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家族性非髓样甲状腺癌(FNMTC)的遗传学

Genetics of Familial Non-Medullary Thyroid Carcinoma (FNMTC).

作者信息

Diquigiovanni Chiara, Bonora Elena

机构信息

Unit of Medical Genetics, Department of Medical and Surgical Sciences; University of Bologna, 40138 Bologna, Italy.

出版信息

Cancers (Basel). 2021 Apr 30;13(9):2178. doi: 10.3390/cancers13092178.

Abstract

Non-medullary thyroid carcinoma (NMTC) is the most frequent endocrine tumor and originates from the follicular epithelial cells of the thyroid. Familial NMTC (FNMTC) has been defined in pedigrees where two or more first-degree relatives of the patient present the disease in absence of other predisposing environmental factors. Compared to sporadic cases, FNMTCs are often multifocal, recurring more frequently and showing an early age at onset with a worse outcome. FNMTC cases show a high degree of genetic heterogeneity, thus impairing the identification of the underlying molecular causes. Over the last two decades, many efforts in identifying the susceptibility genes in large pedigrees were carried out using linkage-based approaches and genome-wide association studies, leading to the identification of susceptibility loci and variants associated with NMTC risk. The introduction of next-generation sequencing technologies has greatly contributed to the elucidation of FNMTC predisposition, leading to the identification of novel candidate variants, shortening the time and cost of gene tests. In this review we report the most significant genes identified for the FNMTC predisposition. Integrating these new molecular findings in the clinical data of patients is fundamental for an early detection and the development of tailored therapies, in order to optimize patient management.

摘要

非髓样甲状腺癌(NMTC)是最常见的内分泌肿瘤,起源于甲状腺的滤泡上皮细胞。家族性非髓样甲状腺癌(FNMTC)被定义为患者的两个或更多一级亲属在无其他易患环境因素的情况下患该病的家系。与散发性病例相比,FNMTC通常为多灶性,复发更频繁,发病年龄更早,预后更差。FNMTC病例表现出高度的遗传异质性,因此难以确定潜在的分子病因。在过去二十年中,人们利用基于连锁的方法和全基因组关联研究,在大型家系中进行了许多寻找易感基因的工作,从而确定了与NMTC风险相关的易感位点和变异。新一代测序技术的引入极大地促进了对FNMTC易感性的阐明,从而确定了新的候选变异,缩短了基因检测的时间和成本。在本综述中,我们报告了为FNMTC易感性确定的最重要基因。将这些新的分子发现整合到患者的临床数据中,对于早期检测和制定个性化治疗方案至关重要,以便优化患者管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4212/8125431/39150ee65e9c/cancers-13-02178-g001.jpg

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