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Microarray analysis reveals dysregulated ATP1A1 and ATP1A2 expression in breast cancer, suggesting novel predictive and prognostic biomarkers.
<ns4:p> Breast cancer is the first in incidence and the second in death among all solid tumors occurring in women. The identification of molecular genetic abnormalities in breast cancer is important to improve the results of treatment. In the present study, we analyzed microarray data of breast cancer expression profiling (NCBI GEO database, accession <ns4:ext-link xmlns:ns3="http://www.w3.org/1999/xlink" ext-link-type="uri" ns3:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65194">GSE65194</ns4:ext-link> ), focusing on Na <ns4:sup>+</ns4:sup> /K <ns4:sup>+</ns4:sup> -ATPase coding genes. We found overexpression of the <ns4:italic>ATP1A1</ns4:italic> and down-regulation of the <ns4:italic>ATP1A2</ns4:italic> . We expect that our research could help to improve the understanding of predictive and prognostic features of breast cancer. </ns4:p>
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Bogdanov et al. (2017) studied this question.
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