Hossain Sultana Mehbuba, Gimenez Gregory, Stockwell Peter, Weeks Robert, Almomani Suzan, Jones Gregory T, Ratajska Magdalena, Shuen Mathew, Bhat Basharat, Ryś Janusz, Cybulska-Stopa Bozena, Harazin-Lechowska Agnieszka, Rodger Euan, Jackson Christopher, Chatterjee Aniruddha, Eccles Michael R
Department 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.
Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
Cancer Lett. 2025 May 28;618:217638. doi: 10.1016/j.canlet.2025.217638. Epub 2025 Mar 13.
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.
成功的免疫检查点抑制剂(ICI)疗法仅在一小部分黑色素瘤患者中出现,然而所有患者都易发生潜在严重的ICI相关副作用。目前尚无生物标志物能可靠地预测黑色素瘤患者的ICI治疗反应。在本研究中,我们试图识别甲基化组和转录组标志物,这些标志物有可能在黑色素瘤患者接受抗PD1 ICI单药治疗之前预测免疫治疗反应。我们使用Infinium MethylationEPIC微阵列分析了接受抗PD-1单药治疗作为一线治疗的患者治疗前黑色素瘤组织中超过85万个CpG位点的DNA甲基化谱。此外,我们使用RNA测序分析转录组。然后将DNA甲基化和基因表达数据与患者对抗PD1治疗的反应进行统计学比较。我们确定了2579个与黑色素瘤对抗PD1治疗反应相关的DNA低甲基化和高甲基化改变。对DNA甲基化组和转录组的综合分析确定了一个包含35个位点的子集,其中13个在初始发现数据集和外部验证数据集中均有显著差异甲基化。无反应者中低甲基化位点的功能富集分析(p值<0.05)与“角质化包膜形成”、“上皮细胞增殖调节”和“含嘌呤化合物代谢过程”相关。我们确定了新的综合DNA甲基化和基因表达标志物,它们与黑色素瘤患者的抗PD1治疗反应相关。这些发现表明肿瘤相关基因组DNA甲基化、基因表达模式与黑色素瘤患者抗PD1 ICI免疫治疗反应之间存在关联。