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初步构建乳腺癌转移相关基因表达调控网络的线性微分方程模型,并分析模型的可靠性和生物学意义.采用基因芯片技术,分别对30例伴有淋巴结转移的乳腺癌组织及其相应淋巴结转移癌组织进行基因表达谱的比较,选择差异基因通过线性微分数学方法构建表达调控网络模型.差异表达基因共27个,其中Ratio>3的明显上调基因14个,而Ratio<0.33的明显下调基因13个.比较伴有淋巴结转移的乳腺癌组织和其相应淋巴结转移癌组织,分析筛选了27个表达差异基因,应用数学线性微分方程方法初步构建乳腺癌转移相关基因表达调控网络的线性微分方程模型,通过分析模型中重要节点、通路的生物学意义,判定网络的数学特性,初步表明,调控网络的可靠性和乳腺癌转移的形成是与多基因、多通路异常引起的细胞恶性转化相关.
To construct a linear differential equation model of breast cancer metastasis-related gene expression regulation network and to analyze the reliability and biological significance of the model.Methods 30 cases of breast cancer with lymph node metastasis and its corresponding lymph node metastasis Twenty-two differentially expressed genes, including 14 genes with Ratio> 3, and 13 genes with Ratio <0.33 were significantly down-regulated .Twenty-seven differential expression genes were screened from breast cancer tissues and corresponding lymph node metastasis tissues with lymph node metastasis. The linear differential equation model of breast cancer metastasis-related gene expression regulation network was constructed by mathematical linear differential equation. Analyzing the biological significance of important nodes and pathways in the model and judging the mathematical characteristics of the network initially showed that the reliability of the regulatory network and the formation of breast cancer metastasis are related to the malignant transformation of cells caused by multiple genes and multi-pathway abnormalities.