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Current Oncology
Volume 26
Issue 2
10.3747/co.26.4295
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Current Oncology is published by MDPI from Volume 28 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Multimed Inc..
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Article

Risk Factors and a Predictive Nomogram for Non-Sentinel Lymph Node Metastases in Chinese Breast Cancer Patients with One or Two Sentinel Lymph Node Macrometastases and Mastectomy

by
X.Y. Wang
1,
J. T. Wang
2,
T. Guo
3,
X.Y. Kong
1,
L. Chen
1,
J. Zhai
1,
Y.Q. Gao
4,
Yi Fang
1,* and
Jing Wang
1,*
1
Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
2
Department of Biostatistics, School of Public Health, Shandong University, Shandong, China
3
Department of Breast Surgery, The First Hospital of Qiqihar, Qiqihar, China
4
Department of Oncology, Beijing Electric Power Hospital, Capital Medical University, Beijing, China
*
Authors to whom correspondence should be addressed.
Curr. Oncol. 2019, 26(2), 210-215; https://doi.org/10.3747/co.26.4295
Submission received: 5 January 2019 / Revised: 2 February 2019 / Accepted: 9 March 2019 / Published: 1 April 2019

Abstract

Background: Two ongoing prospective randomized trials are evaluating whether omitting axillary lymph node dissection (alnd) in patients with breast cancer (bca) and sentinel lymph node (sln) macrometastases undergoing mastectomy is safe. Determining predictive risk factors for non-sln metastases and developing a model to predict the probability of those patients having non-sln metastases is also important. Methods: This retrospective study enrolled 396 patients with bca and 1–2 slns with macrometastases who underwent alnd and mastectomy between January 2012 and December 2016. Factors influencing the non-sln metastases were determined, and a predictive nomogram was formulated. Performance of the nomogram was evaluated by its area under the curve (auc). Results: We developed a predictive nomogram with an auc of 0.81 (cross-validation 95% confidence interval: 0.75 to 0.86) that included 4 factors (tumour size, histologic grade, and number of negative slns and axillary lymph nodes on imaging). Conclusions: Our predictive nomogram assesses the risk of non-sln metastases in patients with bca and 1–2 sln macrometastases undergoing mastectomy.
Keywords: breast cancer; predictive nomograms; non-sentinel lymph nodes; macrometastases breast cancer; predictive nomograms; non-sentinel lymph nodes; macrometastases

Share and Cite

MDPI and ACS Style

Wang, X.Y.; Wang, J.T.; Guo, T.; Kong, X.Y.; Chen, L.; Zhai, J.; Gao, Y.Q.; Fang, Y.; Wang, J. Risk Factors and a Predictive Nomogram for Non-Sentinel Lymph Node Metastases in Chinese Breast Cancer Patients with One or Two Sentinel Lymph Node Macrometastases and Mastectomy. Curr. Oncol. 2019, 26, 210-215. https://doi.org/10.3747/co.26.4295

AMA Style

Wang XY, Wang JT, Guo T, Kong XY, Chen L, Zhai J, Gao YQ, Fang Y, Wang J. Risk Factors and a Predictive Nomogram for Non-Sentinel Lymph Node Metastases in Chinese Breast Cancer Patients with One or Two Sentinel Lymph Node Macrometastases and Mastectomy. Current Oncology. 2019; 26(2):210-215. https://doi.org/10.3747/co.26.4295

Chicago/Turabian Style

Wang, X.Y., J. T. Wang, T. Guo, X.Y. Kong, L. Chen, J. Zhai, Y.Q. Gao, Yi Fang, and Jing Wang. 2019. "Risk Factors and a Predictive Nomogram for Non-Sentinel Lymph Node Metastases in Chinese Breast Cancer Patients with One or Two Sentinel Lymph Node Macrometastases and Mastectomy" Current Oncology 26, no. 2: 210-215. https://doi.org/10.3747/co.26.4295

APA Style

Wang, X. Y., Wang, J. T., Guo, T., Kong, X. Y., Chen, L., Zhai, J., Gao, Y. Q., Fang, Y., & Wang, J. (2019). Risk Factors and a Predictive Nomogram for Non-Sentinel Lymph Node Metastases in Chinese Breast Cancer Patients with One or Two Sentinel Lymph Node Macrometastases and Mastectomy. Current Oncology, 26(2), 210-215. https://doi.org/10.3747/co.26.4295

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