Wise Investment? Modeling Industry Profitability and Risk of Targeted Chemotherapy for Incurable Solid Cancers

Henry J Conter1, Quincy S C Chu1

  • 1The University of Texas MD Anderson Cancer Center, Houston, TX; and University of Alberta, Edmonton, Alberta, Canada.

Abstract

Insights

Developing new cancer drugs is expensive but profitable. Minimum acceptable profits per patient per month are estimated to be under $5,000, varying by disease prevalence and treatment stage.

Area of Science:

  • Pharmaceutical Development
  • Oncology Drug Pricing
  • Health Economics

Background:

  • Rising drug prices are linked to high development costs and financial risks in pharmaceutical R&D.
  • Current cost-effectiveness analyses assess treatment value but don't explain drug pricing rationale.
  • A need exists for a model to understand industry pricing decisions and minimum acceptable profitability for new drugs.

Purpose of the Study:

  • To develop a functional model for pharmaceutical industry pricing decisions.
  • To clarify the minimum acceptable profitability for new oncology drugs.
  • To analyze the financial risks and returns associated with drug development.

Main Methods:

  • Linear cost-volume-profit breakeven analysis to link investment and profit.
  • Markov decision analysis to model investment risks and event probabilities.
  • Systematic literature search for clinical trial costs, expenses, and disease-specific market data.

Main Results:

  • Novel chemotherapy development costs range from $802M to $1,042M, requiring $4.3B-$5.2B in profits for an 11% ROI.
  • Diversification across four tumor types can lower required profits to under $3B.
  • Minimum required monthly profit per patient ranges from $294 (lung cancer) to $3,231 (renal cell carcinoma).

Conclusions:

  • Oncology drug development is high-risk, high-cost, and highly profitable.
  • Minimum acceptable monthly profits per patient are generally below $5,000 in developed nations.
  • Profits may be lower for treatments showing efficacy in earlier cancer stages, though not statistically modeled.

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