Surufatinib is under clinical development by Hutchison MediPharma and currently in Phase III for Metastatic Pancreatic Cancer. According to GlobalData, Phase III drugs for Metastatic Pancreatic Cancer have a 29% phase transition success rate (PTSR) indication benchmark for progressing into Pre-Registration. GlobalData’s report assesses how Surufatinib’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.
Surufatinib overview
Hutchison MediPharma overview
Hutchison MediPharma (HMPL) carries out discovery, development and commercialization of therapeutics in oncology and autoimmune diseases. The company’s products include savolitinib, fruquintinib, sulfatinib, HMPL-523, epitinib, theliatinib, HMPL-453, HMPL-689 and HMPL-004. It develops drug discovery technologies in molecular and cell biology, high throughput screening, genomics and informatics to support research and development projects. HMPL’s research and development programs comprise gene-targeted and cell-based screening assays, ligand-dependent screening assays and signal transduction pathway screening assays. The company’s products serve in the fields of medicinal chemistry, pharmacology, oncology, cardiovascular and respiratory diseases, and antiviral treatments. HMPL is headquartered in Pudong, China.
For a complete picture of Surufatinib’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.
