Ball Markus, Romanovsky Eva, Schnecko Fabian, Kirchner Martina, Neumann Olaf, Brandt Regine, Beck Susanne, Seker-Cin Huriye, Kluck Klaus, Ourailidis Iordanis, Goldschmid Hannah, Fink Annette, Volckmar Anna-Lena, Menzel Michael, Allgäuer Michael, Schirmacher Peter, Budczies Jan, Stenzinger Albrecht, Kazdal Daniel
Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
J Mol Diagn. 2025 Feb;27(2):154-162. doi: 10.1016/j.jmoldx.2024.11.005. Epub 2024 Dec 12.
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.
肿瘤学中全面基因组分析方法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文库制备工作流程的自动化为扩大样本处理规模和实现标准化提供了可能。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应用情况。在相同输入量的情况下,将自动化工作流程与手动文库制备进行了验证。质量控制指标(总读数和比对读数、中位插入片段大小和中位外显子覆盖率)以及复杂生物标志物肿瘤突变负荷的检测在手动和自动化工作流程之间是一致的。自动化工作流程应用于总共2997个泛癌临床样本,以检测基因组变异和复杂生物标志物。与手动文库制备相比,工作流程自动化使操作时间减少了4倍,总运行时间减少了1.7倍(对于一个48个DNA + 48个RNA样本的批次,分别为6小时对23小时;24小时对42.5小时)。自动化工作流程制备相同数量的文库只需一名技术人员,而手动制备则需要三名技术人员。这项研究表明,与手动文库制备相比,自动化TruSight Oncology 500高通量工作流程的应用显著减少了每个样本的操作时间和处理时间。