Li Guozheng, Zhao Jiyun, Zhang Xingda, Ma Xin, Li Hui, Chen Yihai, Zhang Lei, Zhang Xin, Wu Jiale, Wang Xinheng, Zhang Yan, Xu Shouping
Department ofs Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin, China.
Front Surg. 2022 Jun 28;9:890554. doi: 10.3389/fsurg.2022.890554. eCollection 2022.
Sentinel lymph node biopsy (SLNB) is used to assess the status of axillary lymph node (ALN), but it causes many adverse reactions. Considering the low rate of sentinel lymph node (SLN) metastasis in T1 breast cancer, this study aims to identify the characteristics of T1 breast cancer without SLN metastasis and to select T1 breast cancer patients who avoid SLNB through constructing a nomogram.
A total of 1,619 T1 breast cancer patients with SLNB in our hospital were enrolled in this study. Through univariate and multivariate logistic regression analysis, we analyzed the tumor anatomical and clinicopathological factors and constructed the Heilongjiang Medical University (HMU) nomogram. We selected the patients exempt from SLNB by using the nomogram.
In the training cohort of 1,000 cases, the SLN metastasis rate was 23.8%. Tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes were found to be independent predictors for SLN metastasis in multivariate regression analysis. Distance from nipple or surface and position of tumor have no effect on SLN metastasis. A regression model based on the results of the multivariate analysis was developed to predict the risk of SLN metastasis, indicating an AUC of 0.798. It showed excellent diagnostic performance (AUC = 0.773) in the validation cohort.
The HMU nomogram for predicting SLN metastasis incorporates four variables, including tumor volume, swollen axillary lymph nodes, pathological types, and molecular subtypes. The SLN metastasis rates of intraductal carcinoma and HER2 enriched are 2.05% and 6.67%. These patients could be included in trials investigating the SLNB exemption.
前哨淋巴结活检(SLNB)用于评估腋窝淋巴结(ALN)状态,但会引发多种不良反应。鉴于T1期乳腺癌前哨淋巴结(SLN)转移率较低,本研究旨在明确无SLN转移的T1期乳腺癌特征,并通过构建列线图筛选可避免行SLNB的T1期乳腺癌患者。
本研究纳入我院1619例行SLNB的T1期乳腺癌患者。通过单因素和多因素逻辑回归分析,分析肿瘤解剖及临床病理因素,构建黑龙江医科大学(HMU)列线图。利用该列线图筛选出可免于SLNB的患者。
在1000例的训练队列中,SLN转移率为23.8%。多因素回归分析发现肿瘤体积、腋窝淋巴结肿大、病理类型和分子亚型是SLN转移的独立预测因素。肿瘤距乳头或体表的距离及位置对SLN转移无影响。基于多因素分析结果建立回归模型预测SLN转移风险,曲线下面积(AUC)为0.798。在验证队列中显示出良好的诊断性能(AUC = 0.773)。
用于预测SLN转移的HMU列线图纳入了四个变量,包括肿瘤体积、腋窝淋巴结肿大、病理类型和分子亚型。导管内癌和HER2富集型的SLN转移率分别为2.05%和6.67%。这些患者可纳入探索免于SLNB的试验。