Surzebiclimab is under clinical development by BeiGene and currently in Phase II for Hypopharyngeal Cancer. According to GlobalData, Phase II drugs for Hypopharyngeal Cancer does not have sufficient historical data to build an indication benchmark PTSR for Phase II. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Surzebiclimab LoA Report. 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.
Surzebiclimab overview
Surzebiclimab (BGBA-425) is under development for the treatment of solid tumors including non-small cell lung carcinoma, renal cell carcinoma and head and neck cancer squamous cell carcinoma, oropharyngeal Cancer, hypopharyngeal cancer, laryngeal Cancer, oral cavity (Mouth) cancer, recurrent head and neck cancer squamous cell carcinoma. The drug candidate is a humanized IgG1 variant monoclonal antibody which acts against T-cell immunoglobulin and mucin domain containing -3 (TIM-3).
BeiGene overview
BeiGene is a biotechnology company. It specializes in the development and commercialization of immuno-oncology medicines to treat cancers. The company offers Zanubrutinib, a small molecule inhibitor to treat various blood cancers and Sonrotoclax, a small molecule Bcl-2 inhibitor for treating chronic lymphocytic leukemia. BeiGene also provides Tislelizumab (BGB-A317), a monoclonal antibody targeting solid tumors and hematologic cancer; and Pamiparib (BGB-290) against solid tumor malignancies. The company has operations in the US, Australia, Germany, Spain, Canada, Switzerland and Italy. BeiGene is headquartered in the Cayman Islands.
For a complete picture of Surzebiclimab’s drug-specific PTSR and LoA scores, buy the report here.
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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.
