| Resumen |
Background:
The immunotherapy using dendritic cells (DCs) against different varieties of cancer is an approach that has been previously explored which induces a specific immune response. This work presents a mathematical model of DCs immunotherapy for melanoma in mice based on work by Experimental immunotherapy Laboratory of the Medicine Faculty in the Universidad Autonoma de Mexico (UNAM).
Method: The model is a five delay differential equation (DDEs) which represents a simplified view of the immunotherapy mechanisms. The mathematical model takes
into account the interactions between tumor cells, dendritic cells, naive cytotoxic Tlymphocytes cells (inactivated cytotoxic cells), effector cells (cytotoxic T activated cytotoxic cells) and transforming growth factor β cytokine (TGF−β). The model is
validated comparing the computer simulation results with biological trial results of the immunotherapy developed by the research group of UNAM.
Results:
The results of the growth of tumor cells obtained by the control
immunotherapy simulation show a similar amount of tumor cell population than the biological data of the control immunotherapy. Moreover, comparing the increase of tumor cells obtained from the immunotherapy simulation and the biological data of
the immunotherapy applied by the UNAM researchers obtained errors of approximately 10 %. This allowed us to use the model as a framework to test hypothetical treatments. The numerical simulations suggest that by using mor |
