Literature DB >> 25304131

Associations between cytokine genes and a symptom cluster of pain, fatigue, sleep disturbance, and depression in patients prior to breast cancer surgery.

Sy-Huey Doong1, Anand Dhruva2, Laura B Dunn2, Claudia West1, Steven M Paul1, Bruce A Cooper1, Charles Elboim3, Gary Abrams2, John D Merriman1, Dale J Langford1, Heather Leutwyler1, Christina Baggott1, Kord Kober1, Bradley E Aouizerat4, Christine Miaskowski5.   

Abstract

Pain, fatigue, sleep disturbance, and depression are common and frequently co-occurring symptoms in oncology patients. This symptom cluster is often attributed to the release of proinflammatory cytokines. The purposes of this study were to determine whether distinct latent classes of patients with breast cancer (n = 398) could be identified based on their experience with this symptom cluster, whether patients in these latent classes differed on demographic and clinical characteristics and whether variations in cytokine genes were associated with latent class membership. Three distinct latent classes were identified: "all low" (61.0%), "low pain and high fatigue" (31.6%), "all high" (7.1%). Compared to patients in the all low class, patients in the all high class were significantly younger, had less education, were more likely to be non-White, had a lower annual income, were more likely to live alone, had a lower functional status, had a higher comorbidity score, and had more advanced disease. Significant associations were found between interleukin 6 (IL6) rs2069845, IL13 rs1295686, and tumor necrosis factor alpha rs18800610 and latent class membership. Findings suggest that variations in pro- and anti-inflammatory cytokine genes are associated with this symptom cluster in breast cancer patients.
© The Author(s) 2014.

Entities:  

Keywords:  candidate genes; cytokines; depression; fatigue; interleukin; pain; sleep disturbance; symptom cluster; tumor necrosis factor alpha

Mesh:

Substances:

Year:  2014        PMID: 25304131      PMCID: PMC5486211          DOI: 10.1177/1099800414550394

Source DB:  PubMed          Journal:  Biol Res Nurs        ISSN: 1099-8004            Impact factor:   2.522


  62 in total

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5.  Long-term follow-up of pain and emotional characteristics of women after surgery for breast cancer.

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Review 6.  Obesity and inflammation in children.

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  52 in total

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2.  Impact of Diabetes on the Symptoms of Breast Cancer Survivors.

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Review 4.  Advancing Symptom Science Through Symptom Cluster Research: Expert Panel Proceedings and Recommendations.

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Review 5.  Biological Basis for the Clustering of Symptoms.

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6.  Polymorphisms in Cytokine Genes Are Associated With Higher Levels of Fatigue and Lower Levels of Energy in Women After Breast Cancer Surgery.

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7.  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.

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8.  Gene Expression Profiling of Evening Fatigue in Women Undergoing Chemotherapy for Breast Cancer.

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9.  Latent Class Analysis Reveals Distinct Subgroups of Patients Based on Symptom Occurrence and Demographic and Clinical Characteristics.

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10.  Congruence Between Latent Class and K-Modes Analyses in the Identification of Oncology Patients With Distinct Symptom Experiences.

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Journal:  J Pain Symptom Manage       Date:  2017-08-30       Impact factor: 3.612

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