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Tumoral Drug Metabolism: Overview and Its Implications for Cancer Therapy

From the Division of Haematology and Medical Oncology, Peter MacCallum Cancer Centre, St Andrew’s Place, E Melbourne; Department of Pharmaceutics, Victorian College of Pharmacy, Monash University, Melbourne, Victoria, Australia

Address reprint requests to M. Michael, Division of Haematology and Medical Oncology, Peter MacCallum Cancer Centre, Locked Bag 1, A’Beckett St, Victoria 8006, Australia; e-mail: Michael.Michael{at}petermac.org

Drug-metabolizing enzymes (DME) in tumors are capable of biotransforming a variety of xenobiotics, including antineoplastics, resulting in either their activation or detoxification. Many studies have reported the presence of DME in tumors; however, heterogenous detection methodology and patient cohorts have not generated consistent, firm data. Nevertheless, various gene therapy approaches and oral prodrugs have been devised, taking advantage of tumoral DME. With the need to target and individualize anticancer therapies, tumoral processes such as drug metabolism must be considered as both a potential mechanism of resistance to therapy and a potential means of achieving optimal therapy. This review discusses cytotoxic drug metabolism by tumors, through addressing the classes of the individual DME, their relevant substrates, and their distribution in specific malignancies. The limitations of preclinical models relative to the clinical setting and lack of data on the changes of DME with disease progression and host response will be discussed. The therapeutic implications of tumoral drug metabolism will be addressed—in particular, the role of DME in predicting therapeutic response, the activation of prodrugs, and the potential for modulation of their activity for gain are considered, with relevant clinical examples. The contribution of tumoral drug metabolism to cancer therapy can only be truly ascertained through large-scale prospective studies and supported by new technologies for tumor sampling and genetic analysis such as microarrays. Only then can efforts be concentrated in the design of better prodrugs or combination therapy to improve drug efficacy and individualize therapy.

Authors’ disclosures of potential conflicts of interest are found at the end of this article.

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