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ABSTRACT: Background
Despite recent improvements in therapy, the five-year survival rate for patients with advanced melanoma is poor, mainly due to the development of drug resistance. The aim of the present study was to investigate the mechanisms underlying this phenomenon, applying proteomics and structural approaches to models of melanoma cells.Methods
Sublines from two human (A375 and SK-MEL-28) cells with acquired vemurafenib resistance were established, and their proteomic profiles when exposed to denaturation were identified through LC-MS/MS analysis. The pathways derived from bioinformatics analyses were validated by in silico and functional studies.Results
The proteomic profiles of resistant melanoma cells were compared to parental counterparts by taking into account
SUBMITTER: Tabolacci C
PROVIDER: S-EPMC9698468 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature