Clinica Chirurgica Generale, Department of Oncological and Surgical Sciences, University of Padova, Padova, Italy.
Surgery. 2011 Jul;150(1):83-90. doi: 10.1016/j.surg.2011.02.021.
The proportion of positive among examined lymph nodes (lymph node ratio [LNR]) has been recently proposed as an useful and easy-to-calculate prognostic factor for patients with cutaneous melanoma. However, its independence from the standard prognostic system TNM has not been formally proven in a large series of patients.
Patients with histologically proven cutaneous melanoma were identified from the Surveillance Epidemiology End Results database. Disease-specific survival was the clinical outcome of interest. The prognostic ability of conventional factors and LNR was assessed by multivariable survival analysis using the Cox regression model.
Eligible patients (n = 8,177) were diagnosed with melanoma between 1998 and 2006. Among lymph node-positive cases (n = 3,872), most LNR values ranged from 1% to 10% (n = 2,187). In the whole series (≥5 lymph nodes examined) LNR significantly contributed to the Cox model independently of the TNM effect on survival (hazard ratio, 1.28; 95% confidence interval, 1.23-1.32; P < .0001). On subgroup analysis, the significant and independent prognostic value of LNR was confirmed both in patients with ≥10 lymph nodes examined (n = 4,381) and in those with TNM stage III disease (n = 3,658). In all cases, LNR increased the prognostic accuracy of the survival model.
In this large series of patients, the LNR independently predicted disease-specific survival, improving the prognostic accuracy of the TNM system. Accordingly, the LNR should be taken into account for the stratification of patients' risk, both in clinical and research settings.
淋巴结阳性比例(淋巴结比率[LNR])最近被提出作为一种有用且易于计算的皮肤黑素瘤患者预后因素。然而,它是否独立于标准的预后系统 TNM 在大量患者中尚未得到正式证明。
从监测、流行病学和最终结果数据库中确定了组织学证实的皮肤黑色素瘤患者。疾病特异性生存是感兴趣的临床结局。使用 Cox 回归模型的多变量生存分析评估了常规因素和 LNR 的预后能力。
合格患者(n=8177)于 1998 年至 2006 年间被诊断患有黑色素瘤。在淋巴结阳性病例中(n=3872),大多数 LNR 值在 1%至 10%之间(n=2187)。在整个系列(检查≥5 个淋巴结)中,LNR 显著独立于 TNM 对生存的影响(危险比,1.28;95%置信区间,1.23-1.32;P<.0001)。在亚组分析中,在检查≥10 个淋巴结的患者(n=4381)和 TNM 分期为 III 期的患者(n=3658)中,LNR 均证实了独立且显著的预后价值。在所有情况下,LNR 提高了生存模型的预后准确性。
在这项大型患者系列中,LNR 独立预测疾病特异性生存,提高了 TNM 系统的预后准确性。因此,在临床和研究环境中,LNR 应考虑用于患者风险分层。