AFNT-111 is under clinical development by Affini-T Therapeutics 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 AFNT-111’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.
AFNT-111 overview
Affini-T Therapeutics overview
Affini-T Therapeutics (Affini-T) is a biotechnology company that develops T-cell therapies for oncology and immunology indications. It is investigating T-cell receptors (TCR) which include KRAS G12V, KRAS G12D, Mutant P53, and MCPyV. The company offers T-cell receptors to treat solid tumors by targeting oncogenic and viral driver mutations. Its Merkel cell polyomavirus (MCPyV) is a specific T cell receptor (TCR) program for the treatment of PD-1 refractory Merkel cell carcinoma (MCC). Affini-T utilizes the TCR discovery platform to identify, characterize, and select potent and safe naturally occurring TCRs expressed on T cells. It has operations in Boston and Seattle. Affini-T is headquartered in Watertown, Massachusetts, the US.
For a complete picture of AFNT-111’s drug-specific PTSR and LoA scores, buy the report here.
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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.
