Docetaxel is under clinical development by Zhuhai Beihai Biotech and currently in Pre-Registration for Gastric Cancer. According to GlobalData, Pre-Registration drugs for Gastric Cancer have a 100% phase transition success rate (PTSR) indication benchmark for progressing into Marketed. GlobalData’s report assesses how Docetaxel’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.

Docetaxel overview

Docetaxel (BH009) is under development for the treatment of solid tumors, head and neck squamous cell carcinoma (including oropharynx, oral cavity, hypopharynx, and larynx and ovarian cancer (including epithelial ovarian carcinoma, fallopian tube carcinoma, and primary peritoneal carcinoma). It is administered through intravenous route. The drug candidate acts by targeting tubulin.

The drug candidate is under development for the treatment of breast cancer, non-small cell lung cancer, prostate cancer, gastric cancer and triple negative breast cancer.

Zhuhai Beihai Biotech overview

Zhuhai Beihai Biotech is a pharmaceutical company that dedicated to the development of innovative tumor drugs with unmet clinical needs. The company is headquartered in China.

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

This content was updated on 22 April 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.