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Gene expression signature discriminates sporadic from post-radiotherapy-induced thyroid tumors

机译:基因表达特征区分放射治疗后诱发的甲状腺肿瘤

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Both external and internal exposure to ionizing radiation are strong risk factors for the development of thyroid tumors. Until now, the diagnosis of radiation-induced thyroid tumors has been deduced from a network of arguments taken together with the individual history of radiation exposure. Neither the histological features nor the genetic alterations observed in these tumors have been shown to be specific fingerprints of an exposure to radiation. The aim of our work is to define ionizing radiation-related molecular specificities in a series of secondary thyroid tumors developed in the radiation field of patients treated by radiotherapy. To identify molecular markers that could represent a radiation-induction signature, we compared 25K microarray transcriptome profiles of a learning set of 28 thyroid tumors, which comprised 14 follicular thyroid adenomas (FTA) and 14 papillary thyroid carcinomas (PTC), either sporadic or consecutive to external radiotherapy in childhood. We identified a signature composed of 322 genes which discriminates radiation-induced tumors (FTA and PTC) from their sporadic counterparts. The robustness of this signature was further confirmed by blind case-by-case classification of an independent set of 29 tumors (16 FTA and 13 PTC). After the histology code break by the clinicians, 26/29 tumors were well classified regarding tumor etiology, 1 was undetermined, and 2 were misclassified. Our results help shed light on radiation-induced thyroid carcinogenesis, since specific molecular pathways are deregulated in radiation-induced tumors.
机译:内部和外部暴露于电离辐射中都是甲状腺肿瘤发展的强大危险因素。直到现在,放射线诱发的甲状腺肿瘤的诊断还是根据与放射线暴露史相关的论证网络推导出来的。在这些肿瘤中观察到的组织学特征或遗传改变均未显示为辐射暴露的特定指纹。我们的工作目的是在由放射疗法治疗的患者的放射领域中发展出的一系列继发性甲状腺肿瘤中,定义与电离辐射相关的分子特异性。为了鉴定可能代表辐射诱导特征的分子标记,我们比较了学习组的28个甲状腺肿瘤的25K微阵列转录组谱,其中包括14个散发性或连续性甲状腺滤泡性腺瘤(FTA)和14个甲状腺乳头状癌(PTC)。在儿童时期接受外部放射治疗。我们确定了一个由322个基因组成的标记,这些基因将辐射诱发的肿瘤(FTA和PTC)与零星的对应肿瘤区分开。通过对一组独立的29个肿瘤(16个FTA和13个PTC)进行逐例盲目分类,进一步证实了该签名的鲁棒性。在临床医生打破组织学编码后,就肿瘤病因而言,对26/29个肿瘤进行了很好的分类,未确定1个,错误分类了2个。我们的研究结果有助于阐明放射线诱发的甲状腺癌的发生,因为在放射线诱发的肿瘤中特定的分子途径被放松。

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