18 research outputs found

    Pathomimetic avatars reveal divergent roles of microenvironment in invasive transition of ductal carcinoma in situ

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    The breast tumor microenvironment regulates progression of ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC). However, it is unclear how interactions between breast epithelial and stromal cells can drive this progression and whether there are reliable microenvironmental biomarkers to predict transition of DCIS to IDC

    Association of Liver Injury From Specific Drugs, or Groups of Drugs, With Polymorphisms in HLA and Other Genes in a Genome-Wide Association Study

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    BACKGROUND & AIMS: We performed a genome-wide association study (GWAS) to identify genetic risk factors for drug-induced liver injury (DILI) from licensed drugs without previously reported genetic risk factors. METHODS: We performed a GWAS of 862 persons with DILI and 10,588 population-matched controls. The first set of cases was recruited before May 2009 in Europe (n = 137) and the United States (n = 274). The second set of cases were identified from May 2009 through May 2013 from international collaborative studies performed in Europe, the United States, and South America. For the GWAS, we included only cases with patients of European ancestry associated with a particular drug (but not flucloxacillin or amoxicillin-clavulanate). We used DNA samples from all subjects to analyze HLA genes and single nucleotide polymorphisms. After the discovery analysis was concluded, we validated our findings using data from 283 European patients with diagnosis of DILI associated with various drugs. RESULTS: We associated DILI with rs114577328 (a proxy for A*33:01 a HLA class I allele; odds ratio [OR], 2.7; 95% confidence interval [CI], 1.9-3.8; P = 2.4 × 10-8) and with rs72631567 on chromosome 2 (OR, 2.0; 95% CI, 1.6-2.5; P = 9.7 × 10-9). The association with A*33:01 was mediated by large effects for terbinafine-, fenofibrate-, and ticlopidine-related DILI. The variant on chromosome 2 was associated with DILI from a variety of drugs. Further phenotypic analysis indicated that the association between DILI and A*33:01 was significant genome wide for cholestatic and mixed DILI, but not for hepatocellular DILI; the polymorphism on chromosome 2 was associated with cholestatic and mixed DILI as well as hepatocellular DILI. We identified an association between rs28521457 (within the lipopolysaccharide-responsive vesicle trafficking, beach and anchor containing gene) and only hepatocellular DILI (OR, 2.1; 95% CI, 1.6-2.7; P = 4.8 × 10-9). We did not associate any specific drug classes with genetic polymorphisms, except for statin-associated DILI, which was associated with rs116561224 on chromosome 18 (OR, 5.4; 95% CI, 3.0-9.5; P = 7.1 × 10-9). We validated the association between A*33:01 terbinafine- and sertraline-induced DILI. We could not validate the association between DILI and rs72631567, rs28521457, or rs116561224. CONCLUSIONS: In a GWAS of persons of European descent with DILI, we associated HLA-A*33:01 with DILI due to terbinafine and possibly fenofibrate and ticlopidine. We identified polymorphisms that appear to be associated with DILI from statins, as well as 2 non-drug-specific risk factors

    Association of Liver Injury From Specific Drugs, or Groups of Drugs, With Polymorphisms in HLA and Other Genes in a Genome-Wide Association Study

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    BACKGROUND & AIMS: We performed a genome-wide association study (GWAS) to identify genetic risk factors for druginduced liver injury (DILI) from licensed drugs without previously reported genetic risk factors. METHODS: We performed a GWAS of 862 persons with DILI and 10,588 population-matched controls. The first set of cases was recruited before May 2009 in Europe (n = 137) and the United States (n = 274). The second set of cases were identified from May 2009 through May 2013 from international collaborative studies performed in Europe, the United States, and South America. For the GWAS, we included only cases with patients of European ancestry associated with a particular drug (but not flucloxacillin or amoxicillin-clavulanate). We used DNA samples from all subjects to analyze HLA genes and single nucleotide polymorphisms. After the discovery analysis was concluded, we validated our findings using data from 283 European patients with diagnosis of DILI associated with various drugs. RESULTS: We associated DILI with rs114577328 (a proxy for A* 33: 01 a HLA class I allele; odds ratio [OR], 2.7; 95% confidence interval [CI], 1.9 - 3.8; P = 2.4 x 10(-8)) and with rs72631567 on chromosome 2 (OR, 2.0; 95% CI, 1.6 - 2.5; P = 9.7 x 10(-9)). The association with A* 33: 01 was mediated by large effects for terbinafine-, fenofibrate-, and ticlopidine-related DILI. The variant on chromosome 2 was associated with DILI from a variety of drugs. Further phenotypic analysis indicated that the association between DILI and A* 33: 01 was significant genome wide for cholestatic and mixed DILI, but not for hepatocellular DILI; the polymorphism on chromosome 2 was associated with cholestatic and mixed DILI as well as hepatocellular DILI. We identified an association between rs28521457 (within the lipopolysaccharide-responsive vesicle trafficking, beach and anchor containing gene) and only hepatocellular DILI (OR, 2.1; 95% CI, 1.6 - 2.7; P = 4.8 x 10(-9)). We did not associate any specific drug classes with genetic polymorphisms, except for statin-associated DILI, which was associated with rs116561224 on chromosome 18 (OR, 5.4; 95% CI, 3.0 - 9.5; P = 7.1 x 10(-9)). We validated the association between A* 33: 01 terbinafine-and sertraline-induced DILI. We could not validate the association between DILI and rs72631567, rs28521457, or rs116561224. CONCLUSIONS: In a GWAS of persons of European descent with DILI, we associated HLA-A* 33: 01 with DILI due to terbinafine and possibly fenofibrate and ticlopidine. We identified polymorphisms that appear to be associated with DILI from statins, as well as 2 non-drug-specific risk factors.Peer reviewe

    Imaging Sites of Inhibition of Proteolysis in Pathomimetic Human Breast Cancer Cultures by Light-Activated Ruthenium Compound

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    <div><p>The cysteine protease cathepsin B has been causally linked to progression and metastasis of breast cancers. We demonstrate inhibition by a dipeptidyl nitrile inhibitor (compound <b>1)</b> of cathepsin B activity and also of pericellular degradation of dye-quenched collagen IV by living breast cancer cells. To image, localize and quantify collagen IV degradation in real-time we used 3D pathomimetic breast cancer models designed to mimic the <i>in vivo</i> microenvironment of breast cancers. We further report the synthesis and characterization of a caged version of compound <b>1</b>, [Ru(bpy)<sub>2</sub>(<b>1</b>)<sub>2</sub>](BF<sub>4</sub>)<sub>2</sub> (compound <b>2</b>), which can be photoactivated with visible light. Upon light activation, compound <b>2</b>, like compound <b>1</b>, inhibited cathepsin B activity and pericellular collagen IV degradation by the 3D pathomimetic models of living breast cancer cells, without causing toxicity. We suggest that caged inhibitor <b>2</b> is a prototype for cathepsin B inhibitors that can control both the site and timing of inhibition in cancer.</p></div

    The ruthenium complex <i>cis</i>-[Ru(bpy)<sub>2</sub>(MeCN)<sub>2</sub>](PF<sub>6</sub>)<sub>2</sub> (3) used for caging of inhibitor 2 does not affect degradation of DQ-collagen IV by 3D MAME cultures of breast carcinoma cells.

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    <p>(A) Top view of representative 3D reconstruction of 16 contiguous fields of MDA-MB-231 breast carcinoma structures (nuclei, blue) and associated degradation fragments of DQ-collagen IV (green) at 4 days of culture. Panels from left to right are DMSO control, dark-exposed ruthenium complex and light-exposed ruthenium complex. (B) Hs578T breast carcinoma structures (nuclei, blue) and associated degradation fragments of DQ-collagen IV (green) at 4 days of culture. See A for further details. (C) Quantification of degraded DQ-collagen IV per cell in MDA-MB-231 (left) and Hs578T (right) structures incubated with DMSO (negative control), dark-exposed ruthenium complex or light-exposed ruthenium complex. Data shown are from 3 independent experiments (48 fields); mean ± SD.</p

    Uncaged inhibitor 1 reduces degradation of DQ-collagen IV by 3D MAME cultures of breast carcinoma cells.

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    <p>(A) Top view of representative 3D reconstruction of 16 contiguous fields of MDA-MB-231 breast carcinoma structures (nuclei, blue) and associated degradation fragments of DQ-collagen IV (green) at 4 days of culture. Panels from left to right are DMSO control and cysteine protease inhibitors (middle: 5 μM each of CA074 + CA074Me; right: uncaged inhibitor 1). (B) Hs578T breast carcinoma structures (nuclei, blue) and associated degradation fragments of DQ-collagen IV (green) at 4 days of culture. See A for further details. (C) Quantification of degraded DQ-collagen IV per cell in MDA-MB-231 (left) and Hs578T (right) structures exposed to DMSO (negative control), CA074/CA074Me (5 μM each; positive control) and uncaged inhibitor <b>1</b>. Data shown are from 3 independent experiments (48 fields); * ≤ 0.05; mean ± SD.</p

    Light activation of caged inhibitor 2 reduces degradation of DQ-collagen IV by 3D MAME cultures of breast carcinoma cells.

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    <p>(A) Top view of representative 3D reconstruction of 16 contiguous fields of MDA-MB-231 breast carcinoma structures (nuclei, blue) and associated degradation fragments of DQ-collagen IV (green) at 4 days of culture. Panels from left to right are DMSO control, dark-exposed caged inhibitor <b>2</b> and light-exposed caged inhibitor <b>2</b>. (B) Hs578T breast carcinoma structures (nuclei, blue) and associated degradation fragments of DQ-collagen IV (green) at 4 days of culture. See A for further details. (C) Quantification of degraded DQ-collagen IV per cell in MDA-MB-231 (left) and Hs578T (right) structures incubated with DMSO (negative control), dark-exposed caged inhibitor <b>2</b> or light-exposed caged inhibitor <b>2</b>. Data shown are from 3 independent experiments (48 fields); *p ≤ 0.05; **p ≤ 0.005; mean ± SD.</p
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