BGB-30813 by BeiGene for Head And Neck Squamous Cell Carcinoma (HNSC): Likelihood of Approval

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.

BGB-30813 overview

BGB-30813 is under development for the treatment of metastatic solid tumors including  NSCLC, HNSCC, small cell lung cancer, hepatocellular carcinoma, esophageal cancer, gastric or gastroesophageal carcinoma, nasopharyngeal carcinoma, triple-negative breast cancer, urothelial carcinoma, renal cell carcinoma, cervical cancer, endometrial carcinoma, cutaneous squamous cell carcinoma, melanoma, Merkel cell carcinoma and an unspecified cancer. The drug candidate acts by targeting diacylglycerol kinase zeta (DGK). It is administered through oral route in the form of tablet. 

BeiGene overview

BeiGene is a biotechnology company. It is specialized in the development and commercialization of immuno-oncology medicines to treat cancers. The company offers BRUKINSA, a BTK (Bruton’s tyrosine kinase) inhibitor against mantle cell lymphoma (MCL). BeiGene also provides Zanubrutinib (BGB-3111), a small molecule inhibitor of BTK to treat B cell malignancies; 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, Switzerland, and Italy. BeiGene is headquartered in Beijing, China.

For a complete picture of BGB-30813’s drug-specific PTSR and LoA scores, buy the report here.

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.