Background:Inflammation plays a crucial role in lung cancer recurrence after surgery. This study aims to investigate the relationship between lung cancer recurrence and perioperative inflammatory status, assessed in both blood and bronchoalveolar lavage (BAL) fluid.Methods:We conducted a retrospective cohort study analyzing clinical variables, blood cytokine levels, and BAL fluid from lung cancer patients who underwent surgery. Logistic regression models were employed to predict recurrence.Results:Among 93 patients, 41.9% experienced recurrence within ten years. The logistic regression model identified vital status, tumor stage, and type of surgery as significant predictors of recurrence. Postoperatively, pro-inflammatory cytokines were elevated, particularly in patients who experienced recurrence. Higher levels of TNF-α in BAL fluid and increased IL-6 in blood correlated with recurrence. Additionally, metalloproteinases in BAL fluid exhibited distinct associations: MMP-2 was identified as a risk factor, whereas MMP-9 appeared to have a protective role. A multivariate model integrating clinical variables and inflammatory biomarkers significantly improved predictive accuracy (p< 0.0001).Discussion:Combining inflammatory biomarkers with clinical variables enhances the prediction of lung cancer recurrence after surgery. Understanding the dynamics of these biomarkers may facilitate early detection and enable more personalized treatment strategies.
背景：炎症在肺癌术后复发中扮演关键角色。本研究旨在探讨肺癌复发与围手术期炎症状态之间的关系，通过血液和支气管肺泡灌洗液（BAL）进行评估。 方法：我们开展了一项回顾性队列研究，分析了接受手术的肺癌患者的临床变量、血液细胞因子水平及BAL液。采用逻辑回归模型预测复发情况。 结果：在93例患者中，41.9%在十年内出现复发。逻辑回归模型显示，生存状态、肿瘤分期和手术类型是复发的重要预测因素。术后促炎细胞因子水平升高，尤其在复发患者中更为明显。BAL液中较高的TNF-α水平及血液中升高的IL-6与复发相关。此外，BAL液中的金属蛋白酶表现出不同的关联：MMP-2被确定为风险因素，而MMP-9似乎具有保护作用。整合临床变量与炎症生物标志物的多变量模型显著提高了预测准确性（p<0.0001）。 讨论：将炎症生物标志物与临床变量结合可增强肺癌术后复发的预测能力。了解这些生物标志物的动态变化可能有助于早期发现复发，并为制定更个性化的治疗策略提供依据。
肿瘤(癌症)患者之家