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基因表达谱可区分积液中的卵巢/腹膜浆液性癌与乳腺癌。

Gene expression signatures differentiate ovarian/peritoneal serous carcinoma from breast carcinoma in effusions.

机构信息

Division of Pathology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.

出版信息

J Cell Mol Med. 2011 Mar;15(3):535-44. doi: 10.1111/j.1582-4934.2010.01023.x.

Abstract

Ovarian/primary peritoneal carcinoma and breast carcinoma are the gynaecological cancers that most frequently involve the serosal cavities.With the objective of improving on the limited diagnostic panel currently available for the differential diagnosis of these two malignancies,as well as to define tumour-specific biological targets, we compared their global gene expression patterns. Gene expression profiles of 10 serous ovarian/peritoneal and eight ductal breast carcinoma effusions were analysed using the HumanRef-8 BeadChip from Illumina.Differentially expressed candidate genes were validated using quantitative real-time PCR and immunohistochemistry. Unsupervised hierarchical clustering using all 54,675 genes in the array separated ovarian from breast carcinoma samples. We identified 288 unique probes that were significantly differentially expressed in the two cancers by greater than 3.5-fold, of which 81 and 207 were overexpressed in breast and ovarian/peritoneal carcinoma, respectively. SAM analysis identified 1078 differentially expressed probes with false discovery rate less than 0.05. Genes overexpressed in breast carcinoma included TFF1, TFF3, FOXA1, CA12, GATA3, SDC1, PITX1, TH, EHFD1, EFEMP1, TOB1 and KLF2. Genes overexpressed in ovarian/peritoneal carcinoma included SPON1, RBP1, MFGE8, TM4SF12, MMP7, KLK5/6/7, FOLR1/3,PAX8, APOL2 and NRCAM. The differential expression of 14 genes was validated by quantitative real-time PCR, and differences in 5 gene products were confirmed by immunohistochemistry. Expression profiling distinguishes ovarian/peritoneal carcinoma from breast carcinoma and identifies genes that are differentially expressed in these two tumour types. The molecular signatures unique to these cancers may facilitate their differential diagnosis and may provide a molecular basis for therapeutic target discovery.

摘要

卵巢/原发性腹膜癌和乳腺癌是最常累及浆膜腔的妇科癌症。为了改善目前用于这两种恶性肿瘤鉴别诊断的有限诊断面板,并确定肿瘤特异性的生物学靶点,我们比较了它们的全基因表达模式。使用 Illumina 的 HumanRef-8 BeadChip 分析了 10 例浆液性卵巢/腹膜和 8 例导管性乳腺癌渗出液的基因表达谱。使用定量实时 PCR 和免疫组织化学验证差异表达的候选基因。使用阵列中所有 54675 个基因进行无监督层次聚类,将卵巢癌与乳腺癌样本分开。我们确定了 288 个在两种癌症中差异表达超过 3.5 倍的独特探针,其中 81 个和 207 个在乳腺癌和卵巢/腹膜癌中分别过表达。SAM 分析确定了 1078 个差异表达探针,假发现率小于 0.05。在乳腺癌中过表达的基因包括 TFF1、TFF3、FOXA1、CA12、GATA3、SDC1、PITX1、TH、EHFD1、EFEMP1、TOB1 和 KLF2。在卵巢/腹膜癌中过表达的基因包括 SPON1、RBP1、MFGE8、TM4SF12、MMP7、KLK5/6/7、FOLR1/3、PAX8、APOL2 和 NRCAM。14 个基因的差异表达通过定量实时 PCR 进行验证,5 个基因产物的差异通过免疫组织化学证实。表达谱可区分卵巢/腹膜癌和乳腺癌,并鉴定出在这两种肿瘤类型中差异表达的基因。这些癌症特有的分子特征可能有助于它们的鉴别诊断,并为治疗靶点的发现提供分子基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ec/3922375/665dd788bab3/jcmm0015-0535-f1.jpg

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