Author/Authors :
WANG, Xiangyu Department of Breast Surgical Oncology - National Cancer Center - National Clinical Research Center for Cancer Cancer Hospital, Chinese , GAO, Yinqi Department of Oncology - Capital Medical University, Electric Power Teaching Hospital, Beijing, China , YANG, Xue Department of Breast Surgical Oncology - National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospi-tal - Chinese Academy of Medical Sciences and Peking union Medical College, China , KONG, Xiangyi Department of Breast Surgical Oncology - National Cancer Center -National Clinical Research Center for Cancer -Cancer Hospi-tal - Chinese Academy of Medical Sciences and Peking union Medical College, Beijing, China , WANG, Zixing School of Basic Medical Sciences - Jining Medical University, Jining, China , WANG, Jing Department of Breast Surgical Oncology - National Cancer Center - National Clinical Research Center for Cancer -Cancer Hospi-tal - Chinese Academy of Medical Sciences and Peking union Medical College, Beijing, China
Abstract :
Background: Omitting axillary lymph node dissection (ALND) is recommended for early-stage breast cancer patients with 1-2 sentinel lymph nodes (SLNs) macro-metastases and breast-conserving therapy. However, it is not safe for part of patients, so it is significant to find risk factors and develop a predictive model of non-SLNs metastases in breast cancer patients with 1-2 SLNs macro-metastases and breast-conserving therapy.
Methods: This retrospective study enrolled 228 breast cancer patients with 1-2 SLNs macro-metastases who underwent ALND and breast-conserving surgery between Jan 2012 and Dec 2017 at Cancer Hospital Chinese Academy of Medical Sciences. Chi-square test and backward stepwise binary logistic regression were used to find factors that influenced non-SLN metastases, then a predictive model was formulated and obtained its area under the curve.
Results: Tumor pathologic invasion size, number of positive SLNs and ALN status on imaging was associated with non-SLNs metastases. The predictive model was also formulated based on these three factors to assess and the area under the curve of model was 0.708.
Conclusion: We developed a predictive model to assess the high-risk cohort of patients of non-SLNs metastases which can be an auxiliary tool for doctors.
Keywords :
Breast-conserving surgery , Macro-metastases , Predictive model , Risk-factors , Breast cancer