Matos Irina, Dufloth Rozany, Alvarenga Marcelo, Zeferino Luiz Carlos, Schmitt Fernando
Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal.
Virchows Arch. 2005 Oct;447(4):688-94. doi: 10.1007/s00428-005-0010-7. Epub 2005 Oct 19.
Human breast carcinomas represent a heterogeneous group of tumors diverse in behavior, outcome, and response to therapy. However, the current system of pathological classification does not take into account biologic determinants of prognosis. The purpose of this study was to classify and characterize breast carcinomas based on variations in protein expression patterns derived from immunohistochemical analyses on tissue microarrays (TMAs). Therefore, 11 TMAs representing 168 invasive breast carcinomas were constructed. Breast tumors were classified into four different subtypes depending on estrogen receptor (ER) and HER2 expression. Basal-type tumors expressed neither of these proteins and represented 7.6% of our series; basal-like HER2-overexpressing tumors did not express ER and represented 17.7%; luminal-type tumors expressed ER and represented 72.8% of this series (luminal A 56.3%, luminal B 16.5%). Moreover, we characterized each subtype based on P-cadherin (P-CD), p63, cytokeratin (CK)5, BCL2, and Ki67 expression. Basal-type tumors were mostly grade III, more frequently P-CD-, p63-, and CK5-positive, and had a high proliferation rate. Conversely, luminal-type tumors rarely expressed basal markers and had a low grade and proliferation rate. Basal-like HER2-overexpressing tumors showed a basal-type profile similar with a high grade and up-regulation of P-CD and CK5. With this study, we show that P-CD, p63, and CK5 are important molecular markers that can be used to distinguish a basal phenotype. In addition, we also demonstrate the usefulness of TMAs in breast carcinoma immunoprofiling.
人类乳腺癌是一组行为、预后和对治疗反应各异的异质性肿瘤。然而,目前的病理分类系统并未考虑预后的生物学决定因素。本研究的目的是基于组织微阵列(TMA)免疫组化分析得出的蛋白质表达模式变化,对乳腺癌进行分类和特征描述。因此,构建了代表168例浸润性乳腺癌的11个TMA。根据雌激素受体(ER)和HER2表达,将乳腺肿瘤分为四种不同亚型。基底型肿瘤这两种蛋白均不表达,占我们研究系列的7.6%;基底样HER2过表达肿瘤不表达ER,占17.7%;管腔型肿瘤表达ER,占该系列的72.8%(管腔A型56.3%,管腔B型16.5%)。此外,我们根据P-钙黏蛋白(P-CD)、p63、细胞角蛋白(CK)5、BCL2和Ki67表达对每种亚型进行了特征描述。基底型肿瘤大多为III级,更频繁地为P-CD、p63和CK5阳性,且增殖率高。相反,管腔型肿瘤很少表达基底标志物,分级和增殖率低。基底样HER2过表达肿瘤显示出与基底型相似的特征,分级高,P-CD和CK5上调。通过本研究,我们表明P-CD、p63和CK5是可用于区分基底表型的重要分子标志物。此外,我们还证明了TMA在乳腺癌免疫分型中的实用性。