Leveraging a spectrum of cytogenomics methods for profiling complex karyotypes in chronic lymphocytic leukemia.

IF 4.1 3区 医学 Q2 GENETICS & HEREDITY
Karolina Cernovska, Sabina Penazova, Kamila Stranska, Jakub Paweł Porc, Patricie Skalakova, Eva Ondrouskova, Tobias Rausch, Jan Svaton, Kristyna Tausova, Natalie Kazdova, Karol Pal, Jakub Hynst, Vladimir Benes, Marie Jarosova, Sarka Pospisilova, Jana Kotaskova, Karla Plevova
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引用次数: 0

Abstract

BACKGROUND: A highly complex karyotype (high-CK) is a key biomarker of poor prognosis in chronic lymphocytic leukemia (CLL). While conventional methods lack the resolution to fully characterize complex structural variants (SVs), emerging technologies such as short-read WGS (sr-WGS), nanopore sequencing (ONT), optical genome mapping (OGM), and chromatin conformation capture (Micro-C) offer powerful tools for high-resolution SVs analysis, illuminating the genomic architecture underlying CLL. METHODS: We selected nine CLL cases bearing diverse genomic alterations. Each underwent routine diagnostic evaluation via chromosome banding analysis (CBA), multicolor fluorescence in situ hybridization (mFISH), and chromosomal microarray (CMA) and was further analyzed using sr-WGS, ONT, OGM, and Micro-C. We performed a comprehensive comparison of copy number variants (CNVs) and SVs across all methods. RESULTS: Across five methods (CMA, ONT, OGM, sr-WGS, Micro-C), 56.3% (179/318) of CNVs were consistently detected. A high-confidence CNV set, defined as those identified by ≥ 3 methods, comprised 70.4% (224/318). SV detection varied by genome complexity: 2910 unique breakends (BNDs) were identified, with only 10.9% (320/2910) supported by all methods. A high-confidence SV set, supported by ≥ 3 methods, included 20.4% (595/2910) of BNDs. Dicentric chromosomes (DICs) and complex derivative chromosomes (CDERs), particularly those involving BNDs near centromeric or telomeric regions, were the most difficult to resolve. Micro-C fully confirmed 71.4% (5/7) of CDERs and all ten DICs. Overall, Micro-C aligned best with classical cytogenetics, confirming 85.5% (47/55) of aberrations, followed by OGM (65.5%) and both ONT and sr-WGS (56.4%). CONCLUSION: Each technology offers unique insights into the leukemia genome. Combining classical cytogenetics with high-throughput methods improves the detection of structural complexity and clinically relevant alterations.

利用细胞基因组学方法谱分析复杂的核型在慢性淋巴细胞白血病。
背景:高度复杂的核型(高ck)是慢性淋巴细胞白血病(CLL)预后不良的关键生物标志物。虽然传统方法缺乏完全表征复杂结构变异(SVs)的分辨率,但短读WGS (sr-WGS)、纳米孔测序(ONT)、光学基因组图谱(OGM)和染色质构象捕获(Micro-C)等新兴技术为高分辨率SVs分析提供了强大的工具,阐明了CLL的基因组结构。方法:我们选择了9例具有不同基因组改变的CLL病例。通过染色体显带分析(CBA)、多色荧光原位杂交(mFISH)和染色体微阵列(CMA)进行常规诊断评估,并进一步使用sr-WGS、ONT、OGM和Micro-C进行分析。我们对所有方法的拷贝数变异(CNVs)和SVs进行了全面比较。结果:5种方法(CMA、ONT、OGM、sr-WGS、Micro-C)的一致性检出率为56.3%(179/318)。高置信度CNV集,定义为被≥3种方法识别的CNV集,占70.4%(224/318)。SV的检出率因基因组复杂性而异:共鉴定出2910个独特断裂(bnd),所有方法的检出率仅为10.9%(320/2910)。有≥3种方法支持的高置信度SV集包括20.4%(595/2910)的bnd。双中心染色体(DICs)和复杂衍生染色体(CDERs),特别是在着丝粒区或端粒区附近涉及bnd的染色体是最难分辨的。Micro-C完全确诊71.4%(5/7)的cder和全部10例dic。总体而言,Micro-C与经典细胞遗传学最一致,证实了85.5%(47/55)的畸变,其次是OGM (65.5%), ONT和sr-WGS(56.4%)。结论:每种技术都为白血病基因组提供了独特的见解。结合经典细胞遗传学与高通量方法提高检测结构复杂性和临床相关的改变。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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