Table 1.
Challenge | Considerations for researchers |
Mechanism of action | |
Representation of the underlying biological model | Has the underlying biological model and how it links with any survival analysis/statistical modeling been clearly explained? |
Possibility of cure underlying the long-term survival | Have published external data or additional clinical trial data been presented as supportive evidence of long-term survivorship? |
Addressing pseudo-progression |
|
Model structure and survival extrapolation methodology | |
Use of non-standard model structure to capture immunotherapy effect | Have the methods used been explained, and any previous uses of the methods incorporated? |
Capturing heterogeneity in treatment effect and outcomes | Has heterogeneity in treatment effect been explored and were any subgroup analyses based on mechanism of actions and clinical plausibility? |
Availability and use of early response biomarkers to predict long-term survival | Have any biomarker data been presented as the predicate for considering heterogeneity? |
Shape of the survival curve/plateau and smoothing estimators of the hazard function | Has the survival analysis/statistical modeling been presented and justified not just in terms of statistical performance, but how it reflects the underlying biological model? |
Clinical plausibility and validation of the extrapolation using real-world evidence or other data | Have real-world data been sourced and included to support estimates of long-term survival? |
Limited clinical trial evidence at HTA submission | |
Duration of follow-up and maturity of OS and PFS | Have the trial end points been presented within the context of completeness—for example, censoring, numbers at risk? |
Availability and use of intermediate and/or surrogate end points (TFI, DFS, response) | Have the surrogate end points been presented, and their relationship to long-term survival demonstrated? |
HTA submission | |
Linking central points with payer, clinician, and patient perspectives on immunotherapy: this is not necessarily a question that can be used as a proxy for a submission requirement, but it is in place for manufacturers to consider that they have sought out expert opinions from these important stakeholders. |
DFS, disease-free survival; HTA, health technology assessment; IOs, immuno-oncologics; OS, overall survival; PFS, progression-free survival; TFI, treatment-free interval.