Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia

外显子组测序 生物 髓系白血病 个性化医疗 DNA测序 外显子组 髓样 基因组学 计算生物学 遗传学 基因组 基因 生物信息学 突变 癌症研究
作者
Eric J. Duncavage,Adam Bagg,Robert P. Hasserjian,Courtney D. DiNardo,Lucy A. Godley,Ilaria Iacobucci,Siddhartha Jaiswal,Luca Malcovati,Alessandro M. Vannucchi,Keyur P. Patel,Daniel A. Arber,Maria E. Arcila,Rafael Bejar,Nancy Berliner,Michael J. Borowitz,Susan Branford,Anna Brown,Catherine Cargo,Hartmut Döhner,Brunangelo Falini
出处
期刊:Blood [Elsevier BV]
卷期号:140 (21): 2228-2247 被引量:146
标识
DOI:10.1182/blood.2022015853
摘要

Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms.
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