EXT-608 is under clinical development by Extend Biosciences and currently in Phase II for Hypoparathyroidism. According to GlobalData, Phase II drugs for Hypoparathyroidism have a 60% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how EXT-608’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.
EXT-608 overview
EXT-607 is under development for the treatment of hypoparathyroidism. It is administered subcutaneously and acts by targeting parathyroid hormone 1 and 2 receptor. The drug candidate is a long-acting version of PTH (1-34) and is developed using D-VITylation platform technology that improves the pharmacokinetic properties of peptides and proteins by fusing with Vitamin-D.
Extend Biosciences overview
Extend Biosciences is a clinical stage biotechnology company that focuses on the development of a novel drug delivery platform technology. The company’s pipeline products include EXT608 which treats hypoparathyroidism and EXT418 which targets diabetes-induced peripheral neuropathy and cachexia. Extend Biosciences’ D-VITylation platform technology improves the pharmacokinetic properties of peptide- and protein-based therapeutics. The company partners to assist in the discovery, development and commercialization of superior therapeutic peptides and proteins. Biosciences is headquartered in Newton, Massachusetts, the US.
For a complete picture of EXT-608’s drug-specific PTSR and LoA scores, buy the report here.
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GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.
