Muzastotug is under clinical development by Adagene Suzhou and currently in Phase II for Endometrial Cancer. According to GlobalData, Phase II drugs for Endometrial Cancer have a 22% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Muzastotug’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.
Muzastotug overview
Adagene Suzhou overview
Adagene Suzhou (Adagene) is a biotechnology company which develops immune-oncology antibodies for the treatment of cancer. It is investigating ADG106, an agonist monoclonal antibody (mAb) to treat non-Hodgkin lymphoma and solid tumor. The company utilizes SAFEbody, a proprietary antibody masking technology which is activated only in disease tissues further reducing the spread of disease to the entire body and enhancing the therapeutic window for antibodies; and dynamic precision library (DPL) platform to advance antibody discovery. Adagene was funded by GP Healthcare Capital, Eight Roads Ventures, F-Prime Capital Partners, General Atlantic and other companies. The company has operations in San Francisco, California, the US. Adagene is headquartered in Suzhou, Jiangsu, China.
For a complete picture of Muzastotug’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.
