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doi: 10.1002/bit.27093
pmid: 31209856
AbstractBy the end of 2017, the Food and Drug Administration had approved a total of 77 therapeutic monoclonal antibodies (mAbs), most of which are still manufactured today. Furthermore, global sales of mAbs topped $90 billion in 2017 and are projected to reach $125 billion by 2020. The mAbs approved for human therapy are mostly produced using Chinese hamster ovary (CHO) cells, which require expensive infrastructure for production and purification. Molecular pharming in plants is an alternative approach with the benefits of lower costs, greater scalability, and intrinsic safety. For some platforms, the production cycle is also much quicker. But do these advantages really stack up in economic terms? Earlier techno‐economic evaluations have focused on specific platforms or processes and have used different methods, making direct comparisons challenging and the overall benefits of molecular pharming difficult to gauge. Here, we present a simplified techno‐economic model for the manufacturing of mAbs, which can be applied to any production platform by focusing on the most important factors that determine the efficiency and cost of bulk drug manufacturing. This model develops economic concepts to identify variables that can be used to achieve cost savings by simultaneously modeling the dynamic costs of upstream production at different scales and the corresponding downstream processing costs for different manufacturing modes (sequential, serial, and continuous). The use of simplified models will help to achieve meaningful comparisons between diverse manufacturing technologies.
techno‐economic analysis, protein manufacturing, therapeutic antibodies, Antibodies, Monoclonal, CHO Cells, Recombinant Proteins, downstream processing, Cricetulus, Animals, upstream production, Biotechnology
techno‐economic analysis, protein manufacturing, therapeutic antibodies, Antibodies, Monoclonal, CHO Cells, Recombinant Proteins, downstream processing, Cricetulus, Animals, upstream production, Biotechnology
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