CS-3005 is under clinical development by CStone Pharmaceuticals and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 54% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how CS-3005’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.

CS-3005 overview

CS-3005 is under development for the treatment of solid tumors. The drug candidate acts by targeting adenosine receptor A2a. It is administered through oral route.

CStone Pharmaceuticals overview

CStone Pharmaceuticals is a biopharmaceutical company. It develops and commercializes immuno-oncology and precision medicine to address the unmet medical needs of cancer patients. The company’s pipeline product portfolio includes Ivosidenib (CS3010) for the treatment of acute myeloid leukemia (AML); CS1001 to treat solid tumors; Avapritinib (CS3007) for the treatment of liver diseases; CS1002, CS1003, CS3006, CS3003, CS3002 to treat solid tumors. CStone Pharmaceuticals operates clinical research institutions for developing anti-cancer drugs. The company has partnerships with Agios Inc, Blueprint Medicines Corp, and WuXi Biologics. CStone Pharmaceuticals is headquartered in Shanghai, China.

For a complete picture of CS-3005’s drug-specific PTSR and LoA scores, buy the report here.


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 its clinical pathway (PTSR), as well as how likely the drug will be approved (LoA). This is based on a proprietary algorithm built from the drugs’ sales forecast, regulatory milestones, cost forecasts, WACC rate and other proprietary data sources found on GlobalData’s Pharmaceutical Intelligence Center.