DF-4101 by AbbVie for Non-Small Cell Lung 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.

DF-4101 overview

DF-4101 is under development for the treatment of relapsed and refractory solid tumors like renal cell carcinoma, head and neck squamous cell carcinoma and non-small cell lung cancer. It is a tri-specific monoclonal antibody being developed based on Tri-specific, NK cell Engager Therapy (TriNKET) platform. It is administered through intravenous route.

AbbVie overview

AbbVie is a specialty biopharmaceutical company, which discovers, develops, manufactures, and commercializes drugs for the treatment of chronic and complex diseases. Its drugs are indicated for the treatment of metabolic and rheumatological diseases, neurological disorders, skin diseases, rheumatoid arthritis, pain related to endometriosis, pediatric Crohn’s disease, cancer, and other serious health conditions. AbbVie is also advancing its pipeline programs for the treatment of Crohn’s disease, Parkinson’s disease, viral diseases, wet AMD, various cancers, neurological disorders, aesthetics, and other autoimmune diseases. The company markets its products directly to wholesalers, distributors, healthcare facilities, government agencies, specialty pharmacies and independent retailers through its own distribution centers and public warehouses worldwide. AbbVie is headquartered in North Chicago, Illinois, the US.

For a complete picture of DF-4101’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 18 March 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.