Monday, February 10, 2020 Predicting Cancer Outcomes from Less Data Image credit: National Human Genome Research Institute Gene expression information from tumors provides valuable information about a patient's cancer prognosis and aids development of diagnostics and treatments. Using data from NIH's The Cancer Genome Atlas Program, NIAID researchers have found that prognosis of some cancers can be predicted from a fraction of the gene expression sequencing data currently thought possible. This would substantially reduce the cost and time needed to gather useful sequencing data, faciliating cancer research and potentially informing precision medicine approaches in which treatments are tailored to an individual's disease. The study appears today in Nature Medicine. National Institute of Allergy and Infectious Diseases  |  National Institutes of Health Update your subscriptions, modify your password or e-mail address, or stop subscriptions at any time on your Subscriber Preferences Page. You will need to use your e-mail address to log in. If you have questions or problems with the subscription service, please contact Subscriber Help. This service is provided to you at no charge by National Institute of Allergy and Infectious Diseases (NIAID). This email was sent to myhcistech.healthnews360@blogger.com using GovDelivery Communications Cloud on behalf of: National Institute of Allergy and Infectious Diseases · 5601 Fishers Lane · Bethesda, MD 20892 · 1-866-284-4107