Lixudebart is under clinical development by Alentis Therapeutics and currently in Phase II for Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis (ANCA Vasculitis). According to GlobalData, Phase II drugs for Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis (ANCA Vasculitis) have a 74% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Lixudebart’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.
Lixudebart overview
ALEF-02 is under development for the treatment of liver, kidney, idiopathic pulmonary fibrosis (lung fibrosis), anti-neutrophil cytoplasmic antibody-associated vasculitis (ANCA vasculitis). It acts by targeting a claudin 1 (CLDN1). It is administered by intravenous route.
It was also under development for the treatment of solid tumors.
Alentis Therapeutics overview
Alentis Therapeutics is a clinical stage biotechnology company that develops treatments for fibrotic disease and associated cancer. It focuses on developing first-in-class breakthrough treatments for CLDN1+ tumors and organ fibrosis. The company’s portfolio of anti-CLDN1 monoclonal antibodies includes a novel class of anti-cancer therapies designed to reprogram the tumor microenvironment (TME). Alentis Therapeutics is headquartered in Allschwil, Switzerland.
For a complete picture of Lixudebart’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.
