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慢性粒单核细胞白血病的基因组景观与风险分层

Genomic Landscape and Risk Stratification in Chronic Myelomonocytic Leukemia.

机构信息

Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.

Department of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA.

出版信息

Curr Hematol Malig Rep. 2021 Jun;16(3):247-255. doi: 10.1007/s11899-021-00613-9. Epub 2021 Mar 3.

Abstract

PURPOSE

The advent of next-generation sequencing has allowed for the annotation of a vast array of recurrent somatic mutations across human malignancies, ushering in a new era of precision oncology. Chronic myelomonocytic leukemia is recognized as a myelodysplastic/myeloproliferative neoplasm and displays heterogenous clinical and genetic features. Herein, we review what is currently understood regarding the genomic landscape of this disease and discuss how somatic mutations have impacted current risk stratification methods.

RECENT FINDINGS

Genomic studies in chronic myelomonocytic leukemia have identified a characteristic spectrum of cytogenetic and molecular abnormalities. Chromosomal abnormalities are detected in ~30% of patients and somatic gene mutations in up to 90% of patients, most commonly in TET2, SRSF2, and ASXL1. While cytogenetic abnormalities have long been known to impact the prognosis of myeloid neoplasms, recent studies have identified that somatic mutations impact prognosis independent of cytogenetic and clinical variables. This is best exemplified by mutations in ASXL1, which have been uniformly associated with inferior survival. These findings have led to the development of three molecularly inspired prognostic models, in an attempt to more accurately prognosticate in the disease. Our understanding of the genomic landscape of chronic myelomonocytic leukemia continues to evolve, with somatic mutations demonstrating an expanding role in diagnosis, risk stratification, and therapeutic decision-making. Given these findings, molecular profiling by next-generation sequencing should be considered standard of care in all patients.

摘要

目的

下一代测序技术的出现使得对人类恶性肿瘤中大量反复出现的体细胞突变进行注释成为可能,从而开创了精准肿瘤学的新时代。慢性髓单核细胞白血病被认为是一种骨髓增生异常/骨髓增殖性肿瘤,并表现出异质性的临床和遗传特征。本文回顾了目前对这种疾病基因组景观的理解,并讨论了体细胞突变如何影响当前的风险分层方法。

最新发现

慢性髓单核细胞白血病的基因组研究确定了一个特征性的细胞遗传学和分子异常谱。染色体异常在约 30%的患者中检测到,而体细胞基因突变在高达 90%的患者中检测到,最常见的是 TET2、SRSF2 和 ASXL1。虽然细胞遗传学异常早已被认为会影响髓系肿瘤的预后,但最近的研究表明,体细胞突变独立于细胞遗传学和临床变量影响预后。这一点最好的例子是 ASXL1 突变,它与预后不良一致。这些发现导致了三种基于分子的预后模型的发展,试图更准确地预测疾病的预后。我们对慢性髓单核细胞白血病的基因组景观的理解仍在不断发展,体细胞突变在诊断、风险分层和治疗决策方面的作用不断扩大。鉴于这些发现,下一代测序的分子谱分析应被视为所有患者的标准治疗。

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