Your browser is no longer supported

For the best possible experience using our website we recommend you upgrade to a newer version or another browser.

Your browser appears to have cookies disabled. For the best experience of this website, please enable cookies in your browser

We'll assume we have your consent to use cookies, for example so you won't need to log in each time you visit our site.
Learn more

Unlikely cancer drugs 'could be ruled out' of research earlier in future

  • Comment

Advances in biological imaging techniques could help rule out drugs that are unlikely to work in treating cancer, UK scientists believe.

Researchers at the University of Edinburgh said a review of the technology suggests new approaches would make it easier to identify the most promising new drugs to take forward for patient testing.

Recent advances mean scientists can now check how experimental drugs are working inside living cells and in real time.

Using automated microscopes to track fluorescent dyes, researchers can rapidly test thousands of potential drugs in different cancer cell types.

This technique − known as phenotypic drug discovery − monitors the effect of a trial drug on the disease as a whole rather than its impact on an individual target protein, which has been the approach until now.

Applying it early in the drug discovery process could improve the success rate of new medicines by helping to rule out drugs that are unlikely to work, the team said.

Edinburgh University

Neil Carragher

Writing in the journal Nature Reviews Cancer, they argue it will help to better predict how a drug will work in real life − not just in the test tube.

The scientists said just 5% of drugs currently tested in clinical trials are approved for patients.

Study author Dr Neil Carragher said: “The drug discovery process is hugely expensive and inefficient.

“In Edinburgh we are leading the way in using biological imaging to streamline the process, allowing us to better select drug candidates with the lowest risk of side effects and the best chances of success in treating patients,” he added.

  • Comment

Have your say

You must sign in to make a comment

Please remember that the submission of any material is governed by our Terms and Conditions and by submitting material you confirm your agreement to these Terms and Conditions. Links may be included in your comments but HTML is not permitted.

Related Jobs