Pasireotide is under clinical development by Recordati and currently in Phase II for Medullary Thyroid Cancer. According to GlobalData, Phase II drugs for Medullary Thyroid Cancer have a 42% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Pasireotide’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.

Pasireotide overview

Pasireotide (Signifor, Upelior) is a synthetic polypeptide analogue of somatostatin. It is formulated as injectable solution and powder for suspension for subcutaneous route of administration. Pasireotide is indicated for the treatment of adult patients with Cushing’s disease for whom pituitary surgery is not an option or has not been curative.

Pasireotide is under development for the treatment of medullary thyroid cancer, papillary thyroid cancer, metastatic liver cancer and follicular thyroid cancer and post bariatric hypoglycemia.

It was also under development for Nelson syndrome, fistula, meningioma, leak, cluster headache, dumping syndrome, hepatocellular carcinoma, hypoglycemia, metastatic hepatocellular carcinoma, abscess and carcinoid tumors including neuroendocrine gastroenteropancreatic tumors. It was also under development for the treatment of  unresectable neuroendocrine hepatic metastases

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

This content was updated on 20 February 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.