Prevalence and utility of pharmacokinetic data in preclinical studies of mRNA cancer vaccines

Abstract

In this brief report, we provide insights into current practices in preclinical messenger RNA (mRNA) cancer vaccine characterization. To enable a more automated and thorough survey of mRNA cancer vaccine data in the literature, we implemented natural language processing to mine abstracts from PubMed followed by annotation of the selected articles. Through this analysis we identified a gap in the literature wherein pharmacokinetic (PK) characterization is not reported in mRNA cancer vaccine-focused articles. As a result, the field is unable to evaluate and discuss cross-study PK and pharmacodynamic (PD) relationships nor the translation of these relationships from preclinical species to humans. As the field of mRNA cancer vaccines is rapidly evolving, there is value in expanding our understanding of preclinical PK/PD relationships and how they relate to PK/PD in humans.