SNK-01 is under clinical development by NKGen Biotech and currently in Phase I for Metastatic Colorectal Cancer. According to GlobalData, Phase I drugs for Metastatic Colorectal Cancer have an 84% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how SNK-01’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.

SNK-01 overview

SNK-01 is under development for the treatment of Alzheimer's disease, mild cognitive impairment (MCI), severe plaque psoriasis, metastatic colorectal cancer, head and neck cancer squamous cell carcinoma, non-small cell lung cancer, leiomyosarcoma, chondrosarcoma,synovial sarcoma, angiosarcoma and sarcoma and other solid tumors and parkinson's disease. The drug candidate comprise of autologous NK cells and administered through intravenous route. It is developed based on superNK technology. It was also under development for the treatment of triple negative breast cancers 

NKGen Biotech overview

NKGen Biotechis a biotechnology company that specializes in developing unique natural killer (NK) cell therapies. The company is headquartered in United States.

For a complete picture of SNK-01’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 2 September 2023

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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.