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Spots Global Cancer Trial Database for Predictive Value of Drug Elimination Gene Polymorphisms on Clearance and Dose Adjustment of Sunitinib in Cancer Patients

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Trial Identification

Brief Title: Predictive Value of Drug Elimination Gene Polymorphisms on Clearance and Dose Adjustment of Sunitinib in Cancer Patients

Official Title: Predictive Value of Drug Elimination Gene Polymorphisms on Clearance and Dose Adjustment of Sunitinib (Sutent, SU11248) in Patients With Cancer

Study ID: NCT01098903

Conditions

Cancer

Interventions

Study Description

Brief Summary: Sunitinib is an anticancer drug, but like most drugs, the effect varies from person to person. This is partly due to a variation in how well each person eradicates the drug from the body. This can lead to toxicity if the drug is eliminated slowly. Just as important is inadvertent underdosing in people who eliminate the drug quickly which may lead to a reduced anti-cancer effect. The investigators group has developed a battery of tests that may measure how an individual clears a drug from their body. The investigators intend to apply these tests to a group of patients taking sunitinib to see whether any test will help predict the level of sunitinib in the body and also the side effects. If a test seems to be promising from this study it may be possible to do a simple test on patients before they receive sunitinib so the best dose is chosen. The tests involve identifying the genes that are involved with drug elimination (CYP3A, ABCB1, ABCG2, OCT1, OATP) as well as directly measuring elimination using marker drugs (midazolam clearance and sestamibi liver clearance).

Detailed Description:

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Westmead Hospital, Westmead, New South Wales, Australia

Academic medical center Amsterdam, Amsterdam, , Netherlands

Erasmus Medical Center, Daniel Den Hoed Cancer Center, Rotterdam, , Netherlands

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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