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.

Vibecotamab overview

Vibecotamab(XmAb-14045) is under development for the treatment of hematologic malignancies such as relapsed/refractory acute myeloid leukemia, B-cell acute lymphoblastic leukemia, blastic plasmacytoid dendritic cell neoplasm, myelodysplastic syndrome and chronic myeloid leukemia. It is administered intravenously. It is an extended bi-specific monoclonal antibody which contains both tumor antigen binding domain CD123 and cytotoxic T-cell binding domain (CD3 binding domain). The drug candidate is developed based on XmAb antibody engineering technology (bi-specific technology).

Xencor overview

Xencor is a clinical stage biopharmaceutical company that focused on discovering and developing engineered monoclonal antibody and cytokine therapeutics to treat patients with cancer and autoimmune diseases. The company product pipeline includes Vudalimab (PD1 x CTLA4), Plamotamab (CD20 x CD3), XmAb819 (ENPP3 x CD3), XmAb564 (IL-2-Fc) and XmAb104 (PD1 x ICOS). Xencor‘s Vudalimab is a bispecific antibody that simultaneously targets immune checkpoint receptors PD-1 and CTLA-4 and is designed to promote tumor-selective T-cell activation. Its Plamotamab is a tumor-targeted antibody that contains both a CD20 binding domain and a cytotoxic T-cell binding domain (CD3). The company utilizes its proprietary XmAb technology platform to develop next generation antibody product candidates. . Xencor is headquartered in Monrovia, California, the US.

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

This content was updated on 2 September 2023

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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.