Literature DB >> 18829477

The use of genomics in clinical trial design.

Richard Simon1.   

Abstract

Many cancer treatments benefit only a minority of patients who receive them. This results in an enormous burden on patients and on the health care system. The problem will become even greater with the increasing use of molecularly targeted agents whose benefits are likely to be more selective unless the drug development process is modified to include co-development of companion diagnostics. Whole genome biotechnology and decreasing costs of genome sequencing make it increasingly possible to achieve an era of predictive medicine in oncology therapeutics. The challenges are numerous and substantial but are not primarily technological. They involve organizing publicly funded diagnostics of deregulated pathways, adopting new paradigms for drug development, and developing incentives for industry to incur the complexity and expense of co-development of drugs and companion diagnostics. This article reviews some designs for phase III clinical trials that may facilitate movement to a more predictive oncology.

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Mesh:

Year:  2008        PMID: 18829477     DOI: 10.1158/1078-0432.CCR-07-4531

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  67 in total

Review 1.  Quantifying factors for the success of stratified medicine.

Authors:  Mark R Trusheim; Breon Burgess; Sean Xinghua Hu; Theresa Long; Steven D Averbuch; Aiden A Flynn; Alfons Lieftucht; Abhijit Mazumder; Judy Milloy; Peter M Shaw; David Swank; Jian Wang; Ernst R Berndt; Federico Goodsaid; Michael C Palmer
Journal:  Nat Rev Drug Discov       Date:  2011-10-31       Impact factor: 84.694

Review 2.  Integrating predictive biomarkers and classifiers into oncology clinical development programmes.

Authors:  Robert A Beckman; Jason Clark; Cong Chen
Journal:  Nat Rev Drug Discov       Date:  2011-09-30       Impact factor: 84.694

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.  Clinical trials for predictive medicine: new challenges and paradigms.

Authors:  Richard Simon
Journal:  Clin Trials       Date:  2010-03-25       Impact factor: 2.486

Review 5.  DNA repair and personalized breast cancer therapy.

Authors:  Shu-Xia Li; Ashley Sjolund; Lyndsay Harris; Joann B Sweasy
Journal:  Environ Mol Mutagen       Date:  2010 Oct-Dec       Impact factor: 3.216

Review 6.  Biomarkers in oncology drug development.

Authors:  Darren R Hodgson; Robin D Whittaker; Athula Herath; Dereck Amakye; Glen Clack
Journal:  Mol Oncol       Date:  2008-12-11       Impact factor: 6.603

Review 7.  Biomarker enrichment strategies: matching trial design to biomarker credentials.

Authors:  Boris Freidlin; Edward L Korn
Journal:  Nat Rev Clin Oncol       Date:  2013-11-26       Impact factor: 66.675

Review 8.  Genomic markers for decision making: what is preventing us from using markers?

Authors:  Vicky M Coyle; Patrick G Johnston
Journal:  Nat Rev Clin Oncol       Date:  2009-12-15       Impact factor: 66.675

Review 9.  Advancing precision medicine for prostate cancer through genomics.

Authors:  Sameek Roychowdhury; Arul M Chinnaiyan
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

10.  Optimal marker-strategy clinical trial design to detect predictive markers for targeted therapy.

Authors:  Yong Zang; Suyu Liu; Ying Yuan
Journal:  Biostatistics       Date:  2016-03-07       Impact factor: 5.899

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