Statistical controversies in clinical research: early-phase adaptive design for combination immunotherapies

Ann Oncol. 2017 Apr 1;28(4):696-701. doi: 10.1093/annonc/mdw681.

Abstract

Background: In recent years, investigators have asserted that the 3 + 3 design lacks flexibility, making its use in modern early-phase trial settings, such as combinations and/or biological agents, inefficient. More innovative approaches are required to address contemporary research questions, such as those posed in trials involving immunotherapies.

Design: We describe the implementation of an adaptive design for identifying an optimal treatment regimen, defined by low toxicity and high immune response, in an early-phase trial of a melanoma helper peptide vaccine plus novel adjuvant combinations.

Results: Operating characteristics demonstrate the ability of the method to effectively recommend optimal regimens in a high percentage of trials with reasonable sample sizes.

Conclusions: The proposed design is a practical, early-phase, adaptive method for use with combined immunotherapy regimens. This design can be applied more broadly to early-phase combination studies, as it was used in an ongoing study of two small molecule inhibitors in relapsed/refractory mantle cell lymphoma.

Keywords: clinical trials; combination; early-phase; immunotherapy; melanoma.

Publication types

  • Clinical Trial

MeSH terms

  • Adjuvants, Immunologic / therapeutic use
  • Antigens, Neoplasm / therapeutic use
  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use
  • Biomedical Research / methods*
  • Cancer Vaccines / therapeutic use*
  • Humans
  • Melanoma / therapy*
  • Research Design
  • Statistics as Topic*

Substances

  • Adjuvants, Immunologic
  • Antigens, Neoplasm
  • Cancer Vaccines