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Intraoperative Prediction Of Non-Sentinel Lymph Node Metastasis Based On The Molecular Assay In Breast Cancer Patients

Authors Sun X, Zhang Y, Wu S, Fu L, Yun JP, Wang YS

Received 10 August 2019

Accepted for publication 4 November 2019

Published 15 November 2019 Volume 2019:11 Pages 9715—9723

DOI https://doi.org/10.2147/CMAR.S226733

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Dr Chien-Feng Li


Xiao Sun,1 Yan Zhang,2 Shuang Wu,1 Li Fu,3 Jing-Ping Yun,4 Yong-Sheng Wang1

1Breast Cancer Center, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, People’s Republic of China; 2Department of Breast and Thyroid Surgery, Zibo Central Hospital, Zibo, People’s Republic of China; 3Department of Pathology, Cancer Hospital, Tianjin Medical University, Tianjin, People’s Republic of China; 4Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, People’s Republic of China

Correspondence: Yong-Sheng Wang
Breast Cancer Center, Shandong Cancer Hospital, 440 Jiyan Road, Jinan, People’s Republic of China
Tel/Fax +86-531-67626211
Email wangysh2008@aliyun.com

Purpose: The aim of the study is to construct an intraoperative nomogram for the prediction of non-sentinel lymph node (NSLN) metastasis based on the one-step nucleic acid amplification assay in breast cancer patients.
Methods: A total of 552 patients were enrolled in the training study and 1090 patients were enrolled in the validation study. The nomogram was constructed based on the molecular assay with logistic multivariate regression analysis in the training study and was validated in the validation study.
Results: A novel nomogram model was constructed with the total tumor load, the clinical primary tumor size, the number of positive and negative sentinel lymph nodes. The area under the receiver operating characteristic curve (AUC) of the model was 0.842. The AUC of the model which was sensitive to discern the patients with the stage of pN1 and ≥pN2 was 0.861.
Conclusion: The nomogram model will help to guide the axillary management intraoperatively and precisely confirm the target region of radiotherapy postoperatively.

Keywords: breast neoplasm, molecular diagnostic techniques, nomograms, sentinel lymph node biopsy


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