Carsten Peterson
Expert
Expression profiling to predict outcome in breast cancer: the influence of sample selection
Författare
Summary, in English
Gene expression profiling of tumors using DNA microarrays is a promising method for predicting prognosis and treatment response in cancer patients. It was recently reported that expression profiles of sporadic breast cancers could be used to predict disease recurrence better than currently available clinical and histopathological prognostic factors. Having observed an overlap in those data between the genes that predict outcome and those that predict estrogen receptor- status, we examined their predictive power in an independent data set. We conclude that it may be important to define prognostic expression profiles separately for estrogen receptor--positive and estrogen receptor--negative tumors.
Avdelning/ar
- Bröstcancer-genetik
- Beräkningsbiologi och biologisk fysik - Har omorganiserats
Publiceringsår
2003-12-04
Språk
Engelska
Sidor
23-26
Publikation/Tidskrift/Serie
Breast Cancer Research
Volym
5
Issue
1
Fulltext
- Available as PDF - 574 kB
- Download statistics
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
BioMed Central (BMC)
Ämne
- Cancer and Oncology
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1465-5411