Elenestinib is under clinical development by Blueprint Medicines and currently in Phase III for Systemic Mastocytosis. According to GlobalData, Phase III drugs for Systemic Mastocytosis have a 100% phase transition success rate (PTSR) indication benchmark for progressing into Pre-Registration. GlobalData’s report assesses how Elenestinib’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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.

Elenestinib overview

BLU-263 is under development for the treatment of indolent systemic mastocytosis. It is administered by oral route. The drug candidate acts by targeting proto oncogene c Kit (KIT).

Blueprint Medicines overview

Blueprint Medicines, formerly Hoyle Pharmaceuticals, is precision therapy company that inventing medicines for people with cancer and blood disorders. The company product pipeline includes AYVAKIT (avapritinib) medicine to treat gastrointestinal stromal tumor (GIST) and GAVRETO (pralsetinib) against non-small cell lung cancer in adults, BLU-263 targeting indolent systemic mastocytosis. It also offer GAVRETO, BLU-701, BLU-945, BLU-451, BLU-222 and BLU-852. Blueprint Medicines is advancing pralsetinib inhibitor against RET (Ret Proto-Oncogene) modified medullary thyroid carcinoma and other solid tumors and avapritinib to treat advanced systemic mastocytosis. The company utilizes its discover which combines bioinformatics and drug design capabilities to develop its medicines. Blueprint Medicines is headquartered in Cambridge, Massachusetts, the US.

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

This content was updated on 2 September 2023

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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.