论文部分内容阅读
目的通过线性微分方程模型和k-means聚类方法初步探索性研究乳腺癌转移相关基因表达调控通路和预测其生物学意义。方法选择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的基因表达谱芯片的比较结果,通过线性微分方程模型和k-means聚类分析乳腺癌转移相关基因表达调控通路。结果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,提出GRP基因、BPAG1基因、SFRP2基因间的乳腺癌转移相关调控通路存在的假设。结论初步表明乳腺癌转移的形成是与多基因异常引起基因调控通路异常致使细胞恶性转化相关,利用多种生物信息学手段分析乳腺癌转移相关基因表达调控通路及其生物学意义具有一定的应用价值。
OBJECTIVE: To explore the pathways of breast cancer metastasis-related gene expression and to predict its biological significance through linear differential equation model and k-means clustering method. Methods The gene expression profile of 30 cases of breast cancer with lymph node metastasis and its corresponding lymph node metastasis was compared. Linear differential equation model and k-means clustering were used to analyze the regulation of breast cancer metastasis-related gene expression. Results Compared with lymph node metastasis in breast cancer tissues and their corresponding lymph node metastatic cancer tissues, 27 differentially expressed genes were screened for the existence of GRP, BPAG1 and SFRP2 genes. Conclusion The preliminary results suggest that the formation of breast cancer metastasis is related to abnormal gene regulation of multiple genes leading to malignant transformation of cells. It is of great value to analyze the pathways and their biological significance of metastasis-related gene expression in breast cancer using various bioinformatics methods .