Anaplastic Thyroid Cancer is an indication for drug development with over 30 pipeline drugs currently active. According to GlobalData, preregistered drugs for Anaplastic Thyroid Cancer have a 100% likelihood of approval (LoA) indication benchmark. GlobalData’s report assesses how phase transition success rate (PTSR) and likelihood of approval (LoA) scores for pipeline drugs in Anaplastic Thyroid Cancer compared to historical benchmarks. Buy the report here.

Smarter leaders trust GlobalData

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.

Anaplastic Thyroid Cancer overview

Anaplastic thyroid cancer (ATC) is a rare and aggressive form of thyroid cancer that affects mainly older people. It grows very fast and often spreads to other parts of the body, such as the lungs, bones, and brain. It causes symptoms like a large and painful neck mass, difficulty swallowing or breathing, hoarseness, and cough. The cause of ATC is unknown, but it may be related to previous radiation exposure or other thyroid cancers. ATC is hard to treat and has a poor prognosis.

For a complete picture of PTSR and LoA scores for drugs in Anaplastic Thyroid Cancer, buy the report here.

Data Insights


The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.


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.