Background: Tumor necrosis factor (TNF) is a multipotent cytokine involved in inflammation and anti-tumor activity. TNF-αexerts 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. Methods: 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. Results: 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. Conclusions: 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.
背景：肿瘤坏死因子（TNF）是一种参与炎症反应和抗肿瘤活性的多效性细胞因子。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。本研究探讨非小细胞肺癌（NSCLC）患者可溶性TNF-R1（sTNF-R1）水平与治疗及总生存期的关系。方法：本研究共纳入2017年至2019年间在哈勒-维滕贝格大学医学院接受治疗的134例NSCLC患者。通过酶联免疫吸附法测定基线期、治疗期间及治疗后的血清sTNF-R1水平。采用线性混合效应模型评估sTNF-R1随时间的变化趋势，应用线性回归分析临床特征与sTNF-R1变化的关系，并利用Cox回归模型评估其与总死亡率的关联性。结果：基线期sTNF-R1平均水平估计值为2091.71 pg/mL，每日变化量为6.19 pg/mL。Cox模型显示，相较于基线值，sTNF-R1的个体变化与死亡率关联更显著，尤其在调整协变量后该关联性更为明确。结论：本研究证实治疗期间及治疗后sTNF-R1水平的个体变化与死亡风险相关，提示可将sTNF-R1动态轨迹作为预后标志物。
肿瘤(癌症)患者之家