Literature DB >> 22565485

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.

Steven De Vleeschouwer1, Hilko Ardon, Frank Van Calenbergh, Raf Sciot, Guido Wilms, Johannes van Loon, Jan Goffin, Stefaan Van Gool.   

Abstract

PURPOSE: 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. PATIENTS AND METHODS: 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.
RESULTS: 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.
CONCLUSION: 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 vaccination in the HGG-IMMUNO-2003 cohort comparison trial. The model appears useful for prognostic patient counseling for patients participating in DC vaccination trials. A substantial number of long-term survivors after relapse are seen in class I to III, but not in class IV patients.

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Year:  2012        PMID: 22565485     DOI: 10.1007/s00262-012-1271-z

Source DB:  PubMed          Journal:  Cancer Immunol Immunother        ISSN: 0340-7004            Impact factor:   6.968


  13 in total

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Review 2.  The development of dendritic cell vaccine-based immunotherapies for glioblastoma.

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3.  Re-irradiation or re-operation followed by dendritic cell vaccination? Comparison of two different salvage strategies for relapsed high-grade gliomas by means of a new prognostic model.

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Journal:  J Neurooncol       Date:  2015-06-13       Impact factor: 4.130

Review 4.  An update on vaccine therapy and other immunotherapeutic approaches for glioblastoma.

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Review 5.  Immunotherapy advances for glioblastoma.

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Review 6.  Brain Tumor Immunotherapy: What have We Learned so Far?

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8.  Irradiation of necrotic cancer cells, employed for pulsing dendritic cells (DCs), potentiates DC vaccine-induced antitumor immunity against high-grade glioma.

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Journal:  Oncoimmunology       Date:  2015-09-11       Impact factor: 8.110

9.  Clinical efficacy of tumor antigen-pulsed DC treatment for high-grade glioma patients: evidence from a meta-analysis.

Authors:  Jun-Xia Cao; Xiao-Yan Zhang; Jin-Long Liu; Duo Li; Jun-Li Li; Yi-Shan Liu; Min Wang; Bei-Lei Xu; Hai-Bo Wang; Zheng-Xu Wang
Journal:  PLoS One       Date:  2014-09-12       Impact factor: 3.240

Review 10.  Exploiting the Immunogenic Potential of Cancer Cells for Improved Dendritic Cell Vaccines.

Authors:  Lien Vandenberk; Jochen Belmans; Matthias Van Woensel; Matteo Riva; Stefaan W Van Gool
Journal:  Front Immunol       Date:  2016-01-14       Impact factor: 7.561

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