Associations between cytokine gene variations and self-reported sleep disturbance in women following breast cancer surgery |
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| Affiliation: | 1. School of Nursing, University of California, San Francisco, CA, USA;2. School of Medicine, University of California, San Francisco, CA, USA;3. Redwood Regional Medical Group, Santa Rosa, CA, USA;4. Institute for Human Genetics, University of California, San Francisco, CA, USA;1. Department of Anaesthesia, Intensive Care Medicine, Emergency Medicine and Pain Medicine, Helsinki University Central Hospital, Helsinki, Finland;2. Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland;3. Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland;4. Institute of Clinical Medicine, Faculty of Medicine, University of Helsinki, Helsinki, Finland;1. Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal;2. EPIUnit – Institute of Public Health of the University of Porto (ISPUP), Porto, Portugal;3. Department of Neurology, Portuguese Oncology Institute, Porto, Portugal;4. Department of Psychiatry and Sleep Medicine Center, CUF Porto Hospital, Porto, Portugal;1. School of Nursing, University of California, San Francisco, San Francisco, California;2. School of Medicine, University of California, San Francisco, San Francisco, California;3. Department of Oral Maxillofacial Surgery, New York University College of Dentistry, New York, New York;4. Redwood Regional Medical Group, Santa Rosa, California;5. Institute for Human Genetics, University of California, San Francisco, San Francisco, California;1. ISPUP – EPIUnit, Universidade do Porto, Porto, Portugal;2. Centro de Medicina do Sono – Hospital CUF Porto, Porto, Portugal;3. Instituto Português de Oncologia do Porto, Porto, Portugal;4. Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal;1. School of Nursing, University of California, San Francisco, California;2. School of Medicine, University of California, San Francisco, California;3. Redwood Regional Medical Group, Santa Rosa, California;4. College of Dentistry, New York University, New York, New York;1. National Institute of Nursing Research, National Institutes of Health, Bethesda, Maryland, USA;2. National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA |
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| Abstract: | Purpose of the researchTo attempt to replicate the associations found in our previous study of patients and family caregivers between interleukin 6 (IL6) and nuclear factor kappa beta 2 (NFKB2) and sleep disturbance and to identify additional genetic associations in a larger sample of patients with breast cancer.Methods and samplePatients with breast cancer (n = 398) were recruited prior to surgery and followed for six months. Patients completed a self-report measure of sleep disturbance and provided a blood sample for genomic analyses. Growth mixture modeling was used to identify distinct latent classes of patients with higher and lower levels of sleep disturbance.Key resultsPatients who were younger and who had higher comorbidity and lower functional status were more likely to be in the high sustained sleep disturbance class. Variations in three cytokine genes (i.e., IL1 receptor 2 (IL1R2), IL13, NFKB2) predicted latent class membership.ConclusionsPolymorphisms in cytokine genes may partially explain inter-individual variability in sleep disturbance. Determination of high risk phenotypes and associated molecular markers may allow for earlier identification of patients at higher risk for developing sleep disturbance and lead to the development of more targeted clinical interventions. |
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| Keywords: | Sleep disturbance Breast cancer Cytokine genes Growth mixture modeling Symptom trajectories Insomnia |
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