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Predicting drug responsiveness in cancer patients

07.26.10 | JCI Journals

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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.

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.

TITLE: Deregulation of the PI3K and KRAS signaling pathways in human cancer cells determines their response to everolimus

AUTHOR CONTACT:
Alberto Bardelli
IRCC, University of Turin Medical School, Turin, Italy.
Phone: 39.011.993.3235; Fax: 39.011.993.3225; E-mail: a.bardelli@unito.it .

View this article at: http://www.jci.org/articles/view/37539?key=fd893349707da2f3dddf

ACCOMPANYING COMMENTARY
TITLE: PIK3CA and KRAS mutations predict for response to everolimus therapy: now that's RAD001

AUTHOR CONTACT:
Ben Ho Park
The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, USA.
Phone: 410.502.7399; Fax: 410.614.8397; E-mail: bpark2@jhmi.edu .

View this article at: http://www.jci.org/articles/view/44026?key=e31261cd0926146a2435

Journal of Clinical Investigation

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How to Cite This Article

APA:
JCI Journals. (2010, July 26). Predicting drug responsiveness in cancer patients. Brightsurf News. https://www.brightsurf.com/news/19VWVXR8/predicting-drug-responsiveness-in-cancer-patients.html
MLA:
"Predicting drug responsiveness in cancer patients." Brightsurf News, Jul. 26 2010, https://www.brightsurf.com/news/19VWVXR8/predicting-drug-responsiveness-in-cancer-patients.html.