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c-MET 抑制:散发性和 MEN1 相关的 GEP NET 的新治疗方法。

c-MET inhibition: novel treatment for sporadic and MEN1-associated GEP NETs.

机构信息

Metabolic Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.

Developmental Therapeutics Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

出版信息

J Mol Endocrinol. 2020 Aug;65(2):R1-R17. doi: 10.1530/JME-20-0020.

Abstract

Gastroenteropancreatic neuroendocrine tumors (GEP NETs) comprise a heterogenous and diverse group of neoplasms arising from a common neuroendocrine cell origin. The majority of these tumors occur sporadically while ~20% manifest within the context of hereditary syndromes. Germline MEN1 mutations cause a syndrome with an increased susceptibility to multifocal primary GEP NETs. In addition, somatic MEN1 mutations also occur in these sporadic lesions. MEN1 alterations are the most frequent somatic mutation found in pancreatic neuroendocrine tumors. In this review, we explore the implication of the loss of the MEN1-encoded protein menin as a key pathogenic driver in subsets of GEP NETs with downstream consequences including upregulation of the oncogenic receptor c-MET (hepatocyte growth factor receptor). Furthermore, the review will summarize the data related to the clinical presentation, therapeutic standards, and outcomes of these tumors in both sporadic and germline MEN1 mutation-associated contexts. Finally, we present the data on c-MET expression in GEP NETs, clinical trials using c-MET inhibitors and provide an overview of the molecular mechanisms by which c-MET inhibition in these lesions represents a potential precision-medicine targeted approach.

摘要

胃肠胰神经内分泌肿瘤(GEP NETs)由起源于共同神经内分泌细胞的异质性和多样化肿瘤组成。这些肿瘤大多数是散发性的,而约 20%的肿瘤发生在遗传性综合征的背景下。种系 MEN1 突变导致多发性原发性 GEP NET 易感性增加的综合征。此外,这些散发性病变中也存在体细胞 MEN1 突变。MEN1 改变是在胰腺神经内分泌肿瘤中发现的最常见的体细胞突变。在这篇综述中,我们探讨了 MEN1 编码蛋白 menin 的缺失作为 GEP NET 亚群中的关键致病驱动因素的意义,其下游后果包括致癌受体 c-MET(肝细胞生长因子受体)的上调。此外,该综述将总结这些肿瘤在散发性和种系 MEN1 突变相关背景下的临床表现、治疗标准和结果的相关数据。最后,我们介绍了 GEP NETs 中 c-MET 表达的数据、使用 c-MET 抑制剂的临床试验,并概述了 c-MET 抑制在这些病变中作为一种潜在的精准医学靶向方法的分子机制。

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