Korkola James E, DeVries Sandy, Fridlyand Jane, Hwang E Shelley, Estep Anne L H, Chen Yunn-Yi, Chew Karen L, Dairkee Shanaz H, Jensen Ronald M, Waldman Frederic M
Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94143-0808, USA.
Cancer Res. 2003 Nov 1;63(21):7167-75.
Invasive lobular and ductal breast tumors have distinct histologies and clinical presentation. Other than altered expression of E-cadherin, little is known about the underlying biology that distinguishes the tumor subtypes. We used cDNA microarrays to identify genes differentially expressed between lobular and ductal tumors. Unsupervised clustering of tumors failed to distinguish between the two subtypes. Prediction analysis for microarrays (PAM) was able to predict tumor type with an accuracy of 93.7%. Genes that were significantly differentially expressed between the two groups were identified by MaxT permutation analysis using t tests (20 cDNA clones and 10 unique genes), significance analysis for microarrays (33 cDNA clones and 15 genes, at an estimated false discovery rate of 2%), and PAM (31 cDNAs and 15 genes). There were 8 genes identified by all three of these related methods (E-cadherin, survivin, cathepsin B, TPI1, SPRY1, SCYA14, TFAP2B, and thrombospondin 4), and an additional 3 that were identified by significance analysis for microarrays and PAM (osteopontin, HLA-G, and CHC1). To validate the differential expression of these genes, 7 of them were tested by real-time quantitative PCR, which verified that they were differentially expressed in lobular versus ductal tumors. In conclusion, specific changes in gene expression distinguish lobular from ductal breast carcinomas. These genes may be important in understanding the basis of phenotypic differences among breast cancers.
浸润性小叶癌和导管癌具有不同的组织学特征和临床表现。除了E-钙黏蛋白表达改变外,对于区分这两种肿瘤亚型的潜在生物学机制知之甚少。我们使用cDNA微阵列来鉴定小叶癌和导管癌之间差异表达的基因。肿瘤的无监督聚类未能区分这两种亚型。微阵列预测分析(PAM)能够以93.7%的准确率预测肿瘤类型。通过使用t检验的MaxT置换分析(20个cDNA克隆和10个独特基因)、微阵列显著性分析(33个cDNA克隆和15个基因,估计错误发现率为2%)以及PAM(31个cDNA和15个基因),确定了两组之间显著差异表达的基因。通过这三种相关方法共鉴定出8个基因(E-钙黏蛋白、生存素、组织蛋白酶B、TPI1、SPRY1、SCYA14、TFAP2B和血小板反应蛋白4),另外还有3个基因通过微阵列显著性分析和PAM鉴定出来(骨桥蛋白、HLA-G和CHC1)。为了验证这些基因的差异表达,其中7个基因通过实时定量PCR进行了检测,结果证实它们在小叶癌和导管癌中存在差异表达。总之,基因表达的特定变化区分了小叶乳腺癌和导管乳腺癌。这些基因可能对于理解乳腺癌表型差异的基础很重要。