Vilastobart is under clinical development by Xilio Therapeutics and currently in Phase II for Esophageal Cancer. According to GlobalData, Phase II drugs for Esophageal Cancer have a 25% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Vilastobart’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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.
Vilastobart overview
XTX-101 is under development for the treatment of advanced solid tumors including colorectal cancer, non-small cell lung cancer (NSCLC), pancreatic cancer, breast cancer, Head And Neck Cancer, renal cell cancer, uterine cancer, small-cell lung cancer, metastatic castration-resistant prostate cancer, metastatic colorectal cancer, merkel cell carcinoma, cervical cancer, esophageal cancer, prostate cancer, gastric cancer, fallopian tube cancer, leiomyosarcoma and metastatic melanoma. It acts by targeting cytotoxic T lymphocyte associated antigen 4. The drug candidate is developed based on Aklusion and Switchblade platform technology.
Xilio Therapeutics overview
Xilio Therapeutics is a biotechnology company that discovers and develops immuno-oncology therapeutics for the treatment of lung cancer. Xilio Therapeutics is headquartered in Waltham, Massachusetts, the US.
For a complete picture of Vilastobart’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.
