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-10188 overview
BGB-10188 is under development for the treatment of relapsed/refractory chronic lymphocytic leukemia, small lymphocytic lymphoma, follicular lymphoma, marginal zone lymphoma, mantle cell lymphoma, diffuse large B cell lymphoma, advanced solid tumors including non-small cell lung cancer, small-cell lung cancer metastatic melanoma, head and neck squamous cell cancer, hepatocellular carcinoma, gastric or gastroesophageal junction carcinoma, nasopharyngeal carcinoma, renal cell carcinoma, cervical cancer, triple-negative breast cancer, ovarian cancer, endometrial carcinoma, esophageal cancer, urothelial carcinoma, fallopian tube cancer, peritoneal cancer and epithelial ovarian cancer. It is administered by the oral route as a capsule. It acts by targeting phosphatidylinositol 3-kinase delta (PIK3D).
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-10188’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.
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