IBI-346 is under clinical development by Innovent Biologics and currently in Phase I for Refractory Multiple Myeloma. According to GlobalData, Phase I drugs for Refractory Multiple Myeloma have a 78% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how IBI-346’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.
IBI-346 overview
IBI-346 is under development for the treatment of relapsed and refractory multiple myeloma. The therapeutic candidate comprises T cells genetically engineered to express chimeric antigen receptors (CAR). It is administered intravenously and acts by targeting cells expressing claudin 18 (claudin 18.2).
Innovent Biologics overview
Innovent Biologics (Innovent Biologics) is a biopharmaceutical company that carries out the research, development and manufacturing of monoclonal antibodies. It provides products for various diseases such as metabolic, cancer, autoimmune diseases and other therapeutic areas. The company’s oncology products include sintilimab injection, bevacizumab injection, rituximab injection, pemigatinib, olverembatinib, ramucirumab, and others. Its autoimmune drugs are adalimumab injection, IBI-353, IBI-112 and IBI-314, among others. The company’s metabolic and ophthalmology products include IBI-306, IBI-362, IBI-302, IBI-324, IBI-311
For a complete picture of IBI-346’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.
