Literature DB >> 22103607

Biomarkers in drug development and regulation: a paradigm for clinical implementation of personalized medicine.

Issam Zineh1, Shiew-Mei Huang.   

Abstract

The post-genomic era has been hallmarked by significant enthusiasm for therapeutic individualization through the use of pharmacogenomic and other biomarkers. This enthusiasm has been dampened by limited examples of widespread clinical adoption. The current clinical implementation paradigm may not be adequate to facilitate uptake of pharmacogenetics for a variety of reasons. This paper discusses certain limitations of the classical clinical implementation paradigm and describes the drug development paradigm as an additional, powerful mechanism to facilitate clinical implementation of individualized therapeutics.

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Year:  2011        PMID: 22103607     DOI: 10.2217/bmm.11.90

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  5 in total

Review 1.  Dashboard systems: implementing pharmacometrics from bench to bedside.

Authors:  Diane R Mould; Richard N Upton; Jessica Wojciechowski
Journal:  AAPS J       Date:  2014-06-20       Impact factor: 4.009

2.  Correlation between genetic polymorphisms within IL-1B and TLR4 genes and cancer risk in a Russian population: a case-control study.

Authors:  Anton G Kutikhin; Arseniy E Yuzhalin; Alexey N Volkov; Alexey S Zhivotovskiy; Elena B Brusina
Journal:  Tumour Biol       Date:  2014-01-21

3.  Pharmacogenomic biomarkers as inclusion criteria in clinical trials of oncology-targeted drugs: a mapping of ClinicalTrials.gov.

Authors:  Alexandre Vivot; Jacques Li; Jean-David Zeitoun; Samia Mourah; Perrine Crequit; Philippe Ravaud; Raphaël Porcher
Journal:  Genet Med       Date:  2015-12-17       Impact factor: 8.822

4.  Microvesicles/exosomes as potential novel biomarkers of metabolic diseases.

Authors:  Günter Müller
Journal:  Diabetes Metab Syndr Obes       Date:  2012-08-07       Impact factor: 3.168

5.  Integrative systems of genomic risk markers for cancer and other diseases: future of predictive medicine.

Authors:  Arseniy E Yuzhalin; Anton G Kutikhin
Journal:  Cancer Manag Res       Date:  2012-05-23       Impact factor: 3.989

  5 in total

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