ICP-332 is under clinical development by InnoCare Pharma and currently in Phase I for Atopic Dermatitis (Atopic Eczema). According to GlobalData, Phase I drugs for Atopic Dermatitis (Atopic Eczema) have an 86% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how ICP-332’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.
ICP-332 overview
ICP-332 (ICP-330) is under development for the treatment of autoimmune disorders such as psoriasis, inflammatory bowel disease (IBD) systemic lupus erythematosus (SLE), vitiligo and atopic dermatitis. It acts by targeting tyrosine kinase 2 (TYK2). It is administered through oral route.
InnoCare Pharma overview
InnoCare Pharma (InnoCare) is a biopharmaceutical company that discovers and develops novel treatments for cancer and autoimmune diseases. The company’s pipeline products include orelabrutinib and tafasitamab target autoimmune diseases and hemato-oncology indications; Gunagratinib (ICP-192) a novel compound that targets cholangiocarcinoma and urothelial cancer; ICP-033, ICP-189 and ICP-B05 for solid tumors; and Zurletrectinib (ICP-723) treat NTRK fusion-positive cancers. It operates in the US and China. InnoCare is headquartered in Changping, Beijing, China.
For a complete picture of ICP-332’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.
