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.

Abstract

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.