We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement

Insights Into Resistance to Immune Checkpoint Inhibitors in Lung Cancer

Insights Into Resistance to Immune Checkpoint Inhibitors in Lung Cancer content piece image
Listen with
Speechify
0:00
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: Less than a minute

New research by Yale Cancer Center shows insights into modeling resistance to immune checkpoint inhibitors, a form of cancer immunotherapy. The study was presented today at the American Association of Cancer Research (AACR) virtual annual meeting.

"Acquired resistance to immune checkpoint inhibitors is a growing clinical challenge. About 50% of lung cancer patients who initially respond to immune checkpoint inhibitors eventually develop acquired resistance to these therapies," said Camila Robles-Oteiza, lead author of the study from Yale Cancer Center. "We studied this clinical challenge by examining the mechanisms of resistance to help improve treatment."

Yale researchers used a novel mouse model of KRAS-driven lung cancer to investigate what drives acquired resistance to immune checkpoint inhibitors. They found lung tumors with acquired resistance to these therapies have reduced expression of MHC-II molecules, as well as increased tumor hypoxia or where tumor cells have been deprived of oxygen. By combining immune checkpoint inhibitors such as anti-PD-1 and anti-CTLA-4 with an anti-hypoxia agent, researchers showed they could slow the acquired resistance.

"Informing strategies to overcome acquired resistance can help to address a critical, unmet need in cancer therapy," said Robles-Oteiza.



Other authors of the study from Yale are Katerina Politi, PhD, senior author and co-authors Susan M. Kaech, PhD and Katherine Hastings, PhD.

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.