AAA-604 is under clinical development by Novartis and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 69% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how AAA-604’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.
AAA-604 overview
AAA604 is under development for the treatment of multiple solid tumors including pancreatic cancer. The therapeutic candidate is a radioligand therapy which acts by targeting integrin alpha-v, beta-3 and beta-5.
Novartis overview
Novartis is a healthcare company that focuses on the discovery, development, manufacture and marketing of prescription and generic pharmaceutical products and eye care products. It provides drugs for the treatment of cancer, cardiovascular diseases, dermatological conditions, neurological disorders, ophthalmic and respiratory diseases, hematologic diseases, solid tumors, immune disorders, and infections, among others. Novartis conducts research in various disease areas through the BioMedical Research division. The company operates through a network of subsidiaries and offices across the Americas, Europe, the Middle East, Africa and Asia-Pacific. Novartis is headquartered in Basel, Switzerland.
For a complete picture of AAA-604’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.
