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• W2467685587 abstract "The Precision Medicine Initiative (PMI) was officially unveiled on January 20, 2015 by President Obama during his State of the Union address. This initiative will transform healthcare by providing health professionals with new and improved strategies to identify individuals at risk for diseases like breast cancer and to determine which treatments and therapies are best suited for the patient. The term “precision medicine” which most researchers often refer to as “personalized or individualized medicine” considers the approach that one-size-does-not-fit-all [1]. The phrase “onesize-does-not-fit-all” refers to a treatment or drug that may work well for some individuals but not for others. A nice example is the anti-estrogen breast cancer drug tamoxifen (TAM) which is used to prevent breast cancer in high-risk populations and to treat postmenopausal estrogen receptor (ER) – positive breast cancers [2,3]. Breast cancer is the most common cancer and one of the leading causes of cancer death among women [4]. Close to one-third of postmenopausal breast cancer patients experience a relapse after adjuvant treatment with TAM [5,6]. It is unclear as to why some patients experience a more favorable response to certain drugs, such as TAM, while other patients with the same diagnosis experience multiple adverse side effects from taking TAM. Recent advances in the field of breast cancer pharmacogenomics provide strong evidence that acquired or inherited genetic differences in drug metabolic pathways can affect an individual’s response to TAM and other chemotherapeutic drugs [7-10]. In support of these observations, our pharmacogenetic study showed that a single nucleotide polymorphism in the promoter of the TAM metabolizing gene UDP-glucuronosyltransferase 1A4 (UGT1A4) significantly decreases how TAM and its derivatives are metabolized in the human liver [11]. These studies, along with countless other pharmacogenomic studies, demonstrate the influence of pharmacogenomics on policy implementation and efforts that guide the development of more effective medical treatments tailored to an individual’s genetic makeup. Currently, more than 100 pharmacogenomic biomarkers have been added to drug labels that may help clinicians take appropriate actions to manage their patient’s health based on their biomarker information [12]. Because the PMI has directed most of its efforts toward research that seeks to provide new knowledge about how an individual’s genetic makeup, environment, and behavior can impact disease risk and response to treatment, I expect that this initiative will require continuous and effective collaborations between clinicians, scientists, health professionals and policy makers." @default.
• W2467685587 created "2016-07-22" @default.
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• W2467685587 date "2016-01-01" @default.
• W2467685587 modified "2023-09-27" @default.
• W2467685587 title "Guest Editorial: Breast Cancer Epigenetics in the Era of Precision Medicine" @default.
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• W2467685587 doi "https://doi.org/10.21767/2472-1158.100023" @default.
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