COXEN (COeXpression ExtrapolatioN) is an in silico algorithm that computationally predicts the effectiveness of chemotherapeutic agents for individual cancer cells or tumor samples, based on their genomic expression profiling information (Lee et al., PNAS, Aug. 7, 2007) ; supplementary information. This website allows a registered researcher to obtain COXEN chemosensitivity prediction results for either cancer cells or patient tumor samples for most FDA-approved anti-cancer compounds.

COXEN chemosensitivity prediction results from this website are available without charge, to be used only for in vitro research or for retrospective studies. "Retrospective" means that the genomic and chemotherapy outcomes data you use must be in existence at the time of the protocol submission to your IRB. You should consult your institutional IRB if you plan to use COXEN prediction results in research. COXEN prediction results must not be used prospectively to determine the choice of drugs to treat human patients. Read our TERMS AND CONDITIONS for more information. COXEN clinical validation is ongoing in various cancer populations. In the current implementation of this web site, we provide chemosensitivity predictions on bladder and breast cancers only, but plan to expand to other cancer types in the near future. We would appreciate researchers' feedback regarding their COXEN prediction results as this will help us to further refine the algorithm for increasingly accurate predictions. All the genomic profiling data sent by researchers for COXEN analysis are secured under each researcher's account and cannot be accessed by other researchers. Researchers must NOT send any identifiable private information, such as names or treatment dates, about persons whose cells or tumor have been profiled. The COXEN website is not intended to receive information that would be considered "identifiable private information" under the federal Common Rule governing research on human subjects, or "individually identifiable health information" under HIPAA. Read our PRIVACY REQUIREMENTS for more information.

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