DZD-2269 is under clinical development by Dizal Pharmaceutical 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 DZD-2269’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.
DZD-2269 overview
DZD-2269 is under development for treatment of solid tumor. The drug candidate acts by targeting adenosine 2A receptor (A2AR). It is administered through oral route.
It was under development for the treatment of metastatic castration resistant prostate cancer as a second line of therapy.
Dizal Pharmaceutical overview
Dizal Pharmaceutical (Dizal) is a biopharmaceutical company. It focuses on research, development, and commercialization of therapies to treat cancer and immunological diseases. The company’s lead product candidate ZEGFROVY, which is at marketing approval stage for treatment of solid tumors. Its product pipeline includes other drug programs such as JAUKPO to treat hematological malignancy, solid tumors, and immunological diseases; DZD8586 for treatment of hematological malignancy; and DZD2269 and DZD1516 to treat solid tumors. The company operates with additional facilities in Beijing, Wuxi, Chengdu, China. Dizal is headquartered in Shanghai, China.
For a complete picture of DZD-2269’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.
