Literature DB >> 31066184

Predicting non-sentinel lymph node metastasis in Australian breast cancer patients: are the nomograms still useful in the post-Z0011 era?

Grace Tapia1,2, Victoria Ying1, Angelina Di Re2, Anna Stellin1, Tommy Y Cai1, Sanjay Warrier1.   

Abstract

BACKGROUND: Axillary lymph node dissection (ALND) can be avoided in breast cancer patients with low-volume disease in the sentinel lymph nodes (SLNs) according to Z0011 trial. We believe that nomograms developed for predicting non-sentinel lymph node (NSLN) metastases can guide the axillary treatment in patients who do not fully match the criteria of Z0011 study. We identified risk factors and evaluated the performance of three nomograms to predict NSLN status in patients with positive SLNs.
METHODS: Data from 526 breast cancer patients with positive SLNs who underwent ALND at two Australian hospitals from 2002 to 2015 were studied. Univariate and multivariate associations for NSLN metastasis were analysed. Predictive models evaluated were MD Anderson Cancer Centre (MDA), Helsinki University Hospital and Memorial Sloan Kettering Cancer Centre.
RESULTS: Thirty-nine per cent of patients demonstrated NSLN metastasis. The multivariate analysis identified extranodal extension (OR 3.2, 95% CI 2.07-4.80), tumour size >2 cm (OR 2.5, 95% CI 1.66-3.89), macrometastasis (OR 1.9, 95% CI 1.09-3.47), positive SLN ratio >0.5 (OR 1.7, 95% CI 1.16-2.60) and lymphovascular invasion (OR 1.6, 95% CI 1.09-2.44) as independent predictors for NSLN metastasis. MDA nomogram showed the best discrimination (area under the curve of 0.74) and a 9% false negative rate for predicted probability of NSLN metastasis ≤10%.
CONCLUSION: Our results suggest that presence of extranodal extension and tumour size >2 cm may influence the need of further axillary treatment. Conversely, ALND can be safety spared in low risk patients identified by MDA nomogram.
© 2019 Royal Australasian College of Surgeons.

Entities:  

Keywords:  breast cancer; external validation; nomogram; non-sentinel lymph node metastasis; sentinel lymph node biopsy

Mesh:

Year:  2019        PMID: 31066184     DOI: 10.1111/ans.15173

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  5 in total

1.  Can axillary lymphadenectomy be avoided in breast cancer with positive sentinel lymph node biopsy? Predictors of non-sentinel lymph node metastasis.

Authors:  Sonia Martinez Alcaide; Carlos Alberto Fuster Diana; Julia Camps Herrero; Laia Bernet Vegue; Antonio Valdivia Perez; Eugenio Sahuquillo Arce; Juan Blas Ballester Sapiña; Pedro Juan Gonzalez Noguera; Jose Marcelo Galbis Caravajal
Journal:  Arch Gynecol Obstet       Date:  2022-05-03       Impact factor: 2.344

2.  Nomogram for Predicting Lymph Node Involvement in Triple-Negative Breast Cancer.

Authors:  Xiang Cui; Hao Zhu; Jisheng Huang
Journal:  Front Oncol       Date:  2020-12-04       Impact factor: 6.244

3.  Application of the Machine-Learning Model to Improve Prediction of Non-Sentinel Lymph Node Metastasis Status Among Breast Cancer Patients.

Authors:  Qian Wu; Li Deng; Ying Jiang; Hongwei Zhang
Journal:  Front Surg       Date:  2022-04-25

4.  Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Authors:  Xueyi Zheng; Zhao Yao; Yini Huang; Yanyan Yu; Yun Wang; Yubo Liu; Rushuang Mao; Fei Li; Yang Xiao; Yuanyuan Wang; Yixin Hu; Jinhua Yu; Jianhua Zhou
Journal:  Nat Commun       Date:  2020-03-06       Impact factor: 14.919

5.  Analysis of factors related to N2- or N3-stage breast cancer associated with 1-2 positive sentinel lymph nodes in Chinese patients.

Authors:  Ming Luo; Huiming Yuan; Cheng Long; Ka Su; Fu Li; Jian Zeng
Journal:  Transl Cancer Res       Date:  2020-04       Impact factor: 1.241

  5 in total

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