Microarray data analysis in neoadjuvant biomarker studies in estrogen receptor-positive breast cancer.
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.
Luo
Jingqin
J
Ellis
Matthew J
MJ
D000818:Animals; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000235:genetics* / Q000378:metabolism; D019008:Drug Resistance, Neoplasm / Q000235:genetics; D004958:Estradiol / Q000008:administration & dosage / Q000494:pharmacology; D004965:Estrogen Antagonists / Q000008:administration & dosage / Q000494:pharmacology*; D004967:Estrogens / Q000008:administration & dosage / Q000494:pharmacology; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic / Q000187:drug effects; D006801:Humans; D051379:Mice; D008819:Mice, Nude; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D011960:Receptors, Estrogen / Q000378:metabolism; D013629:Tamoxifen / Q000008:administration & dosage / Q000494:pharmacology; D023041:Xenograft Model Antitumor Assays
D004965:Estrogen Antagonists; D004967:Estrogens; D011960:Receptors, Estrogen; D013629:Tamoxifen; D004958:Estradiol
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