag-manoa-research","tag-uh-manoa","entry","has-media"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t