Nabais Celso, Figueiredo Joana, Lopes Paulina, Martins Manuela, Araújo António
Department of Surgery, Centro Hospitalar Lisboa Central, Portugal.
Department of Surgery, Centro Hospitalar Lisboa Central, Portugal.
Breast. 2017 Apr;32:33-36. doi: 10.1016/j.breast.2016.12.011. Epub 2016 Dec 25.
This study aimed to determine the relationship between CK19 mRNA copy number in sentinel lymph nodes (SLN) assessed by one-step nucleic acid amplification (OSNA) technique, and non-sentinel lymph nodes (NSLN) metastization in invasive breast cancer. A model using total tumor load (TTL) obtained by OSNA technique was also constructed to evaluate its predictability.
We conducted an observational retrospective study including 598 patients with clinically T1-T3 and node negative invasive breast cancer. Of the 88 patients with positive SLN, 58 patients fulfill the inclusion criteria.
In the analyzed group 25.86% had at least one positive NSLN in axillary lymph node dissection. Univariate analysis showed that tumor size, TTL and number of SLN macrometastases were predictive factors for NSLN metastases. In multivariate analysis just the TTL was predictive for positive NSLN (OR 2.67; 95% CI 1.06-6.70; P = 0.036). The ROC curve for the model using TTL alone was obtained and an AUC of 0.805 (95% CI 0.69-0.92) was achieved. For TTL >1.9 × 10 copies/μL we got 73.3% sensitivity, 74.4% specificity and 88.9% negative predictive value to predict NSLN metastases.
When using OSNA technique to evaluate SLN, NSLN metastases can be predicted intraoperatively. This prediction tool could help in decision for axillary lymph node dissection.
本研究旨在确定通过一步核酸扩增(OSNA)技术评估的前哨淋巴结(SLN)中CK19 mRNA拷贝数与浸润性乳腺癌非前哨淋巴结(NSLN)转移之间的关系。还构建了一个使用OSNA技术获得的总肿瘤负荷(TTL)的模型,以评估其预测能力。
我们进行了一项观察性回顾性研究,纳入了598例临床分期为T1-T3且淋巴结阴性的浸润性乳腺癌患者。在88例SLN阳性的患者中,58例符合纳入标准。
在分析的组中,25.86%的患者在腋窝淋巴结清扫中至少有一个NSLN阳性。单因素分析显示,肿瘤大小、TTL和SLN大转移灶数量是NSLN转移的预测因素。多因素分析中,只有TTL可预测NSLN阳性(OR 2.67;95%CI 1.06-6.70;P = 0.036)。获得了仅使用TTL的模型的ROC曲线,AUC为0.805(95%CI 0.69-0.92)。对于TTL>1.9×10拷贝/μL,预测NSLN转移的敏感性为73.3%,特异性为74.4%,阴性预测值为88.9%。
使用OSNA技术评估SLN时,可在术中预测NSLN转移。该预测工具有助于决定是否进行腋窝淋巴结清扫。