Table 1.

Model clinical parameters

ParameterBase-case estimateRangeStudy or data source
PFS for CAR T-cell therapy (axi-cel) Log-normal: μ = 3.7836, σ = 1.8214 — Jacobson et al, 20228  
PFS for SOC therapies Gompertz: λ = 0.0514,
γ = −0.0289 
— Casulo et al, 202210  
PFS for PI3K inhibitor (copanlisib) Weibull: λ = 0.0442, κ = 1.0770 — Dreyling et al, 202015  
PFS for EZH2 inhibitor (tazemetostat), wild-type Log-normal: μ = 2.1452, σ = 1.3242 — Morschhauser et al, 202014  
PFS for EZH2 inhibitor (tazemetostat), mutation Log-normal: μ = 2.2847, σ = 1.0814 — Morschhauser et al, 202014  
Time from progression to start of next therapy, mo 3-12 Nastoupil et al, 201428  
Median starting age of cohort, y 60 58-62 Jacobson et al, 20228  
Probability of background death, % — — Arias and Xu, 202029  
Discount rate, % 1.5-6.0 Sanders et al, 201620; Huntington et al, 201821  
Probability of EZH2 mutation, % 20 16-24 Morschhauser et al, 202014  
Recipients of CAR T-cell therapy receiving 12 mo of IVIG, % 27 21.6-32.4 Jacobson et al, 20228  
Probability of dose reduction of PI3K inhibitor, monthly, % 4.34 3.47-5.21 Dreyling et al, 202015  
Probability of dose reduction of EZH2 inhibitor, monthly, % 0.41 0.32-0.49 Morschhauser et al, 202014  
Reduced dose (PI3K inhibitor and EZH2 inhibitor), % 75 60-90 Expert opinion; FDA package inserts30  
Probability of discontinuation of PI3K inhibitor, monthly, % 4.12 3.30-4.94 Dreyling et al, 202015  
Probability of discontinuation of EZH2 inhibitor, monthly, % 0.23 0.18-0.28 Morschhauser et al, 202014  
Probability of CAR T-cell therapy–related mortality (first mo), % 0.68 0.54-0.81 Jacobson et al, 20228  
Probability of receipt of bridging therapy (first mo), % 4.65 3.78-5.58 Jacobson et al, 20228  
Probability of procession to BSC after progression, % 11.6 9.28-13.9 Barnes et al, 201831  
Probability of death from BSC state, monthly, % 55 25-60 Odejide et al, 201632; expert opinion 
ParameterBase-case estimateRangeStudy or data source
PFS for CAR T-cell therapy (axi-cel) Log-normal: μ = 3.7836, σ = 1.8214 — Jacobson et al, 20228  
PFS for SOC therapies Gompertz: λ = 0.0514,
γ = −0.0289 
— Casulo et al, 202210  
PFS for PI3K inhibitor (copanlisib) Weibull: λ = 0.0442, κ = 1.0770 — Dreyling et al, 202015  
PFS for EZH2 inhibitor (tazemetostat), wild-type Log-normal: μ = 2.1452, σ = 1.3242 — Morschhauser et al, 202014  
PFS for EZH2 inhibitor (tazemetostat), mutation Log-normal: μ = 2.2847, σ = 1.0814 — Morschhauser et al, 202014  
Time from progression to start of next therapy, mo 3-12 Nastoupil et al, 201428  
Median starting age of cohort, y 60 58-62 Jacobson et al, 20228  
Probability of background death, % — — Arias and Xu, 202029  
Discount rate, % 1.5-6.0 Sanders et al, 201620; Huntington et al, 201821  
Probability of EZH2 mutation, % 20 16-24 Morschhauser et al, 202014  
Recipients of CAR T-cell therapy receiving 12 mo of IVIG, % 27 21.6-32.4 Jacobson et al, 20228  
Probability of dose reduction of PI3K inhibitor, monthly, % 4.34 3.47-5.21 Dreyling et al, 202015  
Probability of dose reduction of EZH2 inhibitor, monthly, % 0.41 0.32-0.49 Morschhauser et al, 202014  
Reduced dose (PI3K inhibitor and EZH2 inhibitor), % 75 60-90 Expert opinion; FDA package inserts30  
Probability of discontinuation of PI3K inhibitor, monthly, % 4.12 3.30-4.94 Dreyling et al, 202015  
Probability of discontinuation of EZH2 inhibitor, monthly, % 0.23 0.18-0.28 Morschhauser et al, 202014  
Probability of CAR T-cell therapy–related mortality (first mo), % 0.68 0.54-0.81 Jacobson et al, 20228  
Probability of receipt of bridging therapy (first mo), % 4.65 3.78-5.58 Jacobson et al, 20228  
Probability of procession to BSC after progression, % 11.6 9.28-13.9 Barnes et al, 201831  
Probability of death from BSC state, monthly, % 55 25-60 Odejide et al, 201632; expert opinion 

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