Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Cancer Med. 2022 Dec;11(24):4796-4805. doi: 10.1002/cam4.4808. Epub 2022 May 12.
Pulmonary function can predict all-cause mortality, and chronic obstructive pulmonary disease (COPD) is associated with worse overall survival (OS) in non-small cell lung cancer (NSCLC) patients. Though pre-operative lung function is predictive of in-hospital mortality following lung cancer surgery, its predictive utility for long-term survival is unclear. The prognostic role of commonly used spirometry tests in survival of lung cancer also remains uncertain. This study evaluates the role of spirometry at lung cancer diagnosis in predicting OS of NSCLC patients. This was a retrospective study using data from the Boston Lung Cancer Study on newly diagnosed NSCLC patients with spirometry tests performed before cancer therapy (n = 2805). Spirometric test values, after being categorized using quartiles, were analyzed for association with OS using univariate and risk-adjusted multiple regression models. Further, we analyzed OS by the status of COPD determined by spirometry, and, among those with COPD, by its stage defined by the Global Initiative for Chronic Obstructive Lung Disease criteria. Both univariate and multiple regression models demonstrated that lower quartiles of actual and percent predicted forced expiratory volume in 1 second and forced vital capacity at lung cancer diagnosis were significantly associated with worse OS. Spirometry-determined COPD, and more advanced stage of COPD at lung cancer diagnosis were associated with worse lung cancer OS. The findings provide evidence that a good pulmonary function at diagnosis may help improve OS in NSCLC patients.
肺功能可预测全因死亡率,慢性阻塞性肺疾病(COPD)与非小细胞肺癌(NSCLC)患者的总生存(OS)较差相关。虽然术前肺功能可预测肺癌手术后的院内死亡率,但它对长期生存的预测作用尚不清楚。常用的肺活量测定在肺癌患者生存中的预后作用也仍不确定。本研究评估了在诊断肺癌时进行肺活量测定对 NSCLC 患者 OS 的预测作用。这是一项回顾性研究,使用了波士顿肺癌研究中的数据,该研究纳入了在癌症治疗前进行了肺活量测定的新诊断 NSCLC 患者(n=2805)。将肺活量测定值按照四分位数进行分类,使用单变量和风险调整的多变量回归模型分析其与 OS 的相关性。此外,我们还根据肺活量测定确定的 COPD 状态以及在 COPD 患者中根据全球慢性阻塞性肺疾病倡议标准定义的阶段分析 OS。单变量和多变量回归模型均表明,肺癌诊断时实际和预计 1 秒用力呼气量以及用力肺活量的较低四分位数与较差的 OS 显著相关。肺活量测定确定的 COPD 以及肺癌诊断时 COPD 更晚期与较差的肺癌 OS 相关。这些发现提供了证据表明,诊断时良好的肺功能可能有助于改善 NSCLC 患者的 OS。