生物
基因表达
间质细胞
基因
免疫组织化学
DNA微阵列
乳腺
基因表达谱
癌症研究
互补DNA
基因表达调控
乳腺癌
分子生物学
病理
癌症
遗传学
免疫学
医学
作者
Charles M. Perou,Stefanie S. Jeffrey,Matt van de Rijn,Christian A. Rees,Michael B. Eisen,Douglas T. Ross,Alexander Pergamenschikov,Cheryl F. Williams,Shirley Zhu,Jeffrey C. Lee,Deval A. Lashkari,Dari Shalon,Patrick O. Brown,David Botstein
标识
DOI:10.1073/pnas.96.16.9212
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.
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