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A large pooled analysis refines gene expression-based molecular subclasses in cutaneous melanoma.

Thijs T Wind | Mathilde Jalving | Jacco J de Haan | Elisabeth G E de Vries | Marcel A T M van Vugt | Dirk-Jan Reijngoud | Rozemarijn S van Rijn | John B A G Haanen | Christian U Blank | Geke A P Hospers | Rudolf S N Fehrmann
Oncoimmunology | 2019

This study aimed to establish the number of expression-based molecular subclasses in cutaneous melanoma, identify their dominant biological pathways and evaluate their clinical relevance. To this end, consensus clustering was performed separately on two independent datasets (n = 405 and n = 473) composed of publicly available cutaneous melanoma expression profiles from previous studies. Four expression-based molecular subclasses were identified and labelled 'Oxidative phosphorylation', 'Oestrogen response/p53-pathway', 'Immune' and 'Cell cycle', based on their dominantly expressed biological pathways determined by gene set enrichment analysis. Multivariate survival analysis revealed shorter overall survival in the 'Oxidative phosphorylation' subclass compared to the other subclasses. This was validated in a third independent dataset (n = 214). Finally, in a pooled cohort of 76 patients treated with anti-PD-1 therapy a trend towards a difference in response rates between subclasses was observed ('Immune' subclass: 65% responders, 'Oxidative Phosphorylation' subclass: 60% responders, other subclasses: <50% responders). These findings support the stratification of cutaneous melanoma in four expression-based molecular subclasses.

Pubmed ID: 30723592

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Gene Set Enrichment Analysis (tool)

RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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