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.
AMG-305 overview
Monoclonal antibody is under development for the treatment of pancreatic ductal adenocarcinoma (PDA), solid tumor, colorectal cancer, non-small cell lung cancer, mesothelioma, pancreatic cancer, gastric cancer, head and neck cancer, cervical carcinoma, uterine carcinoma, and breast cancer. The drug candidate is a bi-specific monoclonal antibody construct with half-life extension (MSLN HLE BiTE) and acts by targeting cells expressing mesothelin (MSLN) and CD3. It is being developed based on BiTE technology. It is administered through intravenous rute.
Amgen overview
Amgen is a biotechnology company, which discovers, develops, manufactures, and markets innovative human medicines to treat patients suffering from serious diseases. It develops novel medicines in therapeutic areas of cardiovascular, oncology/hematology, inflammation, bone health, neurological disorders and nephrology. The company develops products using advanced human genetics to analyze the difficulties of disease and understand the fundamentals of human biology. Amgen sells products primarily to pharmaceutical wholesale distributors in the US. It also markets certain products directly to consumers through direct-to-consumer channels and through partnerships with other companies. The company has presence in Asia Pacific, Europe, Middle East, North America and Australia. Amgen is headquartered in Thousand Oaks, California, the US.
For a complete picture of AMG-305’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.