Effectiveness of Immune Checkpoint Inhibitors in Various Tumor Types Treated by Low, Per-Weight, and Conventional

Amol Patel1, Vivek Hande2, Kaushik Mr1

  • 1Department of Medical Oncology, Indian Naval Hospital Ship, Asvini, Mumbai, India.

JCO Global Oncology
|January 5, 2024
PubMed
Abstract

Insights

Lowering doses of immune checkpoint inhibitors (ICIs) in India showed acceptable outcomes, improving accessibility for cancer patients. This approach offers a viable strategy for low- and middle-income countries.

Area of Science:

  • Oncology
  • Pharmacoeconomics
  • Clinical Pharmacology

Background:

  • Immune checkpoint inhibitors (ICIs) are crucial cancer therapies but their high cost limits accessibility, particularly in low- and middle-income countries.
  • Previous studies suggest efficacy with lower ICI doses than those approved in clinical trials.

Purpose of the Study:

  • To evaluate the real-world use and effectiveness of immune checkpoint inhibitors (ICIs) in Indian cancer patients.
  • To assess outcomes associated with conventional, per-body weight, and low-dose ICI regimens.

Main Methods:

  • A retrospective analysis of 100 consecutive cancer patients receiving at least one dose of an ICI at a tertiary care hospital in Mumbai, India.
  • Dosing strategies (conventional, per-body weight, low-dose) and clinical outcomes including overall response rate (ORR), overall survival (OS), and progression-free survival were analyzed over a 3-year period.

Main Results:

  • Patients received ICIs at conventional doses (n=25), lower doses per body weight (n=29), or low-dose treatment (n=46).
  • The overall response rate (ORR) did not differ significantly across dosing groups, though comparisons were confounded by various factors.
  • The median overall survival (OS) was 6.8 months.

Conclusions:

  • Per-body weight and lower dosing of ICIs demonstrate acceptable clinical outcomes in this patient cohort.
  • Reduced dosing strategies for ICIs can enhance patient access and facilitate timely treatment delivery in resource-limited settings.

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