IMM-47 is under clinical development by ImmuneOnco Biopharmaceuticals (Shanghai) and currently in Phase I for Transitional Cell Cancer (Urothelial Cell Cancer). According to GlobalData, Phase I drugs for Transitional Cell Cancer (Urothelial Cell Cancer) have an 82% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how IMM-47’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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Premium Insights Likelihood of Approval and Phase Transition Success Rate Model - IMM-47 in Transitional Cell Cancer (Urothelial Cell Cancer)

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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.

IMM-47 overview

IMM-47 is under development for the treatment of solid tumors including ovarian cancer, esophageal cancer, breast cancer, lung cancer, colorectal cancer, hepatocellular cancer, pancreatic cancer, urothelial cancer, prostate cancer, and head and neck cancers. It is a monoclonal antibody (mAb) and acts by targeting CD24. It is administered through intravenous route.

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ImmuneOnco Biopharmaceuticals (Shanghai) overview

ImmuneOnco Biopharmaceuticals (Shanghai) is an early stage biopharmaceutical company, engaged in the production and commercialization of innovative cancer immunotherapy products with the aim of reversing cancer cell-induced immune inhibition and actively eradicating cancer cells. The company is headquartered in Shanghai, China.

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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.