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.

Darleukin overview

Darleukin (L19-IL2) is under development for the treatment of metastatic melanoma and relapsed or refractory diffuse large B-cell lymphoma and stage III and IV unresectable melanoma patients. The drug candidate is administered by intravenous and intratumoral routes. The drug candidate is a fusion protein of the human antibody L19 and the human cytokine IL-2. It is developed based on immunocytokine technology. It was also under development for the treatment of renal cell carcinoma as the first and third line of therapy, lymphoma and advanced pancreatic cancer in combination with gemcitabine and oligometastatic solid tumors including non-small cell lung cancer, head and neck cancer squamous cell carcinoma, colorectal cancer, renal cell carcinoma.

Philogen overview

Philogen is a biotechnology company that develops biopharmaceuticals for the treatment of angiogenesis-related disorders. The company’s product portfolio include NidlegyTM, Fibromun, Darleukin, Dodekin, Dekavil and ABBV-022. The company provides dekavil and tetravil and others targeted at the treatment of severe pathologies such as cancer, rheumatoid arthritis and age-related macular degeneration. It offers DNA-encoded chemical libraries, antibody drug conjugates, immunocytokines, and antibody libraries, discovery of vascular targets, vascular targeting and easy iodine technology. The company is also advancing clinical development programs for the treatment of cancer and of chronic diseases. Philogen is headquartered in Siena, Italy.

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

This content was updated on 2 September 2023

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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.