A meta-analysis of transcriptome datasets characterizes malignant transformation from melanocytes and nevi to melanoma

Oncology Letters
Daniel Ortega-BernalClaudia Rangel-Escareño

Abstract

Melanoma represents one of the most aggressive malignancies and has a high tendency to metastasize. The present study aims to investigate the molecular mechanisms of two pathways to cancer transformation with the purpose of identifying potential biomarkers. Our approach is based on a meta-analysis of gene expression profiling contrasting two scenarios: A model that describes a transformation pathway from melanocyte to melanoma and a second model where transformation occurs through an intermediary nevus. Data consists of three independent, publicly available microarray datasets from the Gene Expression Omnibus (GEO) database comprising samples from melanocytes, nevi and melanoma. The present analysis identified 808 differentially expressed genes (528 upregulated and 360 downregulated) in melanoma compared with nevi, and 2,331 differentially expressed genes (946 upregulated and 1,385 downregulated) in melanoma compared with melanocytes. Further analysis narrowed down this list, since 682 differentially expressed genes were found in both models (417 upregulated and 265 downregulated). Enrichment analysis identified relevant dysregulated pathways. This article also presented a discussion on significant genes including ADAM like dec...Continue Reading

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Citations

Feb 27, 2020·Giornale Italiano Di Dermatologia E Venereologia : Organo Ufficiale, Società Italiana Di Dermatologia E Sifilografia·Riccardo PampenaCaterina Longo

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