Journal
EUROPEAN JOURNAL OF CANCER
Volume 44, Issue 18, Pages 2714-2720Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ejca.2008.09.011
Keywords
Breast cancer; Gene expression profiles; Prognosis; Prediction
Categories
Funding
- Belgian National Foundation for Cancer Research FNRS (C.D.)
Ask authors/readers for more resources
Breast Cancer is characterised by a wide heterogeneity regarding outcome and drug sensitivity A better prediction of these two parameters at the individual level should improve patient management and therefore also improve both the quality of life and the overall survival of the patient. Several molecular predictors for prognosis (MammaPrint (R) or Oncotype DX) and drug prediction (DLD30, SET index) have been generated using DNA-based arrays or RT-PCR, some of these being tested in phase III trials. Although they exhibit good metric performance and should improve the quality of care in the next decade, these predictors are considered suboptimal regarding the potential of the technology. New study design and arrays should generate more powerful second generation gene signatures. (C) 2008 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available