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.

Tesevatinib tosylate overview

Tesevatinib tosylate (KD-019, XL647) is under development for the treatment of autosomal dominant polycystic kidney disease, autosomal recessive polycystic kidney disease, non-small cell lung cancer with brain metastasis (or) leptomeningeal metastasis, recurrent glioblastoma multiforme. It is a small molecule administered orally. It acts by inhibiting the epidermal growth factor receptor (EGFR), human epidermal growth factor receptor 2 (HER2), vascular endothelial growth factor receptor VEGFR 2 and 3 and ephrin B4 (EphB4) RTKs. It was under development for the treatment of non-small cell lung cancer, metastatic breast cancer, prostate cancer, metastatic or unresectable adenocarcinoma of esophagus, gastroesophageal junction and stomach cancer.

Kadmon overview

Kadmon is an integrated biopharmaceutical company that discovers, develops and markets small molecules and biologics for autoimmune and fibrotic diseases, various types of cancer, and genetic diseases. The company’s pipeline encompasses investigational candidates for the treatment of moderate to severe psoriasis, idiopathic pulmonary fibrosis, and polycystic kidney disease among others. Its pipeline candidates are based on its small molecule and biologics platforms. It also develops in-licensed product candidates and technologies. The company works in partnership with various pharmaceutical and biopharmaceutical companies to advance its pipeline candidates. Kadmon is headquartered in New York, the US.

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

This content was updated on 2 September 2023

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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.