GS-9911 is under clinical development by Gilead Sciences and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how GS-9911’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.

GS-9911 overview

GS-9911 is under development for the treatment of solid tumor. The drug candidate acts by targeting diacylglycerol kinase (DGK). It is administered through oral route.

Gilead Sciences overview

Gilead Sciences (Gilead) is a research-based biopharmaceutical company. It is engaged in the discovery, development and commercialization of medicines for the treatment of cardiovascular, hematological and respiratory diseases, inflammation, liver diseases, cancer, and human immunodeficiency virus (HIV) infection. The company sells its products through subsidiaries and distributors in Europe, the Americas, Asia-Pacific, the Middle East and Africa. It has manufacturing facilities in Edmonton, Alberta, Canada; Foster City, San Dimas, Oceanside, California; and Cork, Ireland among others. The company has partnerships with universities, medical research institutions and global pharmaceutical leaders to develop new drugs. Gilead is headquartered in Foster City, California, the US.

For a complete picture of GS-9911’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 16 July 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.