A Bayesian adaptive randomized phase II multicenter trial of bevacizumab with or without vorinostat in adults with

Vinay K Puduvalli1, Jing Wu2, Ying Yuan3

  • 1Division of Neuro-Oncoology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.

Neuro-Oncology
|March 14, 2020
PubMed
Abstract

Insights

Vorinostat did not improve outcomes for recurrent glioblastoma patients when combined with bevacizumab. This study tested a novel Bayesian adaptive trial design for brain tumor research.

Area of Science:

  • Neuro-oncology
  • Clinical trial design
  • Pharmacological resistance

Background:

  • Bevacizumab shows activity in recurrent glioblastoma (GBM), but resistance often leads to tumor recurrence.
  • Vorinostat, a histone deacetylase (HDAC) inhibitor, has anti-angiogenic properties that might overcome bevacizumab resistance.

Purpose of the Study:

  • To investigate if vorinostat can prevent acquired resistance to bevacizumab in patients with recurrent GBM.
  • To evaluate the efficacy and safety of combining bevacizumab with vorinostat compared to bevacizumab alone.

Main Methods:

  • A multicenter phase II trial employed a Bayesian adaptive design with randomization.
  • Patients with recurrent GBM received either bevacizumab alone or bevacizumab plus vorinostat.
  • Primary endpoint was progression-free survival (PFS); secondary endpoints included overall survival (OS) and clinical outcomes.

Main Results:

  • No significant difference in median PFS (3.7 vs 3.9 months) or median OS (7.8 vs 9.3 months) was observed between the two arms.
  • Clinical benefit was similar between the bevacizumab monotherapy and combination therapy groups.
  • Common grade ≥3 toxicities included hypertension and infections.

Conclusions:

  • Combining bevacizumab with vorinostat did not improve PFS, OS, or clinical benefit in recurrent GBM.
  • The study successfully demonstrated the feasibility of a complex Bayesian adaptive design in a multicenter brain tumor trial.

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