Patterns of Failure in Women Who Have Residual Nodal Disease After Neoadjuvant Chemotherapy for Breast Cancer According to Extent of Lymph Node Surgery

2020 ◽  
Vol 20 (5) ◽  
pp. 431-438
Author(s):  
Margaret M. Kozak ◽  
Kathleen C. Horst ◽  
Paulina M. Gutkin ◽  
Clare E. Jacobson ◽  
Emily Walck ◽  
...  
2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Smriti Karki ◽  
Yasmin Hassen ◽  
Arunmoy Chakravorty ◽  
Karolina Ajauskaite ◽  
Ekambaram Dinkara Babu

Abstract Aims NICE guidelines have not defined the timing of Sentinel Lymph Node Biopsy (SLNB) with respect to neoadjuvant chemotherapy (NACT). While there is an ongoing debate, the emerging consensus is in favour of SLNB following NACT in clinically node-negative (cN0) patients which confers the advantage of better prognostic outcomes as a negative SLNB negates further Axillary Lymph Node Dissection (ALND) and prevents patients having further unnecessary surgery. Thus, the aim of the study was to establish whether unnecessary ALND can be safely avoided by performing SLNB after NACT. Method Retrospective case records review of all patients treated with ALND at a single institution was undertaken from January 2018 to December 2019. Results 73 patients had ALND in this time frame. Patients received SLNB before NACT and ALND was performed if they were found node-positive on SLNB. Out of 73 patients, 24 patients had no further nodal disease, 26 had 1-2 macrometastasis and 23 had 3 or more macrometastasis on ALND. 57/73 patients had early breast cancer (T1/T2). 21/57 were cN0 but and 5/21 had NACT following SLNB and ALND after NACT. Of the 5 patients, 2 (40%) had no nodal disease on ALND. Conclusion 40% patients could have avoided ALND if SLNB was done after NACT. Also, 68% (50/73) patients who had ALND only had <2 lymph node macrometastasis. This data implies that patients with early breast cancer may be getting subjected to a second operation which not only is unnecessary but also may have debilitating complications.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jung Whan Chun ◽  
Jisun Kim ◽  
Il Yong Chung ◽  
Beom Seok Ko ◽  
Hee Jeong Kim ◽  
...  

AbstractFor residual N1 nodal disease following neoadjuvant chemotherapy (NAC) for patients with breast cancer, the optimal local therapy for axilla is an evolving area. We analyzed the long-term results of these patients according to axillary surgical methods using propensity score matching (PSM) to clarify whether omission of axillary lymph node dissection (ALND) is oncologically safe. This was a single institution retrospective study of patients with ypN1 from Asan Medical Center (AMC). We included 324 patients who had undergone axillary surgery with either sentinel lymph node biopsy (SLNB) only or ALND. The patients received NAC at AMC between 2008 and 2013. General indications for ALND included prominent nodes detected clinically before NAC, evident macrometastasis on multiple nodes during SLNB. Patients who had either micrometastasis or macrometastasis in 1 or 2 node(s) were included. SLNB was performed for patients with good responders to NAC with limited nodal burden. Patients were matched for baseline characteristics. After matching, we included 98 patients in each SLNB only group and ALND group respectively. We compared axillary recurrence-free survival (ARFS), distant metastasis-free survival (DMFS), overall survival (OS), and breast cancer-free survival (BCSS) according to the surgical method. The median follow-up period was 71 months. Univariate and multivariate analyses revealed no statistically significant differences between the two groups for ARFS, DMFS, OS, and BCSS. After the propensity score matching, no significant statistical differences were observed in 5-year ARFS, DMFS, OS, and BCSS between the SLNB only group and ALND group. SLNB might be a possible option for ALND in patients with breast cancer who have limited axillary node metastasis after NAC without compromising survival outcomes.


2021 ◽  
Vol 32 ◽  
pp. S50
Author(s):  
E. Tanrikulu Simsek ◽  
E. Çoban ◽  
E. Atag ◽  
S. Gungor ◽  
M. Sarı ◽  
...  

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