Tebentafusp is under clinical development by Immunocore and currently in Phase II for Uveal Melanoma. According to GlobalData, Phase II drugs for Uveal Melanoma does not have sufficient historical data to build an indication benchmark PTSR for Phase II. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Tebentafusp LoA Report. Buy the report here.
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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.
Tebentafusp overview
Tebentafusp-Tebn (Kimmtrak) is a bispecific gp100 peptide-HLA-directed CD3 T cell engager. It is formulated as the solution, concentrated solution for intravenous route of administration. Kimmtrak is indicated for the treatment of HLA-A*02:01-positive adult patients with unresectable or metastatic uveal melanoma and advanced cutaneous melanoma.
Immunocore overview
Immunocore is a biotechnology company that- focuses on the development of immunotherapeutic drugs for the treatment of cancer, infectious diseases, and autoimmune diseases. The company develops its drugs using proprietary T cell receptor (TCR) technology. Its products under development include IMC-C103C, IMC-F106C, IMC-I109V, IMC-M113V and IMCgp100. The company works in collaboration with various pharmaceutical companies, to develop its product candidates for the treatment of metastatic cutaneous melanoma; cancer; and other indications. It has presence in the UK, the US, Australia, New Zealand and Asia, Europe. Immunocore is headquartered in Oxfordshire, the UK.
For a complete picture of Tebentafusp’s drug-specific PTSR and LoA scores, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
