Microarray data analysis in neoadjuvant biomarker studies in estrogen receptor-positive breast cancer

Jingqin Luo, Matthew J. Ellis

Research output: Contribution to journalEditorial

9 Scopus citations

Abstract

Microarray data have been widely utilized to discover biomarkers predictive of response to endocrine therapy in estrogen receptor-positive breast cancer. Typically, these data have focused on analyses conducted on the diagnostic specimen. However, dynamic temporal changes in gene expression associated with treatment may deliver significant improvements to the current generation of predictive models. We present and discuss some statistical issues relevant to the paper by Taylor and colleagues, who conducted studies to model the prognostic potential of gene expression changes that occur after endocrine treatment.

Original languageEnglish
Article number112
JournalBreast Cancer Research
Volume12
Issue number4
DOIs
StatePublished - Aug 20 2010

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