Bogdanov Alexey, Moiseenko Fedor, Dubina Michael
St Petersburg Academic University, St. Petersburg, Russian Federation.
Practical Center for Specialized Types of Medical Care (Oncologic), St-Petersburg, Russian Federation.
F1000Res. 2017 Jan 5;6:10. doi: 10.12688/f1000research.10481.1. eCollection 2017.
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 GSE65194), focusing on Na /K -ATPase coding genes. We found overexpression of the and down-regulation of the . We expect that our research could help to improve the understanding of predictive and prognostic features of breast cancer.
乳腺癌在女性发生的所有实体瘤中发病率居首位，死亡率居第二位。确定乳腺癌中的分子遗传异常对于改善治疗结果很重要。在本研究中，我们分析了乳腺癌表达谱的微阵列数据（NCBI GEO数据库，登录号GSE65194），重点关注钠/钾-ATP酶编码基因。我们发现了[具体基因1]的过表达和[具体基因2]的下调。我们期望我们的研究有助于增进对乳腺癌预测和预后特征的理解。
