ThisCART19A is under clinical development by Suzhou Fundamenta Therapeutics 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 ThisCART19A’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.

ThisCART19A overview

Gene therapy is under investigation for the treatment of relapsed or refractory chronic lymphocytic leukemia or lymphoma, b-cell acute lymphoblastic leukemia, non-Hodgkin's B cell lymphoma, diffuse large B-cell lymphoma (DLBCL), follicular lymphoma transferring to DLBCL, mantle cell lymphoma (MCL), follicular lymphoma 3B (FL-3B), original Mediastinal (thymus) large B-cell lymphoma, high-grade B-cell lymphoma, AIDS-associated B-cell lymphoma, b-cell acute lymphoblastic leukaemia, marginal zone lymphoma, autoimmune hemolytic anemia and primary mediastinal large B-cell lymphoma (PMBCL). It is administered through intravenous route. The therapeutic candidate comprises of allogeneic T-cells, which are genetically engineered to express chimeric antigen receptor (CAR) and targets cells expressing CD19.

For a complete picture of ThisCART19A’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 2024

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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.