Featured Research

from universities, journals, and other organizations

Predicting drug responsiveness in cancer patients

Date:
July 26, 2010
Source:
Journal of Clinical Investigation
Summary:
Drugs that target the protein mTOR are used to treat several forms of cancer, but not all patients respond to the treatment. Now, a team of researchers has identified a way to help predict which patients will respond to such drugs.

Drugs such as everolimus that target the protein mTOR are used to treat several forms of cancer, but not all patients respond to the treatment. A team of researchers, led by Alberto Bardelli, at the University of Turin Medical School, Italy, has now identified a way to help predict which patients will respond to such drugs.

Related Articles


Specifically, the team found that human cancer cells with mutations in the PIK3CA gene responded to everolimus in vitro except when a KRAS gene mutation was also present. Importantly, in a cohort of metastatic cancer patients, the presence of KRAS gene mutations was associated with lack of response to treatment with everolimus therapy. These data suggest that by looking for the presence or absence of PIK3CA and KRAS mutations in a person's tumor it will be possible to predict whether or not that person will benefit from treatment with a drug that targets mTOR.

However, as noted in an accompanying commentary, by Morassa Mohseni and Ben Ho Park, at The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, while these data have enormous potential to change clinical practice, larger prospective studies are required to verify them.

The research appears in the Journal of Clinical Investigation.


Story Source:

The above story is based on materials provided by Journal of Clinical Investigation. Note: Materials may be edited for content and length.


Journal References:

  1. Nicolantonio et al. Deregulation of the PI3K and KRAS signaling pathways in human cancer cells determines their response to everolimus. Journal of Clinical Investigation, 2010; DOI: 10.1172/JCI37539
  2. Morassa Mohseni, Ben Ho Park. PIK3CA and KRAS mutations predict for response to everolimus therapy: now that's RAD001. Journal of Clinical Investigation, 2010; DOI: 10.1172/JCI44026

Cite This Page:

Journal of Clinical Investigation. "Predicting drug responsiveness in cancer patients." ScienceDaily. ScienceDaily, 26 July 2010. <www.sciencedaily.com/releases/2010/07/100726123924.htm>.
Journal of Clinical Investigation. (2010, July 26). Predicting drug responsiveness in cancer patients. ScienceDaily. Retrieved March 2, 2015 from www.sciencedaily.com/releases/2010/07/100726123924.htm
Journal of Clinical Investigation. "Predicting drug responsiveness in cancer patients." ScienceDaily. www.sciencedaily.com/releases/2010/07/100726123924.htm (accessed March 2, 2015).

Share This


More From ScienceDaily



More Health & Medicine News

Monday, March 2, 2015

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

The Best Ways To Celebrate National Nutrition Month

The Best Ways To Celebrate National Nutrition Month

Buzz60 (Mar. 2, 2015) Just when your New Year&apos;s Resolution is losing steam, March comes with fresh inspiration. TC Newman (@PurpleTCNewman) has some tips to incorporate into your lifestyle during National Nutrition Month. Video provided by Buzz60
Powered by NewsLook.com
WHO: 1.1 Billion At Risk Of Hearing Loss, Will They Listen?

WHO: 1.1 Billion At Risk Of Hearing Loss, Will They Listen?

Newsy (Mar. 2, 2015) According to the World Health Organization, 1.1 billion young people are at risk of hearing loss. Can this staggering number change things? Video provided by Newsy
Powered by NewsLook.com
Rehab Robot Helps Restore Damaged Muscles and Nerves

Rehab Robot Helps Restore Damaged Muscles and Nerves

Reuters - Innovations Video Online (Mar. 1, 2015) A rehabilitation robot prototype to help restore deteriorated nerves and muscles using electromyography and computer games. Ben Gruber reports. Video provided by Reuters
Powered by NewsLook.com
How Facebook Use Can Lead To Depression

How Facebook Use Can Lead To Depression

Newsy (Mar. 1, 2015) Margaret Duffy of the University of Missouri talks about her study on the social network and the envy and depression that Facebook use can cause. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins