A Mathematical Modeling Approach for Targeted Radionuclide and Chimeric Antigen Receptor T Cell Combination Therapy.
A Mathematical Modeling Approach for Targeted Radionuclide and Chimeric Antigen Receptor T Cell Combination Therapy.
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DOI:
10.3390/cancers13205171
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发表时间:
2021-10-15
期刊:
影响因子:
5.2
通讯作者:
Rockne RC
中科院分区:
文献类型:
--
作者:
Adhikarla V;Awuah D;Brummer AB;Caserta E;Krishnan A;Pichiorri F;Minnix M;Shively JE;Wong JYC;Wang X;Rockne RC
Targeted radionuclide therapy (TRT) and immunotherapy, an example being chimeric antigen receptor T cells (CAR-Ts), represent two potent means of eradicating systemic cancers. Although each one as a monotherapy might have a limited effect, the potency can be increased with a combination of the two therapies. The complications involved in the dosing and scheduling of these therapies make the mathematical modeling of these therapies a suitable solution for designing combination treatment approaches. Here, we investigate a mathematical model for TRT and CAR-T cell combination therapies. Through an analysis of the mathematical model, we find that the tumor proliferation rate is the most important factor affecting the scheduling of TRT and CAR-T cell treatments with faster proliferating tumors requiring a shorter interval between the two therapies. Targeted radionuclide therapy (TRT) has recently seen a surge in popularity with the use of radionuclides conjugated to small molecules and antibodies. Similarly, immunotherapy also has shown promising results, an example being chimeric antigen receptor T cell (CAR-T) therapy in hematologic malignancies. Moreover, TRT and CAR-T therapies possess unique features that require special consideration when determining how to dose as well as the timing and sequence of combination treatments including the distribution of the TRT dose in the body, the decay rate of the radionuclide, and the proliferation and persistence of the CAR-T cells. These characteristics complicate the additive or synergistic effects of combination therapies and warrant a mathematical treatment that includes these dynamics in relation to the proliferation and clearance rates of the target tumor cells. Here, we combine two previously published mathematical models to explore the effects of dose, timing, and sequencing of TRT and CAR-T cell-based therapies in a multiple myeloma setting. We find that, for a fixed TRT and CAR-T cell dose, the tumor proliferation rate is the most important parameter in determining the best timing of TRT and CAR-T therapies.
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影响因子:
3.4
作者:
Brenner, DJ;Hlatky, LR;Sachs, RK
通讯作者:
Sachs, RK
影响因子:
7.5
作者:
Pinnix, Chelsea C.;Gunther, Jillian R.;Nastoupil, Loretta J.
通讯作者:
Nastoupil, Loretta J.
影响因子:
7.5
作者:
Krishnan, Amrita;Adhikarla, Vikram;Pichiorri, Flavia
通讯作者:
Pichiorri, Flavia
影响因子:
17.1
作者:
Patel RB;Hernandez R;Carlson P;Grudzinski J;Bates AM;Jagodinsky JC;Erbe A;Marsh IR;Arthur I;Aluicio-Sarduy E;Sriramaneni RN;Jin WJ;Massey C;Rakhmilevich AL;Vail D;Engle JW;Le T;Kim K;Bednarz B;Sondel PM;Weichert J;Morris ZS
通讯作者:
Morris ZS
DOI:
10.1016/j.ijrobp.2020.08.035
发表时间:
2021-03-15
期刊:
International journal of radiation oncology, biology, physics
影响因子:
--
作者:
St James S;Bednarz B;Benedict S;Buchsbaum JC;Dewaraja Y;Frey E;Hobbs R;Grudzinski J;Roncali E;Sgouros G;Capala J;Xiao Y
通讯作者:
Xiao Y