Related Experiment Video

Updated: Jan 25, 2026

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
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A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

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Melanoma proteomics suggests functional differences related to mutational status

Lucía Trilla-Fuertes1, Angelo Gámez-Pozo1,2, Guillermo Prado-Vázquez1,2

  • 1Biomedica Molecular Medicine SL, Madrid, Spain.

Scientific Reports
|May 12, 2019
PubMed

Insights

Understanding melanoma molecular differences is key, as new drugs benefit only some patients. This study used proteomics and computational methods to find distinct molecular features in BRAF mutated versus non-mutated melanoma.

Area of Science:

  • Oncology
  • Proteomics
  • Bioinformatics

Background:

  • Melanoma is the deadliest skin cancer, with new therapies showing variable patient response.
  • Personalized treatment requires deeper molecular characterization of melanoma subtypes.
  • Identifying molecular distinctions based on BRAF and NRAS mutational status is crucial.

Purpose of the Study:

  • To investigate molecular differences between melanoma subtypes defined by BRAF and NRAS mutational status.
  • To apply high-throughput proteomics and computational modeling for melanoma subtyping.
  • To correlate molecular profiles with tumor growth characteristics.

Main Methods:

  • Analysis of 14 formalin-fixed, paraffin-embedded melanoma samples.
  • High-throughput proteomics to identify protein expression differences.
  • Probabilistic graphical models and Flux Balance Analysis for computational characterization.

Main Results:

  • Proteomics revealed differential protein expression in fatty acid metabolism, melanogenesis, and extracellular space between BRAF mutated and non-mutated tumors.
  • Computational models identified distinct biological processes, including melanogenesis and metabolism, across melanoma subgroups.
  • Flux Balance Analysis predicted a higher tumor growth rate in BRAF mutated melanoma samples.

Conclusions:

  • Combined proteomics and computational approaches can detect differential biological processes in melanoma based on mutational status.
  • Molecular subtyping of melanoma holds promise for targeted therapeutic strategies.
  • Understanding BRAF mutational impact on melanoma biology is essential for treatment optimization.

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