Gene Therapy to Target CD19 for Leukemia or Lymphoma is under clinical development by Xi’An Yufan Biotechnology and currently in Phase I for Follicular Lymphoma. According to GlobalData, Phase I drugs for Follicular Lymphoma have a 78% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how Gene Therapy to Target CD19 for Leukemia or Lymphoma’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.

Gene Therapy to Target CD19 for Leukemia or Lymphoma overview

Gene therapy is under development for the treatment of acute lymphocytic leukemia, chronic lymphocytic leukemia (CLL), follicular lymphoma, marginal zone b-cell lymphoma, Waldenstrom macroglobulinemia, hairy cell leukemia, diffuse large B-Cell lymphoma, Burkitt lymphoma, mantle cell lymphoma. It is administered by intravenous route. The therapeutic candidate comprises of autologous T-cells genetically transduced with a lentiviral vector to express chimeric antigen receptors (CAR) targeting cells expressing CD19. The CAR-T cells are electroporated with CRISPR guide RNA to disrupt expression of endogenous HPK1.

For a complete picture of Gene Therapy to Target CD19 for Leukemia or Lymphoma’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 20 May 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.