Background: Uveal melanoma (UM) is the most common primary intraocular tumour in dogs. There is no effective means of predicting whether a tumour will metastasize. microRNA (miRNA) metastasis signatures have been identified for several human cancers, including UM.
Aims: In this study we investigated whether metastasizing and non-metastasizing canine UMs can be distinguished by miRNA expression levels.
Materials And Methods: miRNA microarray profiling was used to compare miRNA expression in 8 metastasizing and 12 non-metastasizing formalin-fixed, paraffin-embedded (FFPE) primary UM biopsies.
Results: Fourteen miRNAs exhibited statistically significant differences in expression between the metastasizing and non-metastasizing tumours. Class prediction analysis pinpointed 9 miRNAs which categorized tumours as metastasizing or non-metastasizing with an accuracy of 89%. Of the discriminating miRNAs, 8 were up-regulated in metastasizing UM, and included 3 miRNAs implicated as potential "metastasis activators" in human cutaneous melanoma. The expression of 4 of the miRNAs was subsequently measured using the quantitative reverse transcription polymerase chain reaction (RT-qPCR), and their up-regulation in metastasizing tumours validated.
Conclusion: miRNA expression profiles may potentially be used to identify UMs that will metastasize, and miRNAs that are up-regulated in metastasizing tumours may be targets for therapeutic intervention.
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