Concurrent dose-finding of a novel cancer drug with and without a second agent

Nolan A Wages1,2, Ramy R Saleh3, Thomas M Braun4

  • 1Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.

Abstract

Insights

This study introduces an adaptive clinical trial design using a continual reassessment method shift model to determine the maximum tolerated dose (MTD) for Agent A, a novel cancer therapy, alone and with anti-PD-1 agents.

Area of Science:

  • Oncology
  • Clinical Trial Design
  • Pharmacology

Background:

  • Early-phase oncology trials face complex research questions requiring innovative designs.
  • Evaluating novel agents like hematopoietic progenitor kinase-1 inhibitors (Agent A) necessitates tailored study strategies.
  • Combination therapies, such as Agent A with anti-PD-1 agents, are increasingly important in advanced malignancies.

Purpose of the Study:

  • To propose and evaluate a novel Phase I clinical trial design.
  • To concurrently determine the maximum tolerated dose (MTD) of Agent A as a single agent and in combination with an anti-PD-1 agent.
  • To demonstrate the flexibility of adaptive designs in meeting contemporary oncology study objectives.

Main Methods:

  • Application of a continual reassessment method shift model for dose escalation.
  • Concurrent evaluation of Agent A monotherapy and combination therapy with an anti-PD-1 agent.
  • Simulation study to assess the operating characteristics of the proposed adaptive design.

Main Results:

  • The continual reassessment method shift model was successfully applied to the proposed Phase I trial design.
  • Simulations demonstrated the feasibility and operating characteristics of the adaptive design.
  • The design allows for concurrent dose determination of Agent A with and without anti-PD-1 therapy.

Conclusions:

  • Adaptive designs offer flexibility for complex oncology trial objectives.
  • The described approach is applicable to other concurrent monotherapy and combination studies with binary safety endpoints.
  • This work highlights novel design applications to facilitate future innovative trial implementations.

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