Giordano Thomas J, Kuick Rork, Thomas Dafydd G, Misek David E, Vinco Michelle, Sanders Donita, Zhu Zhaowen, Ciampi Raffaele, Roh Michael, Shedden Kerby, Gauger Paul, Doherty Gerard, Thompson Norman W, Hanash Samir, Koenig Ronald J, Nikiforov Yuri E
Department of Pathology, UH 2G332/0054, University of Michigan Medical School, Ann Arbor, 48109-0054, USA.
Oncogene. 2005 Oct 6;24(44):6646-56. doi: 10.1038/sj.onc.1208822.
Thyroid cancer poses a significant clinical challenge, and our understanding of its pathogenesis is incomplete. To gain insight into the pathogenesis of papillary thyroid carcinoma, transcriptional profiles of four normal thyroids and 51 papillary carcinomas (PCs) were generated using DNA microarrays. The tumors were genotyped for their common activating mutations: BRAF V600E point mutation, RET/PTC1 and 3 rearrangement and point mutations of KRAS, HRAS and NRAS. Principal component analysis based on the entire expression data set separated the PCs into three groups that were found to reflect tumor morphology and mutational status. By combining expression profiles with mutational status, we defined distinct expression profiles for the BRAF, RET/PTC and RAS mutation groups. Using small numbers of genes, a simple classifier was able to classify correctly the mutational status of all 40 tumors with known mutations. One tumor without a detectable mutation was predicted by the classifier to have a RET/PTC rearrangement and was shown to contain one by fluorescence in situ hybridization analysis. Among the mutation-specific expression signatures were genes whose differential expression was a direct consequence of the mutation, as well as genes involved in a variety of biological processes including immune response and signal transduction. Expression of one mutation-specific differentially expressed gene, TPO, was validated at the protein level using immunohistochemistry and tissue arrays containing an independent set of tumors. The results demonstrate that mutational status is the primary determinant of gene expression variation within these tumors, a finding that may have clinical and diagnostic significance and predicts success for therapies designed to prevent the consequences of these mutations.
甲状腺癌构成了重大的临床挑战,而我们对其发病机制的理解并不完整。为了深入了解甲状腺乳头状癌的发病机制,我们使用DNA微阵列技术生成了4个正常甲状腺组织和51个乳头状癌(PC)的转录谱。对这些肿瘤进行常见激活突变的基因分型:BRAF V600E点突变、RET/PTC1和3重排以及KRAS、HRAS和NRAS的点突变。基于整个表达数据集的主成分分析将PC分为三组,发现这三组反映了肿瘤形态和突变状态。通过将表达谱与突变状态相结合,我们为BRAF、RET/PTC和RAS突变组定义了不同的表达谱。使用少量基因,一个简单的分类器能够正确分类所有40个已知突变肿瘤的突变状态。分类器预测一个未检测到突变的肿瘤有RET/PTC重排,荧光原位杂交分析显示其确实含有一个。在突变特异性表达特征中,有一些基因的差异表达是突变的直接结果,还有一些基因参与了包括免疫反应和信号转导在内的多种生物学过程。使用免疫组织化学和包含独立肿瘤集的组织芯片在蛋白质水平验证了一个突变特异性差异表达基因TPO的表达。结果表明,突变状态是这些肿瘤内基因表达变异的主要决定因素,这一发现可能具有临床和诊断意义,并预测旨在预防这些突变后果的治疗方法会取得成功。