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.
Oleclumab overview
Oleclumab (MEDI-9447) is under development for the treatment of metastatic non-small cell lung cancer, refractory solid tumors such as prostate cancer, colorectal cancer and EGFR mutated non- small cell lung cancer, metastatic pancreatic ductal adenocarcinoma, angiosarcoma, dedifferentiated liposarcoma and osteosarcoma. It is administered intravenously as a powder for solution. It is a monoclonal antibody targeting CD73. The drug candidate is a new molecular entity (NME). The drug candidate was also under development for the treatment of colorectal cancer, metastatic pancreatic cancer.
AstraZeneca overview
AstraZeneca is a biopharmaceutical company, which is focused on discovery, production and commercialization of a range of prescription drugs. It develops products related to therapy areas such as respiratory, cardiovascular, renal and metabolic diseases, cancer, autoimmune, infection and neurological diseases. The company’s product portfolio includes biologics, prescription pharmaceuticals and vaccines. AstraZeneca sells its products through wholly- owned local marketing companies, distributors and local representative offices. The company markets its products to primary care and specialty care physicians. The company operates in Europe, the Americas, Asia, Africa and Australasia. AstraZeneca is headquartered in Cambridge, Cambridgeshire, the UK.
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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.