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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.
Abstract:
Successful immune checkpoint inhibitor (ICI) therapy occurs in only a fraction of melanoma patients, and yet all patients are susceptible to potentially serious ICI-related side-effects. No current biomarkers robustly predict ICI treatment response in melanoma patients. In this study we sought to identify methylome and transcriptome markers which have the potential to predict immunotherapy response in melanoma patients ahead of treatment with anti-PD1 ICI monotherapy. Using Infinium MethylationEPIC microarrays, we analysed DNA methylation profiles of >850,000 CpG sites in pre-treatment melanoma tissues from patients administered anti-PD-1 monotherapy as first-line treatment. In addition, we analysed transcriptomes using RNA-seq. DNA methylation and gene expression data were then statistically compared to patient response to anti-PD1 therapy. We identified 2579 DNA hypomethylation and hypermethylation alterations correlating with melanoma response to anti-PD1 therapy. An integrative analysis of DNA methylomes and transcriptomes identified a subset of 35 loci, 13 of which were significantly differentially methylated in both initial discovery and external validation datasets. Functional enrichment analysis of hypomethylated sites (p-value <0.05) in non-responders was associated with "Formation of the cornified envelope", "Regulation of epithelial cell proliferation", and "Purine-containing compound metabolic process". We have identified novel integrated DNA methylation and gene expression markers, which correlate with anti-PD1 treatment response in melanoma patients. These findings suggest a relationship between tumour-associated genomic DNA methylation, gene expression patterns, and anti-PD1 ICI immunotherapy response in melanoma patients.
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.

