Entacingene turiparvovec is under clinical development by MeiraGTx and currently in Phase II for Achromatopsia. According to GlobalData, Phase II drugs for Achromatopsia does not have sufficient historical data to build an indication benchmark PTSR for Phase II. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Entacingene turiparvovec LoA Report. 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.
Entacingene turiparvovec overview
AAV-CNGB3 is under development for the treatment of achromatopsia. It is administered through the sub retinal route. The therapeutic candidate uses a recombinant adeno-associated virus vector 2/8 (AAV2/8) expressing a human CNGB3 gene. It is a new molecular entity (NME).
MeiraGTx overview
MeiraGTx is a gene therapy company that develops treatments for ocular, salivary gland and central nervous system diseases. The company’s product pipeline includes AAV-RPGR, AAV-RPE65, AAV-CNGB3, A006, AAV-GAD, AAV-UPF1 and AAV-AQP1. Its pipeline treats X-linked retinitis pigmentosa, gene deficiency, achromatopsia, macular degeneration, parkinson’s disease, amyotrophic lateral sclerosis, radiation-induced xerostomia and ophthalmology diseases. MeiraGTx is developing riboswitch inducible expression programs targeting ophthalmology and oncology indications, diabetes and metabolic disorders among others. The company operates in the UK, the Netherlands and the US. MeiraGTx is headquartered in New York City, New York, the US.
For a complete picture of Entacingene turiparvovec’s drug-specific PTSR and LoA scores, buy the report here.
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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.
