| Literature DB >> 16431104 |
Enrique Espinosa1, Andrés Redondo, Juan Angel Fresno Vara, Pilar Zamora, Enrique Casado, Paloma Cejas, Manuel González Barón.
Abstract
High-throughput technologies such as DNA-microarrays, RT-PCR and proteomics can improve the prognostic and predictive information acquired from classical parameters. Unlike information gathered by classical methods, high-throughput technologies can accurately inform clinicians on patient response to adjuvant therapy or those who will resist the effect of that therapy. Studies performed in breast cancer with high-throughput techniques have focused on tumour biology, prognosis, prediction of response to a few agents and, more recently, early diagnosis. However, further refinement is needed before these techniques become part of clinical routine. In the meantime, they will be used in clinical investigation, particularly in the areas of hormonal therapy and adjuvant chemotherapy, where modest improvements in the capacity of prediction can benefit many women. Close cooperation among clinicians, pathologists and basic investigators is essential to take high-throughput techniques to daily practice. New diagnostic tools will be complex but they will provide valuable patient information.Entities:
Mesh:
Year: 2006 PMID: 16431104 DOI: 10.1016/j.ejca.2005.11.021
Source DB: PubMed Journal: Eur J Cancer ISSN: 0959-8049 Impact factor: 9.162