CST-109 is under clinical development by CuraSen Therapeutics and currently in Phase II for Parkinson’s Disease. According to GlobalData, Phase II drugs for Parkinson’s Disease have a 41% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how CST-109’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

Smarter leaders trust GlobalData

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.

CST-109 overview

CST-109 is under development for the treatment of Parkinson’s disease. The drug candidate is a new chemical entity.

CuraSen Therapeutics overview

CuraSen Therapeutics is developing drugs targeting a novel mechanism in the brain to restore function, improve symptoms and modify disease in a range of neurodegenerative diseases, including orphan disorders as well as Parkinson’s Disease and Alzheimer’s Disease.

For a complete picture of CST-109’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 16 July 2024

Data Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

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.