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骨髓增殖性肿瘤中的突变——其意义及临床应用

Mutations in myeloproliferative neoplasms - their significance and clinical use.

作者信息

Schischlik Fiorella, Kralovics Robert

机构信息

a CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences , Vienna , Austria.

出版信息

Expert Rev Hematol. 2017 Nov;10(11):961-973. doi: 10.1080/17474086.2017.1380515. Epub 2017 Sep 25.

Abstract

Clonal hematologic diseases of the blood such as polycythemia vera, essential thrombocythemia and primary myelofibrosis belong to the BCR-ABL negative Myeloproliferative Neoplasms (MPN). These diseases are characterized by clonal expansion of hematopoietic precursor cells followed by increased production of differentiated cells of the myeloid lineage. Initiation of clonal hematopoiesis, formation of a clinical phenotype as well as disease progression form part of MPN disease evolution. The disease is driven by acquired somatic mutations in critical pathways such as cytokine signaling, epigenetic regulation, RNA splicing, and transcription factor signaling. Areas covered: The following review aims to provide an overview of the mutational landscape of MPN, the impact of these mutations in MPN pathogenesis as well as their prognostic value. Finally, a summary of how these mutations are being used or could potentially be used for the treatment of MPN patients is presented. Expert commentary: The genetic landscape of MPN patients has been successfully dissected within the past years with the advent of new sequencing technologies. Integrating the genetic information within a clinical setting is already benefitting patients in terms of disease monitoring and prognostic information of disease progression but will be further intensified within the next years.

摘要

克隆性血液系统疾病,如真性红细胞增多症、原发性血小板增多症和原发性骨髓纤维化,属于BCR-ABL阴性骨髓增殖性肿瘤(MPN)。这些疾病的特征是造血前体细胞的克隆性扩增,随后髓系谱系分化细胞的产生增加。克隆性造血的起始、临床表型的形成以及疾病进展是MPN疾病演变的一部分。该疾病由细胞因子信号传导、表观遗传调控、RNA剪接和转录因子信号传导等关键途径中的获得性体细胞突变驱动。涵盖领域:以下综述旨在概述MPN的突变图谱、这些突变在MPN发病机制中的影响及其预后价值。最后,总结了这些突变如何或可能如何用于治疗MPN患者。专家评论:随着新测序技术的出现,MPN患者的遗传图谱在过去几年中已被成功解析。将遗传信息整合到临床环境中,已经在疾病监测和疾病进展的预后信息方面使患者受益,但在未来几年将进一步加强。

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