Icovamenib is under clinical development by Biomea Fusion and currently in Phase II for Type 2 Diabetes. According to GlobalData, Phase II drugs for Type 2 Diabetes have a 37% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Icovamenib’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.

Icovamenib overview

Icovamenib (BMF-219) is under development for the treatment of relapsed and refractory leukemia including mixed-lineage leukemia rearrangement (MLL-r) acute myeloid leukemia, chronic lymphocytic leukemia, acute lymphoblastic leukemia, relapsed and refractory chronic lymphocytic leukemia, NPM1 mutant acute myeloid leukemia, KRAS mutant solid tumors including colorectal, non-small cell lung cancer, pancreatic ductal adenocarcinoma diffuse large B-cell lymphoma (DLBCL), multiple myeloma, lung and pancreatic tumors. The drug is administered through oral route. It acts by targeting menin. It is under development for type 1/2 diabetes. It is being developed based on  FUSION platform.

Biomea Fusion overview

Biomea Fusion is a precision oncology company dedicated to developing innovative medicines targeting genomically defined alterations in both hematologic and solid cancers. The company is headquartered in Palo Alto, California, the US.

For a complete picture of Icovamenib’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 2024

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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.