SGN-1 is under clinical development by Guangzhou Sinogen Pharmaceutical and currently in Phase II for Cervical Cancer. According to GlobalData, Phase II drugs for Cervical Cancer have a 35% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how SGN-1’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.

SGN-1 overview

SGN-1 is under development for the treatment of liver cancer, head and neck cancer squamous cell carcinoma, non-hodgkin lymphoma, hodgkin lymphoma, skin cancer, sarcoma, pancreatic cancer, prostate cancer, pseudomyxoma peritoneum (pseudomyxoma peritonei, PMP), squamous non-small cell carcinoma, cervical carcinoma, breast cancer, triple negative breast cancer, melanoma, head and neck cancer, ovarian cancer, small-cell lung cancer, bladder cancer, nasopharyngeal cancer and hepatocellular carcinoma. The drug candidate is administered by intratumoral and intravenous routes. It acts by targeting amino acid metabolism.

It was also under development for the treatment of osteosarcoma and penile cancer.

For a complete picture of SGN-1’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 20 February 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.