4.2 Article

Associations Between Cytokine Genes and a Symptom Cluster of Pain, Fatigue, Sleep Disturbance, and Depression in Patients Prior to Breast Cancer Surgery

期刊

BIOLOGICAL RESEARCH FOR NURSING
卷 17, 期 3, 页码 237-247

出版社

SAGE PUBLICATIONS INC
DOI: 10.1177/1099800414550394

关键词

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

类别

资金

  1. National Cancer Institute (NCI) [CA107091, CA118658]
  2. Mount Zion Health Fund
  3. NCI [CA168960]
  4. NIH Mentored Patient-Oriented Research Career Development Award [K23 AT005340]
  5. Department of Defense Breast Cancer Research Program Postdoctoral Fellowship
  6. NINR [F31 NR012604]
  7. ACS Doctoral Degree Scholarship [DSCN-10-087]
  8. Oncology Nursing Society Doctoral Scholarship
  9. UCSF Nursing Alumni Association Scholarship
  10. American Cancer Society Mentored Research Scholar Award [MRSG 12-01-PCSM]
  11. KL2 Program [RR624130]
  12. NIH/NCRR UCSF-CTSI [UL1 RR024131]

向作者/读者索取更多资源

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.

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