CBM-C30.1 is under clinical development by AbelZeta and currently in Phase II for Hodgkin Lymphoma (B-Cell Hodgkin Lymphoma). According to GlobalData, Phase II drugs for Hodgkin Lymphoma (B-Cell Hodgkin Lymphoma) have a 17% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how CBM-C30.1’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.

CBM-C30.1 overview

CBM-C30.1 is under development for the treatment of relapsed and refractory CD30 positive Hodgkin's and Non-Hodgkin's lymphomas. The therapy is administered as infusion. CBM-C30.1 acts by targeting CD30 antigen. The cell therapy constitutes chimeric antigen receptor T-cell (CART) cells.

AbelZeta overview

AbelZeta, formerly Cellular Biomedicine Group Inc, is a clinical-stage biopharmaceutical firm that develops and commercializes cell therapies. It focus on the therapeutic areas such as hematological cancers, solid tumors and inflammatory and immunological diseases. The company pipeline products include C-CAR039, C-CAR066, C-CAR088 for hematology malignancies; C-CAR168 for the treatment of inflammatory and immunological diseases; C-CAR031, C-CAR036, Armored CAR-T, C-TIL051 treats solid tumors. Its cell therapeutic platforms include chimeric antigen receptor t-cell (CAR-T) and tumor-infiltrating lymphocytes (TIL). It operates in Hong Kong, China and the US. AbelZeta is headquartered in Cupertino, California, the US.

For a complete picture of CBM-C30.1’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 16 July 2024

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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.