Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?
Top Cited Papers
- 1 July 2007
- journal article
- opinion
- Published by Springer Nature in Nature Reviews Cancer
- Vol. 7 (7) , 545-553
- https://doi.org/10.1038/nrc2173
Abstract
The advent of microarray technology has enabled scientists to simultaneously investigate the expression of thousands of genes. Gene-expression profiling studies have provided a molecular classification of breast cancer into clinically relevant subtypes, new tools to predict disease recurrence and response to different treatments, and new insights into various oncogenic pathways and the process of metastatic progression. Here we describe the state of the art of gene-expression studies in breast cancer, and consider both their current limitations and future promises. We also discuss the potential of molecular signatures to have an impact on individual breast cancer patient management, and ultimately to accelerate the transition between empirical and tailored medicine.Keywords
This publication has 83 references indexed in Scilit:
- Genomic signatures to guide the use of chemotherapeuticsNature Medicine, 2006
- The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurementsNature Biotechnology, 2006
- Concordance among Gene-Expression–Based Predictors for Breast CancerNew England Journal of Medicine, 2006
- Oncogenic pathway signatures in human cancers as a guide to targeted therapiesNature, 2005
- A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast CancerNew England Journal of Medicine, 2004
- Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomesProceedings of the National Academy of Sciences, 2004
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerNew England Journal of Medicine, 2002
- Genetic heterogeneity of single disseminated tumour cells in minimal residual cancerThe Lancet, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Tumour markers in breast carcinoma correlate with grade rather than with invasivenessBritish Journal of Cancer, 2001