DF-6215 is under clinical development by Dragonfly Therapeutics and currently in Phase I for Metastatic Ovarian Cancer. According to GlobalData, Phase I drugs for Metastatic Ovarian Cancer have a 77% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how DF-6215’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.
DF-6215 overview
DF-6215 is under development for the treatment of advanced or metastatic solid tumors including melanoma, ovarian cancer, head and neck cancer, HPV-positive advanced malignancies, non-small cell lung cancer and renal cell carcinoma. The therapeutic candidate is a cytokine. It acts by targeting interleukin 2 receptor.
Dragonfly Therapeutics overview
Dragonfly Therapeutics (Dragonfly) is a clinical-stage biotechnology company. It discovers, develops, and commercializes novel immune therapies to treat autoimmune disease, oncology, neuro-inflammation, and others. The company utilizes its proprietary platform, TriNKET, for developing its pipeline products which include DF1001, DF6002, DF9001, and DF6215 drug candidates for the treatment of solid tumors. Dragonfly is also developing various other drug candidates for in collaboartion with companies such as Bristol Myers Squib, Merck, Abbvie, and Gilead. Dragonfly is headquartered in Waltham, Massachusetts, the US.
For a complete picture of DF-6215’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.
