Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers.
Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers.
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DOI：
10.1038/bjc.2013.528
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发表时间：
2013-10-01
影响因子：
8.8
通讯作者：
Ellis, I. O.
中科院分区：
文献类型：
--
作者：
Green, A. R.;Powe, D. G.;Rakha, E. A.;Soria, D.;Lemetre, C.;Nolan, C. C.;Barros, F. F. T.;Macmillan, R. D.;Garibaldi, J. M.;Ball, G. R.;Ellis, I. O.
乳腺癌是一种异质性疾病，其特征是在不同的行为和对治疗的反应下发生复杂的分子变化。然而，用于常规临床实践的癌症基因图谱的翻译仍然难以捉摸或昂贵得令人望而却步。作为另一种选择，应用于常规处理的组织样本的免疫组织化学分析可以用来识别不同的乳腺癌生物学类别。在这项研究中，1073个存档的乳腺肿瘤先前使用免疫组织化学评估了25个关键的乳腺癌生物标记物，并使用聚类算法进行了分类，使用朴素贝叶斯分类性能进一步细化。使用能够识别关键分子类别的10种蛋白质的简化小组的表达来定义类别成员的标准。我们研究了这些乳腺癌类型与临床病理因素和患者预后之间的关系。除了对管腔和基底肿瘤进行新的细分外，我们还确认了类似于已建立的乳腺癌基因型生物学分类的患者分类。分级和临床病理参数之间的相关性符合预期，并显示出与患者预后的高度显著相关性。此外，我们新的生物分类分层为诺丁汉预后指数提供了额外的预后信息。这项研究证实，乳腺癌的不同分子表型可以使用强大的和常规可用的技术来识别，并且管腔和基底乳腺癌的表型都是不同的，并且包含不同的亚群。
Breast cancer is a heterogeneous disease characterised by complex molecular alterations underlying the varied behaviour and response to therapy. However, translation of cancer genetic profiling for use in routine clinical practice remains elusive or prohibitively expensive. As an alternative, immunohistochemical analysis applied to routinely processed tissue samples could be used to identify distinct biological classes of breast cancer. In this study, 1073 archival breast tumours previously assessed for 25 key breast cancer biomarkers using immunohistochemistry and classified using clustering algorithms were further refined using naïve Bayes classification performance. Criteria for class membership were defined using the expression of a reduced panel of 10 proteins able to identify key molecular classes. We examined the association between these breast cancer classes with clinicopathological factors and patient outcome. We confirm patient classification similar to established genotypic biological classes of breast cancer in addition to novel sub-divisions of luminal and basal tumours. Correlations between classes and clinicopathological parameters were in line with expectations and showed highly significant association with patient outcome. Furthermore, our novel biological class stratification provides additional prognostic information to the Nottingham Prognostic Index. This study confirms that distinct molecular phenotypes of breast cancer can be identified using robust and routinely available techniques and both the luminal and basal breast cancer phenotypes are heterogeneous and contain distinct subgroups.
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在412例患者的基于人群的队列中，乳腺癌的固有分子特征。
影响因子：
7.4
作者：
Calza, Stefano;Hall, Per;Auer, Gert;Bjohle, Judith;Klaar, Sigrid;Kronenwett, Ulrike;T Liu, Edison;Miller, Lance;Ploner, Alexander;Smeds, Johanna;Bergh, Jonas;Pawitan, Yudi
通讯作者：
Pawitan, Yudi
影响因子：
6.4
作者：
García-Caballero T;Grabau D;Green AR;Gregory J;Schad A;Kohlwes E;Ellis IO;Watts S;Mollerup J
通讯作者：
Mollerup J
DOI：
10.1093/jnci/91.7.641
发表时间：
1999-04-07
期刊：
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子：
--
作者：
de Cremoux, P;Salomon, AV;Soussi, T
通讯作者：
Soussi, T
影响因子：
7.5
作者：
Soria, Daniele;Garibaldi, Jonathan M.;Ellis, Ian O.
通讯作者：
Ellis, Ian O.
DOI：
10.1073/pnas.0601231103
发表时间：
2006-04-11
影响因子：
11.1
作者：
Ein-Dor, L;Zuk, O;Domany, E
通讯作者：
Domany, E