Author:
Smith Samantha Louise,Plant Darren,Eyre Stephen,Barton Anne
Abstract
Whole genome expression profiling, or transcriptomics, is a high throughput technology with the potential for major impacts in both clinical settings and drug discovery and diagnostics. In particular, there is much interest in this technique as a mechanism for predicting treatment response. Gene expression profiling entails the quantitative measurement of messenger RNA levels for thousands of genes simultaneously with the inherent possibility of identifying biomarkers of response to a particular therapy or by singling out those at risk of serious adverse events. This technology should contribute to the era of stratified medicine, in which patient specific populations are matched to potentially beneficial drugs via clinical tests. Indeed, in the oncology field, gene expression testing is already recommended to allow rational use of therapies to treat breast cancer. However, there are still many issues surrounding the use of the various testing platforms available and the statistical analysis associated with the interpretation of results generated. This review will discuss the implications this promising technology has in predicting treatment response and outline the various advantages and pitfalls associated with its use.
Subject
General Biochemistry, Genetics and Molecular Biology,Immunology,Immunology and Allergy,Rheumatology
Reference53 articles.
1. Use of whole-genome association scans in disease gene identification, drug discovery and development;Roses;IDrugs,2007
2. Stratified medicine: strategic and economic implications of combining drugs and clinical biomarkers;Trusheim;Nat Rev Drug Discov,2007
3. Wellcome Trust Sanger Institute. The Human Genome Project. 2011. http://www.sanger.ac.uk/about/history/hgp/ (accessed Aug 2012).
4. HLA-B*5701 screening for hypersensitivity to abacavir;Mallal;N Engl J Med,2008
5. Prospective genetic screening decreases the incidence of abacavir hypersensitivity reactions in the Western Australian HIV Cohort Study;Rauch;Clin Infect Dis,2006
Cited by
37 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献