Key Laboratory of Cancer Prevention and Therapy of Tianjin, Department of Lung Cancer Surgery, Tianjin Lung Cancer Center, Tianjin Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China.
World J Surg. 2012 Feb;36(2):455-62. doi: 10.1007/s00268-011-1360-8.
The aim of this study was to investigate the relation between the metastatic lymph node ratio (LNR) and the prognosis of non-small-cell lung cancer (NSCLC).
A total of 301 patients with N1 or N2 NSCLC who underwent complete pulmonary resection were analyzed retrospectively. The correlations between the LNR and clinical and pathologic data were analyzed using χ(2) test analysis. The prognostic value of the LNR was calculated by univariate Kaplan-Meier survival analysis and multivariate Cox proportional hazard model analysis. The risk groups were classified by a combination of the LNR and pN stage.
The LNR was correlated with age, smoking status, pathologic type, subcarinal lymph node, clinical staging, N stage (P < 0.05), and the number of positive lymph nodes and positive lymph node stations (P < 0.0001). In the univariate analysis, the LNR played an important role in predicting overall survival (OS) (P < 0.0001) and disease-free survival (P < 0.0001) by Kaplan-Meier survival analysis. In the multivariate analysis, high LNR (>18%) was an independent poor prognostic factor for OS [hazard ratio (HR) 2.5034, 95% confidence interval (CI) 1.6096-3.8933, P < 0.0001] and DFS (HR 1.9023, 95% CI 1.2465-2.9031, P = 0.0031). Stratification into high-, medium-, and low-risk groups-based on high-risk factors (LNR > 18%, N2) intermediate-risk factors (LNR > 18%, N1 or LNR < 18%, N2), and low-risk factors (LNR < 18%, N1)-could efficiently predicted outcomes (P < 0.0001) of patients with lymph node-positive NSCLC.
The combination of the LNR and pN status provides a valuable help with prognosis. However, these results must be evaluated further in a large prospective randomized clinical trial.
本研究旨在探讨转移性淋巴结比率(LNR)与非小细胞肺癌(NSCLC)预后的关系。
回顾性分析了 301 例接受完全肺切除术的 N1 或 N2 NSCLC 患者。采用卡方检验分析 LNR 与临床和病理数据之间的相关性。采用单因素 Kaplan-Meier 生存分析和多因素 Cox 比例风险模型分析 LNR 的预后价值。通过 LNR 与 pN 分期的组合对风险组进行分类。
LNR 与年龄、吸烟状况、病理类型、隆突下淋巴结、临床分期、N 分期(P<0.05)以及阳性淋巴结和阳性淋巴结站的数量(P<0.0001)相关。单因素分析表明,LNR 通过 Kaplan-Meier 生存分析对总生存(OS)(P<0.0001)和无病生存(DFS)(P<0.0001)具有重要的预测作用。多因素分析显示,高 LNR(>18%)是 OS(HR 2.5034,95%CI 1.6096-3.8933,P<0.0001)和 DFS(HR 1.9023,95%CI 1.2465-2.9031,P=0.0031)的独立不良预后因素。基于高危因素(LNR>18%,N2)、中危因素(LNR>18%,N1 或 LNR<18%,N2)和低危因素(LNR<18%,N1)将患者分层为高、中、低危组,可以有效地预测淋巴结阳性 NSCLC 患者的预后(P<0.0001)。
LNR 与 pN 状态的结合为预后提供了有价值的帮助。然而,这些结果必须在大型前瞻性随机临床试验中进一步评估。