Vinh-Hung Vincent, Leduc Nicolas, Baudin Jacqueline, Storme Guy, Nguyen Nam P, Joachim Clarisse, Cecilia-Joseph Elsa, Verschraegen Claire
Radiation Oncology, University Hospital of Martinique, Fort-de-France, MTQ.
Engineering, University Hospital of Martinique, Fort-de-France, MTQ.
Cureus. 2019 Nov 27;11(11):e6249. doi: 10.7759/cureus.6249.
We reinvestigate the relationship between axillary lymph node involvement in breast cancer and the overall risk of death. Patients were women from the Surveillance, Epidemiology, and End Results (SEER) program, aged between 50 and 65 years, presenting a first primary T1-T2 (tumor size ≤5 cm), node-positive, non-metastasized unilateral breast carcinoma, diagnosed from 1988 to 1997, treated with mastectomy without radiotherapy. Hazard ratios (HRs) were computed at each percentage of involved nodes using the proportional hazards model, adjusting for the patient's demographic and tumor characteristics. The pattern of the hazard ratios was examined using serial correlations. Significance testing used the "portmanteau" test. Based on 4,387 records available for analysis, the relation between adjusted mortality and axillary lymph node involvement was modeled as H - H = μ + a, where t is the percentage of involved nodes, H is the mortality hazard ratio at the percentage t, μ is a constant, and a is white noise. The constant μ was estimated at 0.020, corresponding to a 2% increment in the mortality hazard ratio per 1% increase in the percentage of positive nodes. The model was considered acceptable by the "portmanteau" test (P=0.205). We conclude that the effect of the tumor burden might be expressed as a random walk difference model, relating the mortality hazard ratio with the percentage of involved nodes. We will use the model to explore how treatments affect the course of the disease.
我们重新研究了乳腺癌腋窝淋巴结受累情况与总体死亡风险之间的关系。患者为来自监测、流行病学和最终结果(SEER)项目的女性,年龄在50至65岁之间,患有首例原发性T1 - T2期(肿瘤大小≤5 cm)、淋巴结阳性、未转移的单侧乳腺癌,于1988年至1997年确诊,接受了乳房切除术且未进行放疗。使用比例风险模型计算每个受累淋巴结百分比对应的风险比(HRs),并对患者的人口统计学和肿瘤特征进行调整。使用序列相关性检验风险比的模式。显著性检验采用“游程检验”。基于4387条可供分析的记录,将调整后的死亡率与腋窝淋巴结受累情况之间的关系建模为H - H = μ + a,其中t为受累淋巴结的百分比,H为百分比t时的死亡风险比,μ为常数,a为白噪声。常数μ估计为0.020,这意味着阳性淋巴结百分比每增加1%,死亡风险比增加2%。该模型通过“游程检验”被认为是可接受的(P = 0.205)。我们得出结论,肿瘤负荷的影响可能表现为一个随机游走差异模型,将死亡风险比与受累淋巴结的百分比联系起来。我们将使用该模型来探索治疗如何影响疾病进程。