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Hierarchy of gene expression data is predictive of future breast cancer outcome

机译:基因表达数据的层次结构可预测未来的乳腺癌结果

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摘要

We calculate measures of hierarchy in gene and tissue networks of breast cancer patients. We find that the likelihood of metastasis in the future is correlated with increased values of network hierarchy for expression networks of cancer-associated genes, due to the correlated expression of cancer-specific pathways. Conversely, future metastasis and quick relapse times are negatively correlated with the values of network hierarchy in the expression network of all genes, due to the dedifferentiation of gene pathways and circuits. These results suggest that the hierarchy of gene expression may be useful as an additional biomarker for breast cancer prognosis.
机译:我们计算乳腺癌患者基因和组织网络中等级的度量。我们发现,由于癌症特异性途径的相关表达,未来转移的可能性与癌症相关基因表达网络的网络层次结构的增加值相关。相反,由于基因途径和电路的去分化,未来转移和快速复发时间与所有基因的表达网络中网络层次的值负相关。这些结果表明基因表达的层次可能作为乳腺癌预后的附加生物标志物有用。

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