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.

OPB-111077 overview

OPB-111077 is under development for the treatment of hematological cancers including relapsed or refractory diffuse large B-cell lymphoma (DLBCL) and refractory, relapsed, or newly diagnosed acute myeloid leukemia (AML). The drug candidate is administered through oral route in the form of tablet. It acts by targeting signal transducer and activator of transcription 3 (STAT3).

The drug candidate was also under development for the treatment of solid tumors including hepatocellular carcinoma and refractory nasopharyngeal cancer.

Otsuka Pharmaceutical overview

Otsuka Pharmaceutical (OPC), a subsidiary of Otsuka Holdings Co Ltd, is a manufacturer and supplier of pharmaceuticals, food products, clinical testing, and medical equipment. The company develops formulations for diagnosis and treatment of central nervous system, oncology, cardiovascular and renal, gastrointestinal, ophthalmology disorders and infectious diseases through its pharmaceutical business. It’s nutraceutical segment offers rehydration, nutrition, vitamin supplements and cosmetics. OPC is investigating drugs for psychiatry and neurology; oncology; cardiovascular and other therapeutic indications in collaboration with academia and venture companies. The company operates branch offices, research facilities and factories in Japan. OPC is headquartered in Chiyoda-ku, Tokyo, Japan.

For a complete picture of OPB-111077’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 18 March 2024

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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.

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