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光学基因组图谱鉴定儿童期和高超二倍体急性淋巴细胞白血病中的新型复发性结构改变。

Optical Genome Mapping Identifies Novel Recurrent Structural Alterations in Childhood and High Hyperdiploid Acute Lymphoblastic Leukemia.

作者信息

Brandes Danielle, Yasin Layal, Nebral Karin, Ebler Jana, Schinnerl Dagmar, Picard Daniel, Bergmann Anke K, Alam Jubayer, Köhrer Stefan, Haas Oskar A, Attarbaschi Andishe, Marschall Tobias, Stanulla Martin, Borkhardt Arndt, Brozou Triantafyllia, Fischer Ute, Wagener Rabea

机构信息

Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany.

Dusseldorf School of Oncology (DSO), Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany.

出版信息

Hemasphere. 2023 Jul 17;7(8):e925. doi: 10.1097/HS9.0000000000000925. eCollection 2023 Aug.

DOI:10.1097/HS9.0000000000000925
PMID:37469802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10353714/
Abstract

The mutational landscape of B-cell precursor acute lymphoblastic leukemia (BCP-ALL), the most common pediatric cancer, is not fully described partially because commonly applied short-read next generation sequencing has a limited ability to identify structural variations. By combining comprehensive analysis of structural variants (SVs), single-nucleotide variants (SNVs), and small insertions-deletions, new subtype-defining and therapeutic targets may be detected. We analyzed the landscape of somatic alterations in 60 pediatric patients diagnosed with the most common BCP-ALL subtypes, + and classical hyperdiploid (HD), using conventional cytogenetics, single nucleotide polymorphism (SNP) array, whole exome sequencing (WES), and the novel optical genome mapping (OGM) technique. Ninety-five percent of SVs detected by cytogenetics and SNP-array were verified by OGM. OGM detected an additional 677 SVs not identified using the conventional methods, including (subclonal) deletions. Based on OGM, + BCP-ALL harbored 2.7 times more SVs than HD BCP-ALL, mainly focal deletions. Besides SVs in known leukemia development genes (, , ), we identified 19 novel recurrently altered regions (in n ≥ 3) including 9p21.3 (), 8p11.21 (), 1p34.3 (), 4q24 (), 8p23.1 (), and 10p14 (), as well as subtype-specific SVs (12p13.1 (), 12q24.21 (), 18q11.2 (), 20q11.22 ()). We detected 3 novel fusion genes ( and ), for which the sequence and expression were validated by long-read and whole transcriptome sequencing, respectively. OGM and WES identified double hits of SVs and SNVs (, , , , , ) in the same patient demonstrating the power of the combined approach to define the landscape of genomic alterations in BCP-ALL.

摘要

B细胞前体急性淋巴细胞白血病(BCP-ALL)是最常见的儿童癌症,其突变图谱尚未得到充分描述,部分原因是常用的短读长下一代测序识别结构变异的能力有限。通过综合分析结构变异(SVs)、单核苷酸变异(SNVs)和小插入缺失,可能会发现新的亚型定义和治疗靶点。我们使用传统细胞遗传学、单核苷酸多态性(SNP)阵列、全外显子组测序(WES)和新型光学基因组图谱(OGM)技术,分析了60例诊断为最常见BCP-ALL亚型(+和经典超二倍体(HD))的儿科患者的体细胞改变图谱。细胞遗传学和SNP阵列检测到的95%的SVs被OGM验证。OGM检测到另外677个使用传统方法未识别的SVs,包括(亚克隆)缺失。基于OGM,+BCP-ALL的SVs比HD BCP-ALL多2.7倍,主要是局灶性缺失。除了已知白血病发展基因(,,)中的SVs,我们还确定了19个新的反复改变区域(n≥3),包括9p21.3()、8p11.21()、1p34.3()、4q24()、8p23.1()和10p14(),以及亚型特异性SVs(12p13.1()、12q24.21()、18q11.2()、20q11.22())。我们检测到3个新的融合基因(和),其序列和表达分别通过长读长和全转录组测序进行了验证。OGM和WES在同一患者中鉴定出SVs和SNVs(,,,,,)的双重打击,证明了联合方法在定义BCP-ALL基因组改变图谱方面的强大作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/c786de5f2507/hs9-7-e925-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/bc8abf8f243c/hs9-7-e925-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/b8fdeb42edcf/hs9-7-e925-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/663d62ed9a0a/hs9-7-e925-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/f5ccf9f558cd/hs9-7-e925-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/bc51b74f3de6/hs9-7-e925-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/d79a4c7d0fd0/hs9-7-e925-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/c786de5f2507/hs9-7-e925-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/bc8abf8f243c/hs9-7-e925-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/b8fdeb42edcf/hs9-7-e925-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/62fb9854a74f/hs9-7-e925-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/b2c96ad2c68b/hs9-7-e925-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/663d62ed9a0a/hs9-7-e925-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/f5ccf9f558cd/hs9-7-e925-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/bc51b74f3de6/hs9-7-e925-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/d79a4c7d0fd0/hs9-7-e925-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e114/10353714/c786de5f2507/hs9-7-e925-g009.jpg

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