COMP-13. EARLY TUMOR VOLUME EVOLUTION ADAPTIVELY PREDICTS PATIENT-SPECIFIC RESPONSE AND PROGRESSION RISK TO RADIOTHERAPY, PEMBROLIZUMAB, AND BEVACIZUMAB IN RECURRENT HIGH-GRADE GLIOMA IN A PHASE I TRIAL

PURPOSE/OBJECTIVES: We set out to predict response and progression risk in recurrent high-grade glioma patients treated with hypofractionated stereotactic radiation plus pembrolizumab and bevacizumab (NCT02313272). At present RANO criteria define progression as 25% increase in sum of the products of...

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Dettagli Bibliografici
Pubblicato in:Neuro Oncol
Autori principali: Glazar, Daniel, Brady, Rene, Howard, Rachel, Grass, Daniel, Arrington, John, Yu, Michael, Raghunand, Natarajan, Sahebjam, Solmaz, Enderling, Heiko
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2019
Soggetti:
Computational Omics
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6847129/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.256
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