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Breast cancer is the most frequent malignant tumor of women worldwide. Neoadjuvant chemotherapy (NACT) is the standard treatment for women with locally advanced (invasive) breast cancer. The neoadjuvant setting is not suitable to study NACT effects as only breast tumors growing in response to NACT are available for analysis. We used gene expression data of primary breast tumors before and after NACT treatment to analyze the gene expression changes to identify potential NACT-responsive and tamoxifen-responsive genes. We analyzed gene expression profiles from the ECOG/EORTC/GSE9014 and GSE19685 data sets, containing matched microarray data of pretreatment and post-NACT tumor samples of breast cancer patients, and the GSE9774 data set, including clinical and gene expression data of tamoxifen-treated tumors. Correlations in gene expression profiles before and after NACT (ECOG/EORTC) were used to identify potential NACT-responsive genes and tamoxifen-responsive genes. The combined gene expression signatures were validated on an independent set of data (GSE2034). We identified 382 and 342 differentially expressed genes in the GSE9014 and GSE19685 data sets, respectively. After validation in the independent data set, a total of 13 and 37 genes were identified as NACT-responsive and tamoxifen-responsive, respectively. These genes are potential biomarkers to identify tumors responsive to NACT and tamoxifen treatment.The present disclosure relates to a social networking technology and, more particularly, to a method of allowing a user to obtain a desired content with higher probability and a system for allowing a user to obtain a desired content.
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