Isunakinra is under clinical development by Buzzard Pharmaceuticals and currently in Phase II for Colorectal Cancer. According to GlobalData, Phase II drugs for Colorectal Cancer have a 25% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Isunakinra’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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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.

Isunakinra overview

Isunakinra (EBI-005) was under development for the treatment of moderate to severe allergic conjunctivitis, solid tumors, colorectal cancer, pancreatic cancer, triple-negative breast cancer (TNBC), anal cancer, prostate cancer and bile duct cancer (cholangiocarcinoma). The drug candidate is administered through ophthalmic route. It acts by targeting interleukin-1 (IL-1) receptor. It is developed based on AMP-Rx protein engineering platform. It was also under development for severe ocular allergy and dry eye disease.

Buzzard Pharmaceuticals overview

Buzzard Pharmaceuticals is a drug oncology company that develops recombinant protein for cancer indications, and plans to tumor immuno-suppression by myeloid cells. It is headquartered in Stockholm, Sweden.

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

This content was updated on 10 June 2024

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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.