| Integrating predictive biomarkers and classifiers into oncology clinical development programmes. | |
| | |
MedLine Citation:
|
PMID: 21959287 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
The future of drug development in oncology lies in identifying subsets of patients who will benefit from particular therapies, using predictive biomarkers. These technologies offer hope of enhancing the value of cancer medicines and reducing the size, cost and failure rates of clinical trials. However, examples of the failure of predictive biomarkers also exist. In these cases the use of biomarkers increased the costs, complexity and duration of clinical trials, and narrowed the treated population unnecessarily. Here, we present methods to adaptively integrate predictive biomarkers into clinical programmes in a data-driven manner, wherein these biomarkers are emphasized in exact proportion to the evidence supporting their clinical predictive value. The resulting programme demands value from predictive biomarkers and is designed to optimally harvest this value for oncology drug development. |
| | |
Authors:
|
Robert A Beckman; Jason Clark; Cong Chen |
Related Documents
:
|
2226247 - Evaluation of the isobologram method for the assessment of mixtures of chemicals. combi... 17521137 - Topical dose delivery in the reptilian egg treatment model. 20614787 - Modeling and prediction for the acute toxicity of pesticide mixtures to the freshwater ... 15558547 - Challenges in constructing statistically based structure-activity relationship models f... 15976147 - Cluster analysis methods help to clarify the activity-bmi relationship of chinese youth. 11592347 - Limited sampling models for cpt-11, sn-38, and sn-38 glucuronide. |
Publication Detail:
|
Type: Journal Article Date: 2011-09-30 |
Journal Detail:
|
Title: Nature reviews. Drug discovery Volume: 10 ISSN: 1474-1784 ISO Abbreviation: Nat Rev Drug Discov Publication Date: 2011 |
Date Detail:
|
Created Date: 2011-09-30 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101124171 Medline TA: Nat Rev Drug Discov Country: England |
Other Details:
|
Languages: eng Pagination: 735-48 Citation Subset: IM |
Affiliation:
|
Clinical Research Oncology, Daiichi-Sankyo Pharmaceutical Development, 399 Thornall Street, Edison, New Jersey 08837, USA. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Ezogabine (retigabine).
Next Document: The influence of the 'organizational factor' on compound quality in drug discovery.