Expression Levels of KMT2C and SLC20A1 Identified by Information-theoretical Analysis Are Powerful Prognostic Biomarkers in Estrogen Receptor-positive Breast Cancer.
Clin. Breast Cancer. 2017 Jun;17(3):e135-e142. Epub 2016 Nov 23
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摘要
INTRODUCTION:Â breast cancer, a major problem is to distinguish those patients most likely to develop recurrence or metastatic disease within 10 years after diagnosis from those with a sufficiently good prognosis. MATERIALS AND METHODS: breast cancer and to classify those patients according to the prognostic factors. RESULTS: patients with high KMT2C and low SLC20A1 expression, the 10-year survival rate was 86.78%. CONCLUSION: breast cancer will be very useful for the determination of prognosis and therapy.
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基因功能
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原始数据
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文献解读
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