Share

TCR-800 is under clinical development by T-Cure Bioscience and currently in Phase I for Metastatic Renal Cell Carcinoma. According to GlobalData, Phase I drugs for Metastatic Renal Cell Carcinoma have an 80% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how TCR-800’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

Smarter leaders trust GlobalData

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.

TCR-800 overview

Gene therapy is under investigation for the treatment of metastatic clear cell renal cell carcinoma. The therapy constitutes of genetically manipulated T cells which express an antigen receptor targeting HERV-E, the antigen receptor is transduced by a viral vector.

T-Cure Bioscience overview

T-Cure Bioscience, a biotechnology company that engaged in developing autologous T cell receptor (TCR) therapy products for the treatment of solid tumors. The company is headquartered in United States.

For a complete picture of TCR-800’s drug-specific PTSR and LoA scores, buy the report here.

Premium Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

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.