Cancer drug development: The missing links

Ajaikumar B Kunnumakkara1, Devivasha Bordoloi1, Bethsebie Lalduhsaki Sailo1

  • 11 Cancer Biology Laboratory, DBT-AIST International Laboratory for Advanced Biomedicine (DAILAB), Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.

Abstract

Insights

Most cancer drugs fail in clinical trials because pre-clinical studies don't adequately predict human responses. This leads to high development costs and necessitates testing drugs in large patient groups to ensure efficacy.

Area of Science:

  • Drug development
  • Clinical trials
  • Pharmaceutical research

Background:

  • The success rate for drugs entering phase 1 clinical trials is notably low.
  • Pre-clinical studies may not accurately predict efficacy for human diseases, contributing to high failure rates.
  • The cost of research and development for an average FDA-approved drug has significantly increased over time.

Purpose of the Study:

  • To investigate the reasons behind the low success rate of cancer drugs in clinical trials.
  • To understand the inadequacy of pre-clinical studies in predicting drug response in humans.
  • To analyze the escalating costs of drug development and their potential impact on drug pricing and testing.

Main Methods:

  • Analysis of historical data on drug development costs (e.g., Tufts Center for the Study of Drug Development data from 1975 to 2005).
  • Examination of the relationship between drug development expenses, drug pricing, and market sales.
  • Review of factors contributing to high drug development costs, including patient response variability.

Main Results:

  • The cost of developing an average FDA-approved drug increased from $100 million in 1975 to $1.3 billion by 2005.
  • There is no clear correlation between the high cost of drug development and the actual sales revenue of the drug.
  • Patient response variability is a significant factor contributing to the need for extensive and costly clinical trials.

Conclusions:

  • The high failure rate of cancer drugs suggests a critical gap between pre-clinical research and human disease response.
  • Escalating drug development costs, driven partly by the need to test in large patient populations due to variable responses, contribute to higher product prices.
  • Further research is needed to improve pre-clinical models and identify patient subgroups likely to respond to specific drugs, thereby increasing success rates and potentially reducing costs.

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