Recent advances in melanoma research via 'omics' platforms
Autor: | Carmen Rodríguez-Cerdeira, Alberte Corbalán-Rivas, Miguel Carnero-Gregorio, Alberto Molares-Vila |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Proteomics Biophysics Biology Biochemistry Exosome 03 medical and health sciences 0302 clinical medicine Metabolome medicine Biomarkers Tumor Humans Biomarker discovery Melanoma business.industry Computational Biology medicine.disease Microvesicles MicroRNAs 030104 developmental biology 030220 oncology & carcinogenesis Proteome Cancer research Personalized medicine business |
Zdroj: | Journal of proteomics. 188 |
ISSN: | 1876-7737 |
Popis: | Melanoma has a high mortality rate and metastatic melanoma is highly resistant to conventional therapies. "Omics" fields such as proteomics and microRNA and exosome studies have provided new knowledge to complement the information generated by genomic studies. This work aimed to review the current status of biomarker discovery for melanoma through multi-"omics" platforms. A few sets of novel microRNAs and proteins are described, some of them with important implications in suppressing melanoma at different stages. Upregulation of genes involved in angiogenesis, immunosuppressive factors, modification of stroma, capture of melanoma cells in lymph nodes and factors responsible for tumour cell recruitment have been identified in exosomes, among molecules with other functions. A remarkable series of proteins involved in epithelial-mesenchymal/mesenchymal-epithelial transitions, inflammation, motility, proliferation and progression processes, centrosome amplification, aneuploidy, inhibition of CD8+ effector T-cells, and metastasis in general were identified. Genomic and protein-protein interactions or metabolome levels were not analysed. Proteomics tools such as Orbitrap shotgun mass spectrometry or deep mining proteomic analysis utilizing high-resolution reversed phase nanoseparation in combination with mass spectrometry are also discussed. The application of these tools together with bioinformatics approaches applied to the clinical setting will enable the implementation of personalized medicine in the near future. |
Databáze: | OpenAIRE |
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