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分子亚型分类是前哨淋巴结阳性乳腺癌患者非前哨淋巴结转移的决定因素。

Molecular subtype classification is a determinant of non-sentinel lymph node metastasis in breast cancer patients with positive sentinel lymph nodes.

机构信息

Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.

出版信息

PLoS One. 2012;7(4):e35881. doi: 10.1371/journal.pone.0035881. Epub 2012 Apr 26.

Abstract

BACKGROUND

Previous studies suggested that the molecular subtypes were strongly associated with sentinel lymph node (SLN) status. The purpose of this study was to determine whether molecular subtype classification was associated with non-sentinel lymph nodes (NSLN) metastasis in patients with a positive SLN.

METHODOLOGY AND PRINCIPAL FINDINGS

Between January 2001 and March 2011, a total of 130 patients with a positive SLN were recruited. All these patients underwent a complete axillary lymph node dissection. The univariate and multivariate analyses of NSLN metastasis were performed. In univariate and multivariate analyses, large tumor size, macrometastasis and high tumor grade were all significant risk factors of NSLN metastasis in patients with a positive SLN. In univariate analysis, luminal B subgroup showed higher rate of NSLN metastasis than other subgroup (P = 0.027). When other variables were adjusted in multivariate analysis, the molecular subtype classification was a determinant of NSLN metastasis. Relative to triple negative subgroup, both luminal A (P = 0.047) and luminal B (P = 0.010) subgroups showed a higher risk of NSLN metastasis. Otherwise, HER2 over-expression subgroup did not have a higher risk than triple negative subgroup (P = 0.183). The area under the curve (AUC) value was 0.8095 for the Cambridge model. When molecular subtype classification was added to the Cambridge model, the AUC value was 0.8475.

CONCLUSIONS

Except for other factors, molecular subtype classification was a determinant of NSLN metastasis in patients with a positive SLN. The predictive accuracy of mathematical models including molecular subtype should be determined in the future.

摘要

背景

先前的研究表明,分子亚型与前哨淋巴结(SLN)状态密切相关。本研究旨在确定分子亚型分类是否与 SLN 阳性患者的非前哨淋巴结(NSLN)转移相关。

方法和主要发现

本研究共纳入 130 例 SLN 阳性患者,所有患者均接受了完整的腋窝淋巴结清扫术。对 NSLN 转移的单因素和多因素分析。单因素和多因素分析中,肿瘤体积大、宏转移和高肿瘤分级均为 SLN 阳性患者 NSLN 转移的显著危险因素。单因素分析中,Luminal B 亚组的 NSLN 转移率高于其他亚组(P=0.027)。多因素分析调整其他变量后,分子亚型分类是 NSLN 转移的决定因素。与三阴性亚组相比,Luminal A(P=0.047)和 Luminal B(P=0.010)亚组的 NSLN 转移风险更高。而 HER2 过表达亚组与三阴性亚组相比,其 NSLN 转移风险并无显著差异(P=0.183)。剑桥模型的曲线下面积(AUC)值为 0.8095。当将分子亚型分类添加到剑桥模型中时,AUC 值为 0.8475。

结论

除其他因素外,分子亚型分类是 SLN 阳性患者 NSLN 转移的决定因素。未来应确定包含分子亚型的数学模型的预测准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcd6/3338552/157e106b1697/pone.0035881.g001.jpg

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