Baylor study points to strategy to suppress prostate cancer growth

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

Feng Yang’s lab at Baylor College of Medicine published a study in the Proceedings of the National Academy of Sciences, which looked into what drives the growth of advanced tumors that have become resistant to standard castration therapy. Working with cells in the lab and animal models, they discovered an approach that suppresses the growth of therapy-resistant tumors.

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

For localized prostate cancer, multimodal artificial intelligence models have revealed a more accurate way to assess prostate cancer risk.  By combining advanced artificial intelligence with digital pathology images and clinical data, researchers developed a way to approach risk classification that outperforms traditional methods. These findings were published in JCO Precision Oncology. The research found that...

Never miss an issue!

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

Login