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A New Model for Predicting Non-Sentinel Lymph Node Status in Chinese Sentinel Lymph Node Positive Breast Cancer Patients
Liu, Miao; Wang, Shu; Pan, Lu; Yang, Deqi; Xie, Fei; Liu, Peng; Guo, Jiajia; Zhang, Jiaqing; Zhou, Bo
刊名PLOS ONE
2014-08-11
DOI10.1371/journal.pone.0104117
9期:8
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Multidisciplinary Sciences
研究领域[WOS]Science & Technology - Other Topics
关键词[WOS]METASTASIS-SUPPRESSOR GENE ; NONSENTINEL AXILLARY NODES ; BIOPSY ; INVOLVEMENT ; DISSECTION ; CARCINOMA ; VALIDATION ; NOMOGRAM ; KISS-1 ; WOMEN
英文摘要

Background: Our goal is to validate the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram and Stanford Online Calculator (SOC) for predicting non-sentinel lymph node (NSLN) metastasis in Chinese patients, and develop a new model for better prediction of NSLN metastasis.

Methods: The MSKCC nomogram and SOC were used to calculate the probability of NSLN metastasis in 120 breast cancer patients. Univariate and multivariate analyses were performed to evaluate the relationship between NSLN metastasis and clinicopathologic factors, using the medical records of the first 80 breast cancer patients. A new model predicting NSLN metastasis was developed from the 80 patients.

Results: The MSKCC and SOC predicted NSLN metastasis in a series of 120 patients with an area under the receiver operating characteristic curve (AUC) of 0.688 and 0.734, respectively. For predicted probability cut-off points of 10%, the false-negative (FN) rates of MSKCC and SOC were both 4.4%, and the negative predictive value (NPV) 75.0% and 90.0%, respectively. Tumor size, Kiss-1 expression in positive SLN and size of SLN metastasis were independently associated with NSLN metastasis (p<0.05). A new model (Peking University People′s Hospital, PKUPH) was developed using these three variables. The MSKCC, SOC and PKUPH predicted NSLN metastasis in the second 40 patients from the 120 patients with an AUC of 0.624, 0.679 and 0.795, respectively.

Conclusion: MSKCC nomogram and SOC did not perform as well as their original researches in Chinese patients. As a new predictor, Kiss-1 expression in positive SLN correlated independently with NSLN metastasis strongly. PKUPH model achieved higher accuracy than MSKCC and SOC in predicting NSLN metastasis in Chinese patients.

语种英语
WOS记录号WOS:000341105100031
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
版本出版稿
条目标识符http://ir.bjmu.edu.cn/handle/400002259/58692
专题北京大学第二临床医学院_乳腺外科
作者单位Peking Univ, Peoples Hosp, Breast Dis Ctr, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Liu, Miao,Wang, Shu,Pan, Lu,et al. A New Model for Predicting Non-Sentinel Lymph Node Status in Chinese Sentinel Lymph Node Positive Breast Cancer Patients[J]. PLOS ONE,2014,9(8).
APA Liu, Miao.,Wang, Shu.,Pan, Lu.,Yang, Deqi.,Xie, Fei.,...&Zhou, Bo.(2014).A New Model for Predicting Non-Sentinel Lymph Node Status in Chinese Sentinel Lymph Node Positive Breast Cancer Patients.PLOS ONE,9(8).
MLA Liu, Miao,et al."A New Model for Predicting Non-Sentinel Lymph Node Status in Chinese Sentinel Lymph Node Positive Breast Cancer Patients".PLOS ONE 9.8(2014).
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