Amirault Kristopher, Collins Michael, Beker Luca, Mills Brandon, Werner Martina, Andreas Jonathan, Hartman Daniel, Dargert Jordan, Process Vanessa, Cederlund Sean, Dao Thuy, Menin Linnea, Ferrara Molly, Briggs Andrew, Shreve Joshua, Metzger Daniel, Stout Angela, Deblasi Erin, An Jie, Jensen Taylor, Zhang Shengle, Rana Vinesh, Burlingame Bryn, Thomann Ulrich, Dash Durga Prasad, Liao Sha, Conroy Jeffrey M, Daviso Eugenio
Covaris a PerkinElmer Company, 14 Gill Street, Woburn, MA 01801, United States of America.
Labcorp, Buffalo, NY 14203, United States of America.
SLAS Technol. 2025 Apr;31:100252. doi: 10.1016/j.slast.2025.100252. Epub 2025 Jan 30.
Comprehensive Genomic Profiling (CGP) has emerged as a progressive standard of care for the understanding clinical oncology and treatment of solid tumors (Conroy, Pabla et al. 2021). By identifying actionable mutations through next-generation sequencing of solid tumors CGP enables targeted therapy decisions. Formalin-fixed paraffin-embedded tissues are notoriously difficult samples in respect to reliably extracting high-quality nucleic acids and sufficient genetic material to meet sequencing input requirements. In this work we present an automated solution for upstream sample processing of solid tumors to enable high throughput and scalable CGP workflows by eliminating bottlenecks and enhancing results. The Sonication STAR automated DNA and RNA methods from FFPE Tissues was created as a collaboration between Hamilton Company, Covaris, and Labcorp and it offers the potential reduction in quantity not sufficient (QNS) samples and sequencing performance improvements resulting in a 16 % increase in fully reported tumor profiles for patients. This automated approach offers potential saving in workflow costs, improved efficiency, and a reduction in re-extraction and re-sequencing of tumors.
综合基因组分析(CGP)已成为了解实体瘤临床肿瘤学和治疗的一种先进的护理标准(康罗伊、帕布拉等人,2021年)。通过对实体瘤进行下一代测序来识别可操作的突变,CGP能够做出靶向治疗决策。就可靠提取高质量核酸和足够的遗传物质以满足测序输入要求而言,福尔马林固定石蜡包埋组织是出了名的难处理样本。在这项工作中,我们提出了一种针对实体瘤上游样本处理的自动化解决方案,通过消除瓶颈和提高结果来实现高通量和可扩展的CGP工作流程。FFPE组织的超声STAR自动化DNA和RNA方法是由汉密尔顿公司、Covaris和Labcorp合作创建的,它有可能减少数量不足(QNS)样本,并提高测序性能,从而使患者的完全报告肿瘤图谱增加16%。这种自动化方法有可能节省工作流程成本、提高效率,并减少肿瘤的重新提取和重新测序。