Literature DB >> 26850667

[Risk factors of non-sentinel lymph node metastasis and performance of MSKCC nomogramin breast cancer patients with metastatic sentinel lymph node].

Jiahui Huang1, Xiaosong Chen, Xiaochun Fei, Ou Huang, Jiayi Wu, Yu Zong, Li Zhu, Jianrong He, Weiguo Chen, Yafen Li, Kunwei Shen2.   

Abstract

OBJECTIVES: To study the factors influencing the non-sentinel lymph node(NSLN) status and to assess performance of Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram in predicting sentinel lymph node(SLN) metastases in a SLN positive Chinese breast cancer population.
METHODS: Data were collected from breast cancer patients who were diagnosed with pathological positive sentinel lymph node and received further axillary lymph node dissection(ALND) in Shanghai Ruijin Hospital from January 2011 to August 2014. MSKCC nomogram was used to calculate each patient's NSLN metastasis risk score. The receiver operator characteristic curve (ROC curve) and the area under the ROC curve (AUC) was used to assess the predictive accuracy of the model.
RESULTS: Among the 1 147 patients who received sentinel biopsy, 150 SLN positive patients who received ALND were enrolled in this study. By univariate analysis, multifocal breast cancer (χ(2)=5.887, P=0.015), SLN+ /SLN ratio (χ(2)=6.683, P=0.010) and abnormal axillary lymph node displayed by ultrasound (χ(2)=7.736, P=0.005) were the influencing factors of NSLN metastases. By multivariate analysis, multifocal breast cancer (OR=7.25, 95% CI: 1.73 to 30.43, P=0.007), SLN+ /SLN ratio ≥ 0.5 (OR=2.564, 95% CI: 1.22 to 5.39, P=0.013) and abnormal axillary lymph node displayed by ultrasound (OR=2.471, 95% CI: 1.18 to 5.19, P=0.017) were the independent influencing factors of NSLN metastases. The AUC of MSKCC nomogram in this population was 0.677.
CONCLUSIONS: For breast cancer patients with positive sentinel lymph node, multifocality, SLN+ /SLN ratio and axillary lymphadenopathy displayed by ultrasound is related to NSLN metastasis. MSKCC has low accuracy in predicting NSLN status of this population.

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Year:  2015        PMID: 26850667

Source DB:  PubMed          Journal:  Zhonghua Wai Ke Za Zhi        ISSN: 0529-5815


  3 in total

1.  Establishment of Simple Nomograms for Predicting Axillary Lymph Node Involvement in Early Breast Cancer.

Authors:  Qingqing Zong; Jing Deng; Wanli Ge; Jie Chen; Di Xu
Journal:  Cancer Manag Res       Date:  2020-03-18       Impact factor: 3.989

2.  Validation of Breast Cancer Models for Predicting the Nonsentinel Lymph Node Metastasis After a Positive Sentinel Lymph Node Biopsy in a Chinese Population.

Authors:  Peiqi Wu; Ke Zhao; Yanli Liang; Weitao Ye; Zaiyi Liu; Changhong Liang
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

3.  Predictors of nonsentinel lymph node metastasis in patients with breast cancer with metastasis in the sentinel node.

Authors:  Yidong Zhou; Xin Huang; Feng Mao; Yan Lin; Songjie Shen; Jinghong Guan; Xiaohui Zhang; Qiang Sun
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.889

  3 in total

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