CD30 is under clinical development by Wuhan Bio-Raid Biotechnology and currently in Phase I for Angioimmunoblastic T-Cell Lymphoma (AITL)/Immunoblastic Lymphadenopathy. According to GlobalData, Phase I drugs for Angioimmunoblastic T-Cell Lymphoma (AITL)/Immunoblastic Lymphadenopathy 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 CD30 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.
CD30 overview
Gene therapy is under development for the treatment of adult T-cell leukemia/lymphoma, anaplastic large-cell lymphoma, angioimmunoblastic T-cell lymphoma, NK/T-cell lymphoma, peripheral T-cell lymphoma, enteropathy-associated T cell lymphoma, Burkitt lymphoma, Hodgkin lymphoma, diffuse large B-cell lymphoma, diffuse large B-cell lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, primary mediastinal large B-cell lymphoma and mycosis fungoides. It is administered as an infusion through parenteral route and intravenous route. The therapeutic candidate constitutes autologous T cells genetically modified by lentivirus vector encoding 3rd generation anti-CD30 CAR. It acts by targeting tumor cells expressing CD30.
Wuhan Bio-Raid Biotechnology overview
Wuhan Bio-Raid Biotechnology is a developer of CAR-T cell immunotherapy that promotes cellular immunotherapy technology to clinical application. The company is headquartered in China.
For a complete picture of CD30’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.
