Ultra-rapid droplet digital PCR enables intraoperative tumor quantification.

IF 12.8 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Med Pub Date : 2025-02-25 DOI:10.1016/j.medj.2025.100604
Zachary R Murphy, Emilia C Bianchini, Andrew Smith, Lisa I Körner, Teresa Russell, David Reinecke, Nader Maarouf, Yuxiu Wang, John G Golfinos, Alexandra M Miller, Matija Snuderl, Daniel A Orringer, Gilad D Evrony
{"title":"Ultra-rapid droplet digital PCR enables intraoperative tumor quantification.","authors":"Zachary R Murphy, Emilia C Bianchini, Andrew Smith, Lisa I Körner, Teresa Russell, David Reinecke, Nader Maarouf, Yuxiu Wang, John G Golfinos, Alexandra M Miller, Matija Snuderl, Daniel A Orringer, Gilad D Evrony","doi":"10.1016/j.medj.2025.100604","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The diagnosis and treatment of tumors often depend on molecular-genetic data. However, rapid and iterative access to molecular data is not currently feasible during surgery, complicating intraoperative diagnosis and precluding measurement of tumor cell burdens at surgical margins to guide resections.</p><p><strong>Methods: </strong>Here, we introduce Ultra-Rapid droplet digital PCR (UR-ddPCR), a technology that achieves the fastest measurement, to date, of mutation burdens in tissue samples, from tissue to result in 15 min. Our workflow substantially reduces the time from tissue biopsy to molecular diagnosis and provides a highly accurate means of quantifying residual tumor infiltration at surgical margins.</p><p><strong>Findings: </strong>We demonstrate UR-ddPCR assays for the IDH1 R132H and BRAF V600E clonal mutations that are present in many low-grade gliomas and melanomas, respectively, and whose intraoperative detection would shape surgical decision-making. We illustrate the clinical feasibility of UR-ddPCR by performing it intraoperatively for 22 brain tumor cases, and we further combine UR-ddPCR tumor cell percentage measurements with UR-stimulated Raman histology intraoperatively to estimate tumor cell densities ranging from >1,300 tumor cells/mm<sup>2</sup> within a tumor core to <5 tumor cells/mm<sup>2</sup> at tumor margins. UR-ddPCR measurements were virtually identical to standard ddPCR measurements performed on the same samples (R<sup>2</sup> = 0.995).</p><p><strong>Conclusions: </strong>The technology and workflow developed here enable intraoperative molecular-genetic assays with unprecedented speed and sensitivity. We anticipate that our method will facilitate novel point-of-care diagnostics and molecularly guided surgeries that improve clinical outcomes.</p><p><strong>Funding: </strong>This study was funded by the National Institutes of Health and NYU Grossman School of Medicine institutional funds. Reagents and instruments were provided in kind by Bio-Rad.</p>","PeriodicalId":29964,"journal":{"name":"Med","volume":" ","pages":"100604"},"PeriodicalIF":12.8000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Med","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.medj.2025.100604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The diagnosis and treatment of tumors often depend on molecular-genetic data. However, rapid and iterative access to molecular data is not currently feasible during surgery, complicating intraoperative diagnosis and precluding measurement of tumor cell burdens at surgical margins to guide resections.

Methods: Here, we introduce Ultra-Rapid droplet digital PCR (UR-ddPCR), a technology that achieves the fastest measurement, to date, of mutation burdens in tissue samples, from tissue to result in 15 min. Our workflow substantially reduces the time from tissue biopsy to molecular diagnosis and provides a highly accurate means of quantifying residual tumor infiltration at surgical margins.

Findings: We demonstrate UR-ddPCR assays for the IDH1 R132H and BRAF V600E clonal mutations that are present in many low-grade gliomas and melanomas, respectively, and whose intraoperative detection would shape surgical decision-making. We illustrate the clinical feasibility of UR-ddPCR by performing it intraoperatively for 22 brain tumor cases, and we further combine UR-ddPCR tumor cell percentage measurements with UR-stimulated Raman histology intraoperatively to estimate tumor cell densities ranging from >1,300 tumor cells/mm2 within a tumor core to <5 tumor cells/mm2 at tumor margins. UR-ddPCR measurements were virtually identical to standard ddPCR measurements performed on the same samples (R2 = 0.995).

Conclusions: The technology and workflow developed here enable intraoperative molecular-genetic assays with unprecedented speed and sensitivity. We anticipate that our method will facilitate novel point-of-care diagnostics and molecularly guided surgeries that improve clinical outcomes.

Funding: This study was funded by the National Institutes of Health and NYU Grossman School of Medicine institutional funds. Reagents and instruments were provided in kind by Bio-Rad.

超快速液滴数字PCR实现术中肿瘤定量。
背景:肿瘤的诊断和治疗往往依赖于分子遗传学数据。然而,在手术过程中,快速和迭代地获取分子数据目前尚不可行,这使术中诊断复杂化,并妨碍了对手术边缘肿瘤细胞负荷的测量来指导切除。方法:在这里,我们引入了超快速液滴数字PCR (UR-ddPCR),这是一种迄今为止最快的测量组织样本中突变负荷的技术,从组织到结果只需15分钟。我们的工作流程大大缩短了从组织活检到分子诊断的时间,并提供了一种高度准确的量化手术边缘残余肿瘤浸润的方法。研究结果:我们展示了分别存在于许多低级别胶质瘤和黑素瘤中的IDH1 R132H和BRAF V600E克隆突变的UR-ddPCR分析,其术中检测将影响手术决策。我们通过术中对22例脑肿瘤病例进行UR-ddPCR来说明其临床可行性,并进一步将UR-ddPCR肿瘤细胞百分比测量与术中ur刺激的拉曼组织学相结合,以估计肿瘤细胞密度,范围从肿瘤核心的1,300个肿瘤细胞/mm2到肿瘤边缘的2个。UR-ddPCR测量结果与在相同样品上进行的标准ddPCR测量结果几乎相同(R2 = 0.995)。结论:这里开发的技术和工作流程使术中分子遗传学检测具有前所未有的速度和灵敏度。我们预计,我们的方法将促进新的点护理诊断和分子指导手术,改善临床结果。资助:本研究由美国国立卫生研究院和纽约大学格罗斯曼医学院机构基金资助。试剂和仪器由Bio-Rad实物提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Med
Med MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
17.70
自引率
0.60%
发文量
102
期刊介绍: Med is a flagship medical journal published monthly by Cell Press, the global publisher of trusted and authoritative science journals including Cell, Cancer Cell, and Cell Reports Medicine. Our mission is to advance clinical research and practice by providing a communication forum for the publication of clinical trial results, innovative observations from longitudinal cohorts, and pioneering discoveries about disease mechanisms. The journal also encourages thought-leadership discussions among biomedical researchers, physicians, and other health scientists and stakeholders. Our goal is to improve health worldwide sustainably and ethically. Med publishes rigorously vetted original research and cutting-edge review and perspective articles on critical health issues globally and regionally. Our research section covers clinical case reports, first-in-human studies, large-scale clinical trials, population-based studies, as well as translational research work with the potential to change the course of medical research and improve clinical practice.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信