Li Huayu, Shi Xiaohan, Yang Fan, Zhang Xinrui, Li Feng
School of Nursing and Rehabilitation, Shandong University, Jinan, China.
School of Physical Education, Yantai University, Yantai, China.
Front Psychiatry. 2022 Jun 9;13:930985. doi: 10.3389/fpsyt.2022.930985. eCollection 2022.
Depression commonly develops as a comorbid disorder related to glioma, which affects the patients' physical function and prognosis. Circulating inflammatory cytokines are potential predictors of depression in disparate cancers. However, less research has specifically investigated this aspect within the context of glioma.
The objective of this study was to investigate the occurrence of depression in patients with glioma and draw a comparison of the ability to predict it through diverse inflammatory cytokines.
A total of 203 patients with stage I-IV glioma were enrolled in this study. Depression was evaluated according to the Hamilton Depression Scale, and the plasma inflammatory cytokines levels were simultaneously measured. We performed the receiver operating characteristic (ROC) analysis to confirm the abilities of identified inflammatory cytokines to predict depression.
Among the 203 patients with glioma, 135 (66.5%) showed obvious depressive symptoms. Proinflammatory cytokines, including interleukin (IL)-6 (area under the curve (AUC) = 0.76) and tumor necrosis factor (TNF)-α (AUC = 0.75), showed good performance in accurately predicting depression in patients with glioma. These inflammatory cytokines indicated great potential to be depression biomarkers regardless of the patients' disparate treatment experience.
With their relatively simple and time-saving measurement procedures, inflammatory cytokines should be seriously considered effective clinical screening and diagnostic tools, as well as potential biomarkers for depression in patients with glioma.
抑郁症通常作为与胶质瘤相关的共病出现,这会影响患者的身体功能和预后。循环炎症细胞因子是不同癌症中抑郁症的潜在预测指标。然而,在胶质瘤背景下专门对此方面进行研究的较少。
本研究的目的是调查胶质瘤患者中抑郁症的发生情况,并比较通过多种炎症细胞因子预测抑郁症的能力。
本研究共纳入203例I-IV期胶质瘤患者。根据汉密尔顿抑郁量表评估抑郁症,并同时测量血浆炎症细胞因子水平。我们进行了受试者操作特征(ROC)分析,以确认所鉴定的炎症细胞因子预测抑郁症的能力。
在203例胶质瘤患者中,135例(66.5%)表现出明显的抑郁症状。促炎细胞因子,包括白细胞介素(IL)-6(曲线下面积(AUC)=0.76)和肿瘤坏死因子(TNF)-α(AUC =0.75),在准确预测胶质瘤患者抑郁症方面表现良好。无论患者的治疗经历如何,这些炎症细胞因子都显示出作为抑郁症生物标志物的巨大潜力。
由于炎症细胞因子的测量程序相对简单且省时,应认真考虑将其作为有效的临床筛查和诊断工具,以及胶质瘤患者抑郁症的潜在生物标志物。