Nivolumab dose selection: challenges, opportunities, and lessons learned for cancer immunotherapy

Shruti Agrawal1, Yan Feng1, Amit Roy1

  • 1Clinical Pharmacology and Pharmacometrics, Exploratory Clinical and Translational Research, Bristol-Myers Squibb Co., 3551 Lawrenceville Road, Princeton, NJ 08543 USA.

Abstract

Insights

Nivolumab (a programmed death-1 inhibitor) at 3 mg/kg every 2 weeks offers unified dosing across various cancers. This dose selection integrates safety, efficacy, and dose-response data for immuno-oncology agents.

Area of Science:

  • Oncology
  • Immunology
  • Pharmacology

Background:

  • Immuno-oncology (I-O) therapies offer potential for uniform dosing across tumor types.
  • Traditional dose selection for I-O agents may not fully capture overall survival benefits.
  • An integrated approach combining clinical data with dose-response (D-R/E-R) analyses is proposed.

Purpose of the Study:

  • To describe an integrated approach for selecting a monotherapy dose of nivolumab.
  • To determine an optimal and unified dose and schedule for nivolumab across different tumor types.

Main Methods:

  • A phase 1b dose-escalation study of nivolumab (0.1-10 mg/kg Q2W) in 306 patients with advanced malignancies.
  • Quantitative analyses of dose-/exposure-response (D-R/E-R) relationships for pharmacodynamic, safety, and efficacy endpoints.
  • Integration of clinical safety and efficacy data with D-R/E-R analyses.

Main Results:

  • Nivolumab demonstrated a favorable safety profile across doses (0.1-10 mg/kg) and tumor types.
  • Objective response rates (ORRs) showed tumor-specific dose-dependent trends, plateauing at different doses.
  • Peripheral receptor occupancy saturated at doses ≥ 0.3 mg/kg; tumor progression decreased with exposure up to 3 mg/kg Q2W in NSCLC.

Conclusions:

  • Nivolumab monotherapy at 3 mg/kg Q2W provides a unified and validated dosing strategy across tumor types.
  • Integrating D-R/E-R relationships with efficacy and safety data is a rational approach for I-O agent dose selection.
  • This approach supports informed decision-making for immuno-oncology drug development.

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