Zeteletinib adipate is under clinical development by Boston Pharmaceuticals and currently in Phase I for Medullary Thyroid Cancer. According to GlobalData, Phase I drugs for Medullary Thyroid Cancer have a 91% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how Zeteletinib adipate’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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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.
Zeteletinib adipate overview
Zeteletinib (BOS-172738, DS-5010) is under development for the treatment of non-small cell lung cancer and medullary thyroid cancer. The drug candidate is administered through oral route in the form of capsule. The drug candidate acts by targeting RET (ret proto-oncogene) kinase.
Boston Pharmaceuticals overview
Boston Pharmaceuticals (Boston Pharma) is a clinical-stage biopharmaceutical company. It develops highly engineered targeted therapies for serious liver diseases. The company’s pipeline products include BOS-580 an investigational fusion protein based on human IgG and FGF21 treats metabolic dysfunction-associated steatohepatitis (MASH); BOS-342 is an investigational bispecific antibody directed against glypican-3 (GPC3) and 4-1BB (CD137) bispecific antibody that targets hepatocellular carcinoma (HC). Boston Pharma is headquartered in Cambridge, Massachusetts, the US.
For a complete picture of Zeteletinib adipate’s drug-specific PTSR and LoA scores, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
