Analysis of DNA methylation patterns in the tumor immune microenvironment of metastatic melanoma

Research output: Contribution to journalArticle


The presence of immune cells in the tumor microenvironment has been associated with response to immunotherapies across several cancer types, including melanoma. Despite its therapeutic relevance, characterization of the melanoma immune microenvironments remains insufficiently explored. To distinguish the immune microenvironment in a cohort of 180 metastatic melanoma clinical specimens, we developed a method using promoter CpG methylation of immune cell type-specific genes extracted from genome-wide methylation arrays. Unsupervised clustering identified three immune-methylation clusters with varying levels of immune CpG methylation that are related to patient survival. Matching protein and gene expression data further corroborated the identified epigenetic characterization. Exploration of the possible immune exclusion mechanisms at play revealed likely dependency on MITF protein level and PTEN loss-of-function events for melanomas unresponsive to immunotherapies (immune-low). To understand if melanoma tumors resemble other solid tumors in terms of immune-methylation characteristics, we explored 15 different solid tumor cohorts from TCGA. Low-dimensional projection based on immune cell type-specific methylation revealed grouping of the solid tumors in line with melanoma immune-methylation clusters rather than tumor types. Association of survival outcome with immune cell type-specific methylation differed across tumor and cell types. However, in melanomas immune-cell type-specific methylation was associated with inferior patient survival. Exploration of the immune-methylation patterns in a pan-cancer context suggested that specific immune-microenvironments might occur across the cancer spectrum. Together, our findings underscore the existence of diverse immune microenvironments, which may be informative for future immunotherapeutic applications.


External organisations
  • National Cancer Institute, USA
  • Skåne University Hospital
  • National Bioinformatics Infrastructure Sweden (NBIS), SciLifeLab
  • Helsingborg Hospital
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology
  • Dermatology and Venereal Diseases
Original languageEnglish
Pages (from-to)933-950
Number of pages18
JournalMolecular Oncology
Issue number5
Early online date2020 Mar 9
Publication statusPublished - 2020 May
Publication categoryResearch

Bibliographic note

This article is protected by copyright. All rights reserved.

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