Canhua Xiao, Gang Peng, Karen N Conneely, Hongyu Zhao, Jennifer C Felger, Evanthia C Wommack, Kristin A Higgins, Dong M Shin, Nabil F Saba, Deborah W Bruner, Andrew H Miller
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DNA methylation (Illumina MethylationEPIC) and gene expression (Applied Biosystems Clariom S) arrays and assays for seven inflammatory markers (R&D Systems multiplex) were performed. Mixed models and enrichment analyses were applied to establish the associations. A total of 386 methylation loci were associated with fatigue among 145 patients (False Discovery Rate [FDR] < 0.05). Enrichment analyses showed the involvement of genes related to immune and inflammatory responses, insulin and lipid metabolism, neuropsychological disorders, and tumors. We further identified 16 methylation-gene expression pairs (FDR < 0.05), which were linked to immune and inflammatory responses and lipid metabolism. Ninety-one percent (351) of the 386 methylation loci were also significantly associated with inflammatory markers (e.g., interleukin 6, c-reactive protein; FDR < 0.05), which further mediated the association between methylation and fatigue (FDR < 0.05). These data suggest that epigenetic modifications associated with inflammation and immunometabolism, in conjunction with relevant gene expression and protein markers, are potential targets for treating fatigue in HNC patients. 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引用次数: 0
摘要
癌症患者通常会感到疲劳。在此,我们试图研究头颈癌(HNC)患者在治疗期间和治疗后外周血中与疲劳有关的表观遗传修饰(即 DNA 甲基化)。此外,我们还确定了这些修饰是否与基因表达和炎症蛋白标志物有关,我们以前曾将这些基因表达和炎症蛋白标志物与 HNC 患者的疲劳联系起来。这项前瞻性纵向研究招募了符合条件的患者,收集了放疗前、放疗结束、放疗后六个月和一年的数据。患者使用多维疲劳量表(MFI)-20报告疲劳数据。进行了DNA甲基化(Illumina MethylationEPIC)和基因表达(Applied Biosystems Clariom S)阵列和七种炎症标志物(R&D Systems multiplex)的检测。应用混合模型和富集分析建立关联。在 145 名患者中,共有 386 个甲基化位点与疲劳相关(假发现率 [FDR] 为 0.5%)。
DNA methylation profiles of cancer-related fatigue associated with markers of inflammation and immunometabolism.
Cancer patients are commonly affected by fatigue. Herein, we sought to examine epigenetic modifications (i.e., DNA methylation) related to fatigue in peripheral blood among patients during and after treatment for head and neck cancer (HNC). Further, we determined whether these modifications were associated with gene expression and inflammatory protein markers, which we have previously linked to fatigue in HNC. This prospective, longitudinal study enrolled eligible patients with data collected at pre-radiotherapy, end of radiotherapy, and six months and one-year post-radiotherapy. Fatigue data were reported by patients using the Multidimensional Fatigue Inventory (MFI)-20. DNA methylation (Illumina MethylationEPIC) and gene expression (Applied Biosystems Clariom S) arrays and assays for seven inflammatory markers (R&D Systems multiplex) were performed. Mixed models and enrichment analyses were applied to establish the associations. A total of 386 methylation loci were associated with fatigue among 145 patients (False Discovery Rate [FDR] < 0.05). Enrichment analyses showed the involvement of genes related to immune and inflammatory responses, insulin and lipid metabolism, neuropsychological disorders, and tumors. We further identified 16 methylation-gene expression pairs (FDR < 0.05), which were linked to immune and inflammatory responses and lipid metabolism. Ninety-one percent (351) of the 386 methylation loci were also significantly associated with inflammatory markers (e.g., interleukin 6, c-reactive protein; FDR < 0.05), which further mediated the association between methylation and fatigue (FDR < 0.05). These data suggest that epigenetic modifications associated with inflammation and immunometabolism, in conjunction with relevant gene expression and protein markers, are potential targets for treating fatigue in HNC patients. The findings also merit future prospective studies in other cancer populations as well as interventional investigations.
期刊介绍:
Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.