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Marin JJG, Serrano MA, Herraez E, Lozano E, Ortiz-Rivero S, Perez-Silva L, Reviejo M, Briz O. Impact of genetic variants in the solute carrier ( SLC) genes encoding drug uptake transporters on the response to anticancer chemotherapy. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2024; 7:27. [PMID: 39143954 PMCID: PMC11322974 DOI: 10.20517/cdr.2024.42] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/14/2024] [Accepted: 06/20/2024] [Indexed: 08/16/2024]
Abstract
Cancer drug resistance constitutes a severe limitation for the satisfactory outcome of these patients. This is a complex problem due to the co-existence in cancer cells of multiple and synergistic mechanisms of chemoresistance (MOC). These mechanisms are accounted for by the expression of a set of genes included in the so-called resistome, whose effectiveness often leads to a lack of response to pharmacological treatment. Additionally, genetic variants affecting these genes further increase the complexity of the question. This review focuses on a set of genes encoding members of the transportome involved in drug uptake, which have been classified into the MOC-1A subgroup of the resistome. These proteins belong to the solute carrier (SLC) superfamily. More precisely, we have considered here several members of families SLC2, SLC7, SLC19, SLC22, SLCO, SLC28, SLC29, SLC31, SLC46, and SLC47 due to the impact of their expression and genetic variants in anticancer drug uptake by tumor cells or, in some cases, general bioavailability. Changes in their expression levels and the appearance of genetic variants can contribute to the Darwinian selection of more resistant clones and, hence, to the development of a more malignant phenotype. Accordingly, to address this issue in future personalized medicine, it is necessary to characterize both changes in resistome genes that can affect their function. It is also essential to consider the time-dependent dimension of these features, as the genetic expression and the appearance of genetic variants can change during tumor progression and in response to treatment.
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Affiliation(s)
- Jose J. G. Marin
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
- Center for the Study of Liver and Gastrointestinal Diseases (CIBEREHD), Carlos III National Institute of Health, Madrid 28029, Spain
| | - Maria A. Serrano
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
- Center for the Study of Liver and Gastrointestinal Diseases (CIBEREHD), Carlos III National Institute of Health, Madrid 28029, Spain
| | - Elisa Herraez
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
- Center for the Study of Liver and Gastrointestinal Diseases (CIBEREHD), Carlos III National Institute of Health, Madrid 28029, Spain
| | - Elisa Lozano
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
- Center for the Study of Liver and Gastrointestinal Diseases (CIBEREHD), Carlos III National Institute of Health, Madrid 28029, Spain
| | - Sara Ortiz-Rivero
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
- Center for the Study of Liver and Gastrointestinal Diseases (CIBEREHD), Carlos III National Institute of Health, Madrid 28029, Spain
| | - Laura Perez-Silva
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
| | - Maria Reviejo
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
- Center for the Study of Liver and Gastrointestinal Diseases (CIBEREHD), Carlos III National Institute of Health, Madrid 28029, Spain
| | - Oscar Briz
- Experimental Hepatology and Drug Targeting (HEVEPHARM), University of Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), Salamanca 37007, Spain
- Center for the Study of Liver and Gastrointestinal Diseases (CIBEREHD), Carlos III National Institute of Health, Madrid 28029, Spain
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Abdelkawy KS, El-Haggar SM, Ziada DH, Ebaid NF, El-Magd MA, Elbarbry FA. The effect of genetic variations on ribavirin pharmacokinetics and treatment response in HCV-4 Egyptian patients receiving sofosbuvir/daclatasvir and ribavirin. Biomed Pharmacother 2019; 121:109657. [PMID: 31810127 DOI: 10.1016/j.biopha.2019.109657] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 11/04/2019] [Accepted: 11/06/2019] [Indexed: 12/21/2022] Open
Abstract
PURPOSE This study aimed to investigate the effect of single nucleotide polymorphisms (SNPs) of genes involved in ribavirin (RBV) transport (SLC28A2 gene, ABCB1 gene and ABCB11 gene) on the clinical outcome and pharmacokinetics of ribavirin in HCV- 4 Egyptian patients. METHOD 100 patients treated with sofosbuvir/daclatasvir and ribavirin for 12 weeks. The SNP genotyping was performed by real-time PCR using high resolution melting analysis. Ribavirin plasma trough concentrations were determined at week 4 of therapy using a liquid chromatography/tandem mass spectrometry (LC-MS/MS). For clinical outcomes, sustained virological response (SVR), liver function tests (ALT and AST), total bilirubin, albumin, serum creatinine, hemoglobin, leukocyte count, and platelet count were measured. RESULTS Concerning RBV pharmacokinetics, ABCB1 2677 G > T SNP and ABCB11 1331 T > C SNP were statistically associated with RBV Ctrough levels after 4 weeks of therapy. ABCB11 1331 T > C SNP revealed significant association with clinical outcomes (SVR). SLC28A2-146 A > T SNP has not showed any statistically significant association with RBV plasma levels or response. CONCLUSION SNP genotyping for ABCB1 and ABCB11 genes can help in better personalized medicine for maximizing response for ribavirin as explored by the significant association between polymorphism in ABCB1 and ABCB11 genes and ribavirin pharmacokinetics and the significant association of ABCB11 1331 T > C SNP with clinical response.
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Affiliation(s)
- K S Abdelkawy
- Clinical Pharmacy, Faculty of Pharmacy, Kafrelsheikh University, Egypt.
| | - S M El-Haggar
- Clinical Pharmacy, Faculty of Pharmacy, Tanta University, Egypt.
| | - D H Ziada
- Tropical Medicine and Infectious Diseases, Faculty of Medicine, Tanta University, Egypt.
| | - N F Ebaid
- Clinical Pharmacy, Faculty of Pharmacy, Kafrelsheikh University, Egypt.
| | - M A El-Magd
- Anatomy and Embryology, Faculty of Veterinary Medicine, Kafrelsheikh University, Egypt.
| | - F A Elbarbry
- Pacific University Oregon School of Pharmacy, 222 SE 8thAve., Hillsboro, OR, 97123, USA.
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Cusato J, Calcagno A, De Nicolò A, Mogyorosi K, D'Avolio A, Di Perri G, Bonora S. Tenofovir Alafenamide and Tenofovir Disoproxil Fumarate are not transported by Concentrative Nucleoside Transporter 2. Diagn Microbiol Infect Dis 2019; 94:202-204. [DOI: 10.1016/j.diagmicrobio.2018.07.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 05/21/2018] [Accepted: 07/02/2018] [Indexed: 01/07/2023]
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Common variants in the SLC28A2 gene are associated with serum uric acid level and hyperuricemia and gout in Han Chinese. Hereditas 2019; 156:4. [PMID: 30679935 PMCID: PMC6335706 DOI: 10.1186/s41065-018-0078-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 12/25/2018] [Indexed: 12/27/2022] Open
Abstract
Background Serum uric acid (SUA), hyperuricemia (HUA) and gout are complex traits with relatively high heritability. This study aims to identify whether a candidate gene, SLC28A2, exerts susceptibility for SUA fluctuation and incidence of HUA and gout in the Han Chinese population. Results Three sample sets of 1376 gout patients, 1290 long-term HUA subjects (no gout attack) and 1349 normouricemic controls were recruited for this study. Eight polymorphisms in the SLC28A2 gene were genotyped using the ligase detection reaction-polymerase chain reaction (LDR-PCR) technology. Rs16941238 showed the most significant associations with SUA level (minor allele “A”, BETA = − 13.84 μmol/L, P = 0.0041, Pperm = 0.0042) and HUA (OR = 0.7734, P = 0.0033, Pperm = 0.0020), but not with gout (OR = 0.8801, P = 0.1315, Pperm = 0.1491). Rs2271437 was significantly associated with gout (minor allele “G”, OR = 1.387, P = 0.0277, Pperm = 0.0288), and was further confirmed in the meta-analysis with the previously published gout GWAS dataset (OR = 1.3221, P = 0.0089). Each variant basically conferred consistent OR direction on gout and HUA, compared with the normouricemic control. Conclusions Our findings support the associations of the SLC28A2 gene with the SUA level, the HUA phenotype and gout in Han Chinese. Electronic supplementary material The online version of this article (10.1186/s41065-018-0078-0) contains supplementary material, which is available to authorized users.
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Yang Z, Li H, Li J, Lv X, Gao M, Bi Y, Zhang Z, Wang S, Li S, Li N, Cui Z, Zhou B, Yin Z. Association Between Long Noncoding RNAMEG3Polymorphisms and Lung Cancer Susceptibility in Chinese Northeast Population. DNA Cell Biol 2018; 37:812-820. [DOI: 10.1089/dna.2018.4277] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Zitai Yang
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Hang Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Juan Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Xiaoting Lv
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Min Gao
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Yanhong Bi
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Ziwei Zhang
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Shengli Wang
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Sixuan Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Na Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Zhigang Cui
- School of Nursing, China Medical University, Shenyang, People's Republic of China
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, People's Republic of China
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Eclov RJ, Kim MJ, Smith R, Ahituv N, Kroetz DL. Rare Variants in the ABCG2 Promoter Modulate In Vivo Activity. Drug Metab Dispos 2018; 46:636-642. [PMID: 29467213 PMCID: PMC5896364 DOI: 10.1124/dmd.117.079541] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 02/15/2018] [Indexed: 11/22/2022] Open
Abstract
ABCG2 encodes the breast cancer resistance protein (BCRP), an efflux membrane transporter important in the detoxification of xenobiotics. In the present study, the basal activity of the ABCG2 promoter in liver, kidney, intestine, and breast cell lines was examined using luciferase reporter assays. The promoter activities of reference and variant ABCG2 sequences were compared in human hepatocellular carcinoma cell (HepG2), human embryonic kidney cell (HEK293T), human colorectal carcinoma cell (HCT116), and human breast adenocarcinoma cell (MCF-7) lines. The ABCG2 promoter activity was strongest in the kidney and intestine cell lines. Four variants in the basal ABCG2 promoter (rs76656413, rs66664036, rs139256004, and rs59370292) decreased the promoter activity by 25%-50% in at least three of the four cell lines. The activity of these four variants was also examined in vivo using the hydrodynamic tail vein assay, and two single nucleotide polymorphisms (rs76656413 and rs59370292) significantly decreased in vivo liver promoter activity by 50%-80%. Electrophoretic mobility shift assays confirmed a reduction in nuclear protein binding to the rs59370292 variant probe, whereas the rs76656413 probe had a shift in transcription factor binding specificity. Although both rs59370292 and rs76656413 are rare variants in all populations, they could contribute to patient-level variation in ABCG2 expression in the kidney, liver, and intestine.
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Affiliation(s)
- Rachel J Eclov
- Department of Bioengineering and Therapeutic Sciences (R.J.E., M.J.K., R.S., N.A., D.L.K.) and Institute for Human Genetics (N.A., M.J.K., R.S., D.L.K.), University of California San Francisco, San Francisco, California
| | - Mee J Kim
- Department of Bioengineering and Therapeutic Sciences (R.J.E., M.J.K., R.S., N.A., D.L.K.) and Institute for Human Genetics (N.A., M.J.K., R.S., D.L.K.), University of California San Francisco, San Francisco, California
| | - Robin Smith
- Department of Bioengineering and Therapeutic Sciences (R.J.E., M.J.K., R.S., N.A., D.L.K.) and Institute for Human Genetics (N.A., M.J.K., R.S., D.L.K.), University of California San Francisco, San Francisco, California
| | - Nadav Ahituv
- Department of Bioengineering and Therapeutic Sciences (R.J.E., M.J.K., R.S., N.A., D.L.K.) and Institute for Human Genetics (N.A., M.J.K., R.S., D.L.K.), University of California San Francisco, San Francisco, California
| | - Deanna L Kroetz
- Department of Bioengineering and Therapeutic Sciences (R.J.E., M.J.K., R.S., N.A., D.L.K.) and Institute for Human Genetics (N.A., M.J.K., R.S., D.L.K.), University of California San Francisco, San Francisco, California
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Fang X, Yin Z, Li X, Xia L, Quan X, Zhao Y, Zhou B. Multiple functional SNPs in differentially expressed genes modify risk and survival of non-small cell lung cancer in Chinese female non-smokers. Oncotarget 2017; 8:18924-18934. [PMID: 28148898 PMCID: PMC5386658 DOI: 10.18632/oncotarget.14836] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 01/11/2017] [Indexed: 11/25/2022] Open
Abstract
DNA genotype can affect gene expression, and gene expression can influence the onset and progression of diseases. Here we conducted a comprehensive study, we integrated analysis of gene expression profile and single nucleotide polymorphism (SNP) microarray data in order to scan out the critical genetic changes that participate in the onset and development of non-small cell lung cancer (NSCLC). Gene expression profile datasets were downloaded from the GEO database. Firstly, differentially expressed genes (DEGs) between NSCLC samples and adjacent normal samples were identified. Next, by STRING database, protein-protein interaction (PPI) network was constructed. At the same time, hub genes in PPI network were identified. Then, some functional SNPs in hub genes that may affect gene expression have been annotated. Finally, we carried a study to explore the relationship between functional SNPs and NSCLC risk and overall survival in Chinese female non-smokers. A total of 488 DEGs were identified in our study. There are 29 proteins with a higher degree of connectivity in the PPI network, including FOS, IL6 and MMP9. By using database annotation, we got 8 candidate functional SNPs that may affect the expression level of hub proteins. In the case-control study, we found that rs4754-T allele, rs959173-C allele and rs2239144-G allele were the protective allele of NSCLC risk. In dominant model, rs4754-CT+TT genotype were associated with a shorter survival time. In general, our study provides a novel research direction in the field of multi-omic data integration, and helps us find some critical genetic changes in disease.
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Affiliation(s)
- Xue Fang
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Provincial Department of Education, Liaoning, China
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Provincial Department of Education, Liaoning, China
| | - Xuelian Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Provincial Department of Education, Liaoning, China
| | - Lingzi Xia
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Provincial Department of Education, Liaoning, China
| | - Xiaowei Quan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Provincial Department of Education, Liaoning, China
| | - Yuxia Zhao
- Department of Radiotherapy, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Provincial Department of Education, Liaoning, China
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ABC transporter polymorphisms are associated with irinotecan pharmacokinetics and neutropenia. THE PHARMACOGENOMICS JOURNAL 2016; 18:35-42. [PMID: 27845419 DOI: 10.1038/tpj.2016.75] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2015] [Revised: 05/09/2016] [Accepted: 08/25/2016] [Indexed: 12/22/2022]
Abstract
Neutropenia is a common dose-limiting toxicity associated with irinotecan treatment. Although UGT1A1 variants have been associated with neutropenia, a fraction of neutropenia risk remains unaccounted for. To identify additional genetic markers contributing to variability in irinotecan pharmacokinetics and neutropenia, a regression analysis was performed in 78 irinotecan-treated patients to analyze comprehensively three hepatic efflux transporter genes (ABCB1, ABCC1 and ABCG2). rs6498588 (ABCC1) and rs12720066 (ABCB1) were associated with increased SN-38 exposure, and rs17501331 (ABCC1) and rs12720066 were associated with lower absolute neutrophil count nadir. rs6498588 and a variant in high linkage disequilibrium are located in transcriptionally active regions or are predicted to alter transcription factor binding sites. While enhancer activity was not evident in vitro for genomic regions containing these single-nucleotide polymorphisms, rs6498588 was significantly associated with ABCC1 expression in human liver. These results suggest that genetic variation in ABCC1 and ABCB1 may contribute to irinotecan-induced neutropenia by altering expression of transporters involved in irinotecan metabolite disposition.
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Hareedy MS, El Desoky ES, Woillard JB, Thabet RH, Ali AM, Marquet P, Picard N. Genetic variants in 6-mercaptopurine pathway as potential factors of hematological toxicity in acute lymphoblastic leukemia patients. Pharmacogenomics 2015; 16:1119-34. [PMID: 26237184 DOI: 10.2217/pgs.15.62] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
AIM We investigated the associations between variants in genes coding for enzymes and transporters related to the 6-mercaptopurine pathway and clinical outcomes in pediatric patients with acute lymphoblastic leukemia. MATERIALS & METHODS Statistical association between gender, age and genotypes of selected SNPs, and the risks of hematological toxicity and relapse were investigated using a Cox proportional hazard model in 70 acute lymphoblastic leukemia patients from upper Egypt. RESULTS We found significant associations between ITPA, IMPDH1, SLC29A1, SLC28A2, SLC28A3 and ABCC4 SNPs and one or more of the hematological toxicity manifestations (neutropenia, agranulocytosis and leukopenia); age was significantly related to relapse. CONCLUSION Genetic polymorphisms in enzymes and transporters involved in the 6-mercaptopurine pathway should be considered during its use to avoid hematological toxicity.
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Affiliation(s)
- Mohammad Salem Hareedy
- Department of Pharmacology, Faculty of Medicine, Assiut University, 71515 Assiut, Egypt.,Inserm, UMR-850, Limoges, France
| | - Ehab S El Desoky
- Department of Pharmacology, Faculty of Medicine, Assiut University, 71515 Assiut, Egypt
| | - Jean-Baptiste Woillard
- Inserm, UMR-850, Limoges, France.,Department of Pharmacology, Toxicology & Pharmacovigilance, CHU Limoges, Limoges, France.,Faculty of Medicine, Laboratory of Medical Pharmacology, University of Limoges, Limoges, France
| | - Romany Helmy Thabet
- Department of Pharmacology, Faculty of Medicine, Assiut University, 71515 Assiut, Egypt
| | | | - Pierre Marquet
- Inserm, UMR-850, Limoges, France.,Department of Pharmacology, Toxicology & Pharmacovigilance, CHU Limoges, Limoges, France.,Faculty of Medicine, Laboratory of Medical Pharmacology, University of Limoges, Limoges, France
| | - Nicolas Picard
- Inserm, UMR-850, Limoges, France.,Department of Pharmacology, Toxicology & Pharmacovigilance, CHU Limoges, Limoges, France.,South Egypt Cancer Institute, Assiut University, Assiut, Egypt
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Cusato J, Allegra S, De Nicolò A, Boglione L, Fatiguso G, Cariti G, Ciancio A, Smedile A, Strona S, Troshina G, Rizzetto M, Di Perri G, D'Avolio A. ABCB11 and ABCB1 gene polymorphisms impact on telaprevir pharmacokinetic at one month of therapy. Biomed Pharmacother 2014; 69:63-9. [PMID: 25661339 DOI: 10.1016/j.biopha.2014.11.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Accepted: 11/05/2014] [Indexed: 12/24/2022] Open
Abstract
In 2011 direct-acting antivirals, including telaprevir, have been developed to achieve a better antiviral effect. It was reported that telaprevir is a substrate of P-glycoprotein (ABCB1) and cytochrome P450 3A4. The aim of this retrospective study was the evaluation of the influence of some single nucleotide polymorphisms (SNPs) of genes (ABCB1, SLC28A2/3, SLC29A1) involved in TLV and RBV transport and their correlation with plasma TLV drug exposure at 1 month of therapy. We also investigated the association of a SNP in ABCB11 gene, whose role in TLV transport was not yet shown. Twenty-nine HCV-1 patients treated with telaprevir, ribavirin and pegylated-interferon-α were retrospectively analyzed; allelic discrimination was performed by real-time PCR. Telaprevir Ctrough levels were influenced by Metavir score (P=0.023), ABCB1 2677 G>T (P=0.006), ABCB1 1236 C>T (P=0.015) and ABCB11 1131 T>C (P=0.033) SNPs. Regarding ABCB1 3435 C>T, a not statistically significant trend in telaprevir plasma concentration was observed. Metavir score (P=0.002, OR -336; 95% CI -535;-138), ABCB1 2677 (P=0.020, OR 497; 95% CI 86; 910), ABCB11 1131 (P=0.002, OR 641; 95% CI 259;1023) and CNT2 -146 (P=0.006, OR -426; 95% CI -721;-132) were able to predict telaprevir plasma levels in the regression analysis. Other SNPs showed no association. This study reveals BSEP implication in telaprevir transport and confirms the involvement and influence of P-glycoprotein on telaprevir plasma levels. To date, no similar data concerning pharmacogenetics and pharmacokinetics were published, but further studies in different and bigger cohorts are needed.
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Affiliation(s)
- Jessica Cusato
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy.
| | - Sarah Allegra
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy
| | - Amedeo De Nicolò
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy
| | - Lucio Boglione
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy
| | - Giovanna Fatiguso
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy
| | - Giuseppe Cariti
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy
| | - Alessia Ciancio
- Unit of Gastroenterology, University of Turin, Department of Medical Sciences, S. Giovanni Battista (Molinette) Hospital, Turin, Italy
| | - Antonina Smedile
- Unit of Gastroenterology, University of Turin, Department of Medical Sciences, S. Giovanni Battista (Molinette) Hospital, Turin, Italy
| | - Silvia Strona
- Unit of Gastroenterology, University of Turin, Department of Medical Sciences, S. Giovanni Battista (Molinette) Hospital, Turin, Italy
| | - Giulia Troshina
- Unit of Gastroenterology, University of Turin, Department of Medical Sciences, S. Giovanni Battista (Molinette) Hospital, Turin, Italy
| | - Mario Rizzetto
- Unit of Gastroenterology, University of Turin, Department of Medical Sciences, S. Giovanni Battista (Molinette) Hospital, Turin, Italy
| | - Giovanni Di Perri
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy
| | - Antonio D'Avolio
- Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Turin, Italy
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Allegra S, Cusato J, De Nicolò A, Boglione L, Gatto A, Cariti G, Di Perri G, D'Avolio A. Role of pharmacogenetic in ribavirin outcome prediction and pharmacokinetics in an Italian cohort of HCV-1 and 4 patients. Biomed Pharmacother 2014; 69:47-55. [PMID: 25661337 DOI: 10.1016/j.biopha.2014.10.030] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 10/27/2014] [Indexed: 02/07/2023] Open
Abstract
Ribavirin is phosphorylated by adenosine kinase 1 (AK1) and cytosolic 5'-nucleotidase 2 and it is transported into cells by concentrative nucleoside transporters (CNT) 2/3, coded by SLC28A2/3 genes, and equilibrative nucleoside transporters (ENT) 1/2, coded by SLC29A1/2 genes. We evaluated the association of some polymorphisms of IL28B, SLC28A2/3, SLC29A1, ABCB1, NT5C2, AK1, HNF4α genes and ribavirin treatment outcome and pharmacokinetics after 4weeks of therapy, in a cohort of HCV-1/4 Italian patients. Allelic discrimination was performed by real-time PCR; plasma concentrations were determined at the end of dosing interval (Ctrough) using an HPLC-UV method. Non response was negatively predicted by cryoglobulinemia and IL28B_rs12980275 AA genotype and positively by Metavir score; Metavir score, insulin resistance and SLC28A2_rs1060896 CA/AA and HNF4α_rs1884613 CC genotypes were negative predictive factors of SVR, whereas HCV viral load at baseline and IL28B_rs12980275 AA and rs8099917 TT genotypes positively predicted this outcome; RVR was negatively predicted by insulin resistance and positively by cryoglobulinemia and IL28B_rs12980275 AA genotype; Metavir score and insulin resistance were able to negatively predict EVR, whereas cryoglobulinemia and IL28B_rs12980275 AA genotype positively predicted it; at last, virological relapse was negatively predicted by IL28B_rs8099917 TT and AK1_rs1109374 TT genotypes, insulin resistance was a positive predictor factor. Concerning ribavirin pharmacokinetics, SLC28A2_rs11854488 TT was related to lower Ctrough levels; conversely patients with TC profile of SLC28A3_rs10868138 and SLC29A1_rs760370 GG genotype had higher ribavirin levels. These results might contribute to the clarification of mechanisms causing the individuality in the response to ribavirin containing therapy.
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Affiliation(s)
- Sarah Allegra
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy
| | - Jessica Cusato
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy.
| | - Amedeo De Nicolò
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy
| | - Lucio Boglione
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy
| | - Alberto Gatto
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy
| | - Giuseppe Cariti
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy
| | - Giovanni Di Perri
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy
| | - Antonio D'Avolio
- Laboratory of Clinical Pharmacology and Pharmacogenetics(2), Unit of Infectious Diseases, University of Turin, Department of Medical Sciences, Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Turin, Italy
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12
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Errasti-Murugarren E, Fernández-Calotti P, Veyhl-Wichmann M, Diepold M, Pinilla-Macua I, Pérez-Torras S, Kipp H, Koepsell H, Pastor-Anglada M. Role of the Transporter Regulator Protein (RS1) in the Modulation of Concentrative Nucleoside Transporters (CNTs) in Epithelia. Mol Pharmacol 2012; 82:59-67. [DOI: 10.1124/mol.111.076992] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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13
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Chen L, Hong C, Chen EC, Yee SW, Xu L, Almof EU, Wen C, Fujii K, Johns SJ, Stryke D, Ferrin TE, Simko J, Chen X, Costello JF, Giacomini KM. Genetic and epigenetic regulation of the organic cation transporter 3, SLC22A3. THE PHARMACOGENOMICS JOURNAL 2012; 13:110-20. [PMID: 22231567 PMCID: PMC3396779 DOI: 10.1038/tpj.2011.60] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Human organic cation transporter 3 (OCT3 and SLC22A3) mediates the uptake of many important endogenous amines and basic drugs in a variety of tissues. OCT3 is identified as one of the important risk loci for prostate cancer, and is markedly underexpressed in aggressive prostate cancers. The goal of this study was to identify genetic and epigenetic factors in the promoter region that influence the expression level of OCT3. Haplotypes that contained the common variants, g.-81G>delGA (rs60515630) (minor allele frequency 11.5% in African American) and g.-2G>A (rs555754) (minor allele frequency>30% in all ethnic groups) showed significant increases in luciferase reporter activities and exhibited stronger transcription factor-binding affinity than the haplotypes that contained the major alleles. Consistent with the reporter assays, OCT3 messenger RNA expression levels were significantly higher in Asian (P<0.001) and Caucasian (P<0.05) liver samples from individuals who were homozygous for g.-2A/A in comparison with those homozygous for the g.-2G/G allele. Studies revealed that the methylation level in the basal promoter region of OCT3 was associated with OCT3 expression level and tumorigenesis capability in various prostate cancer cell lines. The methylation level of the OCT3 promoter was higher in 62% of prostate tumor samples compared with matched normal samples. Our studies demonstrate that genetic polymorphisms in the proximal promoter region of OCT3 alter the transcription rate of the gene and may be associated with altered expression levels of OCT3 in human liver. Aberrant methylation contributes to the reduced expression of OCT3 in prostate cancer.
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Affiliation(s)
- L Chen
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, CA 94158, USA
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14
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A common 5'-UTR variant in MATE2-K is associated with poor response to metformin. Clin Pharmacol Ther 2011; 90:674-84. [PMID: 21956618 DOI: 10.1038/clpt.2011.165] [Citation(s) in RCA: 108] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Multidrug and toxin extrusion 2 (MATE2-K (SLC47A2)), a polyspecific organic cation exporter, facilitates the renal elimination of the antidiabetes drug metformin. In this study, we characterized genetic variants of MATE2-K, determined their association with metformin response, and elucidated their impact by means of a comparative protein structure model. Four nonsynonymous variants and four variants in the MATE2-K basal promoter region were identified from ethnically diverse populations. Two nonsynonymous variants-c.485C>T and c.1177G>A-were shown to be associated with significantly lower metformin uptake and reduction in protein expression levels. MATE2-K basal promoter haplotypes containing the most common variant, g.-130G>A (>26% allele frequency), were associated with a significant increase in luciferase activities and reduced binding to the transcriptional repressor myeloid zinc finger 1 (MZF-1). Patients with diabetes who were homozygous for g.-130A had a significantly poorer response to metformin treatment, assessed as relative change in glycated hemoglobin (HbA1c) (-0.027 (-0.076, 0.033)), as compared with carriers of the reference allele, g.-130G (-0.15 (-0.17, -0.13)) (P=0.002). Our study showed that MATE2-K plays a role in the antidiabetes response to metformin.
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15
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Matsson P, Yee SW, Markova S, Morrissey K, Jenkins G, Xuan J, Jorgenson E, Kroetz DL, Giacomini KM. Discovery of regulatory elements in human ATP-binding cassette transporters through expression quantitative trait mapping. THE PHARMACOGENOMICS JOURNAL 2011; 12:214-26. [PMID: 21383772 PMCID: PMC3325368 DOI: 10.1038/tpj.2011.8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
ATP-Binding Cassette (ABC) membrane transporters determine the disposition of many drugs, metabolites and endogenous compounds. Coding region variation in ABC transporters is the cause of many genetic disorders, but much less is known about the genetic basis and functional outcome of ABC transporter expression level variation. We used genotype and mRNA transcript level data from human lymphoblastoid cell lines to assess population and gender differences in ABC transporter expression, and to guide the discovery of genomic regions involved in transcriptional regulation. Nineteen of 49 ABC genes were differentially expressed between individuals of African, Asian and European descent suggesting an important influence of race on expression level of ABC transporters. Twenty-four significant associations were found between transporter transcript levels and proximally located genetic variants. Several of the associations were experimentally validated in reporter assays. Through influencing ABC expression levels, these SNPs may affect disease susceptibility and response to drugs.
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Affiliation(s)
- P Matsson
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
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16
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Leclerc J, Courcot-Ngoubo Ngangue E, Cauffiez C, Allorge D, Pottier N, Lafitte JJ, Debaert M, Jaillard S, Broly F, Lo-Guidice JM. Xenobiotic metabolism and disposition in human lung: transcript profiling in non-tumoral and tumoral tissues. Biochimie 2011; 93:1012-27. [PMID: 21376776 DOI: 10.1016/j.biochi.2011.02.012] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2010] [Accepted: 02/22/2011] [Indexed: 11/30/2022]
Abstract
The lung is directly exposed to a wide variety of inhaled toxicants and carcinogens. In order to improve our knowledge of the cellular processing of these compounds in the respiratory tract, we investigated the mRNA expression level of 380 genes encoding xenobiotic-metabolizing enzymes (XME), transporters, nuclear receptors and transcription factors, in pulmonary parenchyma (PP), bronchial mucosa (BM) and tumoral lung tissues from 12 patients with non-small cell lung cancer (NSCLC). Using a high throughput quantitative real-time RT-PCR method, we found that ADH1B, CYP4B1, CES1 and GSTP1 are the major XME genes expressed both in BM and PP. Our results also documented the predominant role played by the xenosensor AhR in human lung. The gene expression profiles were different for BM and PP, with a tendency toward increased mRNA levels of phase I and phase II XME genes in BM, suggesting major differences in the initial stages of xenobiotic metabolism. Some of the significantly overexpressed genes in BM (i.e. CYP2F1, CYP2A13, CYP2W1, NQO1…) encode proteins involved in the bioactivation of procarcinogens, pointing out distinct susceptibility to xenobiotics and their toxic effects between these two tissue types. Additionally, interindividual differences in transcript levels observed for some genes may be of genetic origin and may contribute to the variability in response to environmental exposure and, consequently, in the risk of developing lung diseases. A global decrease in gene expression was observed in tumoral specimens. Some of the proteins are involved in the metabolism or transport of anti-cancer drugs and their influence in the response of tumors to chemotherapy should be considered. In conclusion, the present study provides an overview of the cellular response to toxicants and drugs in healthy and cancerous human lung tissues, and thus improves our understanding of the mechanisms of chemical carcinogenesis as well as cellular resistance to chemotherapy.
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Affiliation(s)
- Julie Leclerc
- Equipe d'accueil EA4483, Faculté de Médecine Pôle Recherche, Université Lille Nord de France, 1 Place de Verdun, 59045 Lille, France.
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17
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Functional characterization of liver enhancers that regulate drug-associated transporters. Clin Pharmacol Ther 2011; 89:571-8. [PMID: 21368754 DOI: 10.1038/clpt.2010.353] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Little is known about how genetic variations in enhancers influence drug response. In this study, we investigated whether nucleotide variations in enhancers that regulate drug transporters can alter their expression levels. Using comparative genomics and liver-specific transcription factor binding site (TFBS) analyses, we identified evolutionary conserved regions (ECRs) surrounding nine liver membrane transporters that interact with commonly used pharmaceuticals. The top 50 ECRs were screened for enhancer activity in vivo, of which five--located around ABCB11, SLC10A1, SLCO1B1, SLCO1A2, and SLC47A1--exhibited significant enhancer activity. Common variants identified in a large ethnically diverse cohort (n = 272) were assayed for differential enhancer activity, and three variants were found to have significant effects on reporter activity as compared with the reference allele. In addition, one variant was associated with reduced SLCO1A2 mRNA expression levels in human liver tissues, and another was associated with increased methotrexate (MTX) clearance in patients. This work provides a general model for the rapid characterization of liver enhancers and identifies associations between enhancer variants and drug response.
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18
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Klein K, Jüngst C, Mwinyi J, Stieger B, Krempler F, Patsch W, Eloranta JJ, Kullak-Ublick GA. The human organic anion transporter genes OAT5 and OAT7 are transactivated by hepatocyte nuclear factor-1α (HNF-1α). Mol Pharmacol 2010; 78:1079-87. [PMID: 20829431 DOI: 10.1124/mol.110.065201] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Organic anion transporters (OATs) are anion exchangers that transport small hydrophilic anions and diuretics, antibiotics, nonsteroidal anti-inflammatory drugs, antiviral nucleoside analogs, and antitumor drugs across membrane barriers of epithelia of diverse organs. Three OATs are present in human liver: OAT2, OAT5, and OAT7. Given that hepatocyte nuclear factor-1α (HNF-1α) has previously been shown to regulate the expression of several hepatocellular transporter genes, we investigated whether the liver-specific human OAT genes are also regulated by HNF-1α. Short interfering RNAs targeting HNF-1α reduced endogenous expression of OAT5 and OAT7, but not OAT2, in human liver-derived Huh7 cells. Luciferase reporter gene constructs containing the OAT5 (SLC22A10) and OAT7 (SLC22A9) promoter regions were transactivated by HNF-1α in HepG2 cells. Two putative HNF-1α binding elements in the proximal OAT5 promoter, located at nucleotides -68/-56 and -173/-160, and one element in the OAT7 promoter, located at nucleotides -14/-2 relative to the transcription start site, were shown to bind HNF-1α in electromobility shift assays, and these promoter regions also interacted with HNF-1α in chromatin immunoprecipitation assays. A correlation between HNF-1α and OAT5 (r = 0.134, P < 0.05) or OAT7 (r = 0.461, P < 0.001) mRNA expression levels in surgical liver biopsies from 75 patients further supported an important role of HNF-1α in the regulation of OAT gene expression.
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Affiliation(s)
- Kerstin Klein
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, Rämistrasse 100, Zurich, Switzerland
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19
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Yee SW, Chen L, Giacomini KM. Pharmacogenomics of membrane transporters: past, present and future. Pharmacogenomics 2010; 11:475-9. [PMID: 20350125 DOI: 10.2217/pgs.10.22] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Membrane transporters are major determinants of the absorption, distribution and elimination of many of the most commonly used drugs. In the past decade, the field of membrane transporter pharmacogenomics has undergone enormous growth. In particular, functional genomic and clinical studies have provided new information regarding the contribution of coding variants in transporters to drug disposition and response. With continuing advances in sequencing technologies and large-scale human variation studies, over the next decade, knowledge in the field will be transformed. In particular, functional variants in noncoding regions of transporters will be discovered, and large clinical studies will result in the identification of variants in multiple genes, including transporter genes, which contribute to variation in clinical drug response.
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Affiliation(s)
- Sook Wah Yee
- School of Pharmacy, University of California San Francisco, CA 94143-2911, USA
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20
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Errasti-Murugarren E, Pastor-Anglada M. Drug transporter pharmacogenetics in nucleoside-based therapies. Pharmacogenomics 2010; 11:809-41. [PMID: 20504255 DOI: 10.2217/pgs.10.70] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
This article focuses on the different types of transporter proteins that have been implicated in the influx and efflux of nucleoside-derived drugs currently used in the treatment of cancer, viral infections (i.e., AIDS) and other conditions, including autoimmune and inflammatory diseases. Genetic variations in nucleoside-derived drug transporter proteins encoded by the gene families SLC15, SLC22, SLC28, SLC29, ABCB, ABCC and ABCG will be specifically considered. Variants known to affect biological function are summarized, with a particular emphasis on those for which clinical correlations have already been established. Given that relatively little is known regarding the genetic variability of the players involved in determining nucleoside-derived drug bioavailability, it is anticipated that major challenges will be faced in this area of research.
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Affiliation(s)
- Ekaitz Errasti-Murugarren
- The Department of Biochemistry and Molecular Biology, Institute of Biomedicine, University of Barcelona, Diagonal 645, 08028 Barcelona, Spain
- Center for Biomedical Research Network in the Subject Area of Liver and Digestive Diseases (CIBERehd), Barcelona 08071, Spain
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21
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Kroetz DL, Ahituv N, Burchard EG, Guo S, Sali A, Giacomini KM. Institutional Profile: The University of California Pharmacogenomics Center: at the interface of genomics, biological mechanisms and drug therapy. Pharmacogenomics 2010; 10:1569-76. [PMID: 19842929 DOI: 10.2217/pgs.09.119] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The Pharmacogenomics Center of the University of California, San Francisco (CA, USA) fosters research and educational activities focused on the genomic basis for variation in drug response. Investigators in the Center conduct multidisciplinary and multicenter research on a diverse array of clinically used drugs with the goal of understanding the genetic factors that contribute to variation in therapeutic and adverse drug response. The Center houses the large NIH-supported Pharmacogenomics of Membrane Transporters Project, which is a leader in understanding genetic variation in membrane transporters that are important in clinical drug response. Center investigators study racially and ethnically diverse populations, are pioneers in the education of PharmD, MD and PhD students in pharmacogenomics, and have led the establishment of unique graduate and postdoctoral training programs focused on pharmacogenomics. A key emphasis of the Center is on biological mechanisms with a goal of facilitating the development of safer and more effective medications.
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Affiliation(s)
- Deanna L Kroetz
- Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA
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22
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Welsh M, Mangravite L, Medina MW, Tantisira K, Zhang W, Huang RS, McLeod H, Dolan ME. Pharmacogenomic discovery using cell-based models. Pharmacol Rev 2010; 61:413-29. [PMID: 20038569 DOI: 10.1124/pr.109.001461] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Quantitative variation in response to drugs in human populations is multifactorial; genetic factors probably contribute to a significant extent. Identification of the genetic contribution to drug response typically comes from clinical observations and use of classic genetic tools. These clinical studies are limited by our inability to control environmental factors in vivo and the difficulty of manipulating the in vivo system to evaluate biological changes. Recent progress in dissecting genetic contribution to natural variation in drug response through the use of cell lines has been made and is the focus of this review. A general overview of current cell-based models used in pharmacogenomic discovery and validation is included. Discussion includes the current approach to translate findings generated from these cell-based models into the clinical arena and the use of cell lines for functional studies. Specific emphasis is given to recent advances emerging from cell line panels, including the International HapMap Project and the NCI60 cell panel. These panels provide a key resource of publicly available genotypic, expression, and phenotypic data while allowing researchers to generate their own data related to drug treatment to identify genetic variation of interest. Interindividual and interpopulation differences can be evaluated because human lymphoblastoid cell lines are available from major world populations of European, African, Chinese, and Japanese ancestry. The primary focus is recent progress in the pharmacogenomic discovery area through ex vivo models.
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Affiliation(s)
- Marleen Welsh
- Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
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23
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Klaassen CD, Aleksunes LM. Xenobiotic, bile acid, and cholesterol transporters: function and regulation. Pharmacol Rev 2010; 62:1-96. [PMID: 20103563 PMCID: PMC2835398 DOI: 10.1124/pr.109.002014] [Citation(s) in RCA: 563] [Impact Index Per Article: 40.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Transporters influence the disposition of chemicals within the body by participating in absorption, distribution, and elimination. Transporters of the solute carrier family (SLC) comprise a variety of proteins, including organic cation transporters (OCT) 1 to 3, organic cation/carnitine transporters (OCTN) 1 to 3, organic anion transporters (OAT) 1 to 7, various organic anion transporting polypeptide isoforms, sodium taurocholate cotransporting polypeptide, apical sodium-dependent bile acid transporter, peptide transporters (PEPT) 1 and 2, concentrative nucleoside transporters (CNT) 1 to 3, equilibrative nucleoside transporter (ENT) 1 to 3, and multidrug and toxin extrusion transporters (MATE) 1 and 2, which mediate the uptake (except MATEs) of organic anions and cations as well as peptides and nucleosides. Efflux transporters of the ATP-binding cassette superfamily, such as ATP-binding cassette transporter A1 (ABCA1), multidrug resistance proteins (MDR) 1 and 2, bile salt export pump, multidrug resistance-associated proteins (MRP) 1 to 9, breast cancer resistance protein, and ATP-binding cassette subfamily G members 5 and 8, are responsible for the unidirectional export of endogenous and exogenous substances. Other efflux transporters [ATPase copper-transporting beta polypeptide (ATP7B) and ATPase class I type 8B member 1 (ATP8B1) as well as organic solute transporters (OST) alpha and beta] also play major roles in the transport of some endogenous chemicals across biological membranes. This review article provides a comprehensive overview of these transporters (both rodent and human) with regard to tissue distribution, subcellular localization, and substrate preferences. Because uptake and efflux transporters are expressed in multiple cell types, the roles of transporters in a variety of tissues, including the liver, kidneys, intestine, brain, heart, placenta, mammary glands, immune cells, and testes are discussed. Attention is also placed upon a variety of regulatory factors that influence transporter expression and function, including transcriptional activation and post-translational modifications as well as subcellular trafficking. Sex differences, ontogeny, and pharmacological and toxicological regulation of transporters are also addressed. Transporters are important transmembrane proteins that mediate the cellular entry and exit of a wide range of substrates throughout the body and thereby play important roles in human physiology, pharmacology, pathology, and toxicology.
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Affiliation(s)
- Curtis D Klaassen
- Department of Pharmacology, Toxicology, and Therapeutics, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160-7417, USA.
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24
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The pharmacogenomics of membrane transporters project: research at the interface of genomics and transporter pharmacology. Clin Pharmacol Ther 2009; 87:109-16. [PMID: 19940846 DOI: 10.1038/clpt.2009.226] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Since the cloning of the first membrane transporter, our understanding of the role of transporters in clinical drug disposition and response has grown enormously. In parallel, large-scale genome-wide variation studies and the emerging field of pharmacogenomics have ushered in a new understanding of variations in drug response. At the crossroads of pharmacogenomics and transporter biology is the National Institutes of Health-funded Pharmacogenomics of Membrane Transporters (PMT) project, centered at the University of California, San Francisco.
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25
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Hesselson SE, Matsson P, Shima JE, Fukushima H, Yee SW, Kobayashi Y, Gow JM, Ha C, Ma B, Poon A, Johns SJ, Stryke D, Castro RA, Tahara H, Choi JH, Chen L, Picard N, Sjödin E, Roelofs MJE, Ferrin TE, Myers R, Kroetz DL, Kwok PY, Giacomini KM. Genetic variation in the proximal promoter of ABC and SLC superfamilies: liver and kidney specific expression and promoter activity predict variation. PLoS One 2009; 4:e6942. [PMID: 19742321 PMCID: PMC2735003 DOI: 10.1371/journal.pone.0006942] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2009] [Accepted: 08/05/2009] [Indexed: 12/11/2022] Open
Abstract
Membrane transporters play crucial roles in the cellular uptake and efflux of an array of small molecules including nutrients, environmental toxins, and many clinically used drugs. We hypothesized that common genetic variation in the proximal promoter regions of transporter genes contribute to observed variation in drug response. A total of 579 polymorphisms were identified in the proximal promoters (−250 to +50 bp) and flanking 5′ sequence of 107 transporters in the ATP Binding Cassette (ABC) and Solute Carrier (SLC) superfamilies in 272 DNA samples from ethnically diverse populations. Many transporter promoters contained multiple common polymorphisms. Using a sliding window analysis, we observed that, on average, nucleotide diversity (π) was lowest at approximately 300 bp upstream of the transcription start site, suggesting that this region may harbor important functional elements. The proximal promoters of transporters that were highly expressed in the liver had greater nucleotide diversity than those that were highly expressed in the kidney consistent with greater negative selective pressure on the promoters of kidney transporters. Twenty-one promoters were evaluated for activity using reporter assays. Greater nucleotide diversity was observed in promoters with strong activity compared to promoters with weak activity, suggesting that weak promoters are under more negative selective pressure than promoters with high activity. Collectively, these results suggest that the proximal promoter region of membrane transporters is rich in variation and that variants in these regions may play a role in interindividual variation in drug disposition and response.
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Affiliation(s)
- Stephanie E. Hesselson
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, United States of America
| | - Pär Matsson
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - James E. Shima
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Hisayo Fukushima
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Sook Wah Yee
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Yuya Kobayashi
- Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America
| | - Jason M. Gow
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Connie Ha
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, United States of America
| | - Benjamin Ma
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, United States of America
| | - Annie Poon
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, United States of America
| | - Susan J. Johns
- Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
| | - Doug Stryke
- Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
| | - Richard A. Castro
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Harunobu Tahara
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Ji Ha Choi
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Ligong Chen
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Nicolas Picard
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Elin Sjödin
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Maarke J. E. Roelofs
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Thomas E. Ferrin
- Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
| | - Richard Myers
- Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America
| | - Deanna L. Kroetz
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Pui-Yan Kwok
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, United States of America
| | - Kathleen M. Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, United States of America
- * E-mail:
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