U-87 is under clinical development by Shanghai Unicar-Therapy Bio-Medicine Technology and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how U-87’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.

U-87 overview

U-87 is under development for the treatment of solid tumor, pancreatic cancer, lung cancer, triple-negative breast cancer and unspecified cancer. The therapeutic candidate comprises of T cells genetically modified to express chimeric antigen receptors (CAR) targeting tumor associated antigens. It is being developed based on siRNA Mediated Acquired Reprogramming Technology (SMART) platform and Multi-dimensional Ab Druggable Discovery (MADDS) technology platform. It is administered through intratumoral route.

Shanghai Unicar-Therapy Bio-Medicine Technology overview

Shanghai Unicar-Therapy Bio-Medicine Technology., is a pharmaceutical company and a tumor immunotherapy technology developer. The company is headquartered China.

For a complete picture of U-87’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.