Article Text

PDF
The potential use of expression profiling: implications for predicting treatment response in rheumatoid arthritis
  1. Samantha Louise Smith1,
  2. Darren Plant2,
  3. Stephen Eyre1,
  4. Anne Barton1,2
  1. 1Arthritis Research UK Epidemiology Unit, Manchester Academic Health Sciences Centre, School of Translational Medicine, University of Manchester, Manchester, UK
  2. 2NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
  1. Correspondence to Prof Anne Barton, Arthritis Research UK Epidemiology Unit, Manchester Academic Health Science Centre, School of Translational Medicine, University of Manchester, Stopford Building, Oxford Road, ManchesterM13 9PT, UK; anne.barton{at}manchester.ac.uk

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.

Statistics from Altmetric.com

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.