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Virtual population simulations showing the impact on patient response when parameters are changed one at a time (OAT). (A) Number of patients classified as Complete Remission or No Response when one parameter is varied at a time in Complete Remission virtual patients. (B) Number of patients classified as Complete Remission or No Response when one parameter is varied at a time in No Response virtual patients. (C) Percent change in patients achieving Complete Remission among Complete Remission virtual patients when each of the parameter is varied. (D) Percent change in patients achieving Complete Remission among No Response virtual patients when each of the parameter is varied.

Virtual population simulations showing the impact on patient response when parameters are changed one at a time (OAT). (A) Number of patients classified as Complete Remission or No Response when one parameter is varied at a time in Complete Remission virtual patients. (B) Number of patients classified as Complete Remission or No Response when one parameter is varied at a time in No Response virtual patients. (C) Percent change in patients achieving Complete Remission among Complete Remission virtual patients when each of the parameter is varied. (D) Percent change in patients achieving Complete Remission among No Response virtual patients when each of the parameter is varied.

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Figure 2. Model fittings of patients reported as Complete Remission....
Figure 4. Model fittings of patients reported as Partial Response. (A)...
Figure 5. Tumor cell model predictions in (A) CR patients, (B) NR...
Figure 6. Model predictions of CAR T cell sub types in (A) CR Patients...
Figure 8. Virtual population simulations showing the impact on patient...
Modeling and Simulation of CAR T cell Therapy in Chronic Lymphocytic Leukemia Patients
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  • Dec 2022
Advances in genetic engineering have made it possible to reprogram an individuals immune cells to express receptors that recognize markers on tumor cell surfaces. The process of re-engineering T cell lymphocytes to express Chimeric Antigen Receptors (CARs) and reinfusing the CAR-modified T cells into patients to treat various cancers is being explo...
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... patient is classified as NR when the number of B cells is >1 B cell/µl. As shown in Figure 8A, varying the parameter d b representing the tumor cell killing rate by CAR T cells, in CR virtual patients results in more NR patients compared to the other parameters. Whereas r t and T max showed moderate influence on patient response and the least impact was seen when e m or d e is replaced. ...
Context 2
... results were seen in the NR group when each parameter is replaced with the CR mean parameter. Figure 8B shows the percent change in the patient response (CR to NR or NR to CR) on day 60 for the virtual populations of CR and NR patients. This percent change is greatest when the parameter d b is replaced, followed by r t , and T max . ...

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