ASP-2802 is under clinical development by Astellas Pharma and currently in Phase I for Follicular Lymphoma. According to GlobalData, Phase I drugs for Follicular Lymphoma have a 78% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how ASP-2802’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.
ASP-2802 overview
Astellas Pharma overview
Astellas Pharma (Astellas) discovers, develops, manufactures, and commercializes a wide range of pharmaceuticals. The company’s product portfolio comprises marketed products for the treatment of a wide range of urological diseases, cancer, nephrology, infectious diseases, and metabolic diseases, immunodeficiency, and transplantation. The company strives to develop new drugs to address high unmet medical needs with focus on biology and modality. Its pipeline consists of drug candidates for the treatment of urothelial cancer; gastric cancer; gastroesophageal junction cancer; anemia associated with chronic kidney disease (CKD) in dialysis; and acute myeloid leukemia (AML), among others. It operates in the Americas, Australia, Europe, and Asia and Oceania through a network of subsidiaries and affiliates. Astellas is headquartered in Chuo-Ku, Tokyo, Japan.
For a complete picture of ASP-2802’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.
