Literature DB >> 17161683

Biomarker assay translation from discovery to clinical studies in cancer drug development: quantification of emerging protein biomarkers.

Jean W Lee1, Daniel Figeys, Julian Vasilescu.   

Abstract

Many candidate biomarkers emerging from genomics and proteomics research have the potential to serve as predictive indexes for guiding the development of safer and more efficacious drugs. Research and development of biomarker discovery, selection, and clinical qualification, however, is still a relatively new field for the pharmaceutical industry. Advances in technology provide a plethora of analytical tools to discover and analyze mechanism-and-disease-specific biomarkers for drug development. In the discovery phase, differential proteomic analysis using mass spectrometry enables the identification of candidate biomarkers that are associated with a specific mechanism relevant to disease progression and affected by drug treatment. Reliable bioanalytical methods are then developed and implemented to select promising biomarkers for further studies in animals and humans. Quantitative analytical methods capable of generating reliable data constitute a solid basis for statistical assessment of the predictive utility of biomarkers. Biomarker method validation is diverse and for purposes that are very different from those of drug bioanalysis or diagnostic use. Besides being flexible, it should sufficiently demonstrate the method's ability to meet the study intent and the attendant regulatory requirements. Several papers have been published outlining specific requirements for successful biomarker method development and validation using a "Fit-for-Purpose" approach. Many of the challenges faced during biomarker discovery as well as during technology and process translation are discussed in this chapter, including preanalytical planning, assay development, and preclinical and clinical validation. Specific references to protein biomarkers for cancer drug development are also discussed.

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Year:  2007        PMID: 17161683     DOI: 10.1016/S0065-230X(06)96010-2

Source DB:  PubMed          Journal:  Adv Cancer Res        ISSN: 0065-230X            Impact factor:   6.242


  17 in total

Review 1.  Application of quantitative pharmacology in development of therapeutic monoclonal antibodies.

Authors:  Mohammad Tabrizi; Cherryl Funelas; Hamza Suria
Journal:  AAPS J       Date:  2010-07-24       Impact factor: 4.009

Review 2.  Biomarker method validation in anticancer drug development.

Authors:  J Cummings; T H Ward; A Greystoke; M Ranson; C Dive
Journal:  Br J Pharmacol       Date:  2007-09-17       Impact factor: 8.739

Review 3.  Neurooncology clinical trial design for targeted therapies: lessons learned from the North American Brain Tumor Consortium.

Authors:  Susan M Chang; Kathleen R Lamborn; John G Kuhn; W K Alfred Yung; Mark R Gilbert; Patrick Y Wen; Howard A Fine; Minesh P Mehta; Lisa M DeAngelis; Frank S Lieberman; Timothy F Cloughesy; H Ian Robins; Lauren E Abrey; Michael D Prados
Journal:  Neuro Oncol       Date:  2008-06-17       Impact factor: 12.300

Review 4.  Fit-for-Purpose Immunohistochemical Biomarkers.

Authors:  Emina Emilia Torlakovic
Journal:  Endocr Pathol       Date:  2018-06       Impact factor: 3.943

Review 5.  Biomarkers of immunosuppressant organ toxicity after transplantation: status, concepts and misconceptions.

Authors:  Uwe Christians; Jost Klawitter; Jelena Klawitter; Nina Brunner; Volker Schmitz
Journal:  Expert Opin Drug Metab Toxicol       Date:  2011-02       Impact factor: 4.481

Review 6.  An integrative paradigm to impart quality to correlative science.

Authors:  Michael Kalos
Journal:  J Transl Med       Date:  2010-03-16       Impact factor: 5.531

Review 7.  Fit-for-purpose biomarker method validation for application in clinical trials of anticancer drugs.

Authors:  J Cummings; F Raynaud; L Jones; R Sugar; C Dive
Journal:  Br J Cancer       Date:  2010-10-05       Impact factor: 7.640

Review 8.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

9.  PET with 62Cu-ATSM and 62Cu-PTSM is a useful imaging tool for hypoxia and perfusion in pulmonary lesions.

Authors:  Tian Zhang; Shiva K Das; Diane R Fels; Katherine S Hansen; Terence Z Wong; Mark W Dewhirst; Gordana Vlahovic
Journal:  AJR Am J Roentgenol       Date:  2013-11       Impact factor: 3.959

10.  Mass Spectrometry-Based Multiplexing for the Analysis of Biomarkers in Drug Development and Clinical Diagnostics- How Much is too Much?

Authors:  Uwe Christians; Jacek Klepacki; Touraj Shokati; Jost Klawitter; Jelena Klawitter
Journal:  Microchem J       Date:  2012-11-01       Impact factor: 4.821

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