A Cross-Sectional Exploration of Cytokine-Symptom Networks in Breast Cancer Survivors Using Network Analysis.

A Cross-Sectional Exploration of Cytokine-Symptom Networks in Breast Cancer Survivors Using Network Analysis.
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使用网络分析对乳腺癌幸存者的细胞因子-症状网络进行横断面探索。

DOI:
10.1177/0844562120927535
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发表时间:
2021-09
期刊:
The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres
影响因子:
--
通讯作者:
Sales AC
Sales AC
中科院分区:
其他
文献类型:
--
作者:
Henneghan A;Wright ML;Bourne G;Sales AC

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本研究的目的是(a)可视化乳腺癌-细胞因子网络(感知压力,疲劳,孤独,感知认知障碍[PCI],白天嗜睡,睡眠质量,13种细胞因子)和(B)探索完成化疗治疗的乳腺癌幸存者(BCS)的乳腺癌-细胞因子网络的中心性指标。对从66例平均化疗后3年的BCS中收集的数据进行横断面分析。感知压力,疲劳,孤独,PCI,白天嗜睡和睡眠质量进行了测量与自我报告的仪器和一组13个细胞因子进行了测量,从血清中使用多重测定。症状和细胞因子同时进行相关性,网络分析和社区分析。网络分析显示,具有最大程度和接近度的节点是IL-2、GM-CSF、IL-13和PCI。PCI和IL-2的节点介数最高。社区分析揭示了网络中两个独立的节点社区(症状和细胞因子)。几条边连接两个社区,包括PCI、应激、疲劳、抑郁、IL-2、GM-CSF、IL-8、IL-13和IL-10。偏相关分析显示,IL-2与疲劳、孤独、压力和PCI之间存在显著的负相关(r =-0.27至-0.37,p <0.05),PCI与GM-CSF之间存在显著的负相关(r=-0.34,p<0.01)。我们的分析支持PCI、压力、孤独、抑郁症状和疲劳共同发生,并通过表明IL-2可能有助于这些共同发生的症状的潜在机制途径来扩展文献。我们的研究结果增加了越来越多的文献,这些文献正在转向研究共同出现或集群的症状,而不是单个症状。
The purpose of this study is to (a) visualize the symptom-cytokine networks (perceived stress, fatigue, loneliness, perceived cognitive impairment [PCI], daytime sleepiness, sleep quality, 13 cytokines) and (b) explore centrality metrics of symptom-cytokine networks in breast cancer survivors (BCS) who completed chemotherapy treatment. Cross sectional analysis of data collected from 66 BCS who were on average 3 years post chemotherapy completion. Perceived stress, fatigue, loneliness, PCI, daytime sleepiness, and sleep quality were measured with self-report instruments and a panel of 13 cytokines were measured from serum using multiplex assays. Symptoms and cytokines were simultaneously evaluated with correlations, network analysis, and community analysis. Network analysis revealed the nodes with the greatest degree and closeness were IL-2, GM-CSF, IL-13, and PCI. Node betweenness was highest for PCI and IL-2. Community analysis revealed two separate communities of nodes within the network (symptoms and the cytokines). Several edges connected the two communities including PCI, stress, fatigue, depression, IL-2, GM-CSF, IL-8, IL-13, and IL-10. Partial correlation analyses revealed significant negative relationships between Il-2 and fatigue, loneliness, stress, and PCI (r’s = −.27 to −.37, p’s <.05) and a significant negative relationship between PCI and GM-CSF (r=−.34, p<.01). Our analyses support that PCI, stress, loneliness, depressive symptoms and fatigue co-occur and extend the literature by suggesting that IL-2 may contribute to the underlying mechanistic pathway of these co-occurring symptoms. Our findings add to a growing body of literature that is shifting to study symptoms as they co-occur, or cluster, rather than individual symptoms.
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