IMA-950 is under clinical development by Immatics and currently in Phase I for Low-Grade Glioma. According to GlobalData, Phase I drugs for Low-Grade Glioma 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 IMA-950 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.

IMA-950 overview

IMA-950 is under development for the treatment of relapsing glioblastoma, glioma including astrocytoma, oligoastrocytoma or oligodendroglioma and low grade glioma. The vaccine candidate is administered intradermally, and subcutaneously. It is a multi-peptide cancer vaccine containing 11 tumor-associated peptides. It consists of different synthetic tumor-associated peptides (TUMAPs). TUMAPs are dissolved in water and administered together with an adjuvant. These TUMAPs are derived from antigens overexpressed on tumor cells. The therapeutic candidate is developed using XPRESIDENT technology. It was also under development for the intradermal  treatment of glioblastoma multiforme (GBM).

Immatics overview

Immatics is a biopharmaceutical company focused on the development of T cell immunotherapies to fight against cancer. Immatics is headquartered in Tuebingen, Germany.

For a complete picture of IMA-950’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 20 May 2024

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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.