Pre-treatment DNA methylome and transcriptome profiles correlate with melanoma response to anti-PD1 immunotherapy

Sultana Mehbuba Hossain1, Gregory Gimenez1, Peter Stockwell1

  • 1Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland, New Zealand.

Cancer Letters
|March 15, 2025
PubMed

Insights

Researchers identified new DNA methylation and gene expression markers to predict anti-PD1 immunotherapy response in melanoma patients. These biomarkers may help select patients likely to benefit from treatment and avoid side-effects.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Immune checkpoint inhibitor (ICI) therapy shows limited success in melanoma patients.
  • Predictive biomarkers for ICI response in melanoma are lacking.
  • All patients face potential ICI-related side-effects, regardless of treatment efficacy.

Purpose of the Study:

  • To identify methylome and transcriptome markers for predicting anti-PD1 immunotherapy response in melanoma.
  • To correlate DNA methylation and gene expression profiles with patient response to anti-PD1 monotherapy.

Main Methods:

  • Analysis of DNA methylation profiles (>850,000 CpG sites) using Infinium MethylationEPIC microarrays in pre-treatment melanoma tissues.
  • RNA-sequencing (RNA-seq) to analyze transcriptomes.
  • Statistical comparison of DNA methylation and gene expression data with patient response to anti-PD1 therapy.

Main Results:

  • Identified 2579 DNA methylation alterations (hypo- and hypermethylation) associated with anti-PD1 therapy response.
  • An integrative analysis revealed 35 loci with combined DNA methylation and gene expression changes, with 13 validated in independent datasets.
  • Functional enrichment analysis in non-responders highlighted associations with cornified envelope formation and epithelial cell proliferation.

Conclusions:

  • Novel integrated DNA methylation and gene expression markers correlate with anti-PD1 treatment response in melanoma.
  • These findings suggest a link between tumor DNA methylation, gene expression patterns, and immunotherapy response in melanoma patients.
  • The identified markers hold potential for predicting treatment efficacy and guiding therapeutic decisions.

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