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在骨髓增生异常综合征伴原始细胞增多的慢性髓系白血病(MBC-CML)的整合基因组测序中,确定了在白血病发生模型背景下具有潜在重要意义的发现。

Integrated genomic sequencing in myeloid blast crisis chronic myeloid leukemia (MBC-CML), identified potentially important findings in the context of leukemogenesis model.

机构信息

Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.

Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.

出版信息

Sci Rep. 2022 Jul 27;12(1):12816. doi: 10.1038/s41598-022-17232-w.

DOI:10.1038/s41598-022-17232-w
PMID:35896598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9329277/
Abstract

Chronic myeloid leukemia (CML) is a model of leukemogenesis in which the exact molecular mechanisms underlying blast crisis still remained unexplored. The current study identified multiple common and rare important findings in myeloid blast crisis CML (MBC-CML) using integrated genomic sequencing, covering all classes of genes implicated in the leukemogenesis model. Integrated genomic sequencing via Whole Exome Sequencing (WES), Chromosome-seq and RNA-sequencing were conducted on the peripheral blood samples of three CML patients in the myeloid blast crisis. An in-house filtering pipeline was applied to assess important variants in cancer-related genes. Standard variant interpretation guidelines were used for the interpretation of potentially important findings (PIFs) and potentially actionable findings (PAFs). Single nucleotide variation (SNV) and small InDel analysis by WES detected sixteen PIFs affecting all five known classes of leukemogenic genes in myeloid malignancies including signaling pathway components (ABL1, PIK3CB, PTPN11), transcription factors (GATA2, PHF6, IKZF1, WT1), epigenetic regulators (ASXL1), tumor suppressor and DNA repair genes (BRCA2, ATM, CHEK2) and components of spliceosome (PRPF8). These variants affect genes involved in leukemia stem cell proliferation, self-renewal, and differentiation. Both patients No.1 and No.2 had actionable known missense variants on ABL1 (p.Y272H, p.F359V) and frameshift variants on ASXL1 (p.A627Gfs8, p.G646Wfs12). The GATA2-L359S in patient No.1, PTPN11-G503V and IKZF1-R208Q variants in the patient No.3 were also PAFs. RNA-sequencing was used to confirm all of the identified variants. In the patient No. 3, chromosome sequencing revealed multiple pathogenic deletions in the short and long arms of chromosome 7, affecting at least three critical leukemogenic genes (IKZF1, EZH2, and CUX1). The large deletion discovered on the short arm of chromosome 17 in patient No. 2 resulted in the deletion of TP53 gene as well. Integrated genomic sequencing combined with RNA-sequencing can successfully discover and confirm a wide range of variants, from SNVs to CNVs. This strategy may be an effective method for identifying actionable findings and understanding the pathophysiological mechanisms underlying MBC-CML, as well as providing further insights into the genetic basis of MBC-CML and its management in the future.

摘要

慢性髓性白血病(CML)是白血病发生的一种模型,其导致急变期的确切分子机制仍未被探索。本研究通过整合基因组测序,对三种处于髓性急变期的 CML 患者的外周血样本进行了研究,鉴定出了多种常见和罕见的重要发现,涵盖了白血病发生模型中涉及的所有基因类别。通过全外显子测序(WES)、染色体测序和 RNA 测序进行了整合基因组测序。使用内部过滤管道评估了癌症相关基因中的重要变异。使用标准变异解释指南对潜在重要发现(PIFs)和潜在可操作发现(PAFs)进行解释。WES 的单核苷酸变异(SNV)和小插入缺失(InDel)分析检测到 16 个 PIFs,影响髓性恶性肿瘤中所有五个已知的致白血病基因类别,包括信号通路成分(ABL1、PIK3CB、PTPN11)、转录因子(GATA2、PHF6、IKZF1、WT1)、表观遗传调节剂(ASXL1)、肿瘤抑制基因和 DNA 修复基因(BRCA2、ATM、CHEK2)以及剪接体成分(PRPF8)。这些变异影响参与白血病干细胞增殖、自我更新和分化的基因。患者 1 号和 2 号均有 ABL1 上的致病性错义变异(p.Y272H、p.F359V)和 ASXL1 上的移码变异(p.A627Gfs8、p.G646Wfs12)。患者 1 号的 GATA2-L359S、患者 3 号的 PTPN11-G503V 和 IKZF1-R208Q 变异也是 PAFs。RNA-seq 用于确认所有鉴定出的变异。在患者 3 号中,染色体测序显示 7 号染色体短臂和长臂上存在多个致病性缺失,影响至少三个关键的致白血病基因(IKZF1、EZH2 和 CUX1)。患者 2 号 17 号染色体短臂上发现的大片段缺失也导致 TP53 基因缺失。整合基因组测序与 RNA-seq 相结合可成功发现和确认广泛的变异,包括 SNV 和 CNV。这种策略可能是识别可操作发现和了解 MBC-CML 发病机制的有效方法,并为未来提供对 MBC-CML 的遗传基础及其管理的进一步了解。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75a3/9329277/1f75e1f9c22d/41598_2022_17232_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75a3/9329277/54a559cfeb24/41598_2022_17232_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75a3/9329277/7b1538cd78f6/41598_2022_17232_Fig3_HTML.jpg
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