SAR-445710 is under clinical development by Kadmon and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 54% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how SAR-445710’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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.

SAR-445710 overview

KD-033 is under development for the treatment of metastatic solid tumors, lung cancer, melanoma and colon cancer. The drug candidate is a chimera, a bi-functional fusion protein comprised of anti-PD-L1 antibody linked at its tail to the cytokine IL-15 by the sushi domain of the IL-15 receptor. It is administered through intravenous route.

Kadmon overview

Kadmon is an integrated biopharmaceutical company that discovers, develops and markets small molecules and biologics for autoimmune and fibrotic diseases, various types of cancer, and genetic diseases. The company’s pipeline encompasses investigational candidates for the treatment of moderate to severe psoriasis, idiopathic pulmonary fibrosis, and polycystic kidney disease among others. Its pipeline candidates are based on its small molecule and biologics platforms. It also develops in-licensed product candidates and technologies. The company works in partnership with various pharmaceutical and biopharmaceutical companies to advance its pipeline candidates. Kadmon is headquartered in New York, the US.

For a complete picture of SAR-445710’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.