Breast cancer expression profiling: the impact of microarray testing on clinical decision making.
The available clinical prognostic tools show an obvious limitation in predicting the outcome of breast cancer patients, and pathological features cannot classify tumours accurately. Microarray-based molecular classification of breast tumours or selection of gene expression panels to improve risk prediction or treatment outcomes are thought to be theoretically superior to established clinical and pathological criteria, based on guidelines such as the St Gallen and National Institute of Health consensus, or which use specific prognostic tools, such as the Nottingham Prognostic Index or Adjuvant-Online algorithm. Although two diagnostic tests based on gene expression profiling of breast cancer are commercially available, a new molecular classification and molecular forecasting of breast cancer based on expression profiling cannot outperform the standard tumour diagnostic at present. This review focuses on some important problems in the practical application of molecular profiling of breast cancer for clinical purposes.
Modlich
Olga
O
Institut für Onkologische Chemie, University of Düsseldorf, Universitätsstrasse 1, D-40225, Düsseldorf, Germany. omodlich@onkochemie.uni-duesseldorf.de
Prisack
Hans-Bernd
HB
Bojar
Hans
H
D001943:Breast Neoplasms / Q000145:classification / Q000235:genetics* / Q000473:pathology; D003657:Decision Making; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008967:Molecular Biology / Q000639:trends*; D020411:Oligonucleotide Array Sequence Analysis / Q000639:trends*; D011379:Prognosis