Literature DB >> 26616152

The role of ADME pharmacogenomics in early clinical trials: perspective of the Industry Pharmacogenomics Working Group (I-PWG).

Larry Tremaine1, William Brian2, Terrye DelMonte3, Stephan Francke4, Peter Groenen5, Keith Johnson6,7, Lei Li6,7, Kimberly Pearson2, Jean-Claude Marshall1.   

Abstract

Genetic polymorphisms in metabolizing enzymes and drug transporters have been shown to significantly impact the exposure of drugs having a high dependence on a single mechanism for their absorption, distribution or clearance, such that genotyping can lead to actionable steps in disease treatment. Recently, global regulatory agencies have provided guidance for assessment of pharmacogenomics during early stages of drug development, both in the form of formal guidance and perspectives published in scientific journals. The Industry Pharmacogenomics Working Group (I-PWG), conducted a survey among member companies to assess the practices relating to absorption, distribution, metabolism, excretion pharmacogenomics) during early stages of clinical development, to assess the impact of the recent Regulatory Guidance issued by the US FDA and EMA on Industry practices.

Keywords:  ADME; Regulatory Guidance; absorption, distribution, metabolism and excretion; drug metabolism; drug transporters; pharmacogenomics; pharmacokinetics

Mesh:

Year:  2015        PMID: 26616152      PMCID: PMC5558530          DOI: 10.2217/pgs.15.141

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  27 in total

1.  DNA, drugs and chariots: on a decade of pharmacogenomics at the US FDA.

Authors:  Lawrence J Lesko; Issam Zineh
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

2.  Generating and weighing evidence in drug development and regulatory decision making: 5th US FDA-DIA workshop on pharmacogenomics.

Authors:  Peter M Shaw; Issam Zineh
Journal:  Pharmacogenomics       Date:  2010-12       Impact factor: 2.533

Review 3.  Drug interaction studies: study design, data analysis, and implications for dosing and labeling.

Authors:  S-M Huang; R Temple; D C Throckmorton; L J Lesko
Journal:  Clin Pharmacol Ther       Date:  2007-02       Impact factor: 6.875

Review 4.  Mechanism-based pharmacokinetic-pharmacodynamic (PK-PD) modeling in translational drug research.

Authors:  Meindert Danhof; Elizabeth C M de Lange; Oscar E Della Pasqua; Bart A Ploeger; Rob A Voskuyl
Journal:  Trends Pharmacol Sci       Date:  2008-03-18       Impact factor: 14.819

Review 5.  Is this the drug or dose for you? Impact and consideration of ethnic factors in global drug development, regulatory review, and clinical practice.

Authors:  S-M Huang; R Temple
Journal:  Clin Pharmacol Ther       Date:  2008-09       Impact factor: 6.875

Review 6.  PhRMA white paper on ADME pharmacogenomics.

Authors:  J Andrew Williams; Tommy Andersson; Tommy B Andersson; Rebecca Blanchard; Martin Otto Behm; Nadine Cohen; Timi Edeki; Monique Franc; Kathleen M Hillgren; Keith J Johnson; David A Katz; Mark N Milton; Bernard P Murray; Joseph W Polli; Deb Ricci; Lisa A Shipley; Subrahmanyam Vangala; Steven A Wrighton
Journal:  J Clin Pharmacol       Date:  2008-06-04       Impact factor: 3.126

7.  Current practices for DNA sample collection and storage in the pharmaceutical industry, and potential areas for harmonization: perspective of the I-PWG.

Authors:  M A Franc; A W Warner; N Cohen; P M Shaw; P Groenen; A Snapir
Journal:  Clin Pharmacol Ther       Date:  2011-03-02       Impact factor: 6.875

8.  Intronic polymorphism in CYP3A4 affects hepatic expression and response to statin drugs.

Authors:  D Wang; Y Guo; S A Wrighton; G E Cooke; W Sadee
Journal:  Pharmacogenomics J       Date:  2010-04-13       Impact factor: 3.550

Review 9.  Transporter pharmacogenetics and statin toxicity.

Authors:  M Niemi
Journal:  Clin Pharmacol Ther       Date:  2009-11-04       Impact factor: 6.875

Review 10.  Comparison of kinetic parameters for drug oxidation rates and substrate inhibition potential mediated by cytochrome P450 3A4 and 3A5.

Authors:  Toshiro Niwa; Norie Murayama; Chie Emoto; Hiroshi Yamazaki
Journal:  Curr Drug Metab       Date:  2008-01       Impact factor: 3.731

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  9 in total

Review 1.  Leveraging Genomic Factors to Improve Benefit-Risk.

Authors:  R N Schuck; R Charlab; G M Blumenthal
Journal:  Clin Transl Sci       Date:  2017-02-03       Impact factor: 4.689

Review 2.  Pharmacogenomic Profiling of ADME Gene Variants: Current Challenges and Validation Perspectives.

Authors:  Mariamena Arbitrio; Maria Teresa Di Martino; Francesca Scionti; Vito Barbieri; Licia Pensabene; Pierosandro Tagliaferri
Journal:  High Throughput       Date:  2018-12-18

Review 3.  Drug Design: Where We Are and Future Prospects.

Authors:  Giuseppe Zagotto; Marco Bortoli
Journal:  Molecules       Date:  2021-11-22       Impact factor: 4.411

Review 4.  Current challenges and opportunities for pharmacogenomics: perspective of the Industry Pharmacogenomics Working Group (I-PWG).

Authors:  Karina Bienfait; Aparna Chhibber; Jean-Claude Marshall; Martin Armstrong; Charles Cox; Peter M Shaw; Charles Paulding
Journal:  Hum Genet       Date:  2021-06-03       Impact factor: 5.881

Review 5.  Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development.

Authors:  Yurong Lai; Xiaoyan Chu; Li Di; Wei Gao; Yingying Guo; Xingrong Liu; Chuang Lu; Jialin Mao; Hong Shen; Huaping Tang; Cindy Q Xia; Lei Zhang; Xinxin Ding
Journal:  Acta Pharm Sin B       Date:  2022-03-17       Impact factor: 14.903

6.  A retrospective analysis of actionable pharmacogenetic/genomic biomarker language in FDA labels.

Authors:  Shinji Yamazaki
Journal:  Clin Transl Sci       Date:  2021-04-09       Impact factor: 4.689

Review 7.  Comparison of Anticancer Drug Toxicities: Paradigm Shift in Adverse Effect Profile.

Authors:  Debasish Basak; Scott Arrighi; Yasenya Darwiche; Subrata Deb
Journal:  Life (Basel)       Date:  2021-12-29

8.  Risk Alleles for Multiple Myeloma Susceptibility in ADME Genes.

Authors:  Francesca Scionti; Giuseppe Agapito; Daniele Caracciolo; Caterina Riillo; Katia Grillone; Mario Cannataro; Maria Teresa Di Martino; Pierosandro Tagliaferri; Pierfrancesco Tassone; Mariamena Arbitrio
Journal:  Cells       Date:  2022-01-06       Impact factor: 6.600

Review 9.  Risk undermined in the bilateral pharmaceutical regulatory system in Taiwan.

Authors:  Hui-Po Wang; Chun-Li Wang
Journal:  J Food Drug Anal       Date:  2018-01-17       Impact factor: 6.157

  9 in total

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