Abstract
Purpose of the research
To 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 sample
Patients 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 results
Patients 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.
Conclusions
Polymorphisms 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.
Keywords
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Article info
Publication history
Published online: September 09, 2013
Identification
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© 2013 Elsevier Ltd. Published by Elsevier Inc. All rights reserved.
