New biomarker can predict cancer aggressiveness, study finds

Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on print

Researchers from Fred Hutch Cancer Center and the University of Texas MD Anderson Cancer Center have uncovered a biomarker capable of accurately predicting outcomes in meningioma brain tumors and breast cancers using a new technology and computational method. 

To access this subscriber-only content please log in or subscribe.

If your institution has a site license, log in with IP-login or register for a sponsored account.*
*Not all site licenses are enrolled in sponsored accounts.

Login Subscribe
Table of Contents

YOU MAY BE INTERESTED IN

Venkata Lokesh BattulaClinton YamA multidisciplinary team of researchers at VCU Massey Comprehensive Cancer Center and MD Anderson Cancer Center has been awarded a $7.3 million grant from the U.S. Department of Defense to fund a novel clinical trial targeting one of the most aggressive and hard-to-treat forms of breast cancer: metastatic triple-negative breast cancer. 
Clinicians typically classify meningiomas—the most common type of brain tumor—into three grades, ranging from slow-growing to aggressive. But a new multi-institutional study suggests that appearances may be deceiving. If a tumor shows activity in a gene called telomerase reverse transcriptase, it tends to recur more quickly, even if it looks low-grade under the microscope.

Never miss an issue!

Get alerts for our award-winning coverage in your inbox.

Login