Han Chang, Wu Yijun, Sun Xu, Chong Yuming, Kang Kai, Liu Zhikai, Zhang Fuquan
Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Peking Union Medical College, Eight-year MD Program, Chinese Academy of Medical Sciences, Beijing, China.
Front Surg. 2021 Apr 30;8:666332. doi: 10.3389/fsurg.2021.666332. eCollection 2021.
N3-positive non-small cell lung cancer (NSCLC) is usually regarded as inoperable. There were very few studies that focused on N3-NSCLC patients. This study aims to analyze prognosis of NSCLC patients with N3 disease and provides retrospective indications. NSCLC patients staged as N3 were retrospectively reviewed from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox regression were used for identifying prognostic factors. The selected predictive parameters by the least absolute shrinkage and selection operator (LASSO) regression were used to develop predictive nomogram models for overall survival (OS) and lung cancer-specific survival (CSS). The C-index values were calculated to assess the models' predictive ability, while calibration curves were plotted to evaluate the agreement between the predicted and the actual survival. Survival curves were plotted by Kaplan-Meier method and were compared by log-rank test. Propensity score matching (PSM) was used to balance the baseline characteristics between treatment groups. A total of 24,747 N3-NSCLC patients were enrolled. The 1-, 3-, and 5-year OS rates were 35.8, 6.8, and 1.7%, respectively, while the corresponding CSS rates was 36.6, 6.9, and 1.8%, respectively. The nomogram models were developed using 11 significant prognostic parameters, including age, sex, race, histology, stage, T stage, bone, brain and liver metastases, surgery, and chemotherapy. Both of them demonstrated great predictive ability and performed well in the calibration curves. After PSM, patients receiving surgery demonstrated significantly better survival than those who did not. Besides, there was no significant difference of survival between patients receiving chemotherapy with and without radiotherapy. The nomogram models for predicting survival outcome of N3-NSCLC patients can be clinically used. Surgery may be beneficial to the survival for these patients, while radiotherapy may not have additional survival benefits in patients receiving chemotherapy.
N3期阳性非小细胞肺癌(NSCLC)通常被视为无法手术切除。很少有研究聚焦于N3期NSCLC患者。本研究旨在分析N3期疾病NSCLC患者的预后,并提供回顾性指征。从监测、流行病学和最终结果数据库中对分期为N3期的NSCLC患者进行回顾性分析。采用单因素和多因素Cox回归来确定预后因素。通过最小绝对收缩和选择算子(LASSO)回归选择的预测参数用于建立总生存(OS)和肺癌特异性生存(CSS)的预测列线图模型。计算C指数值以评估模型的预测能力,同时绘制校准曲线以评估预测生存与实际生存之间的一致性。采用Kaplan-Meier法绘制生存曲线,并通过对数秩检验进行比较。倾向评分匹配(PSM)用于平衡治疗组之间的基线特征。共纳入24747例N3期NSCLC患者。1年、3年和5年总生存率分别为35.8%、6.8%和1.7%,而相应的CSS率分别为36.6%、6.9%和1.8%。使用11个重要的预后参数建立列线图模型,包括年龄、性别、种族、组织学类型、分期、T分期、骨转移、脑转移和肝转移、手术和化疗。两者均显示出良好的预测能力,在校准曲线中表现良好。PSM后,接受手术的患者生存率显著高于未接受手术的患者。此外,接受化疗联合放疗与未接受放疗的患者生存率无显著差异。预测N3期NSCLC患者生存结局的列线图模型可在临床上应用。手术可能对这些患者的生存有益,而放疗在接受化疗的患者中可能没有额外的生存益处。