Literature DB >> 32449439

Benchmarking biopharmaceutical process development and manufacturing cost contributions to R&D.

Suzanne S Farid1, Max Baron1, Christos Stamatis1, Wenhao Nie1, Jon Coffman2.   

Abstract

This study aims to benchmark and analyze the process development and manufacturing costs across the biopharmaceutical drug development cycle and their contribution to overall research and development (R&D) costs. This was achieved with a biopharmaceutical drug development lifecycle cost model that captured the costs, durations, risks and interdependencies of the clinical, process development and manufacturing activities. The budgets needed for process development and manufacturing at each phase of development to ensure a market success each year were estimated. The impact of different clinical success rate profiles on the process development and manufacturing costs at each stage was investigated, with a particular focus on monoclonal antibodies. To ensure a market success each year with an overall clinical success rate (Phase I to approval) of ~12%, the model predicted that a biopharmaceutical company needs to allocate process development and manufacturing budgets in the order of ~$60 M for pre-clinical to Phase II material preparation and ~$70 M for Phase III to regulatory review material preparation. For lower overall clinical success rates of ~4%, which are more indicative of diseases such as Alzheimer's, these values increase to ~$190 M for early-phase and ~$140 Mfor late-phase material preparation; hence, the costs increase 2.5 fold. The costs for process development and manufacturing per market success were predicted to represent 13-17% of the R&D budget from pre-clinical trials to approval. The results of this quantitative structured cost study can be used to aid decision-making during portfolio management and budget planning procedures in biopharmaceutical development.

Entities:  

Keywords:  Process development; biopharmaceutical; chemistry, manufacturing and controls; clinical success rates; drug development cycle; manufacturing costs; phase transition rates

Year:  2020        PMID: 32449439      PMCID: PMC7531566          DOI: 10.1080/19420862.2020.1754999

Source DB:  PubMed          Journal:  MAbs        ISSN: 1942-0862            Impact factor:   5.857


  21 in total

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5.  Probabilities of success for antibody therapeutics.

Authors:  Janice M Reichert
Journal:  MAbs       Date:  2009-07-18       Impact factor: 5.857

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Review 8.  In pursuit of the optimal fed-batch process for monoclonal antibody production.

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9.  Alzheimer's disease drug-development pipeline: few candidates, frequent failures.

Authors:  Jeffrey L Cummings; Travis Morstorf; Kate Zhong
Journal:  Alzheimers Res Ther       Date:  2014-07-03       Impact factor: 6.982

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Journal:  Molecules       Date:  2021-01-22       Impact factor: 4.411

4.  Optimizing biomedical discoveries as an engine of culture change in an academic medical center.

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5.  Current situation and future development of the biopharmaceutical industry in China: A mixed-method study.

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Journal:  Front Pharmacol       Date:  2022-08-22       Impact factor: 5.988

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  6 in total

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