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光学基因组图谱和523基因下一代测序 panel 在髓系癌症综合评估中的临床应用

Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers.

作者信息

Sahajpal Nikhil Shri, Mondal Ashis K, Singh Harmanpreet, Vashisht Ashutosh, Ananth Sudha, Saul Daniel, Hastie Alex R, Hilton Benjamin, DuPont Barbara R, Savage Natasha M, Kota Vamsi, Chaubey Alka, Cortes Jorge E, Kolhe Ravindra

机构信息

Greenwood Genetic Center, Greenwood, SC 29646, USA.

Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.

出版信息

Cancers (Basel). 2023 Jun 16;15(12):3214. doi: 10.3390/cancers15123214.

Abstract

The standard-of-care (SOC) for genomic testing of myeloid cancers primarily relies on karyotyping/fluorescent in situ hybridization (FISH) (cytogenetic analysis) and targeted gene panels (usually ≤54 genes) that harbor hotspot pathogenic variants (molecular genetic analysis). Despite this combinatorial approach, ~50% of myeloid cancer genomes remain cytogenetically normal, and the limited sequencing variant profiles obtained from targeted panels are unable to resolve the molecular etiology of many myeloid tumors. In this study, we evaluated the performance and clinical utility of combinatorial use of optical genome mapping (OGM) and a 523-gene next-generation sequencing (NGS) panel for comprehensive genomic profiling of 30 myeloid tumors and compared it to SOC cytogenetic methods (karyotyping and FISH) and a 54-gene NGS panel. OGM and the 523-gene NGS panel had an analytical concordance of 100% with karyotyping, FISH, and the 54-gene panel, respectively. Importantly, the IPSS-R cytogenetic risk group changed from very good/good to very poor in 22% of MDS (2/9) cases based on comprehensive profiling (karyotyping, FISH, and 54-gene panel vs. OGM and 523-gene panel), while additionally identifying six compound heterozygous events of potential clinical relevance in six cases (6/30, 20%). This cost-effective approach of using OGM and a 523-gene NGS panel for comprehensive genomic profiling of myeloid cancers demonstrated increased yield of actionable targets that can potentially result in improved clinical outcomes.

摘要

髓系癌症基因组检测的标准治疗方案(SOC)主要依赖于核型分析/荧光原位杂交(FISH)(细胞遗传学分析)以及包含热点致病变异的靶向基因panel(通常≤54个基因)(分子遗传学分析)。尽管采用了这种联合方法,仍有~50%的髓系癌症基因组在细胞遗传学上表现正常,并且从靶向panel获得的有限测序变异谱无法解析许多髓系肿瘤的分子病因。在本研究中,我们评估了光学基因组图谱(OGM)和一个523基因的下一代测序(NGS)panel联合用于30例髓系肿瘤综合基因组分析的性能和临床实用性,并将其与SOC细胞遗传学方法(核型分析和FISH)以及一个54基因的NGS panel进行比较。OGM和523基因的NGS panel分别与核型分析、FISH以及54基因panel的分析一致性为100%。重要的是,基于综合分析(核型分析、FISH和54基因panel与OGM和523基因panel),22%(2/9)的骨髓增生异常综合征(MDS)病例的国际预后评分系统(IPSS-R)细胞遗传学风险组从非常好/好变为非常差,同时还在6例病例(6/30,20%)中额外鉴定出6个具有潜在临床相关性的复合杂合事件。这种使用OGM和523基因的NGS panel对髓系癌症进行综合基因组分析的经济有效方法显示,可操作靶点的检出率增加,这可能会改善临床结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17db/10296552/eeb02175ed4c/cancers-15-03214-g001.jpg

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