Interdependence of Molecular Lesions That Drive Uveal Melanoma Metastasis

Francesco Reggiani1, Marianna Ambrosio1,2, Michela Croce3

  • 1Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.

Insights

Uveal melanoma (UM) metastasis risk is linked to genetic changes like chromosome 3 loss and BAP1 mutations. These factors appear to act independently, suggesting a random, rather than sequential, development of metastatic potential in UM.

Area of Science:

  • Ophthalmology
  • Oncology
  • Genetics

Background:

  • Uveal melanoma (UM) metastasis risk is influenced by specific molecular alterations.
  • The precise sequence of these genetic events in UM progression remains unclear.

Purpose of the Study:

  • To investigate the interplay and sequence of key molecular lesions associated with UM metastasis.
  • To analyze the combined effect of genetic factors on uveal melanoma patient outcomes.

Main Methods:

  • Analysis of three independent uveal melanoma datasets (TCGA-UVM, GSE27831, GSE51880).
  • Evaluation of mutations in SF3B1 and BAP1, and copy number alterations including chromosome 3 monosomy (M3), chromosome 8q gain (8q), and chromosome 6p gain (6p).
  • Hierarchical clustering of gene expression data based on combinations of aggressivity factors.

Main Results:

  • BAP1 mutations are consistently linked with chromosome 3 monosomy in high-risk UM.
  • The genetic factors (6p gain, 8q gain, M3, SF3B1 mutation) generally occur independently.
  • Gene expression patterns reveal distinct clusters associated with metastasis, particularly for combinations like 8q gain/M3 and BAP1 mutation/M3.
  • Combined analysis of risk factors highlights additive effects on gene expression and outcome, not evident when considered individually.

Conclusions:

  • The findings support a random risk model for UM metastasis, where genetic alterations act independently without a mandatory sequence.
  • Understanding these independent risk factors and their combinations is crucial for predicting UM metastatic potential.
  • Gene expression changes become more significant predictors of outcome when analyzed in the context of combined genetic alterations.