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Melanoma proteomics suggests functional differences related to mutational status.

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.

SUBMITTER: Trilla-Fuertes L

PROVIDER: S-EPMC6510784 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Melanoma proteomics suggests functional differences related to mutational status.

Trilla-Fuertes Lucía L Gámez-Pozo Angelo A Prado-Vázquez Guillermo G Zapater-Moros Andrea A Díaz-Almirón Mariana M Fortes Claudia C Ferrer-Gómez María M López-Vacas Rocío R Parra Blanco Verónica V Márquez-Rodas Iván I Soria Ainara A Fresno Vara Juan Ángel JÁ Espinosa Enrique E

Scientific reports 20190510 1

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 pr ...[more]

PMID: 31076580

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Project description:NRAS and BRAF mutations in melanoma inform current treatment paradigms, but their role in survival from primary melanoma has not been established. Identification of patients at high risk of melanoma-related death based on their primary melanoma characteristics before evidence of recurrence could inform recommendations for patient follow-up and eligibility for adjuvant trials.To determine tumor characteristics and survival from primary melanoma by somatic NRAS and BRAF status.A population-based study with a median follow-up of 7.6 years (through 2007), including 912 patients from the United States and Australia in the Genes, Environment, and Melanoma (GEM) Study, with first primary cutaneous melanoma diagnosed in the year 2000 and analyzed for NRAS and BRAF mutations.Tumor characteristics and melanoma-specific survival of primary melanoma by NRAS and BRAF mutational status.The melanomas were 13% NRAS+, 30% BRAF+, and 57% with neither NRAS nor BRAF mutation (wildtype [WT]). In a multivariable model including clinicopathologic characteristics, relative to WT melanoma (with results reported as odds ratios [95% CIs]), NRAS+ melanoma was associated with presence of mitoses (1.8 [1.0-3.3]), lower tumor-infiltrating lymphocyte (TIL) grade (nonbrisk, 0.5 [0.3-0.8]; and brisk, 0.3 [0.5-0.7] [vs absent TILs]), and anatomic site other than scalp/neck (0.1 [0.01-0.6] for scalp/neck vs trunk/pelvis), and BRAF+ melanoma was associated with younger age (ages 50-69 years, 0.7 [0.5-1.0]; and ages >70 years, 0.5 [0.3-0.8] [vs <50 years]), superficial spreading subtype (nodular, 0.5 [0.2-1.0]; lentigo maligna, 0.4 [0.2-0.7]; and unclassified/other, 0.2 [0.1-0.5] [vs superficial spreading]), and presence of mitoses (1.7 [1.1-2.6]) (P?<?.05 for all). There was no significant difference in melanoma-specific survival (reported as hazard ratios [95% CIs]) for melanoma harboring mutations in NRAS (1.7 [0.8-3.4]) or BRAF (1.5 [0.8-2.9]) compared with WT melanoma, as adjusted for age, sex, site, American Joint Committee on Cancer (AJCC) tumor stage, TIL grade, and study center. However, melanoma-specific survival was significantly poorer for higher-risk (T2b or higher stage) tumors with NRAS (2.9 [1.1-7.7]) or BRAF (3.1 [1.2-8.5]) mutations (P?=?.04) but not for lower-risk (T2a or lower) tumors with NRAS (0.9 [0.3-3.0]) or BRAF (0.6 [0.2-1.7]) (P?=?.65), as adjusted for age, sex, site, AJCC tumor stage, TIL grade, and study center.Lower TIL grade for NRAS+ melanoma suggests it has a more immunosuppressed microenvironment, which may affect its response to immunotherapies. The approximate 3-fold increased risk of death for higher-risk tumors harboring NRAS or BRAF mutations after adjusting for other prognostic factors compared with WT melanomas indicates that the prognostic implication of these mutations deserves further investigation, particularly in higher–AJCC stage primary melanomas.

Project description:Much emphasis has been placed on the identification, functional characterization, and therapeutic potential of somatic variants in tumor genomes. However, the majority of somatic variants lie outside coding regions and their role in cancer progression remains to be determined. In order to establish a system to test the functional importance of non-coding somatic variants in cancer, we created a low-passage cell culture of a metastatic melanoma tumor sample. As a foundation for interpreting functional assays, we performed whole-genome sequencing and analysis of this cell culture, the metastatic tumor from which it was derived, and the patient-matched normal genomes. When comparing somatic mutations identified in the cell culture and tissue genomes, we observe concordance at the majority of single nucleotide variants, whereas copy number changes are more variable. To understand the functional impact of non-coding somatic variation, we leveraged functional data generated by the ENCODE Project Consortium. We analyzed regulatory regions derived from multiple different cell types and found that melanocyte-specific regions are among the most depleted for somatic mutation accumulation. Significant depletion in other cell types suggests the metastatic melanoma cells de-differentiated to a more basal regulatory state. Experimental identification of genome-wide regulatory sites in two different melanoma samples supports this observation. Together, these results show that mutation accumulation in metastatic melanoma is nonrandom across the genome and that a de-differentiated regulatory architecture is common among different samples. Our findings enable identification of the underlying genetic components of melanoma and define the differences between a tissue-derived tumor sample and the cell culture created from it. Such information helps establish a broader mechanistic understanding of the linkage between non-coding genomic variations and the cellular evolution of cancer.

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Melanoma proteomics suggests functional differences related to mutational status.

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Melanoma proteomics suggests functional differences related to mutational status.

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