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Feasibility and safety of focused ultrasound-enabled liquid biopsy in the brain of a porcine model

Christopher Pham Pacia, Lifei Zhu, Yaoheng Yang, Yimei Yue, Arash Nazeri, H. Michael Gach, Michael Talcott, Eric C. Leuthardt, Hong Chen

2020Scientific Reports68 citationsDOIOpen Access PDF

Abstract

Abstract Although blood-based liquid biopsy is a promising noninvasive technique to acquire a comprehensive molecular tumor profile by detecting cancer-specific biomarkers (e.g. DNA, RNA, and proteins), there has been limited progress for brain tumor application partially because the low permeability of the blood-brain barrier (BBB) hinders the release of tumor biomarkers. We previously demonstrated focused ultrasound-enabled liquid biopsy (FUS-LBx) that uses FUS to increase BBB permeability in murine glioblastoma models and thus enhance the release of tumor-specific biomarkers into the bloodstream. The objective of this study was to evaluate the feasibility and safety of FUS-LBx in the normal brain tissue of a porcine model. Increased BBB permeability was confirmed by the significant increase (p = 0.0053) in K trans (the transfer coefficient from blood to brain extravascular extracellular space) when comparing the FUS-sonicated brain area with the contralateral non-sonicated area. Meanwhile, there was a significant increase in the blood concentrations of glial fibrillary acidic protein (GFAP, p = 0.0074) and myelin basic protein (MBP, p = 0.0039) after FUS sonication as compared with before FUS. There was no detectable tissue damage by T 2 * -weighted MRI and histological analysis. Findings from this study suggest that FUS-LBx is a promising technique for noninvasive and localized diagnosis of the molecular profiles of brain diseases with the potential to translate to the clinic.

Topics & Concepts

Glial fibrillary acidic proteinSonicationPathologyBrain tumorBlood–brain barrierMedicineLiquid biopsyBiopsyBrain biopsyUltrasoundCancerCentral nervous systemImmunohistochemistryRadiologyInternal medicineUltrasound and Hyperthermia ApplicationsMRI in cancer diagnosisRadiomics and Machine Learning in Medical Imaging
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