How many tumor indications should be initially screened in development of next generation immunotherapies?

Cong Chen1, Qiqi Deng2, Linchen He3

  • 1Sciences, Merck & Co., Inc., Kenilworth, NJ 07033, USA.

Insights

For experimental oncology immunotherapies, investigating three to five tumor indications in the initial wave balances risk and benefit. This staggered approach optimizes cost-effectiveness for identifying effective treatments amid uncertainty.

Area of Science:

  • Oncology
  • Immunotherapy
  • Clinical Trial Design

Background:

  • Experimental oncology immunotherapies show potential across numerous tumor indications.
  • A staggered approach for efficacy screening is proposed for indications with unmet medical needs.
  • The effectiveness of novel immunotherapies is uncertain during the planning phase.

Purpose of the Study:

  • To determine the optimal number of tumor indications for the first wave of investigation to maximize cost-effectiveness.
  • To balance the expected benefits (correctly identified effective indications) against the expected costs (total sample size).

Main Methods:

  • A benefit-cost ratio was defined as expected effective indications identified divided by expected total sample size.
  • Analysis focused on a two-wave staggered screening approach for immunotherapy development.
  • The model accounts for uncertainties in treatment effectiveness at the planning stage.

Main Results:

  • Benefit-cost ratio analyses suggest initiating three to five tumor indications in the first wave.
  • The optimal number depends on resource availability and the need to balance risk and benefit.
  • Adequate investment is crucial for maintaining high-quality statistical design.

Conclusions:

  • A phased approach with 3-5 initial tumor indications can optimize immunotherapy development.
  • Careful planning and resource allocation are essential for cost-effective efficacy screening.
  • Statistical design quality is paramount for reliable results in early-phase immunotherapy trials.

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