Murphy Zachary R, Bianchini Emilia C, Smith Andrew, Körner Lisa I, Russell Teresa, Reinecke David, Maarouf Nader, Wang Yuxiu, Golfinos John G, Miller Alexandra M, Snuderl Matija, Orringer Daniel A, Evrony Gilad D
Center for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, NY, USA; Departments of Pediatrics and Neuroscience & Physiology, Institute for Systems Genetics, Laura and Isaac Perlmutter Cancer Center, and Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA.
Department of Neurosurgery, New York University Grossman School of Medicine, New York, NY, USA.
Med. 2025 Jun 13;6(6):100604. doi: 10.1016/j.medj.2025.100604. Epub 2025 Feb 25.
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.
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.
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 within a tumor core to <5 tumor cells/mm at tumor margins. UR-ddPCR measurements were virtually identical to standard ddPCR measurements performed on the same samples (R = 0.995).
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.
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.
肿瘤的诊断和治疗通常依赖于分子遗传学数据。然而,目前在手术过程中快速且反复获取分子数据并不可行,这使得术中诊断变得复杂,并且无法测量手术切缘的肿瘤细胞负荷以指导切除术。
在此,我们介绍超快速液滴数字PCR(UR-ddPCR),这是一种迄今为止能实现最快测量组织样本中突变负荷的技术,从组织到得出结果只需15分钟。我们的工作流程大幅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方法来量化手术切缘的残余肿瘤浸润情况。
我们展示了针对IDH1 R132H和BRAF V600E克隆突变的UR-ddPCR检测方法,这两种突变分别存在于许多低级别胶质瘤和黑色素瘤中,术中检测到它们将影响手术决策。我们通过对22例脑肿瘤病例进行术中UR-ddPCR操作,说明了其临床可行性,并且我们进一步在术中将UR-ddPCR肿瘤细胞百分比测量结果与UR激发拉曼组织学相结合,以估计肿瘤细胞密度,范围从肿瘤核心内大于1300个肿瘤细胞/立方毫米到肿瘤边缘小于5个肿瘤细胞/立方毫米。UR-ddPCR测量结果与对相同样本进行的标准ddPCR测量结果几乎完全相同(R = 0.995)。
此处开发的技术和工作流程能够以前所未有的速度和灵敏度进行术中分子遗传学检测。我们预计我们的方法将促进新型即时诊断和分子引导手术,从而改善临床结果。
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。试剂和仪器由伯乐公司实物提供。