LVgp120duoCAR-T Cells is under clinical development by Lentigen Technology and currently in Phase II for Human Immunodeficiency Virus (HIV) Infections (AIDS). According to GlobalData, Phase II drugs for Human Immunodeficiency Virus (HIV) Infections (AIDS) have a 39% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how LVgp120duoCAR-T Cells’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.
LVgp120duoCAR-T Cells overview
Gene therapy (duoCAR-T cells) is under development for the treatment of HIV. It is administered through intravenous route. The therapy constitutes of genetically manipulated autologous T cells which express two different chimeric antigen receptor (CAR) proteins that are transduced by lentivirus. It acts by targeting gp120.
Lentigen Technology overview
Lentigen Technology (Lentigen), a subsidiary of Miltenyi Biotec GmbH, is a provider of gene delivery and expression technology solutions. The company provides clinical trial support in viral vector product development and clinical applications, among others. Its lentiviral vectors finds application in the T cell and hematopoietic stem cell transduction. Lentigen also offers contract manufacturing programs for the production of lentiviral vector products. The company works in partnership with other organizations for the lentiviral vector development and manufacturing. Lentigen is headquartered in Gaithersburg, Maryland, the US.
For a complete picture of LVgp120duoCAR-T Cells’s drug-specific PTSR and LoA scores, buy the report here.
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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.
