Anti-CD7 CAR T Cells is under clinical development by ICell Gene Therapeutics and currently in Phase I for Acute Lymphoblastic Lymphoma. According to GlobalData, Phase I drugs for Acute Lymphoblastic Lymphoma 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 Anti-CD7 CAR T Cells 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.

Anti-CD7 CAR T Cells overview

Gene therapy is under development for the treatment of relapsed and refractory T Cell malignancies including T-cell acute lymphoblastic leukemia, T-acute lymphoblastic lymphoma and T-cell non-Hodgkin lymphoma. The therapy comprises of autologous T cells genetically engineered to express chimeric antigen receptor targeting cells expressing CD7. It is administered intravenously.

ICell Gene Therapeutics overview

iCell Gene Therapeutics (ICell Gene) is a biotechnology company. The company research and develops chimeric antigen receptor engineered cells that target multiple types of cancer with poor prognoses. It offers CARvac, T-cell targeted, compound CAR’s and universal CAR’s. ICell Gene offers orphan drug designation for five CARs in multiple myeloma, peripheral t-cell lymphoma, acute myeloid leukemia, b-acute lymphocytic leukemia and t-cell acute lymphocytic leukemia. The company creates novel CAR constructs and CAR enhancing technologies for applicability of transduced T and NK cells. It has operations in the US and China. ICell Gene is headquartered in Brookhaven, New York, the US.

For a complete picture of Anti-CD7 CAR 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.