Quality risk management and data integrity in R&D laboratories supporting CMC lifecycle of biological products.

Abstract

The development of pharmaceutical products is the critical bridge that moves a potential new medicine from academic discovery to applied treatment of patients. It translates an idea for a new drug to bench-level research on how it can be manufactured, formulated, characterized and controlled for use in non-clinical and early clinical trials. From pre-clinical R&D discovery work through the commercial launch, substantial R&D CMC data is generated to develop and optimize cGMP manufacturing and testing operations, while also supporting product comparability, elucidating product / impurity structures, assessing critical quality attributes, developing the drug delivery mode, and developing the product formulation for long-term stability. Significant R&D CMC work continues post-approval to support continuous improvement and market expansion of the commercial product. These activities are crucial elements of Product Lifecycle Management, and taken together, they comprise Pharmaceutical Quality or Chemistry, Manufacturing and Controls (CMC). The objective of this paper is to mitigate the regulatory ambiguity of R&D quality systems with practical, risk-based examples and recommendations when conducting supportive CMC studies for biological products. Making sound strategic CMC decisions under any circumstances assumes data from R&D studies are reliable, traceable, and complete. While there are specific regulatory guidelines on phase-appropriate cGMP activities, none exist for quality practices in R&D CMC laboratories conducting non-cGMP studies. Hindsight is not the time to discover that R&D studies lack key elements that would otherwise have allowed the data to be directly presented to regulators, if needed. There is a strong prospective business interest in protecting considerable investments made for CMC R&D studies. Therefore, establishment of a robust and stage-appropriate R&D laboratory quality system is essential for companies seeking to capitalize on prior knowledge, protect investments, and be prepared for accelerated approval pathways.