TY - JOUR
T1 - Cytokine gene variation is associated with depressive symptom trajectories in oncology patients and family caregivers
AU - Dunn, Laura B.
AU - Aouizerat, Bradley E.
AU - Langford, Dale J.
AU - Cooper, Bruce A.
AU - Dhruva, Anand
AU - Cataldo, Janine K.
AU - Baggott, Christina R.
AU - Merriman, John D.
AU - Dodd, Marylin
AU - West, Claudia
AU - Paul, Steven M.
AU - Miaskowski, Christine
PY - 2013/6
Y1 - 2013/6
N2 - Purpose: 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. Method: 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. Results: 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. Conclusions: 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.
AB - Purpose: 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. Method: 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. Results: 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. Conclusions: 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.
KW - Cancer
KW - Cytokines
KW - Depression
KW - Family caregivers
KW - Genetics
KW - Growth mixture modeling
KW - Radiation therapy
UR - http://www.scopus.com/inward/record.url?scp=84876314568&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876314568&partnerID=8YFLogxK
U2 - 10.1016/j.ejon.2012.10.004
DO - 10.1016/j.ejon.2012.10.004
M3 - Article
C2 - 23187335
AN - SCOPUS:84876314568
SN - 1462-3889
VL - 17
SP - 346
EP - 353
JO - European Journal of Oncology Nursing
JF - European Journal of Oncology Nursing
IS - 3
ER -