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学科主题: 临床医学
题名:
A New Model for Predicting Non-Sentinel Lymph Node Status in Chinese Sentinel Lymph Node Positive Breast Cancer Patients
作者: Liu, Miao; Wang, Shu; Pan, Lu; Yang, Deqi; Xie, Fei; Liu, Peng; Guo, Jiajia; Zhang, Jiaqing; Zhou, Bo
刊名: PLOS ONE
发表日期: 2014-08-11
DOI: 10.1371/journal.pone.0104117
卷: 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
Citation statistics:
内容类型: 期刊论文
版本: 出版稿
URI标识: http://ir.bjmu.edu.cn/handle/400002259/58692
Appears in Collections:北京大学第二临床医学院_乳腺外科_期刊论文

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作者单位: Peking Univ, Peoples Hosp, Breast Dis Ctr, Beijing 100871, Peoples R China

Recommended Citation:
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).
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