A Prospective Trial of COXEN Chemotherapy Prediction in Persistent and Recurrent Ovarian, Fallopian Tube, and Peritoneal Carcinomas
The current proposal seeks to apply and extend this novel genomic prediction technique to
finding better chemotherapeutic options for recurrent ovarian cancer using individual
patients' gene-expression signatures of chemosensitivity. The utility of the COXEN technique
has been validated and found to accurately predict 1) the chemosensitivity of an independent
panel of 40 bladder cancer cell lines; 2) activity of each of the >45K candidate compounds
in the NCI-60 drug screening database, which resulted in the identification of a
highly-effective novel compound for bladder cancer and patients' responses and survival on
12 historical clinical trials of combination chemotherapy. In particular, the GEMs of breast
cancer can be used to stratify both clinical response and overall patient survival with a
striking difference between the predicted responders vs. predicted non-responders in 5
independent chemotherapeutic trials of breast cancer. The next step is to test the
prediction model in recurrent ovarian cancer.
Interventional
Allocation: Non-Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Factorial Assignment, Masking: Open Label
overall response rate
patient will have CT scans and CA 125 drawn to track response to chemotherapy
12 months
No
Linda Duska, MD
Principal Investigator
University of Virginia
United States: Institutional Review Board
15248
NCT01228942
October 2010
October 2014
Name | Location |
---|---|
University of Virginia | Charlottesville, Virginia 22908 |