Biologics are widely used but expensive medicinal products because significant costs are needed for the sophisticated and state-of-the-art technologies and facilities necessary for the manufacturing processes, compared to chemical drugs with low molecular weight. Biosimilars are expected to be one of the solutions to reduce healthcare costs and improve patient access to medical treatments. Due to their complicated high-order structures, biologics are fundamentally different from generic drugs in terms of difficulties in verifying the full comparability to the brand-name biopharmaceutical with physicochemical analysis data at the manufacturing stage. Essentially, regulations in ICH regions require nonclinical and clinical studies to demonstrate the comparability of quality, safety and efficacy to the brand-name biopharmaceutical for marketing approval. Our research was conducted to reveal the key factors in the data-package strategy for marketing authorization and to contribute to the establishment of optimized biosimilar development following patent expirations of best-seller biologics after 2015. Comparing data of each low molecular biosimilar product approved in Japan; i.e. somatropin, epoetin (EPO), granulocyte-colony stimulating factor (G-CSF), and insulin, this research analyzed data-packages, and identified each development strategy and the impact of regulatory guidelines released by PMDA, FDA, and EMA in chronological order. Cross-sectional comparison revealed the contrast between data-packages of somatropin and EPO, both of which were developed prior to the release of regulations for biosimilar (follow-on-biologics) in Japan. EPO has almost the same data package as a new active ingredient, while somatropin has a minimal and reduced data-package relatively similar to generic drugs. Somatropin was developed when EMA guidelines for somatropin biosimilars was open and could be referred by the applicant. It is though that the difference in those applicants' strategies reflects the fact that somatropin is a relatively small molecular biologics and does not have complicated structure or glycosilations which could affect the biological activity. In contrast, all 3 filgrastim biosimilars and the insulin glargine biosimilar took full advantage of the regulations for biosimilars in Japan. However, the data-packages are characteristically different among the 3 filgrastim biosimilars, attributable to the level of impurity and the availability of supportive safety/efficacy data from the clinical studies conducted overseas. Significantly, the insulin glargine biosimilar still has a minimal nonclinical data-package similar to generic drugs, and has succeeded with the quite efficient global development strategy in terms of the shorter development period until approvals in major biosimilar markets within ICH regions; namely the EU and Japan. In conclusion, the comparative analysis of 6 biosimilars indicates the critical factors required for planning an overall development strategy in the future as follows: (1) difficulty of identification of impurity profiles by physicochemical analyses and control at the manufacturing stage, (2) estimation of nonclinical data-package for appropriate assessment to mitigate risks in advance of clinical development, (3) selection of the appropriate endpoint of clinical studies including surrogate markers and the rationale for the extrapolation to other approved indications, and (4) utilizing results of overseas clinical studies as reference data and/or global clinical trials.
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