Abstract：
:Melanoma is the most lethal cutaneous cancer. New drugs have recently appeared; however, not all patients obtain a benefit of these new drugs. For this reason, it is still necessary to characterize melanoma at molecular level. The aim of this study was to explore the molecular differences between melanoma tumor subtypes, based on BRAF and NRAS mutational status. Fourteen formalin-fixed, paraffin-embedded melanoma samples were analyzed using a high-throughput proteomics approach, combined with probabilistic graphical models and Flux Balance Analysis, to characterize these differences. Proteomics analyses showed differences in expression of proteins related with fatty acid metabolism, melanogenesis and extracellular space between BRAF mutated and BRAF non-mutated melanoma tumors. Additionally, probabilistic graphical models showed differences between melanoma subgroups at biological processes such as melanogenesis or metabolism. On the other hand, Flux Balance Analysis predicts a higher tumor growth rate in BRAF mutated melanoma samples. In conclusion, differential biological processes between melanomas showing a specific mutational status can be detected using combined proteomics and computational approaches.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Trilla-Fuertes L,Gámez-Pozo A,Prado-Vázquez G,Zapater-Moros A,Díaz-Almirón M,Fortes C,Ferrer-Gómez M,López-Vacas R,Parra Blanco V,Márquez-Rodas I,Soria A,Fresno Vara JÁ,Espinosa Edoi
10.1038/s41598-019-43512-zsubject
Has Abstractpub_date
2019-05-10 00:00:00pages
7217issue
1issn
2045-2322pii
10.1038/s41598-019-43512-zjournal_volume
9pub_type
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