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首页> 美国卫生研究院文献>Proceedings of the National Academy of Sciences of the United States of America >Distinctive gene expression patterns in human mammary epithelial cells and breast cancers
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Distinctive gene expression patterns in human mammary epithelial cells and breast cancers

机译：人类乳腺上皮细胞和乳腺癌中独特的基因表达模式

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摘要

cDNA microarrays and a clustering algorithm were used to identify patterns of gene expression in human mammary epithelial cells growing in culture and in primary human breast tumors. Clusters of coexpressed genes identified through manipulations of mammary epithelial cells in vitro also showed consistent patterns of variation in expression among breast tumor samples. By using immunohistochemistry with antibodies against proteins encoded by a particular gene in a cluster, the identity of the cell type within the tumor specimen that contributed the observed gene expression pattern could be determined. Clusters of genes with coherent expression patterns in cultured cells and in the breast tumors samples could be related to specific features of biological variation among the samples. Two such clusters were found to have patterns that correlated with variation in cell proliferation rates and with activation of the IFN-regulated signal transduction pathway, respectively. Clusters of genes expressed by stromal cells and lymphocytes in the breast tumors also were identified in this analysis. These results support the feasibility and usefulness of this systematic approach to studying variation in gene expression patterns in human cancers as a means to dissect and classify solid tumors.
机译：cDNA微阵列和聚类算法用于鉴定培养和人原发性乳腺肿瘤中生长的人乳腺上皮细胞中基因表达的模式。通过乳腺上皮细胞体外操作鉴定的共表达基因簇也显示出乳腺癌样品中表达的一致变化模式。通过将免疫组织化学与针对簇中特定基因编码的蛋白质的抗体一起使用，可以确定导致观察到的基因表达模式的肿瘤样本中细胞类型的身份。在培养细胞和乳腺肿瘤样品中具有一致表达模式的基因簇可能与样品中生物学变异的特定特征有关。发现两个这样的簇分别具有与细胞增殖速率的变化和与IFN调节的信号转导途径的激活相关的模式。在该分析中还鉴定了由乳腺肿瘤中的基质细胞和淋巴细胞表达的基因簇。这些结果支持了这种系统的方法来研究人类癌症中基因表达模式变化作为解剖和分类实体瘤的手段的可行性和实用性。

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