Revista Colombiana de Matemáticas, Journal Year: 2022, Volume and Issue: 55(2), P. 177 - 196
Published: May 18, 2022
This paper presents a stability analysis of differential equations model related to the cancer treatment with an oncolytic virus in its classical and fractional version via Caputo derivatives. Numerical simulations three possible scenarios are presented support discussions on advantages using modeling.
Language: Английский
Journal of Hematology & Oncology, Journal Year: 2021, Volume and Issue: 14(1)
Published: April 16, 2021
Bispecific T cell engagers (BiTEs) are an innovative class of immunotherapeutics that redirect cells to tumor surface antigens. While efficacious against certain hematological malignancies, limited bioavailability and severe toxicities have so far hampered broader clinical application, especially solid tumors. Another emerging cancer immunotherapy oncolytic viruses (OVs) which selectively infect replicate in malignant cells, thereby mediating vaccination effects. These oncotropic can serve as vectors for tumor-targeted immunomodulation synergize with other immunotherapies. In this article, we discuss the use OVs overcome challenges BiTE therapy. We review current state field, covering published preclinical studies well ongoing investigations. systematically introduce OV-BiTE vector design characteristics evidence immune-stimulating anti-tumor Moreover, address additional combination regimens, including CAR immune checkpoint inhibitors, further strategies modulate microenvironment using OV-BiTEs. The inherent complexity these novel therapeutics highlights importance translational research correlative early-phase trials. More broadly, OV-BiTEs a blueprint diverse OV-based
Language: Английский
Citations
77
iScience, Journal Year: 2022, Volume and Issue: 25(6), P. 104395 - 104395
Published: May 13, 2022
Oncolytic viruses (OVs) are emerging cancer immunotherapy. Despite notable successes in the treatment of some tumors, OV therapy for central nervous system cancers has failed to show efficacy. We used an ex vivo tumor model developed from human glioblastoma tissue evaluate infiltration herpes simplex rQNestin (oHSV-1) into tumors. next leveraged our data develop a computational, dynamics that accounts cellular interactions within tumor. Using computational model, we found low stromal density was highly predictive oHSV-1 therapeutic success, suggesting efficacy may be determined by stromal-to-tumor cell regional density. validated these findings heterogenous patient samples brain metastatic adenocarcinoma. Our integrated modeling strategy can applied suggest mechanisms responses and facilitate successful translation OVs clinic.
Language: Английский
Citations
36
Mathematics, Journal Year: 2025, Volume and Issue: 13(5), P. 744 - 744
Published: Feb. 25, 2025
This article is concerned with the mathematical modeling of cancer virotherapy, emphasizing impact Allee effects on tumor cell growth. We propose a framework that describes complex interaction between cells and oncolytic viruses. The efficacy this therapy against mathematically investigated. analysis involves linear logistic growth scenarios coupled different effects, including weak, strong, hyper forms. Critical points are identified, their existence stability analyzed using dynamical system theories bifurcation techniques. Also, diagrams numerical simulations utilized to verify extend analytical results. It observed significantly influence conditions necessary for control eradication.
Language: Английский
Citations
0
Mathematical Biosciences & Engineering, Journal Year: 2022, Volume and Issue: 19(5), P. 4429 - 4457
Published: Jan. 1, 2022
Combining chimeric antigen receptor T (CAR-T) cells with oncolytic viruses (OVs) has recently emerged as a promising treatment approach in preclinical studies that aim to alleviate some of the barriers faced by CAR-T cell therapy. In this study, we address means mathematical modeling main question whether single dose or multiple sequential doses during OVs therapy can have synergetic effect on tumor reduction. To end, propose an ordinary differential equations-based model virus-induced synergism investigate potential effects different regimes could result efficacious combination against populations. Model simulations show that, while is inadequate eliminate all cells, combining same successfully absence synergism. However, presence synergism, fails tumor. Furthermore, it shown if intensity synergy and/or virus potency high, then induced response inhibit oncolysis. Additionally, more robust synergistic reduction when and are administered simultaneously compared where first after OV injection. Our findings suggest seems unlikely be effective included genetically engineering viral vectors.
Language: Английский
Citations
13
Bulletin of Mathematical Biology, Journal Year: 2021, Volume and Issue: 83(7)
Published: May 18, 2021
Language: Английский
Citations
16
Mathematical Biosciences & Engineering, Journal Year: 2022, Volume and Issue: 19(6), P. 6157 - 6185
Published: Jan. 1, 2022
<abstract><p>In this study we investigate computationally tumour-oncolytic virus (OV) interactions that take place within a heterogeneous extracellular matrix (ECM). The ECM is viewed as mixture of two constitutive phases, namely fibre phase and non-fibre phase. multiscale mathematical model presented here focuses on the nonlocal cell-cell cell-ECM interactions, how these might be impacted by infection cancer cells with OV. At macroscale track kinetics cells, particles ECM. microscale (i) degradation degrading enzymes (MDEs) produced which further influences movement tumour boundary; (ii) re-arrangement microfibres macrofibres (i.e., fibres at macroscale). With help new model, questions: whether infected cell fluxes are result local or non-local advection in response to density; what effect spatial spread oncolytic viruses outcome virotherapy.</p></abstract>
Language: Английский
Citations
6
Methods in molecular biology, Journal Year: 2019, Volume and Issue: unknown
Published: Sept. 4, 2019
Language: Английский
Citations
6
Mathematics in Applied Sciences and Engineering, Journal Year: 2020, Volume and Issue: 1(3), P. 249 - 273
Published: Sept. 28, 2020
Oncolytic virus (OV) therapy is a promising treatment for cancer due to the OVs selective ability infect and replicate inside cells, thus killing them, without harming healthy cells. In this work, we present new non-local multiscale moving boundary model spatio-temporal cancer-OV interactions. This explores an important double feedback loop that links macro-scale dynamics of cancer-virus interactions micro-scale proteolytic activity taking place at tumour interface. The cell-cell cell-matrix are assumed be nonlocal, while cell-virus local. With help investigate computationally various scenarios involving oncolytic viruses (i.e., effect injecting OV tumour, or outside it). Moreover, different interaction strengths on success spreading throughout constant density-dependent diffusion coefficients viral spread.
Language: Английский
Citations
5
Trends in cancer, Journal Year: 2020, Volume and Issue: 7(1), P. 3 - 9
Published: Nov. 7, 2020
Language: Английский
Citations
5
Physica Scripta, Journal Year: 2024, Volume and Issue: 99(3), P. 035227 - 035227
Published: Feb. 2, 2024
Abstract Oncolytic viruses (OVs) exploit characteristics of mass cells and tumor-related reaction the body to presence antigen, lyse malignant modulate tumor microenvironment. However, effective clinical utilization these powerful treatment modules necessitates their logical control, especially in order prevent solid metastatic outgrowths. Hence, it is imperative develop methods protect a virus from annihilating surroundings bloodstream when traveling locations. Our article reports on bistability chaotic behavior 4D cancer virotherapy model. We find that unstable, stable behaviors can appear model tuning some its parameters. With help chart dynamic parameter spaces, numerical investigations system’s are analyzed followed by discussion obtained results. It appears local transition change an invariant one-torus (IT1) two-torus (IT2) counterpart be found system this undergoes Neimark-Saker (NS) direction. As increasing rate immune effector enhance, amount increases as consequence, dynamics becomes with pronounced Lyapunov exponent. This result failure due interference viruses. also focus our study deign ad-hoc electronic Field Programmable Gate Arrays (FPGA) implementations virotherapy’s model, illustrate
Language: Английский
Citations
0