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

Författare:
  • Sofia Gruvberger
  • Markus Ringnér
  • Patrik Edén
  • Åke Borg
  • Mårten Fernö
  • Carsten Peterson
  • Paul S Meltzer
Publiceringsår: 2003
Språk: Engelska
Sidor: 23-26
Publikation/Tidskrift/Serie: Breast Cancer Research
Volym: 5
Nummer: 1
Dokumenttyp: Artikel i tidskrift
Förlag: BioMed Central

Abstract 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.

Keywords

  • Cancer and Oncology

Other

Published
  • ISSN: 1465-5411
Markus Ringnér
E-post: markus [dot] ringner [at] biol [dot] lu [dot] se

Forskningsingenjör

Molekylär cellbiologi

B-A317

Sölvegatan 35, Lund

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