Ulecaciclib is under clinical development by Aucentra Therapeutics and currently in Phase II for Liver Cancer. According to GlobalData, Phase II drugs for Liver Cancer have a 31% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Ulecaciclib’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.

Ulecaciclib overview

Ulecaciclib (AU-314) is under development for the treatment of solid tumors including metastatic brain tumor, high grade glioma, recurrent glioblastoma multiforme, cervical, colon, pancreatic and uterine cancers, lung cancer, ovarian, colorectal, liver and breast cancer. It is administered through oral route in the form of capsule. It targets cyclin dependent kinase 4 and 6 (CDK4 and CDK6).

Aucentra Therapeutics overview

Aucentra Therapeutics is a biotechnology company that is engaged in drug discovery and pre-clinical development of cancer treatment. The company is headquartered in Adelaide, South Australia, Australia.

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

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.