The Use of Genomics in Clinical Trial Design

被引:125
作者
Simon, Richard [1 ]
机构
[1] NCI, Biometr Res Branch, Bethesda, MD 20892 USA
关键词
D O I
10.1158/1078-0432.CCR-07-4531
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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 codevelopment 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 codevelopment of drugs and companion diagnostics. This article reviews some designs for phase III clinical trials that may facilitate movement to a more predictive oncology.
引用
收藏
页码:5984 / 5993
页数:10
相关论文
共 58 条
[1]   Wild-type KRAS is required for panitumumab efficacy in patients with metastatic colorectal cancer [J].
Amado, Rafael G. ;
Wolf, Michael ;
Peeters, Marc ;
Van Cutsem, Eric ;
Siena, Salvatore ;
Freeman, Daniel J. ;
Juan, Todd ;
Sikorski, Robert ;
Suggs, Sid ;
Radinsky, Robert ;
Patterson, Scott D. ;
Chang, David D. .
JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (10) :1626-1634
[2]  
[Anonymous], 2003, Design and Analysis of DNA Microarray Investigations
[3]  
[Anonymous], 2003, Statistical Analysis of Gene Expression Microarray Data. Interdisciplinary Statistics
[4]  
Buyse M, 2000, Biostatistics, V1, P49, DOI 10.1093/biostatistics/1.1.49
[5]  
CHAU CH, 2008, CLIN CANC R IN PRESS, V18
[6]   How large a training set is needed to develop a classifier for microarray data? [J].
Dobbin, Kevin K. ;
Zhao, Yingdong ;
Simon, Richard M. .
CLINICAL CANCER RESEARCH, 2008, 14 (01) :108-114
[7]   Sample size planning for developing classifiers using high-dimensional DNA microarray data [J].
Dobbin, Kevin K. ;
Simon, Richard M. .
BIOSTATISTICS, 2007, 8 (01) :101-117
[8]   Comparison of discrimination methods for the classification of tumors using gene expression data [J].
Dudoit, S ;
Fridlyand, J ;
Speed, TP .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2002, 97 (457) :77-87
[9]   Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting [J].
Dupuy, Alain ;
Simon, Richard M. .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2007, 99 (02) :147-157
[10]  
FDA, 2005, GUID IND PHARM DAT S