CD19 Targeted CAR-T Therapy is under clinical development by Chongqing Precision Biotech and currently in Phase I for Sicca Syndrome (Sjogren). According to GlobalData, Phase I drugs for Sicca Syndrome (Sjogren) does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the CD19 Targeted CAR-T Therapy LoA Report. 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.

CD19 Targeted CAR-T Therapy overview

The therapeutic candidate is under development for the treatment of refractory systemic lupus erythematosus, systemic scleroderma, Sjogren's syndrome, dermatomyositis and anti-neutrophil cytoplasmic antibody associated vasculitis (ANCA-AAV), including granulomatosis with polyangiitis (GPA), or microscopic vasculitis (MPA), or eosinophilic granulomatosis with polyangiitis (EGPA). It comprises of T-cells genetically engineered to express chimeric antigen receptors (CAR) targeting cell expressing CD19 and is administered through intravenous route.

For a complete picture of CD19 Targeted CAR-T Therapy’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 16 July 2024

Data 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.