A Mathematical Model for the Treatment of Melanoma with the BRAF/MEK Inhibitor and Anti-PD-1
Open Access
- 6 December 2022
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 12 (23) , 12474
Abstract
Skin cancer treatment is a combination of BRAF and MEK kinase inhibitors administered as tablets, along with immunotherapy treatment (treatment into the vein) with a group of drugs that inhibit the activity of the immune barrier proteins PD-1 and PDL1. Here, we propose a new approach to the therapy for melanoma with the BRAF/MEK inhibitor and anti-PD-1. With the help of explicit analytical functions, we were able to model this combined treatment and present the treatment in a mathematical model described by a system of differential equations including variables, such as Treg, IL12, Il10, TGF-, and cytokine, which are significant variables that are all critical factors which determine the effectiveness of therapies. The most significant advantage of a treatment described by a mathematical model with explicit analytical functions is the control of parameters, such as time and dose, which are variable critical parameters in the treatment, that is, these parameters can be adapted to the patient’s personalized treatment. In the current study, we showed that by simultaneously changing and combining these two parameters, we could decrease the tumor volume. To validate the numerical results, we computed the relative error between the results obtained from the mathematical model and clinical data.
Keywords
This publication has 17 references indexed in Scilit:
- Combination therapy for melanoma with BRAF/MEK inhibitor and immune checkpoint inhibitor: a mathematical modelBMC Systems Biology, 2017
- The role of regulatory T cells in cancer immunologyImmunoTargets and Therapy, 2015
- Tumor-Infiltrating Dendritic Cells in Cancer PathogenesisThe Journal of Immunology, 2015
- Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF
V600E
melanomaScience Translational Medicine, 2015
- Enhancement of T cell recruitment and infiltration into tumoursClinical and Experimental Immunology, 2014
- TLR4-dependent activation of dendritic cells by an HMGB1-derived peptide adjuvantJournal of Translational Medicine, 2014
- Improvement of Cancer Immunotherapy by Combining Molecular Targeted TherapyFrontiers in Oncology, 2013
- Dendritic Cells in the Cancer MicroenvironmentJournal of Cancer, 2013
- Insights into the Transforming Growth Factor-β Signaling Pathway in Cutaneous MelanomaAnnals of Dermatology, 2013
- Cancer immunotherapy via dendritic cellsNature Reviews Cancer, 2012