TY - JOUR
T1 - Tumor control, elimination, and escape through a compartmental model of dendritic cell therapy for melanoma
AU - Dickman, Lauren R.
AU - Milliken, Evan
AU - Kuang, Yang
N1 - Funding Information:
\ast Received by the editors July 24, 2019; accepted for publication (in revised form) January 24, 2020; published electronically April 14, 2020. https://doi.org/10.1137/19M1276303 Funding: This work was partially supported by the NIGMS of the National Institutes of Health (NIH) under award R01GM131405 and by the NSF under award DMS-1615879. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the NSF. \dagger School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281 ([email protected], [email protected], [email protected]).
Publisher Copyright:
© 2020 Society for Industrial and Applied Mathematics.
PY - 2020
Y1 - 2020
N2 - Melanoma, the deadliest form of skin cancer, is regularly treated by surgery in conjunction with a targeted therapy or immunotherapy. Dendritic cell therapy is an immunotherapy that capitalizes on the critical role dendritic cells play in shaping the immune response. We formulate a mathematical model employing ordinary differential and delay differential equations to understand the effectiveness of dendritic cell vaccines, accounting for cell trafficking with a blood and tumor compartment. We reduce our model to a system of ordinary differential equations. Both models are validated using experimental data from melanoma-induced mice. The simplicity of our reduced model allows for mathematical analysis and admits rich dynamics observed in a clinical setting, such as periodic solutions and bistability. We give thresholds for tumor elimination and existence. Bistability, in which the model outcomes are sensitive to the initial conditions, emphasizes a need for more aggressive treatment strategies, since the reproduction number below unity is no longer sufficient for elimination. A sensitivity analysis exhibits the parameters most significantly impacting the reproduction number, thereby suggesting the most efficacious treatments to use together with a dendritic cell vaccine.
AB - Melanoma, the deadliest form of skin cancer, is regularly treated by surgery in conjunction with a targeted therapy or immunotherapy. Dendritic cell therapy is an immunotherapy that capitalizes on the critical role dendritic cells play in shaping the immune response. We formulate a mathematical model employing ordinary differential and delay differential equations to understand the effectiveness of dendritic cell vaccines, accounting for cell trafficking with a blood and tumor compartment. We reduce our model to a system of ordinary differential equations. Both models are validated using experimental data from melanoma-induced mice. The simplicity of our reduced model allows for mathematical analysis and admits rich dynamics observed in a clinical setting, such as periodic solutions and bistability. We give thresholds for tumor elimination and existence. Bistability, in which the model outcomes are sensitive to the initial conditions, emphasizes a need for more aggressive treatment strategies, since the reproduction number below unity is no longer sufficient for elimination. A sensitivity analysis exhibits the parameters most significantly impacting the reproduction number, thereby suggesting the most efficacious treatments to use together with a dendritic cell vaccine.
KW - Backward bifurcation
KW - Dendritic cell therapy
KW - Hopf bifurcation
KW - Partial rank correlation coefficient
KW - Stability analysis
UR - https://www.scopus.com/pages/publications/85084435742
UR - https://www.scopus.com/pages/publications/85084435742#tab=citedBy
U2 - 10.1137/19M1276303
DO - 10.1137/19M1276303
M3 - Article
AN - SCOPUS:85084435742
SN - 0036-1399
VL - 80
SP - 906
EP - 928
JO - SIAM Journal on Applied Mathematics
JF - SIAM Journal on Applied Mathematics
IS - 2
ER -