Molecular biomarkers of prognosis in melanoma: how far are we from the clinic?

Lack of association of metastasis-associated lung adenocarcinoma transcript 1 variants with melanoma skin cancer risk

The long noncoding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) has been implicated in melanoma. Polymorphisms in MALAT1 may play a vital role in the progress of melanoma by its regulative function. However, potential genetic variants in MALAT1 affecting the risk of melanoma onset have not been explored. In this study, two single nucleotide polymorphisms (rs3200401 and rs619586) in MALAT1 were selected for genotyping of 334 melanoma patients and 291 cancer-free controls in an Italian population. The results showed that MALAT1 rs3200401 and rs619586 were not associated with melanoma risk. A further breakdown analysis by sex stratification also indicated a lack of association between these polymorphisms and melanoma. In addition, we tested 450 bp of the proximal 5´ flanking region of the gene for the presence of polymorphisms that could be associated with melanoma risk and found no variants in 96 melanoma patients. In conclusion, our results suggest that there is no contribution of MALAT1 rs3200401 and rs619586 polymorphisms or polymorphisms in the core promoter that could be associated with the risk of melanoma skin cancer in this specific study setting. Further validation will be required in larger studies involving different settings/larger populations in order to reach conclusive results.

Identification, Review, and Systematic Cross-Validation of microRNA Prognostic Signatures in Metastatic Melanoma

In metastatic melanoma, it is vital to identify and validate biomarkers of prognosis. Previous studies have systematically evaluated protein biomarkers or mRNA-based expression signatures. No such analyses have been applied to microRNA (miRNA)-based prognostic signatures. As a first step, we identified two prognostic miRNA signatures from publicly available data sets (Gene Expression Omnibus/The Cancer Genome Atlas) of global miRNA expression profiling information. A 12-miRNA signature predicted longer survival after surgery for resection of American Joint Committee on Cancer stage III disease (>4 years, no sign of relapse) and outperformed American Joint Committee on Cancer standard-of-care prognostic markers in leave-one-out cross-validation analysis (error rates 34% and 38%, respectively). A similar 15-miRNA biomarker derived from The Cancer Genome Atlas miRNA-seq data performed slightly worse (39%) than these current biomarkers. Both signatures were then assessed for replication in two independent data sets and subjected to systematic cross-validation together with the three other miRNA-based prognostic signatures proposed in the literature to date. Five miRNAs (miR-142-5p, miR-150-5p, miR-342-3p, miR-155-5p, and miR-146b-5p) were reproducibly associated with patient outcome and have the greatest potential for application in the clinic. Our extensive validation approach highlighted among multiple independent cohorts the translational potential and limitations of miRNA signatures, and pointed to future directions in the analysis of this emerging class of markers.