Lymph Node Ratio and pN Staging Show Different Superiority As Prognostic Predictors Depending on the Number of Lymph Nodes Dissected in Chinese Patients With Luminal A Breast Cancer

2012 ◽  
Vol 12 (6) ◽  
pp. 404-411 ◽  
Author(s):  
Fang Wang ◽  
Wenzhuo He ◽  
Huijuan Qiu ◽  
Xi Wang ◽  
Guifang Guo ◽  
...  
2019 ◽  
Vol 15 (2) ◽  
pp. 76-84 ◽  
Author(s):  
Fabiana Tonellotto ◽  
◽  
Anke Bergmann ◽  
Karen de Souza Abrahao ◽  
Suzana Sales de Aguiar ◽  
...  

2009 ◽  
Vol 27 (7) ◽  
pp. 1062-1068 ◽  
Author(s):  
Vincent Vinh-Hung ◽  
Helena M. Verkooijen ◽  
Gerald Fioretta ◽  
Isabelle Neyroud-Caspar ◽  
Elisabetta Rapiti ◽  
...  

PurposeIn the current pTNM classification system, nodal status of breast cancer is based on the number of involved lymph nodes and does not account for the total number of lymph nodes removed. In this study, we assessed the prognostic value of the lymph node ratio (LNR; ie, ratio of positive over excised lymph nodes) as compared with pN staging and determined its optimal cutoff points.Patients and MethodsFrom the Geneva Cancer Registry, we identified all women diagnosed with node-positive breast cancer between 1980 and 2004 (n = 1,829). The prognostic value of LNRs was calculated for values ranging from 0.05 to 0.95 by Cox regression analysis and validated by bootstrapping. Based on maximum likelihood, we identified cutoff points classifying women into low-, intermediate-, and high-risk LNR groups.ResultsOptimal cutoff points classified patients into low- (≤ 0.20), intermediate- (> 0.20 and ≤ 0.65), and high-risk (> 0.65) LNR groups, corresponding to 10-year disease-specific survival rates of 75%, 63%, and 40%, and adjusted mortality risks of 1 (reference), 1.78 (95% CI, 1.46 to 2.18), and 3.21 (95% CI, 2.54 to 4.06), respectively. In contrast to LNR risk categories, survival curves of pN2 and pN3 crossed after 15 years, and their adjusted mortality risks showed overlapping CIs: 2.07 (95% CI, 1.69 to 2.53) and 2.84 (95% CI, 2.23 to 3.61), respectively.ConclusionLNR predicts survival after breast cancer more accurately than pN classification and should be considered as an alternative to pN staging.


Mastology ◽  
2018 ◽  
Vol 28 (s1) ◽  
pp. 73-73 ◽  
Author(s):  
Fabiana Tonellotto ◽  
◽  
Anke Bergmann ◽  
Karende Souza Abrahão ◽  
Suzana Sales de Aguiar ◽  
...  

2019 ◽  
Vol 25 (5) ◽  
pp. 1020-1022
Author(s):  
Shaofei Su ◽  
Chao Wang ◽  
Xinyu Wang ◽  
Xi Li ◽  
Zhiqiang Wang ◽  
...  

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