Julia E C van Steenhoven1,2, Thijs van Dalen3. 1. Department of Surgery, Diakonessenhuis Utrecht, Utrecht, The Netherlands. juliavansteenhoven@gmail.com. 2. Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands. juliavansteenhoven@gmail.com. 3. Department of Surgery, Diakonessenhuis Utrecht, Utrecht, The Netherlands.
Twenty years’ experience in practicing sentinel lymph node biopsy (SLNB) in breast cancerpatients demonstrates that residual axillary tumor burden is not synonymous with disease recurrence over time. While meta-analyses have reported a false-negative rate (FNR) for SLNB between 5 and 7%, the reported regional recurrence (RR) rate in node-negative patients is much lower (0.3–0.6%).1 Moreover, landmark randomized controlled trials (RCTs) in patients who do have a tumor-positive SLNB but do not undergo completion axillary lymph node dissection (ALND) show that these patients will also rarely develop axillary recurrences despite an almost 30% chance of having residual positive lymph nodes.2 Apart from an National Surgical Adjuvant Breast and Bowel Project (NSABP) protocol B-04-like self-limiting phenomenon that we recently demonstrated in a study in SLNB N0 patients who had undergone ablative surgery without receiving further additional treatment and had a RR risk of only 2%,3 adjuvant radiotherapy (RT) and systemic treatments are factors that temper the growth of metastases in the axilla. In the present study, we aimed to quantify the effects of whole-breast RT and systemic treatments on the RR incidence in a large-population-based cohort of SLN N0 breast cancerpatients.4
Present
In our study comprising 13,512 patients staged as N0 according to SLNB, the cumulative 5-year RR was 1.4%.4 We demonstrated that RT, as a routine part of breast-conserving therapy (BCT), chemotherapy, and hormonal therapy independently exerted a mitigating effect on the risk of developing RR with hazard ratios of 0.46, 0.31, and 0.40, respectively. None of these treatments had been given with the intent to reduce risk of developing RR. This is the first study to report the magnitude of these effects in a large population-based cohort and may help to explain the observed discrepancy between the FNR of SLNB and RR in N0 patients. Extrapolating the effect size to the SLNB N+ patient category receiving whole-breast RT as routine part of BCT and commonly receiving adjuvant systemic treatment also helps to explain the gap between the rate of additional non-SLNs (27%) and the observed RR of 1.5% without axillary surgery.
Future
The present data may help to explain the discrepancy between residual tumor-positive nodes and the observed RR risk. These data may also be of help to omit axillary surgery in patient categories for whom evidence is scarce. A trial including SLNB-positive patients who had undergone ablative surgery and were randomized to undergo or not axillary clearance was stopped due to slow patient accrual.5 The present data may help to address RR risk in those patients. Given a reported risk of metastatic lymph node involvement and the deployment of these nonsurgical treatment modalities, the subsequent risk of axillary recurrence can be estimated. Another RCT currently investigates whether omitting SLNB in clinically node-negative breast cancerpatients undergoing BCT is noninferior to the current axillary staging regimes.6 Based on the reported risk of tumor-positive lymph nodes of 12–16% in this ultrasound-negative patient category, the subsequent risk of RR can be estimated in relation to the nonsurgical treatments.
Authors: Armando E Giuliano; Karla V Ballman; Linda McCall; Peter D Beitsch; Meghan B Brennan; Pond R Kelemen; David W Ollila; Nora M Hansen; Pat W Whitworth; Peter W Blumencranz; A Marilyn Leitch; Sukamal Saha; Kelly K Hunt; Monica Morrow Journal: JAMA Date: 2017-09-12 Impact factor: 56.272
Authors: Marleen M Roos; Julia E C van Steenhoven; Kim C Aalders; Kay Schreuder; Josephina P J Burgmans; Sabine Siesling; Sjoerd Elias; Thijs van Dalen Journal: Ann Surg Oncol Date: 2018-11-01 Impact factor: 5.344
Authors: L M van Roozendaal; M L G Vane; T van Dalen; J A van der Hage; L J A Strobbe; L J Boersma; S C Linn; M B I Lobbes; P M P Poortmans; V C G Tjan-Heijnen; K K B T Van de Vijver; J de Vries; A H Westenberg; A G H Kessels; J H W de Wilt; M L Smidt Journal: BMC Cancer Date: 2017-07-01 Impact factor: 4.430
Authors: L M van Roozendaal; J H W de Wilt; T van Dalen; J A van der Hage; L J A Strobbe; L J Boersma; S C Linn; M B I Lobbes; P M P Poortmans; V C G Tjan-Heijnen; K K B T Van de Vijver; J de Vries; A H Westenberg; A G H Kessels; M L Smidt Journal: BMC Cancer Date: 2015-09-03 Impact factor: 4.430
Authors: Julia E C van Steenhoven; Anne Kuijer; Marissa C van Maaren; Marleen Roos; Sjoerd G Elias; Paul J van Diest; Sabine Siesling; Marjolein L Smidt; Liesbeth J Boersma; Thijs van Dalen Journal: Ann Surg Oncol Date: 2020-03-20 Impact factor: 5.344