Hassan Lamiaa, Bedir Ahmed, Kraus Frank Bernhard, Ostheimer Christian, Vordermark Dirk, Mikolajczyk Rafael, Seliger Barbara, Medenwald Daniel
Institute of Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany.
Department of Radiation Oncology, Health Services Research Group, University Hospital Halle (Saale), 06120 Halle (Saale), Germany.
Cancers (Basel). 2024 Jan 26;16(3):525. doi: 10.3390/cancers16030525.
Tumor necrosis factor (TNF) is a multipotent cytokine involved in inflammation and anti-tumor activity. TNF-α exerts its function upon binding to TNF-receptor 1 (TNF-R1) and TNF-receptor 2 (TNF-R2). This study investigates the relationship of soluble (s) TNF-R1 levels in non-small-cell lung cancer (NSCLC) patients with treatment and overall survival.
In total, 134 NSCLC patients treated at the Medical Faculty of Martin Luther University Halle-Wittenberg between 2017 and 2019 were included in this study. Serum levels of sTNF-R1 were measured via ELISA at baseline and during and after treatment. A linear mixed-effects model was used to assess sTNF-R1 changes over time. Linear regression was applied to investigate the association between clinical characteristics and changes in sTNF-R1. Cox regression models were used to estimate associations with overall mortality.
The estimated average sTNFR-1 at baseline was 2091.71 pg/mL, with a change of 6.19 pg/mL per day. Cox models revealed that the individual change in sTNF-R1 was more strongly associated with mortality than its baseline value, especially after adjusting for covariates.
This study provides evidence that the individual change in sTNF-R1 levels during and after treatment were associated with the risk of mortality, suggesting the use of the sTNF-R1 trajectory as a prognostic marker.
肿瘤坏死因子(TNF)是一种参与炎症和抗肿瘤活性的多效细胞因子。TNF-α通过与肿瘤坏死因子受体1(TNF-R1)和肿瘤坏死因子受体2(TNF-R2)结合发挥其功能。本研究调查了非小细胞肺癌(NSCLC)患者中可溶性(s)TNF-R1水平与治疗及总生存期的关系。
本研究纳入了2017年至2019年期间在马丁路德大学哈雷-维滕贝格医学院接受治疗的134例NSCLC患者。在基线、治疗期间及治疗后通过酶联免疫吸附测定法(ELISA)测量血清sTNF-R1水平。使用线性混合效应模型评估sTNF-R1随时间的变化。应用线性回归研究临床特征与sTNF-R1变化之间的关联。采用Cox回归模型估计与总死亡率的关联。
基线时sTNFR-1的估计平均值为2091.71 pg/mL,每天变化6.19 pg/mL。Cox模型显示,sTNF-R1的个体变化比其基线值与死亡率的关联更强,尤其是在调整协变量之后。
本研究提供的证据表明,治疗期间及治疗后sTNF-R1水平的个体变化与死亡风险相关,提示将sTNF-R1轨迹用作预后标志物。