Validation and utilization of NGS-based HEMEaccuTest panel and analysis software for hematological malignancies.

Hyun-jeung Choi, Inseon Lee, M. Lee, K. Jung, Keunsook K Lee, YoungJoon Moon, Kwang Joong Kim
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Abstract

29 Background: Hematological malignancies are forms of cancer that originates in blood-forming tissue, such as bone marrow, or in the cells of the immune system. Detection of genetic alteration in hematological malignancies are increasingly important because of diverse variants associated with classification and diagnosis of subtypes, and prognostic and therapeutic-response prediction. Next-generation sequencing (NGS) is a powerful technology to simultaneously analyze multiple genes to identify clinically well-described variants, as well as rare variants related to hematological malignancies for clinical diagnostics. Methods: We developed the targeted NGS panel (HEMEaccuTest) and automatic analysis software (NGeneAnalySys) for estimating pathogenicity of genetic variants related to hematological malignancies. HEMEaccuTest covers entire coding region of 108 genes that have putatively known for associations with the diseases according to the WHO, NCCN and ELN guidelines. The diagnostic utility of HEMEaccuTest and NGeneAnalySys were validated using reference materials and clinical specimens. Results: The results showed that pathogenic variants were effectively detected with an average coverage depth of 600X and a minimum coverage depth of 100X. It demonstrated an excellent limit of detection, with 100% sensitivity for SNVs at 2% VAF and for indel at 4% VAF. In addition, the analytical sensitivity, specificity and precision of the panel were higher compared to conventional methods such as Sanger sequencing, FISH, and real-time PCR. Noticeably, the approximately 300-bp-size insertions of FLT3-ITD was efficiently detected by a simulating algorithm. Conclusions: This analytical validation study demonstrated that HEMEaccuTest and NGeneAnalySys can be an excellent and useful tool for disease definition and therapeutic strategy in hematological malignancies. NGeneAnalySys provides the evidence-based categorization and clinical interpretation supported by Tier classification (Therapeutic, Prognostic, Diagnostic) of professional guidelines (ACMG/AMP, AMP/ASCO/CAP. etc).
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基于ngs的HEMEaccuTest面板和血液恶性肿瘤分析软件的验证和应用。
29背景:血液系统恶性肿瘤是癌症的一种形式,起源于血液形成组织,如骨髓或免疫系统细胞。由于与亚型的分类和诊断以及预后和治疗反应预测相关的多种变异,检测血液系统恶性肿瘤的基因改变变得越来越重要。下一代测序(NGS)是一种强大的技术,可以同时分析多个基因,以识别临床上描述良好的变异,以及用于临床诊断的与血液系统恶性肿瘤相关的罕见变异。方法:我们开发了靶向NGS面板(HEMEaccuTest)和自动分析软件(NGeneAnalySys),用于评估与血液系统恶性肿瘤相关的遗传变异的致病性。根据世界卫生组织、NCCN和ELN指南,HEMEaccuTest覆盖了108个基因的整个编码区,这些基因被认为和疾病有关。使用参考材料和临床标本验证了HEMEaccuTest和NGeneAnalySys的诊断实用性。结果:平均覆盖深度为600倍,最小覆盖深度为100倍,可有效检测致病性变异株。它证明了一个极好的检测极限,在2%的VAF下对SNVs和4%的VAF对indel的灵敏度分别为100%。此外,与桑格测序、FISH和实时PCR等传统方法相比,该小组的分析灵敏度、特异性和精密度更高。值得注意的是,通过模拟算法有效地检测到了大约300bp大小的FLT3-ITD插入。结论:这项分析验证研究表明,HEMEaccuTest和NGeneAnalySys可以作为血液系统恶性肿瘤疾病定义和治疗策略的一种优秀而有用的工具。NGeneAnalySys提供基于证据的分类和临床解释,并得到专业指南(ACMG/AMP、AMP/ASCO/CAP等)的Tier分类(治疗、预后、诊断)的支持。
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期刊介绍: The Journal of Global Oncology (JGO) is an online only, open access journal focused on cancer care, research and care delivery issues unique to countries and settings with limited healthcare resources. JGO aims to provide a home for high-quality literature that fulfills a growing need for content describing the array of challenges health care professionals in resource-constrained settings face. Article types include original reports, review articles, commentaries, correspondence/replies, special articles and editorials.
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