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.
XL-888 overview
XL-888 is under development for the treatment of adenocarcinoma of the gastroesophageal junction, bile duct cancer (cholangiocarcinoma), hepatocellular carcinoma, gastric cancer, small intestine cancer, colorectal cancer and metastatic adenocarcinoma of the pancreas. It is administered through oral route and acts by targeting heat shock protein 90 (HSP90).
It was also under development for the treatment of solid tumor and melanoma.
Exelixis overview
Exelixis is a biopharmaceutical company that focuses on the development and commercialization of small molecule therapies for the treatment of cancer. The company’s marketed products include, Cometriq (cabozantinib), an inhibitor of multiple receptor tyrosine kinases; Cabometyx (cabozantinib) developed for the treatment of patients with advanced renal cell carcinoma (RCC) and hepatocellular carcinoma (HCC). The company’s pipeline product candidates include zanzalintinib, XB002 and XL102 for the treatment of advanced or metastatic solid tumors and CBX-12 for advanced metastatic refractory solid tumors. The company has collaborative partnerships with biopharmaceutical companies to advance the development of potential therapies for cancer and other serious diseases. Exelixis is headquartered in Alameda, California, the US.
For a complete picture of XL-888’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.
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