Literature DB >> 17161682

Pharmacodynamic biomarkers for molecular cancer therapeutics.

Debashis Sarker1, Paul Workman.   

Abstract

Rational and efficient development of new molecular cancer therapeutics requires discovery, validation, and implementation of informative biomarkers. Measurement of molecular target status, pharmacokinetic (PK) parameters of drug exposure, and pharmacodynamic (PD) endpoints of drug effects on target, pathway, and downstream biological processes are extremely important. These can be linked to therapeutic effects in what we term a "pharmacological audit trail." Using biomarkers in preclinical drug discovery and development facilitates optimization of PK, PD, and therapeutic properties so that the best agent is selected for clinical evaluation. Applying biomarkers in early clinical trials helps identify the most appropriate patients; provides proof of concept for target modulation; helps test the underlying hypothesis; informs the rational selection of dose and schedule; aids decision making, including key go/no go questions; and may explain or predict clinical outcomes. Despite many successes such as trastuzumab and imatinib, exemplifying the value of targeting specific cancer defects, only 5% of oncology drugs that enter the clinic make it to marketing approval. Use of biomarkers should reduce this high level of attrition and bring forward key decisions (e.g., "fail fast"), thereby reducing the spiraling costs of drug development and increasing the likelihood of getting innovative and active drugs to cancer patients. In this chapter, we focus primarily on PD endpoints that demonstrate target modulation, including both invasive molecular assays and functional imaging technology. We also discuss related clinical trial design issues. Implementation of biomarkers in trials remains disappointingly low and we emphasize the need for greater cooperation between various stakeholders to improve this.

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Year:  2007        PMID: 17161682     DOI: 10.1016/S0065-230X(06)96008-4

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


  51 in total

1.  Identification and validation of inhibitor-responsive kinase substrates using a new paradigm to measure kinase-specific protein phosphorylation index.

Authors:  Xiang Li; Varsha Rao; Jin Jin; Bin Guan; Kenna L Anderes; Charles J Bieberich
Journal:  J Proteome Res       Date:  2012-06-18       Impact factor: 4.466

2.  S-glutathionylated serine proteinase inhibitors as plasma biomarkers in assessing response to redox-modulating drugs.

Authors:  Christina L Grek; Danyelle M Townsend; Joachim D Uys; Yefim Manevich; Woodrow J Coker; Christopher J Pazoles; Kenneth D Tew
Journal:  Cancer Res       Date:  2012-03-08       Impact factor: 12.701

Review 3.  Envisioning the future of early anticancer drug development.

Authors:  Timothy A Yap; Shahneen K Sandhu; Paul Workman; Johann S de Bono
Journal:  Nat Rev Cancer       Date:  2010-06-10       Impact factor: 60.716

4.  Analysis of Impact of Post-Treatment Biopsies in Phase I Clinical Trials.

Authors:  Randy F Sweis; Michael W Drazer; Mark J Ratain
Journal:  J Clin Oncol       Date:  2015-12-14       Impact factor: 44.544

Review 5.  Drugging the PI3 kinome: from chemical tools to drugs in the clinic.

Authors:  Paul Workman; Paul A Clarke; Florence I Raynaud; Rob L M van Montfort
Journal:  Cancer Res       Date:  2010-02-23       Impact factor: 12.701

Review 6.  Utilizing targeted cancer therapeutic agents in combination: novel approaches and urgent requirements.

Authors:  Shivanni Kummar; Helen X Chen; John Wright; Susan Holbeck; Myrtle Davis Millin; Joseph Tomaszewski; James Zweibel; Jerry Collins; James H Doroshow
Journal:  Nat Rev Drug Discov       Date:  2010-10-29       Impact factor: 84.694

Review 7.  Cancer nanomedicines: so many papers and so few drugs!

Authors:  Vincent J Venditto; Francis C Szoka
Journal:  Adv Drug Deliv Rev       Date:  2012-10-01       Impact factor: 15.470

Review 8.  Beyond chemotherapy: targeted therapies in ovarian cancer.

Authors:  Timothy A Yap; Craig P Carden; Stan B Kaye
Journal:  Nat Rev Cancer       Date:  2009-03       Impact factor: 60.716

9.  Pharmacokinetic-pharmacodynamic modeling of the anticancer effect of erlotinib in a human non-small cell lung cancer xenograft mouse model.

Authors:  Qiong Wu; Meng-yao Li; Han-qing Li; Chen-hui Deng; Liang Li; Tian-yan Zhou; Wei Lu
Journal:  Acta Pharmacol Sin       Date:  2013-10-07       Impact factor: 6.150

Review 10.  Personalized medicine and pharmacogenetic biomarkers: progress in molecular oncology testing.

Authors:  Frank S Ong; Kingshuk Das; Jay Wang; Hana Vakil; Jane Z Kuo; Wendell-Lamar B Blackwell; Stephen W Lim; Mark O Goodarzi; Kenneth E Bernstein; Jerome I Rotter; Wayne W Grody
Journal:  Expert Rev Mol Diagn       Date:  2012-07       Impact factor: 5.225

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