Nationwide Study of Breast Cancer Risk Factors in Latinas

Breast cancer is the most common cancer among American women. Any woman can be affected by breast cancer, with risk for the disease increasing with age. Risk for breast cancer is also exacerbated in women who have certain genetic alterations. Mutations in the BRCA1 and BRCA2 genes predispose women to breast and ovarian cancer, and are increasingly recognized in prostate and pancreatic cancers (1-3). In Caucasian and Asian ethnicities BRCA mutations are associated with basal-type/triple-negative disease. However this association between BRCA gene mutations and basal/triple-negative disease has been understudied in other ethnicities (4-6). The incidence and mortality of breast cancer of Hispanics and Native Americans are lower than other ethnicities; however they are underrepresented in epidemiological and clinical studies. Further, it is known that common recurrent mutations in BRCA1 and BRCA2 genes exist in Hispanic/Latino communities which account for 35-45% of mutation carriers (7, 8). The objective of our study is thus to investigate triple-negative disease and BRCA gene mutations in Hispanic women

Nationwide Study of Breast Cancer Risk Factors in Latinas

Breast cancer is the most common cancer among American women. Any woman can be affected by breast cancer, with risk for the disease increasing with age. Risk for breast cancer is also exacerbated in women who have certain genetic alterations. Mutations in the BRCA1 and BRCA2 genes predispose women to breast and ovarian cancer, and are increasingly recognized in prostate and pancreatic cancers (1-3). In Caucasian and Asian ethnicities BRCA mutations are associated with basal-type/triple-negative disease. However this association between BRCA gene mutations and basal/triple-negative disease has been understudied in other ethnicities (4-6). The incidence and mortality of breast cancer of Hispanics and Native Americans are lower than other ethnicities; however they are underrepresented in epidemiological and clinical studies. Further, it is known that common recurrent mutations in BRCA1 and BRCA2 genes exist in Hispanic/Latino communities which account for 35-45% of mutation carriers (7, 8). The objective of our study is thus to investigate triple negative disease and BRCA gene mutations in Hispanic women

Pharmacophore Modeling of Nilotinib as an Inhibitor of ATP-Binding Cassette Drug Transporters and BCR-ABL Kinase Using a Three-Dimensional Quantitative Structure–Activity Relationship Approach

Nilotinib (Tasigna) is a tyrosine kinase inhibitor approved by the FDA to treat chronic phase chronic myeloid leukemia patients. It is also a transport substrate of the ATP-binding cassette (ABC) drug efflux transporters ABCB1 (P-glycoprotein, P-gp) and ABCG2 (BCRP), which may have an effect on the pharmacokinetics and toxicity of this drug. The goal of this study was to identify pharmacophoric features of nilotinib in order to potentially develop specific inhibitors of BCR-ABL kinase with minimal interactions with ABC drug transporters. Three-dimensional pharmacophore modeling and quantitative structure–activity relationship (QSAR) studies were carried out on a series of nilotinib analogues to identify chemical features that contribute to inhibitory activity of nilotinib against BCR-ABL kinase activity, P-gp, and ABCG2. Twenty-five derivatives of nilotinib were synthesized and were then tested to measure their activity to inhibit BCR-ABL kinase and to inhibit the function of ABC drug transporters. A set of <i>in vitro</i> experiments including kinase activity and cell-based transport assays and photolabeling of P-gp and ABCG2 with a transport substrate, [¹²⁵I]-iodoarylazido-prazosin (IAAP), were carried out in isolated membranes to evaluate the potency of the derivatives to inhibit the function of ABC drug transporters and BCR-ABL kinase. Sixteen, fourteen, and ten compounds were selected as QSAR data sets, respectively, to generate PHASE v3.1 pharmacophore models for BCR-ABL kinase, ABCG2, and P-gp inhibitors. The IC₅₀ values of these derivatives against P-gp, ABCG2, or BCR-ABL kinase were used to generate pharmacophore features required for optimal interactions with these targets. A seven-point pharmacophore (AADDRRR) for BCR-ABL kinase inhibitory activity, a six-point pharmacophore (ADHRRR) for ABCG2 inhibitory activity, and a seven-point pharmacophore (AADDRRR) for P-gp inhibitory activity were generated. The derived models clearly demonstrate high predictive power for test sets of BCR-ABL, ABCG2, and P-gp inhibitors. In aggregate, these results should aid in the development of specific inhibitors of BCR-ABL kinase that exhibit no or minimal interaction with ABC drug transporters