AI-061 is under clinical development by OncoC4 and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how AI-061’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.
AI-061 overview
AI-061 is under development for the treatment of advanced solid tumors. The drug candidate is a co-formulation of AI-025 and ONC-392. AI-025 acts by targeting programmed cell death protein 1 (PD1) and ONC-392 acts by targeting T lymphocyte activation antigen CD86 (CTLA 4). AI-061 is administered through intravenous route.
OncoC4 overview
OncoC4 is a clinical-stage biopharmaceutical company that discovers and develops novel biologicals to treat cancer. It is developing biologics for treating various cancers including hepatocellular carcinoma, breast cancer, ovarian cancer, cervical cancer, neuroblastoma, prostate cancer, lung cancer, and malignant brain tumors. The company’s lead pipeline product candidate ONC-392, a humanized IgG1 monoclonal antibody enables CTLA-4 to maintain its protective function against autoimmune diseases while enhancing anti-tumor activity. It is also investigating other drug programs including ONC-781, ONC-782, ONC-783, ONC-784, ONC-841 and ONC-895. OncoC4 is headquartered in Rockville, Maryland, the US.
For a complete picture of AI-061’s drug-specific PTSR and LoA scores, buy the report here.
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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.
