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Criteria for assessing evidence for biomarker-targeted therapies in rare cancers-an extrapolation framework
Doah Cho1,2, Sarah J Lord3, Robyn Ward4
1National Health and Medical Research Council Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Australia.
Background:
Advances in targeted therapy development and tumor sequencing technology are reclassifying cancers into smaller biomarker-defined diseases. Randomized controlled trials (RCTs) are often impractical in rare diseases, leading to calls for single-arm studies to be sufficient to inform clinical practice based on a strong biological rationale. However, without RCTs, favorable outcomes are often attributed to therapy but may be due to a more indolent disease course or other biases. When the clinical benefit of targeted therapy in a common cancer is established in RCTs, this benefit may extend to rarer cancers sharing the same biomarker. However, careful consideration of the appropriateness of extending the existing trial evidence beyond specific cancer types is required. A framework for extrapolating evidence for biomarker-targeted therapies to rare cancers is needed to support transparent decision-making.
Objectives:
To construct a framework outlining the breadth of criteria essential for extrapolating evidence for a biomarker-targeted therapy generated from RCTs in common cancers to different rare cancers sharing the same biomarker.
Design:
A series of questions articulating essential criteria for extrapolation.
Methods:
The framework was developed from the core topics for extrapolation identified from a previous scoping review of methodological guidance. Principles for extrapolation outlined in guidance documents from the European Medicines Agency, the US Food and Drug Administration, and Australia's Medical Services Advisory Committee were incorporated.
Results:
We propose a framework for assessing key assumptions of similarity of the disease and treatment outcomes between the common and rare cancer for five essential components: prognosis of the biomarker-defined cancer, biomarker test analytical validity, biomarker actionability, treatment efficacy, and safety. Knowledge gaps identified can be used to prioritize future studies.
Conclusion:
This framework will allow systematic assessment, standardize regulatory, reimbursement and clinical decision-making, and facilitate transparent discussions between key stakeholders in drug assessment for rare biomarker-defined cancers.
Insights
A new framework helps assess if targeted cancer therapies proven in common cancers can be used for rare cancers with the same biomarker. This aids transparent decision-making for rare disease treatments.
Area of Science:
- Oncology
- Biomarker Discovery
- Clinical Trial Design
Background:
- Advances in targeted therapy and tumor sequencing are creating smaller, biomarker-defined cancer types.
- Randomized controlled trials (RCTs) are often not feasible for rare diseases, increasing reliance on single-arm studies.
- Extrapolating treatment benefits from common to rare cancers requires careful consideration of disease and biomarker similarities.
Purpose of the Study:
- To develop a framework for evaluating the extrapolation of evidence for biomarker-targeted therapies.
- To guide the application of evidence from common cancer RCTs to rare cancers sharing the same biomarker.
Main Methods:
- The framework was developed using core topics from a scoping review of methodological guidance.
- Principles from regulatory bodies (EMA, FDA, MSAC) were incorporated into the framework's design.
- The framework consists of a series of questions addressing essential criteria for evidence extrapolation.
Main Results:
- A framework is proposed for assessing similarity in disease and treatment outcomes between common and rare cancers.
- Key components include prognosis, biomarker test validity, actionability, treatment efficacy, and safety.
- Identified knowledge gaps can inform future research priorities.
Conclusions:
- The framework enables systematic assessment and standardization of regulatory, reimbursement, and clinical decisions.
- It facilitates transparent discussions among stakeholders involved in drug assessment for rare cancers.
- This approach supports evidence-based decision-making for rare biomarker-defined cancers.
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