In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development. Modeling based approaches were shown to... Show moreIn this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development. Modeling based approaches were shown to be useful to understand the mechanism of action and deconvolve the complexities of novel biotherapeutic modalities being used to treat cancer, including monospecific and bispecific monoclonal antibodies and antibody drug conjugates. Several key observations and learnings were made. For example, modeling was shown to be a useful method to reduce animal experimentation, by enabling in vitro to in vivo correlations or use of simulation to replace experimental methodologies. Mechanism based modeling and simulation was found to be a useful means to translate from preclinical studies to the clinic to ensure progression of the best drug to clinical trials. These models could then be used to optimize design of clinical studies from selection of starting doses to recommended efficacious doses for pivotal trials. Modeling was shown to be beneficial to understand variability in the clinic and to identify factors impacting drug response in individual patients, paving the way for precision medicine strategies, informing clinical diagnostics, biomarkers, and doses for different oncology indications. Show less
Therapeutic proteins have become very successful in the treatment of various chronic and life-threatening diseases. However, besides their benefits, therapeutic proteins seem to have a common... Show moreTherapeutic proteins have become very successful in the treatment of various chronic and life-threatening diseases. However, besides their benefits, therapeutic proteins seem to have a common problem - the response of a patient’s immune system against the protein. This means that the immune system of the patient actively removes the drug from the body, thereby potentially decreasing or reversing the effect of the therapy. By now there is strong consensus that damaged and aggregated proteins are important risk factors. Protein aggregates are, due to their heterogeneity and often low quantity, challanging to characterize. Further, there is a large academic interest in understanding the mechanisms of aggregation and the role of non-proteinaceous particles in the process of protein aggregation and unwanted immunogenicity in order to design more effective and safe protein-based medicines. This PhD thesis supported that research effort by developing and improving analytical methodologies to detect the size, quantity and other properties of protein aggregates and particles, especially in the relevant nano- and micrometer size range. These techniques were then applied to study a so far unknown nanoparticulate impurity in pharmaceutical-grade sugars. Further, the results shown in this thesis revealed that these nanoparticulate impurities pose a threat to protein stability. Show less
