Revumenib citrate is under clinical development by Syndax Pharmaceuticals and currently in Pre-Registration for Relapsed Acute Myeloid Leukemia. According to GlobalData, Pre-Registration drugs for Relapsed Acute Myeloid Leukemia have a 71% phase transition success rate (PTSR) indication benchmark for progressing into Marketed. GlobalData’s report assesses how Revumenib citrate’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.
Revumenib citrate overview
Syndax Pharmaceuticals overview
Syndax Pharmaceuticals (Syndax) is a biopharmaceutical company that discovers, develops and commercializes therapies for multiple cancer indications. The company’s product portfolio includes SNDX-5613, a novel orally menin-MLL1 inhibitor used for the treatment of MLLr or mNPM1 acute leukemias; and SNDX-6352 (Axatilimab), a colony stimulating factor 1 receptor (CSF-1R) to treat chronic graft versus host disease (cGVHD). It is also evaluating entinostat (SNDX-275), a class I HDAC inhibitor against multiple solid tumors. Syndax product candidate are also used for the treatment of non-small cell lung cancer and melanoma, ovarian cancer and other indications. Syndax is headquartered in Waltham, Massachusetts, the US.
For a complete picture of Revumenib citrate’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.
