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Proteomic discovery of serum biomarkers in metastatic uveal melanoma
Dr Martina Angi
Dr Helen Kalirai
Prof Sarah Coupland
Prof Bertil Damato
Prof Rob Beynon
Summary
In Liverpool, we have developed a computerised system that incorporates information about the patient and their eye cancer (known as uveal melanoma), which is able to predict the likelihood of the eye cancer spreading to the liver. Such a system distinguishes patients at low risk of cancer spread, who are reassured and screened only annually, from patients at high risk of cancer spread, who are referred to a specialist oncologist for intensive screening and treatment. Despite this, by the time that the eye cancer cells are detectable in the liver they are generally resistant to current treatments. Earlier detection of these cells may increase the effectiveness of such therapies. As spread of the eye cancer cells occurs via the blood stream, this study aims to identify a marker in the blood that predicts the presence of eye cancer cells that have spread and are growing in the liver.
Dr Helen Kalirai
Prof Sarah Coupland
Prof Bertil Damato
Prof Rob Beynon
Summary
In Liverpool, we have developed a computerised system that incorporates information about the patient and their eye cancer (known as uveal melanoma), which is able to predict the likelihood of the eye cancer spreading to the liver. Such a system distinguishes patients at low risk of cancer spread, who are reassured and screened only annually, from patients at high risk of cancer spread, who are referred to a specialist oncologist for intensive screening and treatment. Despite this, by the time that the eye cancer cells are detectable in the liver they are generally resistant to current treatments. Earlier detection of these cells may increase the effectiveness of such therapies. As spread of the eye cancer cells occurs via the blood stream, this study aims to identify a marker in the blood that predicts the presence of eye cancer cells that have spread and are growing in the liver.
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