Classification of ductal carcinoma in situ by gene expression profiling.
Classification of ductal carcinoma in situ by gene expression profiling.
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DOI：
10.1186/bcr1613
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
van de Vijver MJ
中科院分区：
文献类型：
--
作者：
Hannemann J;Velds A;Halfwerk JB;Kreike B;Peterse JL;van de Vijver MJ
导管原位癌（DCIS）的特征是导管内恶性上皮细胞增殖。已经开发了几种组织学分类系统，但评估 DCIS 病变的组织学类型/分级仍然具有挑战性，使得基于这些特征的治疗决策变得困难。为了深入了解不同类型 DCIS 发展及其进展为浸润性乳腺癌的分子基础，我们研究了不同类型 DCIS 之间以及 DCIS 与浸润性乳腺癌之间基因表达的差异。使用微阵列分析对 40 个原位乳腺癌和 40 个浸润性乳腺癌病例进行了基因表达谱分析。 DCIS 病例分为高分化型（n = 6）、中分化型（n = 18）和低分化型（n = 14）。在40个浸润性乳腺癌样本中，5个样本为I级，11个样本为II级，24个样本为III级。使用二维层次聚类，也可以在 DCIS 中识别出最初描述的浸润性乳腺癌的基底样型、ERB-B2 型和管腔型肿瘤。使用监督分类，我们确定了 35 个基因的基因表达分类器，这些基因在 DCIS 和浸润性乳腺癌之间有所不同；可以识别出 43 个基因的分类器来区分分化良好和分化较差的 DCIS 样本。
Ductal carcinoma in situ (DCIS) is characterised by the intraductal proliferation of malignant epithelial cells. Several histological classification systems have been developed, but assessing the histological type/grade of DCIS lesions is still challenging, making treatment decisions based on these features difficult. To obtain insight in the molecular basis of the development of different types of DCIS and its progression to invasive breast cancer, we have studied differences in gene expression between different types of DCIS and between DCIS and invasive breast carcinomas. Gene expression profiling using microarray analysis has been performed on 40 in situ and 40 invasive breast cancer cases. DCIS cases were classified as well- (n = 6), intermediately (n = 18), and poorly (n = 14) differentiated type. Of the 40 invasive breast cancer samples, five samples were grade I, 11 samples were grade II, and 24 samples were grade III. Using two-dimensional hierarchical clustering, the basal-like type, ERB-B2 type, and the luminal-type tumours originally described for invasive breast cancer could also be identified in DCIS. Using supervised classification, we identified a gene expression classifier of 35 genes, which differed between DCIS and invasive breast cancer; a classifier of 43 genes could be identified separating between well- and poorly differentiated DCIS samples.
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DOI：
10.1186/bcr623
发表时间：
2003
期刊：
Breast cancer research : BCR
影响因子：
--
作者：
Pinder SE;Ellis IO
通讯作者：
Ellis IO
影响因子：
45.3
作者：
Hannemann, J;Oosterkamp, HM;van de Vijver, MJ
通讯作者：
van de Vijver, MJ
DOI：
10.1073/pnas.0932692100
发表时间：
2003-07-08
影响因子：
11.1
作者：
Sorlie, T;Tibshirani, R;Botstein, D
通讯作者：
Botstein, D
影响因子：
8
作者：
Nagaraja, GM;Othman, M;Kandpal, RP
通讯作者：
Kandpal, RP
影响因子：
168.9
作者：
Huang, E;Cheng, SH;Huang, AT
通讯作者：
Huang, AT