INNV-10. ULTRA-RAPID INTRAOPERATIVE GLIOMA TUMOR CELL QUANTIFICATION
Abstract The diagnosis and treatment of brain tumors often depends on molecular-genetic data. To date, however, there has been no intraoperative method to rapidly and iteratively utilize tumor-specific genetic alterations to guide brain tumor surgical resections, complicating intraoperative diagnosis and precluding measurement of tumor cell burdens at surgical margins. To address this gap, we developed Ultra-Rapid droplet digital PCR (UR-ddPCR), which can be completed in 15 minutes from tissue to result with an accuracy and sensitivity comparable to standard ddPCR. We demonstrate an UR-ddPCR assay for the IDH1 R132H clonal mutation that is present in many low-grade gliomas. We illustrate the clinical feasibility of UR-ddPCR by performing it intraoperatively for 49 samples from 13 glioma cases, achieving intraoperative quantification in an average of 14 minutes and 54 seconds spanning a wide dynamic range from 0.1% to 94% tumor cell percentages. We further combine UR-ddPCR measurements with UR-stimulated Raman histology intraoperatively to estimate tumor cell densities in addition to tumor cell percentages, across a wide range from < 1 to 1332 cells/mm2. We anticipate that UR-ddPCR, along with future refinements in assay instrumentation, will enable novel point-of-care diagnostics and the development of molecularly-guided brain tumor surgeries that improve clinical outcomes.
Authors
- Gilad D. Evrony (ORCID: https://orcid.org/0000-0001-7621-2630)
- Yuxiu Wang
- Emilia Bianchini
- Daniel A. Orringer (ORCID: https://orcid.org/0000-0001-6427-8376)
- Matija Snuderl (ORCID: https://orcid.org/0000-0003-0752-0917)
- Andrew Smith (ORCID: https://orcid.org/0000-0002-3990-2138)
- Lisa Koerner (ORCID: https://orcid.org/0000-0002-9227-461X)
- David Reinecke
- Teresa Russell
- Zacharmy Murphy
Institutions
- New York University (US)
Publication Details
- Journal
- Neuro-Oncology
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1093/neuonc/noae165.0673
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00