Symptom clusters of pain, depressed mood, and fatigue in lung cancer: Assessing the role of cytokine genes

Cielito C. Reyes-Gibby, Michael D. Swartz, Xiaoying Yu, Xifeng Wu, Sriram Yennurajalingam, Karen O. Anderson, Margaret R. Spitz, Sanjay Shete

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Purpose: Symptom clusters, the multiple, co-occurring symptoms experienced by cancer patients, are debilitating and affects quality of life. We assessed if a panel of immune-response genes may underlie the co-occurrence of severe pain, depressed mood, and fatigue and help identify patients with severe versus non-severe symptom clusters. Methods: Symptoms were assessed at presentation, prior to cancer treatment in 599 newly diagnosed lung cancer patients. We applied cluster analyses to determine the patients with severe versus non-severe symptom clusters of pain, depressed mood, and fatigue. Results: Two homogenous clusters were identified. One hundred sixteen patients (19 %) comprised the severe symptom cluster, reporting high intensity of pain, depressed mood, and fatigue and 183 (30 %) patients reported low intensity of these symptoms. Using Bayesian model averaging methodology, we found that of the 55 single nucleotide polymorphisms assessed, an additive effect of mutant alleles in endothelial nitric oxide synthase (-1474 T/A) (posterior probability of inclusion (PPI) = 0.78, odds ratio (OR) = 0.54, 95 % credible interval (CI) = (0.31, 0.93)); IL1B T-31C (PPI = 0.72, OR = 0.55, 95 % CI = (0.31, 0.97)); TNFR2 Met 196Arg (PPI = 0.70, OR = 1.85, 95 % CI = (1.03, 3.36)); PTGS2 exon 10+837T > C (PPI = 0.69, OR = 0.54, 95 % CI = (0.28, 0.99)); and IL10RB Lys47Glu (PPI = 0.68; OR = 1.74; 95 % CI = (1.04, 2.92)) were predictive for symptom clusters. Conclusions: Genetic polymorphisms may facilitate identification of high-risk patients and development of individualized symptom therapies.

Original languageEnglish (US)
Pages (from-to)3117-3125
Number of pages9
JournalSupportive Care in Cancer
Volume21
Issue number11
DOIs
StatePublished - Nov 2013
Externally publishedYes

Fingerprint

Fatigue
Lung Neoplasms
Cytokines
Pain
Odds Ratio
Genes
Receptors, Tumor Necrosis Factor, Type II
Nitric Oxide Synthase Type III
Genetic Polymorphisms
Cyclooxygenase 2
Single Nucleotide Polymorphism
Cluster Analysis
Exons
Neoplasms
Alleles
Quality of Life
Therapeutics

Keywords

  • Cytokines
  • Depression
  • Epidemiology
  • Fatigue
  • Genes
  • Lung cancer
  • Pain
  • SNPs
  • Symptoms

ASJC Scopus subject areas

  • Oncology

Cite this

Reyes-Gibby, C. C., Swartz, M. D., Yu, X., Wu, X., Yennurajalingam, S., Anderson, K. O., ... Shete, S. (2013). Symptom clusters of pain, depressed mood, and fatigue in lung cancer: Assessing the role of cytokine genes. Supportive Care in Cancer, 21(11), 3117-3125. https://doi.org/10.1007/s00520-013-1885-5

Symptom clusters of pain, depressed mood, and fatigue in lung cancer : Assessing the role of cytokine genes. / Reyes-Gibby, Cielito C.; Swartz, Michael D.; Yu, Xiaoying; Wu, Xifeng; Yennurajalingam, Sriram; Anderson, Karen O.; Spitz, Margaret R.; Shete, Sanjay.

In: Supportive Care in Cancer, Vol. 21, No. 11, 11.2013, p. 3117-3125.

Research output: Contribution to journalArticle

Reyes-Gibby, CC, Swartz, MD, Yu, X, Wu, X, Yennurajalingam, S, Anderson, KO, Spitz, MR & Shete, S 2013, 'Symptom clusters of pain, depressed mood, and fatigue in lung cancer: Assessing the role of cytokine genes', Supportive Care in Cancer, vol. 21, no. 11, pp. 3117-3125. https://doi.org/10.1007/s00520-013-1885-5
Reyes-Gibby, Cielito C. ; Swartz, Michael D. ; Yu, Xiaoying ; Wu, Xifeng ; Yennurajalingam, Sriram ; Anderson, Karen O. ; Spitz, Margaret R. ; Shete, Sanjay. / Symptom clusters of pain, depressed mood, and fatigue in lung cancer : Assessing the role of cytokine genes. In: Supportive Care in Cancer. 2013 ; Vol. 21, No. 11. pp. 3117-3125.
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abstract = "Purpose: Symptom clusters, the multiple, co-occurring symptoms experienced by cancer patients, are debilitating and affects quality of life. We assessed if a panel of immune-response genes may underlie the co-occurrence of severe pain, depressed mood, and fatigue and help identify patients with severe versus non-severe symptom clusters. Methods: Symptoms were assessed at presentation, prior to cancer treatment in 599 newly diagnosed lung cancer patients. We applied cluster analyses to determine the patients with severe versus non-severe symptom clusters of pain, depressed mood, and fatigue. Results: Two homogenous clusters were identified. One hundred sixteen patients (19 {\%}) comprised the severe symptom cluster, reporting high intensity of pain, depressed mood, and fatigue and 183 (30 {\%}) patients reported low intensity of these symptoms. Using Bayesian model averaging methodology, we found that of the 55 single nucleotide polymorphisms assessed, an additive effect of mutant alleles in endothelial nitric oxide synthase (-1474 T/A) (posterior probability of inclusion (PPI) = 0.78, odds ratio (OR) = 0.54, 95 {\%} credible interval (CI) = (0.31, 0.93)); IL1B T-31C (PPI = 0.72, OR = 0.55, 95 {\%} CI = (0.31, 0.97)); TNFR2 Met 196Arg (PPI = 0.70, OR = 1.85, 95 {\%} CI = (1.03, 3.36)); PTGS2 exon 10+837T > C (PPI = 0.69, OR = 0.54, 95 {\%} CI = (0.28, 0.99)); and IL10RB Lys47Glu (PPI = 0.68; OR = 1.74; 95 {\%} CI = (1.04, 2.92)) were predictive for symptom clusters. Conclusions: Genetic polymorphisms may facilitate identification of high-risk patients and development of individualized symptom therapies.",
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AU - Swartz, Michael D.

AU - Yu, Xiaoying

AU - Wu, Xifeng

AU - Yennurajalingam, Sriram

AU - Anderson, Karen O.

AU - Spitz, Margaret R.

AU - Shete, Sanjay

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N2 - Purpose: Symptom clusters, the multiple, co-occurring symptoms experienced by cancer patients, are debilitating and affects quality of life. We assessed if a panel of immune-response genes may underlie the co-occurrence of severe pain, depressed mood, and fatigue and help identify patients with severe versus non-severe symptom clusters. Methods: Symptoms were assessed at presentation, prior to cancer treatment in 599 newly diagnosed lung cancer patients. We applied cluster analyses to determine the patients with severe versus non-severe symptom clusters of pain, depressed mood, and fatigue. Results: Two homogenous clusters were identified. One hundred sixteen patients (19 %) comprised the severe symptom cluster, reporting high intensity of pain, depressed mood, and fatigue and 183 (30 %) patients reported low intensity of these symptoms. Using Bayesian model averaging methodology, we found that of the 55 single nucleotide polymorphisms assessed, an additive effect of mutant alleles in endothelial nitric oxide synthase (-1474 T/A) (posterior probability of inclusion (PPI) = 0.78, odds ratio (OR) = 0.54, 95 % credible interval (CI) = (0.31, 0.93)); IL1B T-31C (PPI = 0.72, OR = 0.55, 95 % CI = (0.31, 0.97)); TNFR2 Met 196Arg (PPI = 0.70, OR = 1.85, 95 % CI = (1.03, 3.36)); PTGS2 exon 10+837T > C (PPI = 0.69, OR = 0.54, 95 % CI = (0.28, 0.99)); and IL10RB Lys47Glu (PPI = 0.68; OR = 1.74; 95 % CI = (1.04, 2.92)) were predictive for symptom clusters. Conclusions: Genetic polymorphisms may facilitate identification of high-risk patients and development of individualized symptom therapies.

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