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Updated: Aug 14, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate
E L Korn1, L M McShane, J F Troendle
1Biometric Research Branch, EPN-8128, National Cancer Institute, National Institutes of Health, Bethesda MD 20892, USA. korne@ctep.nci.nih.gov
Abstract:
Although widely used for the analysis of gene expression microarray data, cluster analysis may not be the most appropriate statistical technique for some study aims. We demonstrate this by considering a previous analysis of microarray data obtained on breast tumour specimens, many of which were paired specimens from the same patient before and after chemotherapy. Reanalysing the data using statistical methods that appropriately utilise the paired differences for identification of differentially expressed genes, we find 17 genes that we can confidently identify as more expressed after chemotherapy than before. These findings were not reported by the original investigators who analysed the data using cluster analysis techniques.

