The impact of next-generation sequencing for diagnosis and disease understanding of myeloid malignancies

被引:0
作者
Vormittag-Nocito, Erica [1 ,2 ]
Sukhanova, Madina [1 ,2 ]
Godley, Lucy A. [2 ,3 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Dept Pathol, Div Genom, Chicago, IL USA
[2] Northwestern Univ, Robert H Lurie Comprehens Canc Ctr, Feinberg Sch Med, 303 E Superior St,Off 3-113, Chicago, IL 60611 USA
[3] Northwestern Univ, Feinberg Sch Med, Dept Med, Div Hematol Oncol, 303 E Superior St,Off 3-113, Chicago, IL 60611 USA
关键词
Next-generation sequencing; molecular profiling; somatic allele; germline variant; STRUCTURAL VARIANTS; LEUKEMIA; CAPTURE;
D O I
10.1080/14737159.2024.2383445
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
IntroductionDefining the chromosomal and molecular changes associated with myeloid neoplasms (MNs) optimizes clinical care through improved diagnosis, prognosis, treatment planning, and patient monitoring. This review will concisely describe the techniques used to profile MNs clinically today, with descriptions of challenges and emerging approaches that may soon become standard-of-care.Areas coveredIn this review, the authors discuss molecular assessment of MNs using non-sequencing techniques, including conventional cytogenetic analysis, fluorescence in situ hybridization, chromosomal genomic microarray testing; as well as DNA- or RNA-based next-generation sequencing (NGS) assays; and sequential monitoring via digital PCR or measurable residual disease assays. The authors explain why distinguishing somatic from germline alleles is critical for optimal management. Finally, they introduce emerging technologies, such as long-read, whole exome/genome, and single-cell sequencing, which are reserved for research purposes currently but will become clinical tests soon.Expert opinionThe authors describe challenges to the adoption of comprehensive genomic tests for those in resource-constrained environments and for inclusion into clinical trials. In the future, all aspects of patient care will likely be influenced by the adaptation of artificial intelligence and mathematical modeling, fueled by rapid advances in telecommunications.
引用
收藏
页码:591 / 600
页数:10
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