Stratification according to HGG-IMMUNO RPA model predicts outcome in a large group of patients with relapsed malignant glioma treated by adjuvant postoperative dendritic cell vaccination

Cancer Immunology, Immunotherapy : CII
Steven De VleeschouwerStefaan Van Gool

Abstract

Adult patients with relapsed high-grade glioma are a very heterogenous group with, however, an invariably dismal prognosis. We stratified patients with relapsed high-grade glioma treated with re-operation and postoperative dendritic cell (DC) vaccination according to a simple recursive partitioning analysis (RPA) model to predict outcome. Based on age, pathology, Karnofsky performance score, and mental status, 117 adult patients with relapsed malignant glioma, undergoing re-operation, and postoperative adjuvant dendritic cell (DC) vaccination were stratified into 4 classes. Kaplan-Meier survival estimates were generated for each class of this HGG-IMMUNO RPA model. Extent of resection was documented but not included in the prognostic model. Kaplan-Meier overall survival estimates revealed significant (p < 0.0001) differences among the 4 HGG-IMMUNO RPA classes. Long-term survivors, surviving more than 24 months after the re-operation and vaccination, are seen in 54.5, 26.7, 11.5, and 0 % for the classes I, II, III, and IV respectively. This HGG-IMMUNO RPA classification is able to predict overall survival in a large group of adult patients with a relapsed malignant glioma, treated with re-operation and postoperative adjuvant DC v...Continue Reading

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Citations

Sep 6, 2014·Neuro-oncology·David A ReardonGlenn Dranoff
Jun 12, 2013·Expert Review of Vaccines·David A ReardonGlenn Dranoff
Nov 13, 2013·Expert Review of Neurotherapeutics·Masoud MirghorbaniNima Rezaei
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Feb 1, 2017·Seminars in Immunopathology·David A Reardon, Duane A Mitchell
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Oct 23, 2012·Expert Review of Neurotherapeutics·Stefaan Van Gool, Steven De Vleeschouwer
Aug 3, 2012·Immunotherapy·Lien Vandenberk, Stefaan W Van Gool
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