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Method for Novel Anti-Cancer Drug Development using Tumor Explants of Surgical Specimens
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Cancer drug development: The missing links.

Ajaikumar B Kunnumakkara1, Devivasha Bordoloi1, Bethsebie Lalduhsaki Sailo1

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Summary
This summary is machine-generated.

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.

Keywords:
Cancerclinicalcostdrugspatient survivalpre-clinical

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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.