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一种与炎性乳腺癌相关的基质基因特征。

A stromal gene signature associated with inflammatory breast cancer.

作者信息

Boersma Brenda J, Reimers Mark, Yi Ming, Ludwig Joseph A, Luke Brian T, Stephens Robert M, Yfantis Harry G, Lee Dong H, Weinstein John N, Ambs Stefan

机构信息

Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-4258, USA.

出版信息

Int J Cancer. 2008 Mar 15;122(6):1324-32. doi: 10.1002/ijc.23237.

Abstract

The factors that determine whether a breast carcinoma will develop into inflammatory breast cancer (IBC) remain poorly understood. Recent evidence indicates that the tumor stroma influences cancer phenotypes. We tested the hypotheses that the gene expression signature of the tumor stroma is a distinctive feature of IBC. We used laser capture microdissection to obtain enriched populations of tumor epithelial cells and adjacent stromal cells from 15 patients with IBC and 35 patients with invasive, noninflammatory breast cancer (non-IBC). Their mRNA expression profiles were assessed using Affymetrix GeneChips. In addition, a previously established classifier for IBC was evaluated for the resulting data sets. The gene expression profile of the tumor stroma distinguished IBC from non-IBC, and a previously established IBC prediction signature performed better in classifying IBC using the gene expression profile of the tumor stroma than it did using the profile of the tumor epithelium. In a pathway analysis, the genes differentially expressed between IBC and non-IBC tumors clustered in distinct pathways. We identified multiple pathways related to the endoplasmic stress response that could be functionally significant in IBC. Our findings suggest that the gene expression in the tumor stroma may play a role in determining the IBC phenotype.

摘要

决定乳腺癌是否会发展为炎性乳腺癌(IBC)的因素仍未得到充分了解。最近的证据表明肿瘤基质会影响癌症表型。我们检验了以下假设:肿瘤基质的基因表达特征是IBC的一个显著特征。我们使用激光捕获显微切割技术从15例IBC患者和35例浸润性非炎性乳腺癌(非IBC)患者中获取富集的肿瘤上皮细胞群和相邻基质细胞群。使用Affymetrix基因芯片评估它们的mRNA表达谱。此外,针对所得数据集对先前建立的IBC分类器进行了评估。肿瘤基质的基因表达谱能够将IBC与非IBC区分开来,并且先前建立的IBC预测特征在使用肿瘤基质的基因表达谱对IBC进行分类时比使用肿瘤上皮的基因表达谱表现得更好。在通路分析中,IBC和非IBC肿瘤之间差异表达的基因聚集在不同的通路中。我们确定了多个与内质网应激反应相关的通路,这些通路可能在IBC中具有功能重要性。我们的研究结果表明,肿瘤基质中的基因表达可能在决定IBC表型中发挥作用。

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