Chevillard Sylvie, Ugolin Nicolas, Vielh Philippe, Ory Katherine, Levalois Céline, Elliott Danielle, Clayman Gary L, El-Naggar Adel K
Laboratoire de Cancérologie Expérimentale, Commissariat á L'Energie Atomique, Direction des Sciences du Vivant, Département du Radiobiologie et Radiopathologie, Fontenay-aux-Roses, France.
Clin Cancer Res. 2004 Oct 1;10(19):6586-97. doi: 10.1158/1078-0432.CCR-04-0053.
The purpose of this research was to identify novel genes that can be targeted as diagnostic and clinical markers of differentiated thyroid tumors.
Gene expression analysis using microarray platform was performed on 6 pathologically normal thyroid samples and 12 primary follicular and papillary thyroid neoplasms. Microarrays containing probes for 5,760 human full-length cDNAs were used for hybridization with total RNA from normal and tumor thyroid samples labeled with Cy3-dUTP and Cy5-dUTP, respectively. Scanned array images were recorded, and data analysis was performed. Selected sets of differentially expressed genes were analyzed using quantitative real-time reverse transcription-PCR for verification.
We identified 155 genes that differentiate histologically normal thyroid tissues from benign and malignant thyroid neoplasms. Of these 75 genes were differentiated between follicular neoplasms (adenoma and carcinoma) and the follicular variant of papillary carcinoma. Purely follicular neoplasms (adenomas and carcinomas) shared many genetic profiles, and only 43 genes were distinctly different between these tumors. Hierarchical cluster analysis also differentiated conventional papillary carcinoma from its follicular variant and follicular tumors. The differentially expressed genes were composed of members of cell differentiation, adhesion, immune response, and proliferation associated pathways. Quantitative real-time reverse transcription-PCR analysis of selected genes corroborated the microarray expression results.
Our study show the following: (1) differences in gene expression between tumor and nontumor bearing normal thyroid tissue can be identified, (2) a set of genes differentiate follicular neoplasm from follicular variant of papillary carcinoma, (3) follicular adenoma and carcinoma share many of the differentiated genes, and (4) gene expression differences identify conventional papillary carcinoma from the follicular variant.
本研究旨在鉴定可作为分化型甲状腺肿瘤诊断和临床标志物的新基因。
利用微阵列平台对6份病理正常的甲状腺样本以及12份原发性滤泡性和乳头状甲状腺肿瘤进行基因表达分析。使用包含5760个人类全长cDNA探针的微阵列分别与用Cy3-dUTP和Cy5-dUTP标记的正常和肿瘤甲状腺样本的总RNA进行杂交。记录扫描后的阵列图像并进行数据分析。使用定量实时逆转录PCR对选定的差异表达基因集进行分析以进行验证。
我们鉴定出155个可区分组织学正常甲状腺组织与良性和恶性甲状腺肿瘤的基因。其中75个基因在滤泡性肿瘤(腺瘤和癌)与乳头状癌的滤泡变体之间存在差异。单纯的滤泡性肿瘤(腺瘤和癌)具有许多共同的基因特征,这些肿瘤之间只有43个基因明显不同。层次聚类分析也区分了传统乳头状癌与其滤泡变体及滤泡性肿瘤。差异表达基因由细胞分化、黏附、免疫反应和增殖相关途径的成员组成。对选定基因的定量实时逆转录PCR分析证实了微阵列表达结果。
我们的研究表明:(1)可识别肿瘤性与非肿瘤性正常甲状腺组织之间的基因表达差异;(2)一组基因可区分滤泡性肿瘤与乳头状癌的滤泡变体;(3)滤泡性腺瘤和癌具有许多相同的差异表达基因;(4)基因表达差异可区分传统乳头状癌与其滤泡变体。