Prognostic and predictive gene expression signatures in breast cancer

Steven Buechler, Sunil Badve

Research output: Chapter in Book/Report/Conference proceedingChapter


Breast cancer patients have varying prognoses and responses to treatment due to the heterogeneity of the disease. This chapter surveys the histopathological features, molecular markers, and multigene signatures used for prognosis and prediction of treatment response. The commercially available gene expression based assays for prognostication/prediction in ER+ breast cancer are briefly described and critically discussed. We analyze the underlying reasons for the comparable significance of these tests at the population level, while the tests are discordant for many individual patients. The current challenges to development of future assays are discussed.

Original languageEnglish (US)
Title of host publicationMolecular Pathology of Breast Cancer
PublisherSpringer International Publishing
Number of pages13
ISBN (Electronic)9783319417615
ISBN (Print)9783319417592
StatePublished - Jan 1 2016


  • Intrinsic classification
  • Mammaprint oncotype DX and prosigna
  • Nottingham prognostic index

ASJC Scopus subject areas

  • Medicine(all)

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  • Cite this

    Buechler, S., & Badve, S. (2016). Prognostic and predictive gene expression signatures in breast cancer. In Molecular Pathology of Breast Cancer (pp. 269-281). Springer International Publishing.