Psychoneurological Symptoms and Biomarkers of Stress and Inflammation in Newly Diagnosed Head and Neck Cancer Patients: A Network Analysis.

Psychoneurological symptoms are commonly reported by newly diagnosed head and neck cancer (HNC) patients, yet there is limited research on the associations of these symptoms with biomarkers of stress and inflammation. In this article, pre-treatment data of a multi-center cohort of HNC patients were...

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Publicado en:Current Oncology Vol. 29; no. 10; pp. 7109 - 7122
Autores principales: Santoso, Angelina M. M., Jansen, Femke, Peeters, Carel F. W., Baatenburg de Jong, Robert J., Brakenhoff, Ruud H., Langendijk, Johannes A., Leemans, C. René, Takes, Robert P., Terhaard, Chris H. J., van Straten, Annemieke, Verdonck-de Leeuw, Irma M.
Formato: Journal Article
Publicado: MDPI Oct2022
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Psychoneurological Symptoms and Biomarkers of Stress and Inflammation in Newly Diagnosed Head and Neck Cancer Patients: A Network Analysis.
      aug:
        au:
          Santoso, Angelina M. M.
          Jansen, Femke
          Peeters, Carel F. W.
          Baatenburg de Jong, Robert J.
          Brakenhoff, Ruud H.
          Langendijk, Johannes A.
          Leemans, C. René
          Takes, Robert P.
          Terhaard, Chris H. J.
          van Straten, Annemieke
          Verdonck-de Leeuw, Irma M.
        affil: Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences & Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
      sug:
      ab: Psychoneurological symptoms are commonly reported by newly diagnosed head and neck cancer (HNC) patients, yet there is limited research on the associations of these symptoms with biomarkers of stress and inflammation. In this article, pre-treatment data of a multi-center cohort of HNC patients were analyzed using a network analysis to examine connections between symptoms (poor sleep quality, anxiety, depression, fatigue, and oral pain), biomarkers of stress (diurnal cortisol slope), inflammation markers (c-reactive protein [CRP], interleukin [IL]-6, IL-10, and tumor necrosis factor alpha [TNF-α]), and covariates (age and body mass index [BMI]). Three centrality indices were calculated: degree (number of connections), closeness (proximity of a variable to other variables), and betweenness (based on the number of times a variable is located on the shortest path between any pair of other variables). In a sample of 264 patients, poor sleep quality and fatigue had the highest degree index; fatigue and CRP had the highest closeness index; and IL-6 had the highest betweenness index. The model yielded two clusters: a symptoms—cortisol slope—CRP cluster and a IL-6—IL-10—TNF-α—age—BMI cluster. Both clusters were connected most prominently via IL-6. Our findings provide evidence that poor sleep quality, fatigue, CRP, and IL-6 play an important role in the interconnections between psychoneurological symptoms and biomarkers of stress and inflammation in newly diagnosed HNC patients.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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