Predicting risk of breast cancer recurrence using gene-expression profiling
Authors: Ignatiadis, Michail; Desmedt, Christine
Source: Pharmacogenomics, Volume 8, Number 1, January 2007 , pp. 101-111(11)
Publisher: Future Medicine
Abstract:
The molecular profiling of breast tumors using the powerful microarray technology has uncovered the molecular heterogeneity of breast tumors and has offered novel insight into breast tumorigenesis. The estrogen receptor (ER) has been shown to be the most important discriminator dichotomizing breast cancer into two main subsets. At the same time, proliferation, as captured by the recently developed Genomic Grade Index (GGI) has been found to be the most important prognostic factor in breast cancer, far beyond ER status. Interestingly, this index encompasses a significant portion of the predictive power of many published prognostic signatures. The challenge now is to integrate all the prognostic gene signatures available to date towards a comprehensive genomic fingerprint of the primary tumor. In the future, we should be able to offer individualized treatment to our patients based on a clinical decision-making algorithm that takes into account the clinicopathological parameters, the genomic profile of the primary tumor, the presence of micrometastatic cells and pharmacogenetic data for drug response.Keywords: breast cancer; gene-expression profile; genomics; molecular classification; prediction; prognosis; proliferation
Document Type: Research article
DOI: http://dx.doi.org/10.2217/14622416.8.1.101
Affiliations: 1: 1Free University of Brussels, Functional Genomics and Translational Research Unit, Jules Bordet Institute, 125 Bld de Waterloo, 1000 Brussels, Belgium., Email: Michail.ignatiadis@bordet.be
Publication date: 2007-01-01
- Pharmacogenomics provides the community with an essential resource for keeping abreast of the latest developments in new pharmacogenomic initiatives, emerging technologies for accessing genomic information and the development of novel diagnostic products and strategies.
- Editorial Board
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Information for Advertisers
- Terms & Conditions
- Information for Librarians
- E-Access Trials
- ingentaconnect is not responsible for the content or availability of external websites
- In this: publication
- By this: publisher
- In this Subject: Biotechnology , Pharmacology , Genetics
- By this author: Ignatiadis, Michail ; Desmedt, Christine

Shopping cart
Receive new issue alert
Get Permissions