Vestibular schwannoma (VS) is an intracranial tumor that causes significant morbidity, including hearing loss, tinnitus, dizziness, and possibly even death from brainstem compression. However, FDA-approved pharmacologic treatments for VS do not exist. Sulforaphane (SFN) is a naturally occurring isothiocyanate found in cruciferous vegetables, such as broccoli, with potent chemoprotective effects in several cell types. Our objective was to determine whether SFN is effective against VS in vitro and in vivo. Human primary VS cells, HEI-193 schwannoma cells, and SC4 Nf2 Schwann cells were used to investigate the inhibitory effects of SFN in vitro. Cell proliferation was assessed by bromodeoxyuridine (BrdU) incorporation, and cell viability and metabolic activity was calculated by MTT assay. Apoptosis was measured by flow cytometry, terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining, and Western blot for cleaved caspases. A mouse model with a murine schwannoma allograft was also used to examine the antitumor activity of SFN. SFN exhibited significant antiproliferative activity in schwannoma cells in vitro, via the inhibition of HDAC activity and the activation of ERK. SFN treatment induced apoptosis and cell cycle arrest at the G2/M phase. SFN also significantly inhibited schwannoma growth in vivo. Our preclinical studies motivate a future prospective clinical study of SFN for the treatment of VS.
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http://dx.doi.org/10.1038/srep36215 | DOI Listing |
Neurosurg Rev
January 2025
Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA.
Postoperative facial nerve (FN) dysfunction is associated with a significant impact on the quality of life of patients and can result in psychological stress and disorders such as depression and social isolation. Preoperative prediction of FN outcomes can play a critical role in vestibular schwannomas (VSs) patient care. Several studies have developed machine learning (ML)-based models in predicting FN outcomes following resection of VS.
View Article and Find Full Text PDFActa Neurol Belg
January 2025
Department of Radiology, Health Sciences University Gulhane Faculty of Medicine, Ankara, Turkey.
Background: Trigeminal neuralgia is a disease characterized by severe facial pain that significantly reduces patients quality of life. Trigeminal neuralgia is subcategorized as idiopathic, classic or secondary. Magnetic resonance imaging is the basis for classification, but neurophysiological tests are also used.
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Departments of Neurosurgery, Los Angeles, California, USA; Radiation Oncology, Los Angeles, California, USA; Head and Neck Surgery, Los Angeles, California, USA; Jonsson Comprehensive Cancer Center, Los Angeles, California, USA; Los Angeles Biomedical Research Institute, Los Angeles, California, USA; Harbor-UCLA Medical Center, Los Angeles, California, USA.
Otolaryngol Head Neck Surg
January 2025
Division of Otology, Neurotology, and Cranial Base Surgery, Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Objective: To evaluate the predictive value of plasma matrix metalloproteinase-9 (MMP-9) level in determining the extent of tumor resection (EOR) and tumor adherence in vestibular schwannoma (VS) surgery.
Study Design: Prospective cohort study.
Setting: Academic referral center.
Sci Rep
January 2025
Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany.
To compare 1D (linear) tumor volume calculations and classification systems with 3D-segmented volumetric analysis (SVA), focusing specifically on their effectiveness in the evaluation and management of NF2-associated vestibular schwannomas (VS). VS were clinically followed every 6 months with cranial, thin-sliced (< 3 mm) MRI. We retrospectively reviewed and used T1-weighted post-contrast enhanced (gadolinium) images for both SVA and linear measurements.
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