Varegacestat is under clinical development by Immunome and currently in Phase I for T-Cell Acute Lymphocytic Leukemia (T-Cell Acute Lymphoblastic Leukaemia). According to GlobalData, Phase I drugs for T-Cell Acute Lymphocytic Leukemia (T-Cell Acute Lymphoblastic Leukaemia) 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 Varegacestat LoA Report. 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.
Varegacestat overview
Varegacestat (AL-102) is under development for the treatment of desmoid tumors, relapsed and refractory T-cell acute lymphoblastic leukemia (T-ALL) and relapsed/refractory multiple myeloma. It is administered orally. The drug candidate is a pan-notch gamma secretase inhibitor.
It was under development for the treatment of advanced solid tumors
Immunome overview
Immunome is a biopharmaceutical company that discovers and develops antibodies based on drugs to treat infectious diseases. It is investigating IMM-ONC-01 drug that targets IL-38 (interleukin-38) for the treatment of solid tumors found in prostate, colorectal and lung cancers; and IMM-BCP-01, an anti-infective drug targeting multiple SARS-Cov-2 proteins. The company utilizes its immunome discovery platform to develop antibodies. It seeks to work in partnership with pharmaceutical companies, government agencies, universities and global health organizations to develop new treatments. Immunome is headquartered in Exton, Pennsylvania, the US.
For a complete picture of Varegacestat’s drug-specific PTSR and LoA scores, buy the report here.
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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.
