Dataset Information

Kronik2008 - Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics

ABSTRACT: This mathematical model describes interactions between glioma tumors and the immune system that may occur following direct intra-tumoral administration of ex-vivo activated alloreactive cytotoxic-T-lymphocytes (aCTLs) as part of adoptive immunotherapy. The model includes descriptions of aCTL, neoplastic cells, MHC class I and II molecules, TGF-beta and IFN-gamma.

SUBMITTER: Johannes Meyer

PROVIDER: BIOMD0000000808 | BioModels | 2019-09-09

REPOSITORIES: BioModels

ACCESS DATA

Publications

Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics.

Kronik Natalie N Kogan Yuri Y Vainstein Vladimir V Agur Zvia Z

Cancer immunology, immunotherapy : CII 20070907 3

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 dyn ...[more]

PMID: 17823798

Similar Datasets

Project description:The paper describes a model on the size of pancreatic tumour. Created by COPASI 4.25 (Build 207) This model is described in the article: Modeling Pancreatic Cancer Dynamics with Immunotherapy Xiaochuan Hu, Guoyi Ke and Sophia R.-J. Jang Bulletin of Mathematical Biology (2019) 81:1885–1915 Abstract: We develop a mathematical model of pancreatic cancer that includes pancreatic cancer cells, pancreatic stellate cells, effector cells and tumor-promoting and tumor- suppressing cytokines to investigate the effects of immunotherapies on patient survival. The model is first validated using the survival data of two clinical trials. Local sen- sitivity analysis of the parameters indicates there exists a critical activation rate of pro-tumor cytokines beyond which the cancer can be eradicated if four adoptive trans- fers of immune cells are applied. Optimal control theory is explored as a potential tool for searching the best adoptive cellular immunotherapies. Combined immunother- apies between adoptive ex vivo expanded immune cells and TGF-β inhibition by siRNA treatments are investigated. This study concludes that mono-immunotherapy is unlikely to control the pancreatic cancer and combined immunotherapies between anti-TGF-β and adoptive transfers of immune cells can prolong patient survival. We show through numerical explorations that how these two types of immunotherapies are scheduled is important to survival. Applying TGF-β inhibition first followed by adoptive immune cell transfers can yield better survival outcomes. This model is hosted on BioModels Database and identified by: MODEL1907050003. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Adoptive immunotherapy using ex vivo expanded tumor reactive lymphocytes can mediate durable cancer regression in selected melanoma patients. Analyses of these trials have associated the in vivo engraftment ability of the transferred cells with their anti-tumor efficacy. Thus, there is significant clinical interest in the prospective isolation of tumor specific T cells that can reliably persist after transfer. Animal studies have suggested that central memory CD8+ T cells (TCM) have divergent capabilities including effector differentiation to target antigen and stem cell-like self renewal that enable long term survival after adoptive transfer. In this study, we sought to isolate human melanoma specific TCM to define their in vivo fate and function after autologous therapeutic transfer to metastatic patients. To facilitate the high throughput identification of these rare cells from patients, we report that TCM have a defined stoichiometric production of IL-2 and IFN-g mRNA after antigen stimulation. Melanoma specific T cells screened for high relative IL-2 production possessed a TCM phenotype and superior in vitro proliferative capacity compared to cells with low IL-2 production. To investigate in vivo effector function and self renewal capability, melanoma specific TCM underwent in vitro expansion and differentiation into lytic effector clones and then were adoptively transferred back into their hosts. These clones targeted skin melanocytes in all five patients and persisted long term and reacquired parental TCM attributes in four patients after transfer. These findings demonstrate the favorable engraftment fitness for human TCM-derived clones, but further efforts to improve their anti-tumor efficacy are still necessary. We used microarrays to compare the resting gene expression profile of melanoma specific CD8+ T cell clones that were derived from either High IL-2:IFN index precursors or Low IL-2:IFN index precursors. Three melanoma specific effector clones were derived from parental cells that possessed a high IL-2:IFN index from three independent patients with metastatic melanoma. Two melanoma specific effector clones were derived from parental cells that possessed a low IL-2:IFN index from two independent patients with metastatic melanoma. We used microarrays to compare the resting gene expression profile of the CD8+ T cell clones that were derived from either high IL-2:IFN index precursors or low IL-2:IFN index precursors.

Project description:The optimal T cell attributes for the adoptive immunotherapy of cancer and viral diseases are currently unclear. Recent adoptive transfer clinical trials using ex vivo expanded tumor infiltrating lymphocytes has provided evidence that differentiated effector T cells can mediate durable responses in selected cancer patients. The capacity of these transferred cells to persist in the host was found to strongly correlate with their clinical activity. Thus, there is significant interest in identifying intrinsic markers that define antigen specific effector T cells that can develop into long-lived memory cells rather than undergoing apoptosis after infusion in humans. We recently reported the long term persistence of ex vivo expanded tumor specific CD8+ T effector clones in refractory metastatic melanoma patients after adoptive T cell transfer. By utilizing these highly homogeneous clone populations, we sought to define the pre-infusion cellular and molecular attributes associated with their effector to memory transition. Comparative transcriptional profiling found the pre-infusion clone mRNA expression levels of the IL-7 receptor (IL-7Ra) and the proto-oncogene, c-myc, directly correlated with the level of clonal persistence after adoptive transfer in humans. The predictive value of these markers was further established by utilizing IL-7R protein, induced pSTAT5, and c-myc mRNA expression to prospectively identify human tumor specific effector clones that could engraft after controlled adoptive transfer into highly immunodeficient mice. These findings support that IL-7R and c-myc expression are valuable cell intrinsic markers that can predict the fate of effector CD8+ T cells after adoptive transfer. We used microarrays to compare the pre-infusion gene expression profile of melanoma-specific CD8+ T cell clones that would eventually either persist or not after adoptive transfer in humans. We derived ten melanoma-specific CD8+ T cell clones and determined their degree of persistence after adoptive therapy into patients. We performed microarray on the pre-infusion samples of six persisting and four non-persisting clones to obtain a comparative gene signature profile.

Dataset Information

Kronik2008 - Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics

Publications

Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure