急性髓系白血病的基因特征与风险分层
Genetic Characterization and Risk Stratification of Acute Myeloid Leukemia.
作者信息
Pourrajab Fatemeh, Zare-Khormizi Mohamad Reza, Hashemi Azam Sadat, Hekmatimoghaddam Seyedhossein
机构信息
Department of Biochemistry and Molecular Biology, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Nutrition and Food Security Research Centre, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
出版信息
Cancer Manag Res. 2020 Mar 25;12:2231-2253. doi: 10.2147/CMAR.S242479. eCollection 2020.
The most common acute leukemia in adults is acute myeloid leukemia (AML). The pathophysiology of the disease associates with cytogenetic abnormalities, gene mutations and aberrant gene expressions. At the molecular level, the disease manifests as changes in both epigenetic and genetic signatures. At the clinical level, two aspects of AML should be taken into account. First, the molecular changes occurring in the disease are important prognostic and predictive markers of AML. Second, use of novel therapies targeting these molecular changes. Currently, cytogenetic abnormalities and molecular alterations are the common biomarkers for the prognosis and choice of treatment for AML. Finding a panel of multiple biomarkers is a crucial diagnostic step for patient classification and serves as a prerequisite for individualized treatment strategies. Furthermore, the most important way of identifying relevant targets for new treatment approaches is defining specific patterns or a spectrum of driver gene mutations occurring in AML. Then, an algorithm can be established by the use of several biomarkers, to be used for personalized medicine. This review deals with molecular alterations, risk stratification, and relevant therapeutic decision-making in AML.
成人中最常见的急性白血病是急性髓系白血病(AML)。该疾病的病理生理学与细胞遗传学异常、基因突变及异常基因表达相关。在分子水平上,该疾病表现为表观遗传和基因特征的改变。在临床层面,AML应考虑两个方面。第一,疾病中发生的分子变化是AML重要的预后和预测标志物。第二,使用针对这些分子变化的新型疗法。目前,细胞遗传学异常和分子改变是AML预后和治疗选择的常见生物标志物。找到一组多种生物标志物是对患者进行分类的关键诊断步骤,也是个体化治疗策略的先决条件。此外,确定新治疗方法相关靶点的最重要方法是定义AML中发生的特定模式或一系列驱动基因突变。然后,可以通过使用几种生物标志物建立一种算法,用于个性化医疗。本综述探讨了AML中的分子改变、风险分层及相关治疗决策。