研究动态
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临床上淋巴结阴性的早期乳腺癌在原发性系统治疗和阳性哨兵淋巴结后的非哨兵腋窝淋巴结状态:一个预测模型建议。

Nonsentinel Axillary Lymph Node Status in Clinically Node-Negative Early Breast Cancer After Primary Systemic Therapy and Positive Sentinel Lymph Node: A Predictive Model Proposal.

发表日期:2023 Feb 21
作者: Isaac Cebrecos, Eduard Mension, Inmaculada Alonso, Helena Castillo, Esther Sanfeliu, Sergi Vidal-Sicart, Sergi Ganau, Maria Vidal, Francesco Schettini
来源: ANNALS OF SURGICAL ONCOLOGY

摘要:

在进行原发性系统治疗(PST)的临床无淋巴结转移(cN0)早期乳腺癌(EBC)中,治疗后出现阳性哨兵淋巴结(SLN+)会引导腋窝淋巴结清扫(ALND),对结局产生不确定的影响并增加并发症。我们对经过PST和乳房手术导致SLN+和接受ALND的影像学确认的cN0 EBC进行了观察性研究。使用逻辑回归分析基线/术后临床病理因素与阳性非哨兵附加腋窝淋巴结(non-SLN+)之间的关联。LASSO回归确定了要包括在预测non-SLN+的评分(ALND-predict)中的变量。评估准确性和校准度,然后确定最佳切点并进行虚拟验证和自举。在ALND后,22.2%的病例中检测到non-SLN+。仅孕激素受体(PR)水平和大转移SLN+与non-SLN+独立相关。LASSO回归确定了PR,Ki67和SLN+的类型和数量作为最有效的协变量。ALND-predict评分基于它们的LASSO回归系数构建,显示出0.83的曲线下面积(AUC)和63的最佳截断值,具有0.925的负预测值(NPV)。连续和二元评分具有良好的拟合(p = 0.876和p = 1.00,分别)并且与non-SLN+独立相关(调整的比值比(aOR):1.06,p = 0.002和aOR:23.77,p <0.001)。经过5000次自举调整后重新测试,估计的偏差校正和加速的95%CI包括aOR。在具有SLN+的cN0 EBC中,ALND中出现的non-SLN+不常见(约22%),并且与PR水平和大肿块SLN独立相关。 ALND-predict多参数评分准确地预测了non-SLN参与的情况,确定了大多数可以安全地避免不必要ALND的患者。需要进行前瞻性验证。 ©2023年作者。
In clinically node-negative (cN0) early stage breast cancer (EBC) undergoing primary systemic treatment (PST), post-treatment positive sentinel lymph node (SLN+) directs axillary lymph node dissection (ALND), with uncertain impacts on outcomes and increased morbidities.We conducted an observational study on imaging-confirmed cN0 EBC, who underwent PST and breast surgery that resulted in SLN+ and underwent ALND. The association among baseline/postsurgical clinic-pathological factors and positive nonsentinel additional axillary lymph nodes (non-SLN+) was analyzed with logistic regression. LASSO regression (LR) identified variables to include in a predictive score of non-SLN+ (ALND-predict). The accuracy and calibration were assessed, an optimal cut-point was then identified, and in silico validation with bootstrap was undertaken.Non-SLN+ were detected in 22.2% cases after ALND. Only progesterone receptor (PR) levels and macrometastatic SLN+ were independently associated to non-SLN+. LR identified PR, Ki67, and type and number of SLN+ as the most efficient covariates. The ALND-predict score was built based on their LR coefficients, showing an area under the curve (AUC) of 0.83 and an optimal cut-off of 63, with a negative predictive value (NPV) of 0.925. Continuous and dichotomic scores had a good fit (p = 0.876 and p = 1.00, respectively) and were independently associated to non-SLN+ [adjusted odds ratio (aOR): 1.06, p = 0.002 and aOR: 23.77, p < 0.001, respectively]. After 5000 bootstrap-adjusted retesting, the estimated bias-corrected and accelerated 95%CI included the aOR.In cN0 EBC with post-PST SLN+, non-SLN+ at ALND are infrequent (~22%) and independently associated to PR levels and macrometastatic SLN. ALND-predict multiparametric score accurately predicted absence of non-SLN involvement, identifying most patients who could be safely spared unnecessary ALND. Prospective validation is required.© 2023. The Author(s).