Ficerafusp alfa is under clinical development by Bicara Therapeutics and currently in Phase II for Pancreatic Cancer. According to GlobalData, Phase II drugs for Pancreatic Cancer have a 25% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Ficerafusp alfa’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.
Ficerafusp alfa overview
Bicara Therapeutics overview
Bicara Therapeutics (Bicara) is a clinical-stage biotechnology company that develops therapies for treating cancer. The company designs and develops dual-action biologics to spur immune response in the tumor microenvironment. Its product pipeline includes a protein-based epidermal growth factor receptor (EGFR), BCA101, and precision immune-cytokine, BCA356. Bicara’s antibodies restrict tumor growth and metastasis by inhibiting EGFR and disabling TGF-ß at the site of the tumor. The company’s bifunctional antibodies and other biologics are used for treating solid tumors. It was funded by Red Tree Venture Capital, RA Capital, F Prime, Eight Roads, Invus, Omega Funds, Piper Sandler, Bioqube Ventures, Acorn, Janus Henderson, Biocon, and Premji Invest. Bicara is headquartered in Cambridge, Massachusetts, the US.
For a complete picture of Ficerafusp alfa’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.
