LUCARG-39D is under clinical development by Legend Biotech and currently in Phase I for Diffuse Large B-Cell Lymphoma. According to GlobalData, Phase I drugs for Diffuse Large B-Cell Lymphoma have a 74% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how LUCARG-39D’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.

LUCARG-39D overview

LUCAR-G39D is under development for the treatment of relapsed and refractory B-cell non-Hodgkin lymphoma, follicular lymphoma and diffuse large B-cell lymphoma. The therapeutic candidate comprises genetically modified T cells to express chimeric antigen receptors (CAR) targeting cells expressing CD19 and CD20. It is administered through parenteral route.

Legend Biotech overview

Legend Biotech, a subsidiary of Genscript Biotech Corp, develops, manufactures, and commercializes novel therapies to treat life-threatening diseases. The company develops advanced cell therapies across a diverse array of technology platforms, including autologous and allogeneic chimeric antigen receptor T-cell, gamma-delta T cell and natural killer (NK) cell-based immunotherapy. Legend Biotech also operates research and development sites. The company operates in the Americas and Europe. Legend Biotech is headquartered in Piscataway, New Jersey, the US.

For a complete picture of LUCARG-39D’s drug-specific PTSR and LoA scores, buy the report here.

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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.