RG-6436 is under clinical development by Genentech USA and currently in Phase I for Urinary Tract Infections. According to GlobalData, Phase I drugs for Urinary Tract Infections have an 87% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how RG-6436’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.
RG-6436 overview
Genentech USA overview
Genentech USA (Genentech), a subsidiary of F. Hoffmann-La Roche Ltd, is a biotechnology company that discovers, develops, manufactures and commercializes medicines to address serious medical needs. It offers drugs in various therapeutic areas including oncology, immunology, ophthalmology, metabolism, neurology, and infectious disease, among others. The company’s pipeline products include Emicizumab (RG6013, ACE910), a bispecific monoclonal antibody used to replace the function of protein in the blood clotting process; and Entrectinib (RXDX-101, RG6268), a CNS-active tyrosine-kinase inhibitor intended for the treatment of non-small cell lung cancer; among others. The company has partnership with BioLineRx, Charles River Laboratories International, Amunix, among others. Genentech is headquartered in South San Francisco, California, the US.
For a complete picture of RG-6436’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.
