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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.
Abstract:
An experimental oncology immunotherapy may have the potential to be effective in a large number of tumor indications. We have considered a staggered approach for efficacy screening in subjects with an unmet medical need. A cohort of tumor indications is selected for the first wave investigation and the second wave investigation in a different cohort of tumor indications is initiated only after the drug has been demonstrated to be effective in the first wave. The effectiveness of an experimental immunotherapy is unknown at the planning stage, and the assumptions at the planning stage are subject to revision later on. How many tumor indications should be investigated in the first wave for the development program to be cost-effective amid the uncertainties? We attempt to answer this question by maximizing a benefit-cost ratio, defined to be the expected number of effective tumor indications correctly identified in the two waves (benefit) divided by the expected total sample size in the two waves and the subsequent trials for more definitive testing triggered by those with a positive outcome in the first wave (cost). It is found from the benefit-cost ratio analyses that, depending on resource availability, three to five tumor indications may be initiated in the first wave to properly balance the risk and benefit, and adequate investment is important to maintain the quality of statistical design.
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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