FPI-2059 by Fusion Pharmaceuticals for Metastatic Colorectal Cancer: Likelihood of Approval

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.

FPI-2059 overview

IPN-01087 is under development for recurrent head and neck squamous cell carcinoma, pancreatic, neuroendocrine prostate, colorectal, gastric and Ewing sarcoma.

It is an  radioconjugate combining actinium-225 with IPN-1087. It is administered through intravenous route.

It was under development for solid tumors including pancreatic ductal adenocarcinoma, gastric cancer, colorectal cancer, melanoma, head and neck cancer squamous cell carcinoma, Ewing sarcoma and gastrointestinal stromal tumors. The drug candidate is a Neurotensin receptor 1 antagonist. It is developed based on PurAffin technology.

It was also under development for the treatment of small-cell lung cancer.

Fusion Pharmaceuticals overview

Fusion Pharmaceuticals is a clinical-stage biopharmaceutical company which develops targeted alpha-particle radio therapeutics for the treatment of cancers. It offers pipeline products such as FPI-1434, FPI-2059 and FPI-1966. The company’s pipeline products treat multiple cancers like head and neck bladder cancer, colorectal cancer and gastric cancers. It aslo include mono therapy and combination therapy. Fusion Pharmaceuticals carters its products under brand Keytruda. It has its operations in the US and Canada. Fusion Pharmaceuticals is headquartered in Hamilton, Ontario, Canada.

For a complete picture of FPI-2059’s drug-specific PTSR and LoA scores, buy the report here.

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.