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评估生物类似药开发项目:一个利用净现值的分析框架

Evaluating Biosimilar Development Projects: An Analytical Framework Utilizing Net Present Value.

作者信息

Ranbhor Ranjit, Kulkarni Priyanka

机构信息

Pergament and Cepeda LLC, Florham Park, NJ, 07932, USA.

Feliciano School of Business, Montclair State University, Montclair, NJ, 07043, USA.

出版信息

Biologics. 2025 Mar 25;19:125-135. doi: 10.2147/BTT.S514767. eCollection 2025.

Abstract

BACKGROUND

The increasing prominence of biosimilars in healthcare delivery has created the need for robust financial evaluation methods to assess development opportunities. Unlike traditional generic drugs, biosimilars require substantial investments ($100-250 million) and longer development timelines (6-8 years), necessitating sophisticated evaluation approaches.

METHODS

This study presents a comprehensive Net Present Value (NPV) analysis framework specifically designed for biosimilar development projects. Our framework incorporates key technical, regulatory, and commercial factors through a risk-adjusted NPV methodology, validated through case studies of three monoclonal antibody biosimilar development programs.

RESULTS

The analysis reveals that successful projects require minimum peak sales of $250-300 million to achieve a positive NPV, with market share and manufacturing efficiency serving as critical value drivers. Cost analysis shows that clinical development represents the largest share (57%) of total development costs.

CONCLUSION

The framework demonstrates that early market entry, manufacturing optimization, and market share achievement are key success factors, whereas technical complexity and competitive intensity significantly influence risk-adjusted returns.

摘要

背景

生物类似药在医疗保健服务中的日益突出,使得需要强大的财务评估方法来评估其开发机会。与传统仿制药不同,生物类似药需要大量投资(1亿至2.5亿美元)和更长的开发时间线(6至8年),因此需要复杂的评估方法。

方法

本研究提出了一个专门为生物类似药开发项目设计的综合净现值(NPV)分析框架。我们的框架通过风险调整后的NPV方法纳入了关键的技术、监管和商业因素,并通过三个单克隆抗体生物类似药开发项目的案例研究进行了验证。

结果

分析表明,成功的项目需要至少2.5亿至3亿美元的峰值销售额才能实现正的净现值,市场份额和生产效率是关键的价值驱动因素。成本分析表明,临床开发占总开发成本的最大份额(57%)。

结论

该框架表明,早期进入市场、生产优化和实现市场份额是关键的成功因素,而技术复杂性和竞争强度则显著影响风险调整后的回报。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f6/11955401/e396889d6a80/BTT-19-125-g0001.jpg

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