PO.CL12.03 · 临床研究

全基因组测序在AML和MDS患者前期风险分层中的临床应用价值

Clinical utility of whole genome sequencing for upfront risk stratification in AML and MDS patients

海报缩略图:全基因组测序在AML和MDS患者前期风险分层中的临床应用价值
编号 5300 展板 20 时间 4/21 09:00–12:00 区域 Section 44 主讲 Kerry Fitzgerald, PhD
分会场 Epigenetics, Cytogenetics, and Clinical Molecular Genetics
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作者与单位 Authors & Affiliations

Kerry D. Fitzgerald1, Dennis D. Krutkin1, Jenny Brouckaert2, Traci Pawlowski2, Pratheesh Sathyan2, James Han2, Tong Liu1, Yuanyu Cao1, Xiaojun Guan1, Jake Humphrey3, Grant Hogg1, John Howitt3, Amanda Williamson3, Shakti Ramkissoon3, Marcia Eisenberg3, Brian Caveney3, Eric A. Severson3, Eyad Almasri1, Jonathan Williams1, Taylor J. Jensen3

1Labcorp, Inc., San Diego, CA,2Illumina, Inc., San Diego, CA,3Labcorp, Inc., Durham, NC

摘要 Abstract

中文摘要
急性髓系白血病(AML)和骨髓增生异常综合征(MDS)是需要快速准确的风险分层以指导治疗决策的血液系统恶性肿瘤。在本研究中,我们回顾性评估了使用先前在Labcorp通过FISH、染色体显带、微阵列、单基因分子技术和/或NGS检测过的临床样本进行全基因组测序(WGS)的准确性和应用价值。样本根据结构变异(SVs)、拷贝数变异(CNVs)或临床显著突变(如FLT3-ITD)的存在进行选择,并纳入对照和健康供者。共纳入90例样本,其中74例疑似患有AML/MDS。为确定WGS性能,利用了所有可用的临床检测结果;样本还在Labcorp的141基因泛血液NGS检测平台上进行了检测,该平台报告VAF >3%的体细胞小变异以及16个CNVs。计算了与泛血液NGS panel重叠的单核苷酸变异(SNVs)、插入缺失(indels)和CNVs,以及来自其他临床检测结果的SVs和CNVs的敏感性和特异性。使用Illumina的PCR-free Tagmentation试剂盒制备的文库在NovaSeq X Plus上测序,并使用Illumina Connected Analytics中的Illumina DRAGEN Heme WGS流程进行分析;变异使用Illumina Connected Insights进行评分和解读。估计周转时间(TAT):在主任审核和签发前,每批15个样本为67小时。该队列的平均基因组覆盖度为160X。排除FISH探针阳性率<10%的事件后,WGS检测到细胞遗传学/FISH分析所识别的116/121个SVs和122/127个CNVs(敏感性分别为0.96和0.98)。对照的靶向NGS检测平均读取深度为400X。WGS检测到426/427(.998)个VAF >10%的变异和441/447(.989)个VAF >5%的变异。WGS在对照检测未覆盖的区域中还识别出额外的临床相关发现。计算VAF >10%可报告SNVs的性能时,我们观察到阳性预测值(PPV)为100%,无已知假阳性(FPs)。SV和CNV假阴性(FNs)由低于WGS预期检测限(LOD)的变异所致。SNV的FPs和FNs源于两种方法在性能阈值附近的轻微波动。使用铂金基因组细胞系NA12878和健康供者,在评估泛血液感兴趣区域(ROI)内SNVs/indels的11个重复和9名个体中,特异性为100%,未检出FPs。采用WGS方法,我们观察到与既往类似报道研究相比敏感性提高,这可能源于技术改进和测序深度增加。与当前实验室检测相比,WGS具有相当的准确性、敏感性和特异性,并在临床应用价值、成本降低、工作流程改善、TAT及稳健性方面具有额外优势。
查看英文原文 English abstract
Acute Myeloid Leukemia (AML) and Myelodysplastic Syndromes (MDS) are hematologic malignancies that require a quick and accurate risk stratification for guiding treatment decisions. In this study, we retrospectively assessed the accuracy and utility of Whole Genome Sequencing (WGS) using clinical samples previously tested at Labcorp with FISH, Chromosomal banding, microarray, single gene molecular technologies, and/or NGS. Samples were selected based on presence of structural variants (SVs), Copy Number Variants (CNVs), or clinically significant mutations e.g. FLT3-ITD, and included controls and healthy donors. 90 total samples were included with 74 suspected of having AML/MDS. To determine WGS performance, all available clinical testing results were leveraged; samples were also assayed on Labcorp's 141 gene pan-heme NGS assay that reports somatic small variants when VAF >3%, as well as 16 CNVs. Sensitivity and specificity were calculated for single nucleotide variants (SNVs), indels, and CNVs overlapping the pan-heme NGS panel, as well as SVs and CNVs from other clinical testing results. Libraries prepared using Illumina's PCR-free Tagmentation kit were sequenced on a NovaSeq X Plus and analyzed using Illumina's DRAGEN Heme WGS pipeline in Illumina Connected Analytics; variants were scored and interpreted using Illumina Connected Insights. Estimated TAT: 67 hours per batch of 15 samples before director review and sign out. Mean genomic coverage for the cohort was 160X. Excluding events with FISH probe positivity <10%, WGS detected 116/121 SVs and 122/127 CNVs identified by cytogenetic/FISH analysis (sensitivity 0.96 and 0.98, respectively). The comparator targeted NGS assay averages 400X read depth. WGS detected 426/427 (.998) variants >10% VAF and 441/447 (.989) variants >5% VAF. Additional clinically relevant findings were identified with WGS in regions not covered by the comparator assays. Calculating performance for reportable SNVs >10% we observed a positive predictive value (PPV) of 100% with no known false positives (FPs). SV and CNV false negatives (FNs) were driven by variants below the Limit of Detection (LOD) expected for WGS. SNV FPs and FNs were from minor fluctuation between the two methods near the performance threshold. Using the Platinum Genome Cell line NA12878 and healthy donors, specificity was 100% with no FPs detected across 11 replicates and 9 individuals evaluating SNVs/indels within the pan-Heme ROI. Utilizing a WGS approach we observed increased sensitivity compared to similar previously reported studies, likely resulting from improved technology and increased sequencing depth. Compared to current laboratory assays WGS has comparable accuracy, sensitivity, and specificity, with additional benefits in clinical utility, cost reduction, improved workflow, TAT, and robustness.
利益披露 Disclosure
K. D. Fitzgerald, Labcorp Employment, Stock. D. D. Krutkin, Labcorp Employment. J. Brouckaert, Illumina Employment. T. Pawlowski, Illumina Employment. P. Sathyan, Illumina Employment. J. Han, Illumina Employment, Stock. T. Liu, Labcorp Employment, Stock. Y. Cao, Labcorp Employment, Stock. X. Guan, Labcorp Employment, Stock. J. Humphrey, Labcorp Employment, Stock. PACB Stock. BNGO Stock. UNH Stock. GPCR Stock. CRSP Stock. NONOF Stock. G. Hogg, Labcorp Employment. J. Howitt, Labcorp Employment, Stock. A. Williamson, Labcorp Employment, Stock. S. Ramkissoon, Labcorp Employment, Stock. M. Eisenberg, Labcorp Employment, Stock. B. Caveney, Labcorp Employment, g., Board of Directors, non-salaried role), Stock, Stock Option. E. A. Severson, Labcorp Employment, Stock. E. Almasri, Labcorp Employment, Stock. J. Williams, Labcorp Employment, Stock. T. J. Jensen, Labcorp Employment, Stock.

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