下一代测序对诊断和了解骨髓恶性肿瘤疾病的影响。

IF 3.9 3区 医学 Q1 PATHOLOGY Expert Review of Molecular Diagnostics Pub Date : 2024-07-01 Epub Date: 2024-07-25 DOI:10.1080/14737159.2024.2383445
Erica Vormittag-Nocito, Madina Sukhanova, Lucy A Godley
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引用次数: 0

摘要

简介:确定与骨髓性肿瘤(MNs)相关的染色体和分子变化可通过改善诊断、预后、治疗计划和患者监测来优化临床治疗。这篇综述将简明扼要地描述目前临床上用于MNs特征描述的技术,并介绍可能很快成为标准治疗方法的挑战和新兴方法:在这篇综述中,作者讨论了使用非测序技术对 MNs 进行分子评估,包括传统细胞遗传学分析、荧光原位杂交、染色体基因组微阵列检测;以及基于 DNA 或 RNA 的下一代测序 (NGS) 检测;以及通过数字 PCR 或可测残留疾病检测进行序列监测。作者解释了为什么区分体细胞等位基因和种系等位基因对于优化管理至关重要。最后,他们介绍了一些新兴技术,如长线程测序、全外显子组/基因组测序和单细胞测序,这些技术目前仅用于研究目的,但不久将成为临床测试:作者描述了在资源有限的环境中采用全面基因组检测以及将其纳入临床试验所面临的挑战。未来,患者护理的方方面面都可能受到人工智能和数学建模的影响,而电信技术的飞速发展也将为其提供动力。
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The impact of next-generation sequencing for diagnosis and disease understanding of myeloid malignancies.

Introduction: Defining 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 covered: In 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 opinion: The 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.

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来源期刊
CiteScore
6.60
自引率
0.00%
发文量
71
审稿时长
1 months
期刊介绍: Expert Review of Molecular Diagnostics (ISSN 1473-7159) publishes expert reviews of the latest advancements in the field of molecular diagnostics including the detection and monitoring of the molecular causes of disease that are being translated into groundbreaking diagnostic and prognostic technologies to be used in the clinical diagnostic setting. Each issue of Expert Review of Molecular Diagnostics contains leading reviews on current and emerging topics relating to molecular diagnostics, subject to a rigorous peer review process; editorials discussing contentious issues in the field; diagnostic profiles featuring independent, expert evaluations of diagnostic tests; meeting reports of recent molecular diagnostics conferences and key paper evaluations featuring assessments of significant, recently published articles from specialists in molecular diagnostic therapy. Expert Review of Molecular Diagnostics provides the forum for reporting the critical advances being made in this ever-expanding field, as well as the major challenges ahead in their clinical implementation. The journal delivers this information in concise, at-a-glance article formats: invaluable to a time-constrained community.
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