Online Program

Return to main conference page

All Times EDT

Thursday, September 24
Thu, Sep 24, 1:30 PM - 2:45 PM
Virtual
Throw Another Drug in the Ring: Combination Therapy in Oncology Drug Development

Statistical Considerations for Development of Novel Combination Designs for Immuno-Oncology Development (301198)

View Presentation

View Video

Arunava Chakravartty, Novartis Pharmaceuticals 
*Bharani Dharan, Novartis 

Keywords: Combination, NMEs, Factorial design, adaptive

Immunotherapy (IO) development is a rapidly evolving field where a single agent activity has been superseded by the activity of a combination with either traditional chemotherapy or another novel IO. In post-IO failure setting where there is a growing unmet need, it is expected that development will gear towards combining a novel IO agent with an existing standard of care or another novel targeted therapy. In such combinations of 2 or more new molecular entity (NME), it is not just adequate to show the superiority of the combination, it may also be required to demonstrate the contribution of the 2NME combination over each single agent. While a full factorial study design might be the most comprehensive design, it may not be always feasible because of larger sample size or absence of single agent activity. Multi-arm adaptive designs involving testing of hypotheses of multiple NME arms over multiple stages and dropping of ineffective NMEs need to be considered. Statistical considerations related to hypothesis testing, control of type 1 error, adequate power for all the hypotheses, targeting meaningful treatment effect, and alpha allocation using graphical gate-keeping procedure play a key role in development of the 2 or more NME designs.