Document Detail


Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics.
MedLine Citation:
PMID:  17823798     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Glioblastoma (GBM), a highly aggressive (WHO grade IV) primary brain tumor, is refractory to traditional treatments, such as surgery, radiation or chemotherapy. This study aims at aiding in the design of more efficacious GBM therapies. We constructed a mathematical model for glioma and the immune system interactions, that may ensue upon direct intra-tumoral administration of ex vivo activated alloreactive cytotoxic-T-lymphocytes (aCTL). Our model encompasses considerations of the interactive dynamics of aCTL, tumor cells, major histocompatibility complex (MHC) class I and MHC class II molecules, as well as cytokines, such as TGF-beta and IFN-gamma, which dampen or increase the pro-inflammatory environment, respectively. Computer simulations were used for model verification and for retrieving putative treatment scenarios. The mathematical model successfully retrieved clinical trial results of efficacious aCTL immunotherapy for recurrent anaplastic oligodendroglioma and anaplastic astrocytoma (WHO grade III). It predicted that cellular adoptive immunotherapy failed in GBM because the administered dose was 20-fold lower than required for therapeutic efficacy. Model analysis suggests that GBM may be eradicated by new dose-intensive strategies, e.g., 3 x 10(8) aCTL every 4 days for small tumor burden, or 2 x 10(9) aCTL, infused every 5 days for larger tumor burden. Further analysis pinpoints crucial bio-markers relating to tumor growth rate, tumor size, and tumor sensitivity to the immune system, whose estimation enables regimen personalization. We propose that adoptive cellular immunotherapy was prematurely abandoned. It may prove efficacious for GBM, if dose intensity is augmented, as prescribed by the mathematical model. Re-initiation of clinical trials, using calculated individualized regimens for grade III-IV malignant glioma, is suggested.
Authors:
Natalie Kronik; Yuri Kogan; Vladimir Vainstein; Zvia Agur
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-09-07
Journal Detail:
Title:  Cancer immunology, immunotherapy : CII     Volume:  57     ISSN:  0340-7004     ISO Abbreviation:  Cancer Immunol. Immunother.     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2007-12-20     Completed Date:  2008-08-28     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8605732     Medline TA:  Cancer Immunol Immunother     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  425-39     Citation Subset:  IM    
Affiliation:
Institute for Medical BioMathematics (IMBM), 10 Hate'ena St., PO Box 282, Bene Ataroth 60991, Israel. natalie@imbm.org
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MeSH Terms
Descriptor/Qualifier:
Animals
Brain Neoplasms / immunology*,  therapy
Computer Simulation*
Cytokines / immunology
Data Interpretation, Statistical
Glioblastoma / immunology*,  therapy
Humans
Immunotherapy / methods*
Major Histocompatibility Complex / immunology
Models, Immunological*
Sensitivity and Specificity
T-Lymphocytes, Cytotoxic / immunology*
Time Factors
Treatment Failure
Chemical
Reg. No./Substance:
0/Cytokines
Comments/Corrections
Erratum In:
Cancer Immunol Immunother. 2008 Mar;57(3):441

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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