TAS-3351 is under clinical development by Taiho Oncology and currently in Phase II for Non-Small Cell Lung Cancer. According to GlobalData, Phase II drugs for Non-Small Cell Lung Cancer have a 38% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how TAS-3351’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.

TAS-3351 overview

TAS-3351 is under development for the treatment of advanced or metastatic non-small cell lung cancer (NSCLC) harboring an acquired C797S epidermal growth factor receptor (EGFR) mutation. It is administered through oral route and acts by targeting epidermal growth factor receptor (EGFR).

Taiho Oncology overview

Taiho Oncology, a subsidiary of Taiho Pharmaceutical Co Ltd, is a provider of cancer treatments and solutions. The company manufactures and markets cancer anti-metabolites as well as targeted small molecule inhibitors. Its products portfolio includes oral drugs for the treatment of gastric cancer, colorectal cancer and a variety of solid tumors. Taiho Oncology’s pipeline products includes anti metabolic agents and selectively targeted agents. The company’s LONSURF is an anti cancer drug for the treatment of metastatic colorectal cancer. Taiho Oncology is headquartered in Princeton, New Jersey, the US.

For a complete picture of TAS-3351’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 20 May 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.