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DNA methylation profiles of cancer-related fatigue associated with markers of inflammation and immunometabolism

Abstract

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.

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Fig. 1
Fig. 2
Fig. 3: Scatter plots of the top 10 significant methylation sites in the promoter region associated with fatigue.
Fig. 4: Scatter plots of the top 10 significant methylation sites in the promoter region associated with inflammatory markers.

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Data availability

The data analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

Codes will be available upon request and communication with the corresponding author.

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Funding

Funding

The study was supported by NINR at NIH (grant number K99/R00NR014587, R01NR015783) and NCI at NIH (grant number P30CA138292).

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Conceptualization: CX, GP, KC, DB, AM; Data curation: CX, JF, EW, KH, DS, NS, DB, AM; Formal analysis: CX, GP, HZ, KC; Funding acquisition: CX, KC, DB, AM; Investigation: CX, KH, DS, NS, DB, AM; Methodology: CX, GP, KC, HZ, JF, EW, KH, DS, NS, DB, AM; Project administration: CX, EW; Validation: CX, KC, HZ, JF; Writing – original draft: CX, GP, KC, AM; Writing – review & editing: CX, GP, KC, HZ, JF, EW, KH, DS, NS, DB, AM.

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Correspondence to Canhua Xiao.

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Xiao, C., Peng, G., Conneely, K.N. et al. DNA methylation profiles of cancer-related fatigue associated with markers of inflammation and immunometabolism. Mol Psychiatry (2024). https://doi.org/10.1038/s41380-024-02652-z

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