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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.
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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.

The research appears in the Journal of Clinical Investigation.


Story Source:

Materials provided by Journal of Clinical Investigation. Note: Content may be edited for style 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 April 19, 2024 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 April 19, 2024).

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