XmAb-564 is under clinical development by Xencor and currently in Phase I for Plaque Psoriasis (Psoriasis Vulgaris). According to GlobalData, Phase I drugs for Plaque Psoriasis (Psoriasis Vulgaris) have an 85% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how XmAb-564’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.

XmAb-564 overview

XmAb-27564 is under development for the treatment of atopic dermatitis and plaque psoriasis. It acts by targeting interleukin 2 receptor (IL2R). It is a bi-specific fusion protein comprising recombinant monovalent IL-2 fused to Fc heterodomain. It is being developed based on bi-specific Xtend Fc technology. It is administered through subcutaneous route.

Xencor overview

Xencor is a clinical-stage biopharmaceutical company that discovers and develops engineered monoclonal antibodies 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). Its other pipeline includes XmAb306/RO7310729, XmAb968 and XmAb662 (IL12-Fc), among others. 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. Xencor is headquartered in Monrovia, California, the US.

For a complete picture of XmAb-564’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 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.