Emergency Department, The First Affiliated Hospital of Nanchang University Ganjiang New Area Hospital, Nanchang, China.
General Surgery Department, First Affiliated Hospital of Nanchang University, Nanchang, China.
Medicine (Baltimore). 2024 Mar 1;103(9):e37263. doi: 10.1097/MD.0000000000037263.
At present, the risk factors and prognosis of sentinel lymph node metastasis (SLNM) are analyzed based on the study of axillary lymph node metastasis, but whether there is a difference between the two is unclear. Therefore, an accurate and appropriate predictive model needs to be proposed to evaluate patients undergoing sentinel lymph node biopsy (SLNB) for breast cancer. We selected 16983 women with breast cancer from the Surveillance Epidemiology and End Results (SEER) database. They were randomly assigned to two cohorts, one for development (n = 11891) and one for validation (n = 5092). multi-factor logistics regression was used to distinguish risk factors affecting SLNM. The potential prognostic factors were identified using the COX regression analysis. The hazard ratio (HR) and 95% confidence interval (95%CI) were calculated for all results. Multiple Cox models are included in the nomogram, with a critical P value of .05. In order to evaluate the model's performance, Concordance index and receiver operating characteristic curves were used. Six independent risk factors affecting SLNM were screened out from the Logistic regression, including tumor location, number of regional lymph nodes (2-5), ER positive, PR positive, tumor size (T2-3), and histological grade (Grade II-III) are independent risk factors for SLNM in patients (P < .05). Eight prognostic factors were screened out in the multivariate COX regression analysis (P < .05): Age: Age 60 to 79 years, Age ≥ 80 years; Race; Histological grading: Grade II, Grade III; No radiotherapy; Tumor size: T2, T3; ER positive:, sentinel lymph node positive, married. Histological grade, tumor location, T stage, ER status, PR status and the number of SLNB are significantly correlated with axillary SLNM. Age, ethnicity, histological grade, radiotherapy, tumor size, ER status, SLN status, and marital status were independent risk factors for Breast cancer specific survival (BCSS). Moreover, the survival rate of patients with 3 positive SLNs was not significantly different from that with one or two positive SLNs, We concluded that patients with stage N1 breast cancer were exempt from axillary lymph node dissection, which is worthy of further study.
目前,基于腋窝淋巴结转移的研究来分析前哨淋巴结转移(SLNM)的危险因素和预后,但两者之间是否存在差异尚不清楚。因此,需要提出一种准确、合适的预测模型来评估接受前哨淋巴结活检(SLNB)的乳腺癌患者。我们从监测、流行病学和最终结果(SEER)数据库中选择了 16983 名乳腺癌女性。将她们随机分配到两个队列,一个用于开发(n=11891),一个用于验证(n=5092)。多因素逻辑回归用于区分影响 SLNM 的危险因素。使用 COX 回归分析确定潜在的预后因素。计算所有结果的风险比(HR)和 95%置信区间(95%CI)。列线图中包含多个 Cox 模型,临界 P 值为.05。为了评估模型的性能,使用了一致性指数和接收者操作特征曲线。从 Logistic 回归中筛选出影响 SLNM 的 6 个独立危险因素,包括肿瘤位置、区域淋巴结数(2-5 个)、ER 阳性、PR 阳性、肿瘤大小(T2-3)和组织学分级(Grade II-III)是影响 SLNM 的独立危险因素(P<0.05)。多因素 COX 回归分析筛选出 8 个预后因素(P<0.05):年龄:年龄 60-79 岁,年龄≥80 岁;种族;组织学分级:Grade II,Grade III;未放疗;肿瘤大小:T2,T3;ER 阳性:SLN 阳性,已婚。组织学分级、肿瘤位置、T 分期、ER 状态、PR 状态和 SLNB 数与腋窝 SLNM 显著相关。年龄、种族、组织学分级、放疗、肿瘤大小、ER 状态、SLN 状态和婚姻状况是乳腺癌特异性生存(BCSS)的独立危险因素。此外,3 个阳性 SLN 患者的生存率与 1 个或 2 个阳性 SLN 患者的生存率无显著差异,我们得出结论,N1 期乳腺癌患者可免除腋窝淋巴结清扫,值得进一步研究。