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Modeling Chemotherapy Resistant Leukemia In Vitro
Published on: February 9, 2016
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.
Purpose:
Pharmaceutical development involves substantial financial risk. This risk, rising development costs, and the promotion of continued research and development have been cited as major drivers in the progressive increase in drug prices. Currently, cost-effective analyses are being used to determine the value of treatment. However, cost-effective analyses practically function as a threshold for value and do not directly address the rationale for drug prices. We set out to create a functional model for industry price decisions and clarify the minimum acceptable profitability of new drugs.
Methods:
Assuming that industry should only invest in profitable ventures, we employed a linear cost-volume-profit breakeven analysis to equate initial capital investment and risk and post-drug-approval profits, where drug development represents the bulk of investment. A Markov decision analysis model was also used to define the relationships between investment events risk. A systematic literature search was performed to determine event probabilities, clinical trial costs, and total expenses as inputs into the model. Disease-specific inputs, current market size across regions, and lengths of treatment for cancer types were also included.
Results:
With development of single novel chemotherapies costing from $802 to $1,042 million (2002 US dollars), pharmaceutical profits should range from $4.3 to $5.2 billion, with an expected rate of return on investment of 11% annually. However, diversification across cancer types for chemotherapy can reduce the minimum required profit to less than $3 billion. For optimal diversification, industry should study four tumor types per drug; however, nonprofit organizations could tolerate eight parallel development tracks to minimize the risk of development failure. Assuming that pharmaceutical companies hold exclusive rights for drug sales for only 5 years after market approval, the minimum required profit per drug per month per patient ranges from $294 for end-stage lung cancer to $3,231 for end-stage renal cell carcinoma.
Conclusion:
Pharmaceutical development in oncology is costly, with substantial risk, but is also highly profitable. Minimum acceptable profits per drug per month of treatment per patient vary with prevalence of disease, but they should be less than $5,000 per month of treatment in the developed world. Minimum acceptable profits may be lower for treatments with additional efficacy in the earlier stages of a tumor type. However, this type of event could not be statistically modeled.
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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