从FFPE标本中全自动提取高质量总核酸,用于实体瘤的全面基因组分析。

IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2025-04-01 Epub Date: 2025-01-30 DOI:10.1016/j.slast.2025.100252
Kristopher Amirault , Michael Collins , Luca Beker , Brandon Mills , Martina Werner , Jonathan Andreas , Daniel Hartman , Jordan Dargert , Vanessa Process , Sean Cederlund , Thuy Dao , Linnea Menin , Molly Ferrara , Andrew Briggs , Joshua Shreve , Daniel Metzger , Angela Stout , Erin Deblasi , Jie An , Taylor Jensen , Eugenio Daviso
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引用次数: 0

摘要

综合基因组图谱(Comprehensive Genomic Profiling, CGP)已经成为理解临床肿瘤学和实体瘤治疗的一种进步的护理标准(Conroy, Pabla et al. 2021)。通过下一代实体肿瘤测序,CGP可以识别可操作的突变,从而实现靶向治疗决策。众所周知,福尔马林固定石蜡包埋组织很难可靠地提取高质量的核酸和足够的遗传物质来满足测序输入要求。在这项工作中,我们提出了一种用于实体肿瘤上游样本处理的自动化解决方案,通过消除瓶颈和增强结果,实现高通量和可扩展的CGP工作流程。来自FFPE组织的Sonication STAR自动化DNA和RNA方法是由Hamilton公司、Covaris和Labcorp合作开发的,它提供了数量不足(QNS)样品的潜在减少和测序性能的改进,从而使患者的完整肿瘤谱增加了16%。这种自动化方法可以节省工作流程成本,提高效率,减少肿瘤的重新提取和重新测序。
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Fully automated extraction of high-quality total nucleic acids from FFPE specimens for comprehensive genomic profiling of solid tumors
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.
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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