Rulonilimab is under clinical development by Shandong New Time 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 Rulonilimab’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.
Rulonilimab overview
F-520 is under development for the treatment of advanced solid tumors, relapsed and refractory peripheral T cell lymphoma (PTCL), endometrial cancer, squamous and non- squamous non-small cell lung cancer, hepatocellular carcinoma and relapsed/refractory primary testicular diffuse large B-cell lymphoma. The drug candidate is a recombinant humanized monoclonal antibody. It is administered by administered as intravenous drip. The drug candidate acts by targeting programmed cell death protein 1 (PD1).
It was also under development for the treatment of relapsed and refractory primary central nervous system lymphoma (PCNSL), transitional cell carcinoma (urothelial cell carcinoma), cervical cancer, urethral cancer, bladder cancer and ureter cancer, secondary central nervous system lymphoma (SCNSL)
For a complete picture of Rulonilimab’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.
