20 research outputs found
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NIMG-61. PATTERNS OF GLIOBLASTOMA RECURRENCE IN LOW FIELD INTENSITY REGIONS DURING TTFIELDS TREATMENT
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NIMG-61. PATTERNS OF GLIOBLASTOMA RECURRENCE IN LOW FIELD INTENSITY REGIONS DURING TTFIELDS TREATMENT
QOL-16HEALTH-RELATED QUALITY OF LIFE (HRQoL) IN A PHASE II TRIAL OF HYPOFRACTIONATED INTENSITY-MODULATED RADIATION THERAPY (HYPO-IMRT) WITH TEMOZOLOMIDE (TMZ) AND BEVACIZUMAB (BEV) FOR PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA MULTIFORME (GBM)
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NIMG-23. DEVELOPMENT OF PRACTICE ALGORITHMS TO GUIDE TREATMENT PLANNING WITH TTFIELDS FOR THE MANAGEMENT OF GLIOBLASTOMA
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A state-of-the-art review and guidelines for tumor treating fields treatment planning and patient follow-up in glioblastoma.
Tumor treating fields (TTFields) are an integral treatment modality in the management of glioblastoma and extend overall survival when combined with maintenance temozolomide in newly diagnosed patients. Complexities exist regarding correct selection of imaging sequences with which to perform TTFields treatment planning. Guidelines are warranted first, to facilitate treatment planning standardization across medical disciplines and institutions, to ensure optimal TTFields delivery to the tumor and peritumoral brain zone while maximizing patient safety, and also to mitigate the risk of premature cessation of a potentially beneficial treatment. This summary guideline outlines methods for starting patients on TTFields, for monitoring patient response to therapy and provides a framework for evaluating when therapy should be re-planned, based on the extent of sequential imaging changes
A state-of-the-art review and guidelines for tumor treating fields treatment planning and patient follow-up in glioblastoma.
Tumor treating fields (TTFields) are an integral treatment modality in the management of glioblastoma and extend overall survival when combined with maintenance temozolomide in newly diagnosed patients. Complexities exist regarding correct selection of imaging sequences with which to perform TTFields treatment planning. Guidelines are warranted first, to facilitate treatment planning standardization across medical disciplines and institutions, to ensure optimal TTFields delivery to the tumor and peritumoral brain zone while maximizing patient safety, and also to mitigate the risk of premature cessation of a potentially beneficial treatment. This summary guideline outlines methods for starting patients on TTFields, for monitoring patient response to therapy and provides a framework for evaluating when therapy should be re-planned, based on the extent of sequential imaging changes
Development of practice algorithms to guide treatment planning with TTFields for the management of glioblastoma (GB).
EGFR Exon 19 Deletion Mutations and Systemic/Central Nervous System Miliary Metastasis: Clinical Correlations and Response to Therapy
High-Throughput Mechanistic Screening of Epigenetic Compounds for the Potential Treatment of Meningiomas
Background: Meningiomas are the most common primary central nervous system tumors. 20–30% of these tumors are considered high-grade and associated with poor prognosis and high recurrence rates. Despite the high occurrence of meningiomas, there are no FDA-approved compounds for the treatment of these tumors. Methods: In this study, we screened patient-cultured meningiomas with an epigenetic compound library to identify targetable mechanisms for the potential treatment of these tumors. Meningioma cell cultures were generated directly from surgically resected patient tumors and were cultured on a neural matrix. Cells were treated with a library of compounds meant to target epigenetic functions. Results: Although each tumor displayed a unique compound sensitivity profile, Panobinostat, LAQ824, and HC toxin were broadly effective across most tumors. These three compounds are broad-spectrum Histone Deacetylase (HDAC) inhibitors which target class I, IIa, and IIb HDACs. Panobinostat was identified as the most broadly effective compound, capable of significantly decreasing the average cell viability of the sample cohort, regardless of tumor grade, recurrence, radiation, and patient gender. Conclusions: These findings strongly suggest an important role of HDACs in meningioma biology and as a targetable mechanism. Additional validation studies are necessary to confirm these promising findings, as well to identify an ideal HDAC inhibitor candidate to develop for clinical use