Expression profiling to predict outcome in breast cancer: the influence of sample selection

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.

• Författare: Sofia Gruvberger; Markus Ringnér; Patrik Edén; Åke Borg; Mårten Fernö; Carsten Peterson; Paul S Meltzer
• 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: - 574 kB; Download statistics
• Länkar: http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=Retrieve&db=PubMed&list_uids=12559041&dopt=Abstract; http://dx.doi.org/10.1186/bcr548
• Dokumenttyp: Artikel i tidskrift
• Förlag: BioMed Central (BMC)
• Ämne: Cancer and Oncology
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 1465-5411