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.
复制标题
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:
影响因子:
--
通讯作者:
Sales AC
中科院分区:
文献类型:
--
作者:
Henneghan A;Wright ML;Bourne G;Sales AC
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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影响因子:
5
作者:
COHEN, S;KAMARCK, T;MERMELSTEIN, R
通讯作者:
MERMELSTEIN, R
影响因子:
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作者:
Fagundes C;LeRoy A;Karuga M
通讯作者:
Karuga M
影响因子:
9.3
作者:
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通讯作者:
Weickert CS
影响因子:
3.3
作者:
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通讯作者:
Ganz PA
影响因子:
11.3
作者:
BUYSSE, DJ;REYNOLDS, CF;KUPFER, DJ
通讯作者:
KUPFER, DJ