Taletrectinib adipate is under clinical development by AnHeart Therapeutics and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 54% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how Taletrectinib adipate’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.

Taletrectinib adipate overview

Taletrectinib (DS-6051b/AB-106) is under development for the treatment of relapsed or refractory solid tumors including k-RAS wild-type colorectal cancer, neuroendocrine tumors, non-small-cell lung carcinoma (NSCLC), primary CNS tumors, brain metastases and pulmonary large-cell neuroendocrine carcinoma (LCNEC). It is administered orally as a capsule. The drug candidate targets tyrosine kinases ROS1 and NTRKs type 1, 2, 3.

AnHeart Therapeutics overview

AnHeart Therapeutics, a subsidiary of AnHeart Therapeutics Hangzhou Co Ltd, is a clinical stage biopharmaceutical company that focuses on oncology drugs to address unmet medical needs and underserved markets. AnHeart Therapeutics is headquartered in New York City, New York, the US.

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

This content was updated on 2 September 2023

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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.