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骨髓抽吸物浅层全基因组测序在骨髓增生异常肿瘤中的应用:与细胞遗传学的回顾性比较。

Shallow whole-genome sequencing of bone marrow aspirates in myelodysplastic neoplasms: A retrospective comparison with cytogenetics.

机构信息

Center for Human Genetics, KU Leuven, Leuven, Belgium.

Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.

出版信息

Genes Chromosomes Cancer. 2023 Nov;62(11):663-671. doi: 10.1002/gcc.23183. Epub 2023 Jun 9.

Abstract

Copy number alterations (CNA) are powerful prognostic markers in myelodysplastic neoplasms (MDS) and are routinely analyzed by conventional cytogenetic analysis (CCA) on bone marrow (BM). Although CCA is still the gold standard, it requires extensive hands-on time and highly trained staff for the analysis, making it a laborious technique. To reduce turn-around-time per case, shallow whole genome sequencing (sWGS) technologies offer new perspectives for the diagnostic work-up of this disorder. We compared sWGS with CCA for the detection of CNAs in 33 retrospective BM samples of patients with MDS. Using sWGS, CNAs were detected in all cases and additionally allowed the analysis of three cases for which CCA failed. The prognostic stratification (IPSS-R score) of 27 out of 30 patients was the same with both techniques. In the remaining cases, discrepancies were caused by the presence of balanced translocations escaping sWGS detection in two cases, a subclonal aberration reported with CCA that could not be confirmed by FISH or sWGS, and the presence of an isodicentric chromosome idic(17)(p11) missed by CCA. Since sWGS can almost entirely be automated, our findings indicate that sWGS is valuable in a routine setting validating it as a cost-efficient tool.

摘要

拷贝数改变(CNA)是骨髓增生异常综合征(MDS)强有力的预后标志物,通常通过骨髓(BM)的常规细胞遗传学分析(CCA)进行分析。尽管 CCA 仍然是金标准,但它需要大量的人工时间和经过高度训练的人员进行分析,因此是一项繁琐的技术。为了减少每个病例的周转时间,浅层全基因组测序(sWGS)技术为该疾病的诊断提供了新的视角。我们比较了 sWGS 与 CCA 在 33 例 MDS 患者的回顾性 BM 样本中对 CNA 的检测。使用 sWGS,在所有病例中均检测到 CNA,并且还允许对 CCA 失败的三个病例进行分析。两种技术的 30 例患者中的 27 例的预后分层(IPSS-R 评分)相同。在其余病例中,差异是由两个病例中逃避 sWGS 检测的平衡易位引起的,一个在 CCA 中报告的亚克隆异常,不能通过 FISH 或 sWGS 证实,以及 CCA 错过的等臂染色体 idic(17)(p11)。由于 sWGS 几乎可以完全自动化,我们的发现表明 sWGS 在常规环境中是有价值的,验证了它是一种具有成本效益的工具。

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