Predicting Successful Phase Advancement and Regulatory Approval in Multiple Myeloma From Phase I Overall Response

Ehsan Malek1, Caner Saygin1, Rebecca Ye1

  • 1Ehsan Malek, Fahrettin Covut, Neal J. Meropol, and Marcos De Lima, University Hospitals Seidman Cancer Center; Ehsan Malek, Byung-Gyu Kim, Fahrettin Covut, Neal J. Meropol, and Marcos De Lima, Case Western Reserve University Case Comprehensive Cancer Center; Caner Saygin, Taussig Cancer Institute; Rebecca Ye, Case Western Reserve University, Cleveland; Jeffrey Welge, University of Cincinnati; and James J. Driscoll, The Vontz Center for Molecular Studies, University of Cincinnati College of Medicine, Cincinnati, OH.

Abstract

Insights

Higher overall response rates in early phase trials for antimyeloma agents predict advancement to phase II and US Food and Drug Administration approval, improving drug development efficiency.

Area of Science:

  • Oncology
  • Clinical Pharmacology
  • Drug Development

Background:

  • Oncology drug development is costly, lengthy, and often fails.
  • Early phase trials are critical for assessing investigational agents.

Purpose of the Study:

  • To determine if therapeutic benefit in phase I trials correlates with phase II advancement and regulatory approval for antimyeloma agents.
  • To analyze factors influencing the success of early phase oncology drug development.

Main Methods:

  • Analysis of 74 phase I trials (n=2,408) for multiple myeloma from 2004-2015.
  • Assessment of drug safety, efficacy (overall response rate - ORR), phase advancement, and US Food and Drug Administration (FDA) approval.

Main Results:

  • Trials advancing to phase II had a higher median ORR (19%) than those that did not (4%).
  • FDA-approved agents showed higher median ORRs (23%) compared to non-approved agents (8%).
  • The number of phase I trials increased, but success rates did not; many patients appeared undertreated.

Conclusions:

  • Higher ORRs in phase I trials predict successful phase II advancement and FDA approval.
  • Optimizing phase I trial design to maximize efficacy can enhance drug development success and cost-effectiveness.

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