Table 1.
Time to progression | 5% T− | 90% T− | % Dose |
---|---|---|---|
Representative patient #1—with “cheater” population | |||
MTD | 3950 | 4621 | 100% |
Metronomic | 4556 | 4950 | 24.1% |
Adaptive | 8557 | Indefinite | 1.0% |
Representative patient #2—without “cheater” population | |||
MTD | 323 | 784 | 100% |
Metronomic | 323 | 784 | 24.1% |
Adaptive | 323 | Indefinite | < 1.0% |
No T− population is present before treatment in Patient #1 and only arises after therapy is given. Both MTD and the long induction of metronomic therapy results in a T− population appearing and it rapidly comprises the whole tumor. There is a slight lengthening of control in Patient #1 with metronomic therapy. Total dosing declines 24% relative to MTD. Under adaptive therapy, the substantial population of T+ cells delays the establishment of T− cells and provides durable control for a long period with minimal amounts of drug. Adaptive therapy prevents full competitive release of T−. Patient #2 has a population of T− in the tumor prior to first treatment. This is shown at time 323 in all cases. Both MTD and the long induction of metronomic therapy allows the T− population to quickly rise and experience full competitive release. Adaptive therapy in patient #2 prevents full competitive release of the T− population. The significantly lower percentage of drug given in the modeled adaptive therapies compared to the clinical trial percentages is due to the on/off pharmacokenetics in the model that leads to immediate reponses of cell populations. Patients likely experience more gradual changes and can only see a shift in therapy at most every 4 weeks