Document Detail


Implementing personalized cancer genomics in clinical trials.
MedLine Citation:
PMID:  23629504     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
The recent surge in high-throughput sequencing of cancer genomes has supported an expanding molecular classification of cancer. These studies have identified putative predictive biomarkers signifying aberrant oncogene pathway activation and may provide a rationale for matching patients with molecularly targeted therapies in clinical trials. Here, we discuss some of the challenges of adapting these data for rare cancers or molecular subsets of certain cancers, which will require aligning the availability of investigational agents, rapid turnaround of clinical grade sequencing, molecular eligibility and reconsidering clinical trial design and end points.
Authors:
Richard Simon; Sameek Roychowdhury
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Nature reviews. Drug discovery     Volume:  12     ISSN:  1474-1784     ISO Abbreviation:  Nat Rev Drug Discov     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-04-30     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101124171     Medline TA:  Nat Rev Drug Discov     Country:  England    
Other Details:
Languages:  eng     Pagination:  358-69     Citation Subset:  IM    
Affiliation:
Biometric Research Branch, US National Cancer Institute, Bethesda, Maryland 20892-7434, USA.
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