Work

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

Year: 2010

Type: article

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.

Source: Breast Cancer Research

DOI: 10.1186/bcr2616

Authors: Jingqin Luo, Matthew J Ellis

Institution: Washington University in St. Louis

Language: English

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,190