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Related Experiment Video

Updated: Jan 7, 2026

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
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Genetic Insight into Expression-Defined Melanoma Subtypes and Network Mechanisms: An in Silico Study.

Desirèe Speranza1,2, Mariapia Marafioti3,4, Martina Musarra3,4

  • 1Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98125 Messina, Italy.

Genes
|December 30, 2025
PubMed
Summary

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Melanoma subtypes show distinct biological programs, including differences in proliferation and metabolism. All subtypes maintain an "immunologically hot" profile, suggesting potential for immunotherapy.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Melanoma is a highly heterogeneous cancer.
  • Transcriptional profiles significantly influence melanoma progression and treatment outcomes.
  • Refining molecular stratification is crucial for understanding melanoma diversity.

Purpose of the Study:

  • To perform an in silico transcriptomic analysis of melanoma.
  • To stratify melanoma into molecular subtypes based on gene expression.
  • To characterize the distinct biological profiles of identified melanoma subtypes.

Main Methods:

  • Utilized public microarray datasets (GEO, ArrayExpress; E-MTAB-6697).
  • Employed K-Means clustering to stratify 194 melanoma samples.
  • Conducted differential expression and Weighted-Gene correlation analyses.
Keywords:
expression-based stratificationgenetic heterogeneitylipid metabolismmelanoma

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Main Results:

  • Identified three distinct melanoma molecular subtypes with divergent biological programs.
  • Subtypes differed in proliferation, plasticity, metabolism, and apoptosis.
  • All subtypes exhibited an 'immunologically hot' profile, indicating immunotherapy potential.

Conclusions:

  • Melanoma heterogeneity is characterized by distinct functional and biological processes.
  • Identified subtypes and their biological processes offer targets for tailored therapies.
  • Further validation in independent cohorts is necessary.