ArticleBiological research for nursing2019
A Pilot Study Using a Multistaged Integrated Analysis of Gene Expression and Methylation to Evaluate Mechanisms for Evening Fatigue in Women Who Received Chemotherapy for Breast Cancer.
Article in Biological research for nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Novel epigenetic and transcriptomic profiles of immune, inflammatory, and cellular transduction pathways are associated with chronic perceived stress in midlife women.Brain, behavior, & immunity - health · 2026Article
- Epigenetic age acceleration, telomere length, and neurocognitive function in long-term survivors of childhood cancer.Nature communications · 2025Article
- Article
- Transcriptomic Profiles and Functional Correlates of Cancer-Related Fatigue: A Cross-Sectional Study in Women Undergoing Cancer Treatment.European journal of cancer care · 2025Article
- Current evidence supporting associations of DNA methylation measurements with survivorship burdens in cancer survivors: A scoping review.Cancer medicine · 2024Article
- Associations of differentially expressed genes with psychoneurological symptoms in patients with head and neck cancer: A longitudinal study.Journal of psychosomatic research · 2023Article
- Higher Stress in Oncology Patients is Associated With Cognitive and Evening Physical Fatigue Severity.Journal of pain and symptom management · 2023Article
- Differential DNA methylation following chemotherapy for breast cancer is associated with lack of memory improvement at one year.Epigenetics · 2020Article
- Epigenetic Regulation of Inflammatory Mechanisms and a Psychological Symptom Cluster in Patients Receiving Chemotherapy.Nursing researchArticle
- Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
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Abstract
contextFatigue is the most common symptom associated with cancer and its treatment. Investigation of molecular mechanisms associated with fatigue may identify new therapeutic targets.
objectiveThe objective of this pilot study was to evaluate the relationships between gene expression and methylation status and evening fatigue severity in women with breast cancer who received chemotherapy.
methodsLatent class analysis (LCA) was used to identify evening fatigue phenotypes. In this analysis, the lowest (i.e., moderate, n = 7) and highest (i.e., very high, n = 29) fatigue-severity classes identified using LCA were analyzed via two stages. First, a total of 32,609 transcripts from whole blood were evaluated for differences in expression levels between the classes. Next, 637 methylation sites located within the putative transcription factor binding sites for those genes demonstrating differential expression were evaluated for differential methylation state between the classes.
resultsA total of 89 transcripts in 75 unique genes were differentially expressed between the moderate (the lowest fatigue-severity class identified) and very high evening fatigue classes. In addition, 23 differentially methylated probes and three differentially methylated regions were found between the moderate and very high evening fatigue classes.
conclusionsUsing a multistaged integrated analysis of gene expression and methylation, differential methylation was identified in the regulatory regions of genes associated with previously hypothesized mechanisms for fatigue, including inflammation, immune function, neurotransmission, circadian rhythm, skeletal muscle energy, carbohydrate metabolism, and renal function as well as core biological processes including gene transcription and the cell-cycle regulation.
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