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预测乳腺癌非前哨淋巴结转移:一项多中心回顾性研究。

Predicting Nonsentinel Lymph Node Metastasis in Breast Cancer: A Multicenter Retrospective Study.

机构信息

Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.

Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan.

出版信息

J Surg Res. 2021 Aug;264:45-50. doi: 10.1016/j.jss.2021.01.047. Epub 2021 Mar 20.


DOI:10.1016/j.jss.2021.01.047
PMID:33752166
Abstract

BACKGROUND: Sentinel lymph node (SLN) biopsy has been the standard modality for breast cancer patients with clinically node negative disease. In patients who undergo axillary lymph node dissection (ALND) due to SLN metastasis, the harvested nodes (non-SLNs) often contain no metastasis. Here, we evaluated the predictive factors associated with non-SLN metastasis in breast cancer patients. MATERIALS AND METHODS: This was a retrospective study of patients with operable cT1-3, cN0 invasive breast cancer who underwent SLN biopsy followed by ALND due to SLN metastasis. The clinicopathologic factors and predictive factors of non-SLN metastasis were analyzed. The optimal cutoff for the Ki67 index and the number of positive and negative SLNs that were predictive of non-SLN metastasis were evaluated using receiver operating characteristic curves. RESULTS: The median number of SLN and non-SLN was 3 and 11, respectively. Of the 150 patients, 52 (35.0%) had metastases in non-SLNs. The optimal cutoffs for the Ki67 index and the number of positive and negative SLNs were of 12%, 2, and 1, respectively. In the univariate analysis, the Ki67 index and the number of positive SLNs≥2 and negative SLNs≤1 were higher in the non-SLN + group than that in the non-SLN - group. The number of negative SLNs was as a predictive factor for non-SLNs metastasis in the multivariate analysis. CONCLUSIONS: The number of negative SLNs predicts the risk of non-SLN metastasis in breast cancer. When deciding on whether to omit ALND, the number of positive and negative SLNs should be considered.

摘要

背景:前哨淋巴结(SLN)活检已成为临床淋巴结阴性乳腺癌患者的标准治疗方法。对于因 SLN 转移而接受腋窝淋巴结清扫术(ALND)的患者,所采集的淋巴结(非 SLN)通常没有转移。在此,我们评估了与乳腺癌患者非 SLN 转移相关的预测因素。

材料和方法:这是一项回顾性研究,纳入了因 SLN 转移而行 SLN 活检后接受 ALND 的可手术 cT1-3、cN0 浸润性乳腺癌患者。分析了临床病理因素和非 SLN 转移的预测因素。使用受试者工作特征曲线评估 Ki67 指数和阳性及阴性 SLN 数量的最佳截断值,这些因素预测非 SLN 转移。

结果:SLN 和非 SLN 的中位数分别为 3 个和 11 个。在 150 例患者中,52 例(35.0%)非 SLN 有转移。Ki67 指数和阳性及阴性 SLN 数量的最佳截断值分别为 12%、2 和 1。在单因素分析中,Ki67 指数和阳性 SLN≥2 个和阴性 SLN≤1 个的数量在非 SLN+组中高于非 SLN-组。在多因素分析中,阴性 SLN 数量是非 SLN 转移的预测因素。

结论:阴性 SLN 数量预测乳腺癌非 SLN 转移的风险。在决定是否省略 ALND 时,应考虑阳性和阴性 SLN 的数量。

相似文献

[1]
Predicting Nonsentinel Lymph Node Metastasis in Breast Cancer: A Multicenter Retrospective Study.

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[2]
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[3]
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World J Surg Oncol. 2024-4-17

[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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World J Surg Oncol. 2022-9-28

[10]
Predicting Non-sentinel Lymph Node Metastases in Patients with a Positive Sentinel Lymph Node After Neoadjuvant Chemotherapy.

Ann Surg Oncol. 2018-6-28

引用本文的文献

[1]
Early Warning of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Multi-Omics Signature: A Machine Learning-Based Retrospective Study.

Int J Gen Med. 2024-12-12

[2]
The prevalence of non-sentinel lymph node metastasis among breast cancer patients with sentinel lymph node involvement and its impact on clinical decision-making: a single-centred retrospective study.

Oncol Rev. 2024-10-31

[3]
Application of CT and MRI images based on an artificial intelligence algorithm for predicting lymph node metastasis in breast cancer patients: a meta-analysis.

BMC Cancer. 2023-11-22

[4]
Biomarkers in Breast Cancer: An Old Story with a New End.

Genes (Basel). 2023-6-28

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