Researchers find new molecular targets for aggressive brain tumor

Researchers from the Geisel School of Medicine at Dartmouth will present a scientific poster on Tuesday, April 8, 2014 at the American Association of Cancer Researchers conference in San Diego, CA. The research identifies a potential characteristic for predicting outcome in a deadly form of brain cancer known as glioblastoma multiforme.

Existing therapies based on genetic information have failed to effectively treat glioblastomas. Therefore, researchers are aggressively looking to find new molecular targets for this aggressive brain tumor.

Dartmouth researchers previously demonstrated that STK17A is a protein that is induced when DNA is damaged by the chemotherapeutic drug cisplatin. Biopsied samples of glioblastoma tumors contain high level of STK17A. And the more STK17A a tumor has the poorer the outcome appears to be. Increased levels of STK17A are correlated with shorter survival time for glioblastoma patients.

In addition, when researchers tried to "turn off" the STK17A protein, they observed a reduced rate of cancer cell growth. Reducing STK17A also interfered with tumor cells' ability to move around and invade other areas of the brain.

Further investigation is required to understand the precise role of STK17A in glioblastoma, but the finding may reveal a potential Achilles' Heel for this deadly type of brain tumor that often times seems unstoppable.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
AI models can be trained to distinguish brain tumors from healthy tissue