Abstract | CONTEXT: Most of the reviews on the biological basis for symptom clusters suggest that inflammatory processes are involved in the development and maintenance of the symptom clusters. However, no studies have evaluated for associations between genetic polymorphisms and common symptom clusters (e.g., mood disturbance, sickness behavior). OBJECTIVES: METHODS: Symptom severity was assessed using the Memorial Symptom Assessment Scale. Symptom clusters were created using exploratory factor analysis. The associations between cytokine gene polymorphisms and the symptom cluster severity scores were evaluated using regression analyses. RESULTS: CONCLUSION: Our findings support the hypotheses that symptoms that cluster together have a common underlying mechanism and the most common symptom clusters in oncology patients are associated polymorphisms in genes involved in a variety of inflammatory processes.
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Authors | Christine Miaskowski, Yvette P Conley, Judy Mastick, Steven M Paul, Bruce A Cooper, Jon D Levine, Mitchell Knisely, Kord M Kober |
Journal | Journal of pain and symptom management
(J Pain Symptom Manage)
Vol. 54
Issue 3
Pg. 305-316.e3
(09 2017)
ISSN: 1873-6513 [Electronic] United States |
PMID | 28797847
(Publication Type: Journal Article, Research Support, N.I.H., Extramural)
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Copyright | Copyright © 2017 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved. |
Chemical References |
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Topics |
- Breast Neoplasms
(genetics, physiopathology, psychology, radiotherapy)
- Comorbidity
- Cytokines
(genetics)
- Factor Analysis, Statistical
- Female
- Genetic Association Studies
- Humans
- Linear Models
- Longitudinal Studies
- Male
- Middle Aged
- Phenotype
- Polymorphism, Genetic
- Principal Component Analysis
- Prostatic Neoplasms
(genetics, physiopathology, psychology, radiotherapy)
- Regression Analysis
- Self Report
- Severity of Illness Index
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