首页 | 本学科首页   官方微博 | 高级检索  
     


Predicting Non-sentinel Lymph Node Metastases in Patients with a Positive Sentinel Lymph Node After Neoadjuvant Chemotherapy
Authors:Alison U. Barron  Tanya L. Hoskin  Judy C. Boughey
Affiliation:1.Department of Surgery,Mayo Clinic,Rochester,USA;2.Division of Health Sciences Research,Mayo Clinic,Rochester,USA
Abstract:

Background

The standard of care for breast cancer patients treated with neoadjuvant chemotherapy (NAC) who have a positive sentinel lymph node (+SLN) after NAC is completion axillary lymph node dissection (ALND). This study aimed to develop a nomogram to predict additional nodal disease in patients with +SLN after NAC.

Methods

The study reviewed patients 18 years of age or older who had invasive breast cancer treated with NAC followed by SLN surgery with +SLN and ALND between 2006 and 2017 at the authors’ institution. Factors predictive of positive non-SLNs were analyzed using uni- and multivariable logistic regression.

Results

The study identified 120 patients with +SLN after NAC and ALND. Of these patients, 30.8% were clinically node-negative (cN?), and 69.2% were clinically node-positive (cN+) before NAC. Tumor biology was human epidermal growth factor receptor 2-positive (HER2+) for 20%, hormone receptor-positive (HR+)/HER2? for 66.7%, and triple-negative breast cancer (TNBC) for 13.3% of the patients. Additional nodal disease was found on ALND for 63.3% of the patients. In the univariate analysis, the factors predictive of positive non-SLNs were biologic subtype (TNBC and HR+/HER2? vs HER2+; p?p?=?0.047), higher pT category (p?=?0.02), SLN extranodal extension (p?=?0.03), larger SLN metastasis size (p?p?=?0.02). The factors significant in the multivariable analysis included number of +SLNs, grade 3 vs grade 1 or 2, HER2+ versus HER2?, cN+ versus cN?, and larger SLN metastasis size. The resulting model showed excellent discrimination (area under the curve, 0.82; 95% confidence interval, 0.74–0.90) and good calibration (p?=?0.54, Hosmer–Lemeshow).

Conclusion

A clinical prediction model incorporating biologic subtype, grade, clinical node status, size of the largest SLN metastasis, and number of +SLNs can help physicians and patients estimate the likelihood of additional nodal disease and may be useful for guiding decision making regarding axillary management.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号