Seamless phase 2/3 oncology trial design with flexible sample size determination

Zhaoyang Teng1, Yuan Tian2, Yi Liu3

  • 1Servier Pharmaceuticals, Boston, Massachusetts, USA.

Statistics in Medicine
|April 28, 2020
PubMed

Insights

This study introduces a flexible sample size determination (SSD) for seamless phase 2/3 oncology trials. This innovative design improves upon fixed SSD by dynamically adjusting sample size, potentially reducing patient numbers and enhancing statistical power for faster drug development.

Area of Science:

  • Clinical Trial Design
  • Oncology Drug Development
  • Biostatistics

Background:

  • Seamless phase 2/3 designs with fixed sample size determination (SSD) are popular in oncology for efficiency.
  • However, fixed SSD can be problematic due to inaccurate treatment effect assumptions early in development.
  • Limited efficacy data at the design stage poses a challenge for conventional fixed SSD.

Purpose of the Study:

  • To propose an innovative seamless phase 2/3 study design with flexible SSD for oncology trials.
  • To address the uncertainty in treatment effect estimations during the early stages of drug development.
  • To offer an alternative to conventional fixed SSD designs by incorporating dynamic sample size adjustments.

Main Methods:

  • The proposed design utilizes a distribution of treatment effects rather than a single assumption.
  • Sample size for the phase 3 portion is determined dynamically based on observed phase 2 data.
  • Practical sample size determination rules for the final analysis are discussed.

Main Results:

  • The flexible SSD design can lead to a reduced sample size compared to conventional fixed SSD.
  • The proposed design may offer improved statistical power.
  • This approach enhances the efficiency of oncology drug development.

Conclusions:

  • The innovative seamless phase 2/3 design with flexible SSD offers advantages over traditional fixed SSD methods.
  • This design is particularly beneficial for aggressive development strategies aiming to expedite patient access to treatments.
  • Dynamic sample size determination improves trial efficiency and reliability in oncology drug development.

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