Cytokine gene variation is associated with depressive symptom trajectories in oncology patients and family caregivers

School of Medicine, University of California, San Francisco, CA, USA. Electronic address: .
European journal of oncology nursing: the official journal of European Oncology Nursing Society (Impact Factor: 1.43). 11/2012; 17(3). DOI: 10.1016/j.ejon.2012.10.004
Source: PubMed


Depressive symptoms are common in cancer patients and their family caregivers (FCs). While these symptoms are characterized by substantial interindividual variability, the factors that predict this variability remain largely unknown. This study sought to confirm latent classes of oncology patients and FCs with distinct depressive symptom trajectories and to examine differences in phenotypic and genotypic characteristics among these classes.

Among 167 oncology outpatients with breast, prostate, lung, or brain cancer and 85 of their FCs, growth mixture modeling (GMM) was used to identify latent classes of individuals based on Center for Epidemiological Studies-Depression (CES-D) scores obtained prior to, during, and for four months following completion of radiation therapy. One hundred four single nucleotide polymorphisms (SNPs) and haplotypes in 15 candidate cytokine genes were interrogated for differences between the two largest latent classes. Multivariate logistic regression analyses assessed effects of phenotypic and genotypic characteristics on class membership.

Four latent classes were confirmed: Resilient (56.3%), Subsyndromal (32.5%), Delayed (5.2%), and Peak (6.0%). Participants who were younger, female, non-white, and who reported higher baseline trait and state anxiety were more likely to be in the Subsyndromal, Delayed, or Peak groups. Variation in three cytokine genes (i.e., interleukin 1 receptor 2 [IL1R2], IL10, tumor necrosis factor alpha [TNFA]), age, and performance status predicted membership in the Resilient versus Subsyndromal classes.

Findings confirm the four latent classes of depressive symptom trajectories previously identified in a sample of breast cancer patients. Variations in cytokine genes may influence variability in depressive symptom trajectories.

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    • "of two SNPs ( i . e . , rs11674595 , rs7570441 ) . Each additional dose of IL1R2 HapA2 was associated with a 2 . 08 increase in the odds of belonging to the high sustained sleep disturbance class . Prior to this study , no as - sociations were found between this haplotype and sleep distur - bance . However in another study from our research team ( Dunn et al . , 2013 ) , a different haplotype in the same region ( i . e . , a 3 - SNP haplotype composed of the rare C allele of rs4141134 , the common T allele of rs11674595 , and the rare A allele of rs7570441 ) was associated with a 2 - fold increase in the odds of belonging to the class with a higher level of depressive symptoms . While the functions "
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