Clinical Implementation of a High-Throughput Automated Comprehensive Genomic Profiling Test

IF 3.4 3区 医学 Q1 PATHOLOGY Journal of Molecular Diagnostics Pub Date : 2025-02-01 DOI:10.1016/j.jmoldx.2024.11.005
Markus Ball , Eva Romanovsky , Fabian Schnecko , Martina Kirchner , Olaf Neumann , Regine Brandt , Susanne Beck , Huriye Seker-Cin , Klaus Kluck , Iordanis Ourailidis , Hannah Goldschmid , Annette Fink , Anna-Lena Volckmar , Michael Menzel , Michael Allgäuer , Peter Schirmacher , Jan Budczies , Albrecht Stenzinger , Daniel Kazdal
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Abstract

The adoption of comprehensive genomic profiling in oncology has rapidly increased the demand for standardized tumor sample processing in diagnostic laboratories. Automation of DNA and RNA library preparation workflows offers the possibility to scale-up and standardize sample processing. We report on the clinical implementation of the automated TruSight Oncology 500 High-Throughput library preparation workflow from formalin-fixed, paraffin-embedded tumor samples using the Biomek i7 hybrid Workstation. Using the same input amount, the automated workflow was validated against manual library preparation. Quality control metrics (total and mapped reads, median insert size, and median exon coverage) and the detection of tumor mutational burden, a complex biomarker, were concordant between the manual and automated workflows. The automated workflow was implemented on a total of 2997 pan-cancer clinical samples to detect genomic variants and complex biomarkers. Workflow automation resulted in a 4-fold reduction in hands-on time and a 1.7-fold reduction in total runtime compared with manual library preparation (6 hours vs. 23 hours; 24 hours vs. 42.5 hours, respectively) for a 48 DNA + 48 RNA sample batch. The automated workflow required one technician versus three technicians to manually prepare the same number of libraries. This study shows that implementation of the automated TruSight Oncology 500 High-Throughput workflow significantly reduced hands-on time and processing time per sample compared with manual library preparation.
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高通量自动化综合基因组分析测试 - TruSight Oncology 500 HT 的临床实施。
肿瘤综合基因组图谱的采用迅速增加了诊断实验室对标准化肿瘤样本处理的需求。DNA和RNA库制备工作流程的自动化提供了扩大和标准化样品处理的可能性。我们报告了使用Biomek i7混合工作站对福尔马林固定石蜡包埋肿瘤样本进行自动化TruSight Oncology 500高通量文库制备工作流程的临床实施。使用相同的输入量,通过手动库准备来验证自动化工作流。质量控制指标(总和映射读数,中位插入大小,中位外显子覆盖率)和肿瘤突变负担(一种复杂的生物标志物)的检测在人工和自动化工作流程之间是一致的。在总共2,997个泛癌症临床样本上实施了自动化工作流程,以检测基因组变异和复杂的生物标志物。与手工库准备相比,工作流自动化使动手时间减少了4倍,总运行时间减少了1.7倍(6小时vs 23小时;48 DNA + 48 RNA样品批次分别为24小时和42.5小时。自动化工作流需要一个技术人员而不是三个技术人员手动准备相同数量的库。该研究表明,与手工库制备相比,自动化TruSight Oncology 500高通量工作流程的实施显著减少了每个样本的动手时间和处理时间。
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来源期刊
CiteScore
8.10
自引率
2.40%
发文量
143
审稿时长
43 days
期刊介绍: The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.
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Table of Contents Editorial Board The Validation of Digital PCR–Based Minimal Residual Disease Detection for the Common Mutations in IDH1 and IDH2 Genes in Patients with Acute Myeloid Leukemia BCR::ABL1 Deep Molecular Response Quantification and Transcript Type Identification in Chronic Myeloid Leukemia Using a US Food and Drug Administration–Approved Droplet-Based Digital PCR Assay Clinical Implementation of a High-Throughput Automated Comprehensive Genomic Profiling Test
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