Clinical application of gene expression profiling in breast cancer

Joseph A. Sparano, Melissa Fazzari, Paraic A. Kenny

Research output: Contribution to journalReview articlepeer-review

21 Scopus citations


Breast cancer is a heterogeneous disease associated with variable clinical outcomes and response to therapy. Classic clinicopathologic factors associated with outcome include anatomic features associated with prognosis (eg, tumor size, number of positive regional lymph nodes) and biologic features associated with prognosis and/or predictive of response to specific therapies, usually by evaluating protein expression by immunohistochemistry (eg, estrogen and/or progesterone receptors) or amplification of a single gene (eg, HER2/neu). Gene expression profiling evaluating thousands of genes is now feasible, and has facilitated the development of multiparameter assays that may identify breast cancer subtypes associated with distinct clinical outcomes that were not previously recognized, or provide more accurate information about prognosis or response to specific therapies than may be provided by classic clinicopathologic features alone. Several multiparameter gene expression assays are commercially available, and additional assays are being developed that will facilitate more accurate therapeutic individualization.

Original languageEnglish (US)
Pages (from-to)581-606
Number of pages26
JournalSurgical Oncology Clinics of North America
Issue number3
StatePublished - Jul 2010


  • Breast cancer
  • Gene expression profiling
  • Multiparameter assay
  • Predictive factor
  • Prognostic factor

ASJC Scopus subject areas

  • Surgery
  • Oncology


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