Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, PR China; Peking University People's Hospital Thoracic Oncology Institute, Beijing 100044, PR China.
Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, PR China; Peking University People's Hospital Thoracic Oncology Institute, Beijing 100044, PR China.
Lung Cancer. 2022 Sep;171:47-55. doi: 10.1016/j.lungcan.2022.07.019. Epub 2022 Jul 28.
We aimed to investigate the clinical features, prognosis and predictive factors for the non-small cell lung cancer (NSCLC) patients with uncertain resection [R(un)].
Kaplan-Meier method with a log-rank test was used to compare overall survival (OS) and disease-free survival (DFS) between groups. The least absolute shrinkage and selection operator (LASSO)-penalized Cox multivariable analysis was used to identify the prognostic factors. Random forest was used to determine the important predictive factors of R(un) resection.
A total of 2,782 eligible cases (R0 group: 1,897 cases; R(un) group: 885 cases) were included in this study. The rate of conventional R0 to R(un) reclassification was 31.8%. Patients with R(un) resection were more likely to have left-sided tumors, receive open surgery, and be diagnosed with advanced tumors. The survivals of the patients with R(un) resection were inferior to those of the patients with R0 resection in the entire cohort and in the nodal category, histology and adjuvant therapy subgroups. The LASSO-penalized multivariable Cox analysis confirmed that R(un) resection was an adverse prognostic factor for both OS and DFS. At last, surgical extent, surgical approach and tumor location were proven as the predictive factors for R(un) resection.
NSCLC patients with R(un) resection was not rare. R(un) had an adverse impact on the survivals of resected patients. Patients received non-lobectomy and open surgery, and patients with left-sided tumors were more likely to be suffered from R(un) resection.
本研究旨在探讨非小细胞肺癌(NSCLC)患者不确定切除(R(un))的临床特征、预后及预测因素。
采用 Kaplan-Meier 法和对数秩检验比较两组患者的总生存(OS)和无病生存(DFS)。采用最小绝对值收缩和选择算子(LASSO)惩罚 Cox 多变量分析确定预后因素。采用随机森林确定 R(un)切除的重要预测因素。
共纳入 2782 例符合条件的患者(R0 组:1897 例;R(un)组:885 例)。常规 R0 至 R(un)重新分类的比例为 31.8%。行 R(un)切除术的患者更倾向于存在左侧肿瘤、接受开放性手术和诊断为晚期肿瘤。与 R0 切除术患者相比,R(un)切除术患者的整体和淋巴结分期、组织学和辅助治疗亚组的生存情况更差。LASSO 惩罚 Cox 多变量分析证实 R(un)切除术是 OS 和 DFS 的不良预后因素。最后,手术范围、手术途径和肿瘤位置被证明是 R(un)切除术的预测因素。
R(un)切除术在 NSCLC 患者中并不少见。R(un)对接受切除术患者的生存有不利影响。行非肺叶切除术和开放性手术的患者以及左侧肿瘤患者更有可能行 R(un)切除术。