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.

Metastatic Uveal Melanoma overview

Metastatic uveal melanoma is a rare and aggressive form of cancer that originates in the pigmented cells of the eye, specifically in the uvea, which includes the iris, ciliary body, and choroid. While the primary tumor in the eye may be treatable, metastatic spread of uveal melanoma to other parts of the body, such as the liver, lungs, bones, or other organs, is associated with a poor prognosis. Uveal melanoma is the most common primary intraocular malignancy in adults. Initially, it may cause few symptoms or be asymptomatic. Common signs include changes in vision, such as blurred vision, visual disturbances, or seeing flashes of light. In some cases, a dark spot on the iris or sudden onset of floaters may be observed. Despite successful treatment of the primary tumor, up to 50% of patients with uveal melanoma will eventually develop metastatic disease, often involving the liver as the most common site of spread. Metastases to other organs, including the lungs, bones, and skin, can also occur. Risk factors for metastatic uveal melanoma include larger tumor size, older age, certain genetic mutations, and specific characteristics of the primary tumor, such as the presence of specific genetic abnormalities. Diagnosis involves a comprehensive eye examination by an ophthalmologist, which may include specialized tests such as ultrasound, fluorescein angiography, or optical coherence tomography. Confirmation of uveal melanoma may require a biopsy of the eye or fine-needle aspiration biopsy.

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G lobalDat a, 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.