Discovery and validation of breast cancer subtypes.
Discovery and validation of breast cancer subtypes.
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DOI：
10.1186/1471-2164-7-231
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发表时间：
2006-09-11
期刊：
影响因子：
4.4
通讯作者：
Tibshirani, Robert
中科院分区：
文献类型：
--
作者：
Kapp, Amy V.;Jeffrey, Stefanie S.;Langerod, Anita;Borresen-Dale, Anne-Lise;Han, Wonshik;Noh, Dong-Young;Bukholm, Ida R. K.;Nicolau, Monica;Brown, Patrick O.;Tibshirani, Robert
先前的研究表明，乳腺癌肿瘤组织样本可根据DNA微阵列图谱分为不同亚型。最近的研究提供了存在五种不同亚型的证据：正常乳腺样、基底样、腔面A型、腔面B型和ERBB2+型。
通过一种新方法对599个微阵列（五个独立的cDNA微阵列数据集）进行分析，我们提供证据支持乳腺癌肿瘤组织微阵列中最一致可识别的亚型为：ESR1+/ERBB2 -、ESR1 -/ERBB2 -和ERBB2+（统称为ESR1/ERBB2亚型）。我们从统计学上验证了这三种亚型，并表明样本所属的亚型是总生存期和无远处转移概率的重要预测因子。
作为统计验证过程的结果，我们有一组质心，可应用于任何微阵列（通过UniGene簇ID索引），将其归类为ESR1/ERBB2亚型之一。此外，用于定义ESR1/ERBB2亚型的方法并非针对该疾病所特有。该方法可用于识别任何疾病的亚型，只要该疾病有至少两个独立的疾病样本微阵列数据集。
Previous studies demonstrated breast cancer tumor tissue samples could be classified into different subtypes based upon DNA microarray profiles. The most recent study presented evidence for the existence of five different subtypes: normal breast-like, basal, luminal A, luminal B, and ERBB2+. Based upon the analysis of 599 microarrays (five separate cDNA microarray datasets) using a novel approach, we present evidence in support of the most consistently identifiable subtypes of breast cancer tumor tissue microarrays being: ESR1+/ERBB2-, ESR1-/ERBB2-, and ERBB2+ (collectively called the ESR1/ERBB2 subtypes). We validate all three subtypes statistically and show the subtype to which a sample belongs is a significant predictor of overall survival and distant-metastasis free probability. As a consequence of the statistical validation procedure we have a set of centroids which can be applied to any microarray (indexed by UniGene Cluster ID) to classify it to one of the ESR1/ERBB2 subtypes. Moreover, the method used to define the ESR1/ERBB2 subtypes is not specific to the disease. The method can be used to identify subtypes in any disease for which there are at least two independent microarray datasets of disease samples.
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DOI：
10.1073/pnas.091062498
发表时间：
2001-04-24
影响因子：
11.1
作者：
Tusher, VG;Tibshirani, R;Chu, G
通讯作者：
Chu, G
影响因子：
4.1
作者：
Lacroix, M;Leclercq, G
通讯作者：
Leclercq, G
影响因子：
158.5
作者：
van de Vijver, MJ;He, YD;Bernards, R
通讯作者：
Bernards, R
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：
3.3
作者：
Zhao, HJ;Langerod, A;Jeffrey, SS
通讯作者：
Jeffrey, SS