scholarly journals Modeling Dendritic Cell Pulsed Immunotherapy for Mice with Melanoma—Protocols for Success and Recurrence

2021 ◽  
Vol 11 (7) ◽  
pp. 3199
Author(s):  
Juan Carlos Chimal-Eguia ◽  
Erandi Castillo-Montiel ◽  
Julio Cesar Rangel-Reyes ◽  
Ricardo Teodoro Paez-Hernández

Nowadays, immunotherapy has become an important alternative to fight cancer. One way in which biologists and medics use immunotherapy is by injecting antigen-incubated Dendritic Cells (DCs) into mice to stimulate an immune response. The DCs optimal quantities and infusion times for a successful cancer eradication are often unknown to the therapists; usually, these quantities are obtained by testing various protocols. The article shows a model of five differential equations which represents some interactions between some cells of the immune system and tumor cells which is used to test different infusion protocols of Dendritic Cells. This study aims to find operation ranges to DCs quantities and injection times for which the therapy reduces the tumor significantly. To that end, an exhaustive search of operative protocols is performed using simulations of a mathematical model. Furthermore, nonlinear analysis of the model reveals that without the DC therapy tumor cells cannot stay under non-lethal bounds. Finally, we show that a pulsed periodic therapy can prevent tumor relapsing when the doses and period times lie within a certain range.

2015 ◽  
Vol 23 (03) ◽  
pp. 505-526 ◽  
Author(s):  
XUEFANG LI ◽  
JIAN-XIN XU

In this paper, a new mathematical model of the interactions between a growing tumor and an immune system is presented by incorporating the danger model. The populations involved are tumor cells, CD8+T-cells, natural killer cells (NK-cells), dendritic cells (DCs) and cytokine interleukin-12 (IL-12). A key feature of this work is the inclusion of the danger model into the dynamics of the immune system, which is rarely considered by previous works. Regarding the constructed mathematical model, both the location of equilibria and their stability properties are discussed, which are useful not only to gain a broad understanding of the specific system dynamics, but also to help guide the development of therapies. Moreover, numerical simulations of the system with chemotherapy and immunotherapy by using specific parameters are presented to illustrate that proper therapy is able to eliminate the entire tumor. In addition, we illustrate cases for which neither chemotherapy nor immunotherapy alone are able to control tumor growth, but a combination treatment is sufficient to eliminate the tumor cells.


2020 ◽  
Vol 9 (8) ◽  
pp. 2661
Author(s):  
Rachel Abrahem ◽  
Emerald Chiang ◽  
Joseph Haquang ◽  
Amy Nham ◽  
Yu-Sam Ting ◽  
...  

Dendritic cells are the principal antigen-presenting cells (APCs) in the host defense mechanism. An altered dendritic cell response increases the risk of susceptibility of infections, such as Mycobacterium tuberculosis (M. tb), and the survival of the human immunodeficiency virus (HIV). The altered response of dendritic cells leads to decreased activity of T-helper-1 (Th1), Th2, Regulatory T cells (Tregs), and Th17 cells in tuberculosis (TB) infections due to a diminishment of cytokine release from these APCs, while HIV infection leads to DC maturation, allowing DCs to migrate to lymph nodes and the sub-mucosa where they then transfer HIV to CD4 T cells, although there is controversy around this topic. Increases in the levels of the antioxidant glutathione (GSH) plays a critical role in maintaining dendritic cell redox homeostasis, leading to an adequate immune response with sufficient cytokine release and a subsequent robust immune response. Thus, an understanding of the intricate pathways involved in the dendritic cell response are needed to prevent co-infections and co-morbidities in individuals with TB and HIV.


2018 ◽  
Vol 36 (3) ◽  
pp. 381-410 ◽  
Author(s):  
Angela M Jarrett ◽  
Meghan J Bloom ◽  
Wesley Godfrey ◽  
Anum K Syed ◽  
David A Ekrut ◽  
...  

Abstract The goal of this study is to develop an integrated, mathematical–experimental approach for understanding the interactions between the immune system and the effects of trastuzumab on breast cancer that overexpresses the human epidermal growth factor receptor 2 (HER2+). A system of coupled, ordinary differential equations was constructed to describe the temporal changes in tumour growth, along with intratumoural changes in the immune response, vascularity, necrosis and hypoxia. The mathematical model is calibrated with serially acquired experimental data of tumour volume, vascularity, necrosis and hypoxia obtained from either imaging or histology from a murine model of HER2+ breast cancer. Sensitivity analysis shows that model components are sensitive for 12 of 13 parameters, but accounting for uncertainty in the parameter values, model simulations still agree with the experimental data. Given theinitial conditions, the mathematical model predicts an increase in the immune infiltrates over time in the treated animals. Immunofluorescent staining results are presented that validate this prediction by showing an increased co-staining of CD11c and F4/80 (proteins expressed by dendritic cells and/or macrophages) in the total tissue for the treated tumours compared to the controls ($p < 0.03$). We posit that the proposed mathematical–experimental approach can be used to elucidate driving interactions between the trastuzumab-induced responses in the tumour and the immune system that drive the stabilization of vasculature while simultaneously decreasing tumour growth—conclusions revealed by the mathematical model that were not deducible from the experimental data alone.


1996 ◽  
Vol 06 (08) ◽  
pp. 1187-1209 ◽  
Author(s):  
M. LO SCHIAVO

This paper deals with a kinetic modelling of the cellular dynamics of tumors interacting with an active immune defence system. The analysis starts from the model proposed in Refs. 4 and 5 where a kinetic (cellular) theory of the interactions and competition between tumor cells and immune system is developed in a framework similar to the one of nonlinear statistical mechanics. The class of models proposed in this paper replaces the system of integro-differential equations by a system of ordinary differential equations. This has several advantages. Firstly, it allows immediate interpretations of the control parameters and is characterized by a relatively lower computational complexity. Further, some interesting periodicity properties of the solutions are characterized.


Author(s):  
N.A. Babushkina ◽  
E.A. Kuzina ◽  
A.A. Loos ◽  
E.V. Belyaeva

The paper presents the mathematical description of the two stages of tumor cells’ death as a result of immune response after antitumor viral vaccine introduction. This mathematical description is presented by the system of nonlinear equations implemented in the MatLab-Simulink system. As a result of the computing experiment, two strategies for effective application of the antitumor viral vaccine were identified. The first strategy leads to complete elimination of the tumor cells after a single-shot administration of the vaccine. The second strategy makes it possible to stabilize tumor size through the recurrent introductions of the vaccine. Using the mathematical model of antitumor therapy, appropriate dosages were identified based on the number of tumor cells that die at the two stages of immune response. Dynamics of tumor growth for the two strategies of the viral vaccine application was forecasted based on the mathematical model of antitumor therapy with discontinuous trajectories of tumor growth. The computing experiments made it possible to identify initial tumor size at the start of the therapy and the dosages that allow complete elimination of the tumor cells after the single-shot introduction. For the second strategy, dosages and intervals between recurrent vaccine introductions required to stabilize tumor size at the initial level were also identified. The proposed approach to exploring the effectiveness of vaccine therapy may be applied to different types of experimental tumors and antitumor vaccines.


2021 ◽  
Author(s):  
Laura Y. Zhou ◽  
Fei Zou ◽  
Wei Sun

AbstractRecent development of cancer immunotherapy has opened unprecedented avenues to eliminate tumor cells using the human immune system. Cancer vaccines composed of neoantigens, or peptides unique to tumor cells due to somatic mutations, have emerged as a promising approach to activate or strengthen the immune response against cancer. A key step to identifying neoantigens is computationally predicting which somatically mutated peptides are presented on the cell surface by a human leukocyte antigen (HLA). Computational prediction relies on large amounts of high-quality training data, such as mass spectrometry data of peptides presented by one of several HLAs in living cells. We developed a complete pipeline to prioritize neoantigens for cancer vaccines. A key step of our pipeline is PEPPRMINT (PEPtide PResentation using a MIxture model and Neural neTwork), a model designed to exploit mass spectrometry data to predict peptide presentation by HLAs. We applied our pipeline to DNA sequencing data of 60 melanoma patients and identified a group of neoantigens that were more immunogenic in tumor cells than in normal cells. Additionally, the neoantigen burden estimated by PEPPRMINT was significantly associated with activity of the immune system, suggesting these neoantigens could induce an immune response.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4342-4342
Author(s):  
Yoshiko Azuma ◽  
Tomoki Ito ◽  
Muneo Inaba ◽  
Kai Imai ◽  
Masaaki Hotta ◽  
...  

Background: Elotuzumab, a humanized IgG1 monoclonal antibody targeting SLAMF7, is useful for the treatment of Relapsed or Refractory multiple myeloma (RRMM) in combination with Lenalidomide (LEN). However, cellular and molecular mechanisms underlying the immunomodulatory effects of elotuzumab still remain largely unclear. We have previously reported that LEN displays immunopotentiating activity that enhances Th2-mediated response at dendritic cell (DC) phase as upstream immune cascade associated with humoral immunity. DCs are pivotal cells in the sense of orchestrating both cell-mediated (linking with Th1) and humoral (linking with Th2) immunity as masters of the immune system. Series of analyses have clarified myeloid DCs (mDCs) play an important role in allergic immune response by the induction of Th2 response. Here, we focused on the effects of elotuzumab in combination with LEN on the function of human mDCs. Methods: Purified blood human CD11+ mDCs from healthy adult volunteers using cell sorting were cultured and analyzed by flow cytometry and ELISA. Serum were obtained from 16 MM patients with before and after elotuzumab therapy. This study was approved by the Institutional Review Board of Kansai Medical University. Results: We found that surface expression of SLAMF7 on mDCs was upregulated in response to Th2-inducing cytokine, thymic stromal lymphopoietin (TSLP) and the expression level was higher in response to TSLP than in response to toll-like receptor ligand R848. Elotuzumab at clinical in vivo plasma concentration of 30 to 300 µg/ml did not affect mDC survival and their CD86 and OX40-ligand expression when stimulated with 0.3 µM LEN and/or TSLP for 24 h. LEN enhanced TSLP-mediated Th2-recruiting chemokine CCL17/TARC from mDCs which functions as chemoattractant for memory Th2 cells and contribute to allergy and humoral immune responses, and elotuzumab significantly enhanced the LEN-mediated production of CCL17/TARC (TSLP+LEN as control vs. TSLP+LEN+100 µg/ml elotuzumab; 1.23 fold increase: p=0.003, and control vs. TSLP+LEN+300 µg/ml elotuzumab; 1.38 fold increase: p=0.038). This finding suggest elotuzumab enhances Th2-mediated immune profile at upstream phase of humoral immunity. In addition, serum CCL17 levels were analyzed in RRMM patients before and after 3 cycle elotuzumab administration (n=16). We found, serum CCL17 levels after elotuzumab administration were significantly higher compared with those before elotuzumab treatment (after; 1512 ± 459 pg/ml vs. before; 402.2 ± 87.4 pg/ml: p = 0.013). Conclusion: MM involves an element of humoral immune dysfunction. Immune status is important for the prognosis of MM, and clinical outcome can be improved by the recovery of immune status. In this context, our data showing the enhancement of Th2-mediated response by elotuzumab provide a plausible explanation for the observed clinical benefit of this antibody-drug in MM. This function of elotuzumab seems to be relevant to the treatment of MM patients under humoral immune dysfunction. Based on our data in focusing on DCs in the immune system, elotuzumab and IMiDs could function as immunostimulators of humoral immunity via mDCs, and this finding elucidated an additional cellular target of elotuzumab. Disclosures Ito: Celgene: Honoraria; Bristol-Myers Squibb: Honoraria, Research Funding.


2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Bárbara de M. Quintela ◽  
Rodrigo Weber dos Santos ◽  
Marcelo Lobosco

The development of mathematical models of the immune response allows a better understanding of the multifaceted mechanisms of the defense system. The main purpose of this work is to present a scheme for coupling distinct models of different scales and aspects of the immune system. As an example, we propose a new model where the local tissue inflammation processes are simulated with partial differential equations (PDEs) whereas a system of ordinary differential equations (ODEs) is used as a model for the systemic response. The simulation of distinct scenarios allows the analysis of the dynamics of various immune cells in the presence of an antigen. Preliminary results of this approach with a sensitivity analysis of the coupled model are shown but further validation is still required.


2004 ◽  
Vol 200 (9) ◽  
pp. 1157-1165 ◽  
Author(s):  
Attilio Bondanza ◽  
Valérie S. Zimmermann ◽  
Patrizia Rovere-Querini ◽  
Javier Turnay ◽  
Ingrid E. Dumitriu ◽  
...  

Strategies to enhance the immunogenicity of tumors are urgently needed. Although vaccination with irradiated dying lymphoma cells recruits a tumor-specific immune response, its efficiency as immunogen is poor. Annexin V (AxV) binds with high affinity to phosphatidylserine on the surface of apoptotic and necrotic cells and thereby impairs their uptake by macrophages. Here, we report that AxV preferentially targets irradiated lymphoma cells to CD8+ dendritic cells for in vivo clearance, elicits the release of proinflammatory cytokines and dramatically enhances the protection elicited against the tumor. The response was endowed with both memory, because protected animals rejected living lymphoma cells after 72 d, and specificity, because vaccinated animals failed to reject unrelated neoplasms. Finally, AxV–coupled irradiated cells induced the regression of growing tumors. These data indicate that endogenous adjuvants that bind to dying tumor cells can be exploited to target tumors for immune rejection.


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