YT-19 is under clinical development by China Immunotech and currently in Phase I for B-Cell Acute Lymphocytic Leukemia (B-Cell Acute Lymphoblastic Leukaemia). According to GlobalData, Phase I drugs for B-Cell Acute Lymphocytic Leukemia (B-Cell Acute Lymphoblastic Leukaemia) have a 90% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how YT-19’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.
YT-19 overview
YT-19 is under development for the treatment of B-cell acute lymphoblastic leukemia. It acts by targeting cells expressing CD-19. The therapeutic candidate consists of autologous T cells genetically engineered with lentiviral vector encoding chimeric antigen receptor (CAR) targeting CD19. The drug candidate is administered by parenteral route as infusion.
China Immunotech overview
China Immunotech (Beijing) Biotechnology Co., Ltd., a biotechnology company that engaged in biopharmaceutics research and development. The company is headquartered in China.
For a complete picture of YT-19’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, 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.
