Costs and Causes of Oncology Drug Attrition With the Example of Insulin-Like Growth Factor-1 Receptor Inhibitors

Valerie Jentzsch1, Leeza Osipenko1,2, Jack W Scannell3,4

  • 1London School of Economics, London, United Kingdom.

JAMA Network Open
|July 28, 2023
PubMed
Abstract

Insights

Oncology drug development is costly, with insulin-like growth factor-1 receptor (IGF-1R) inhibitors failing to gain approval despite significant investment. Better preclinical models and decision-making are crucial to reduce failures and cancer mortality.

Area of Science:

  • Oncology
  • Translational Medicine
  • Drug Development

Background:

  • Oncology drug development is characterized by high costs and failure rates.
  • Translational failure analysis can optimize resource allocation and reduce cancer mortality.

Purpose of the Study:

  • To analyze the expenses and causes of failure in clinical trials for novel oncology drugs, using insulin-like growth factor-1 receptor (IGF-1R) inhibitors as a case study.
  • To evaluate the efficacy of IGF-1R inhibitors in preclinical and clinical settings.

Main Methods:

  • A cross-sectional study identified IGF-1R inhibitors and their clinical trials (2000-2021) via PubMed and ClinicalTrials.gov.
  • Proprietary databases estimated trial expenses, with adjustments for missing data.
  • Preclinical in vivo data were analyzed for tumor growth inhibition percentages.

Main Results:

  • Sixteen IGF-1R inhibitors were studied in 183 clinical trials involving over 12,000 patients; none achieved regulatory approval.
  • Research and development expenses for these trials ranged from $1.6 billion to $2.3 billion.
  • Preclinical data showed mixed activity and poor correlation with advanced metastatic tumor treatment in humans.

Conclusions:

  • Failed oncology drug development results in substantial financial losses, estimated at $50-60 billion annually.
  • Improved target validation and preclinical models are essential to reduce attrition rates.
  • Enhanced decision-making before clinical trials and more appropriate resource utilization can improve cancer mortality outcomes.

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