P48 Impact of metastatic axillary lymph node ratio on prognostic significance in stage IIIC (pN3) breast cancer

The Breast ◽  
2007 ◽  
Vol 16 ◽  
pp. S26
Author(s):  
H.-K. Lee ◽  
S. Ko ◽  
C. Yoon ◽  
S. Kang ◽  
M. Hur ◽  
...  
2011 ◽  
Vol 14 (3) ◽  
pp. 204 ◽  
Author(s):  
Ji-Yoon Kim ◽  
Mi-Ryeong Ryu ◽  
Byung-Ock Choi ◽  
Woo-Chan Park ◽  
Se Jeong Oh ◽  
...  

2010 ◽  
Vol 28 (15_suppl) ◽  
pp. e11004-e11004
Author(s):  
B. H. Ly ◽  
V. Vinh-Hung ◽  
S. A. Joseph ◽  
N. Coutty ◽  
G. Vlastos ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e61410 ◽  
Author(s):  
San-Gang Wu ◽  
Zhen-Yu He ◽  
Qun Li ◽  
Jia-Yuan Sun ◽  
Feng-Yan Li ◽  
...  

ISRN Oncology ◽  
2011 ◽  
Vol 2011 ◽  
pp. 1-10
Author(s):  
Nüvit Duraker ◽  
Bakır Batı ◽  
Davut Demir ◽  
Zeynep Civelek Çaynak

We evaluated the prognostic significance of lymph node ratio (LNR), number of metastatic lymph nodes divided by number of removed nodes in 924 breast carcinoma patients with 1–3 metastatic axillary lymph node(s). The most significant LNR threshold value separating patients in low- and high-risk groups with significant survival difference was 0.20 for disease-free survival (P<0.001), 0.30 for locoregional recurrence-free survival (P<0.001), and 0.15 for distant metastasis-free survival (P<0.001), and the patients with lower LNR had better survival. All three LNR threshold values had independent prognostic significance in Cox analysis (P<0.001 for all three of them). In conclusion, LNR is a useful tool in separating breast carcinoma patients with 1–3 metastatic lymph node(s) into low- and high-risk prognostic groups.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 1099-1099
Author(s):  
Swati Batra ◽  
Manomoy Ganguly ◽  
Narayanan Kannan ◽  
Rajnish Talwar ◽  
Puneet Takkar ◽  
...  

1099 Background: The axillary lymph node ratio (LNR), i.e., the ratio of positive over excised lymph nodes offers potentially improved prognostication, selection for adjuvant therapy and inter-institutional comparability compared to conventional pathological nodal staging (pN). A consensus on appropriate cut-offs however, remains to be achieved. Values of 0.20 and 0.65 to classify patients into low, intermediate and high-risk groups were proposed by Vinh-Hung et al, in the largest study on the subject till date. We perform a validation of the LNR concept for the first time in an independent patient population from the Indian subcontinent. Methods: 225 patients with a median follow-up of 42 months (range: 2 – 246 months) who underwent upfront surgery for breast cancer at a tertiary care hospital in Delhi, India, were retrospectively analysed, using Cox multivariate regression. Results: Using the above cut-off points, 10-year disease-free survival (DFS) rates of 83%, 74% and 28% and adjusted hazard ratios (HR) of 1.19 (95% CI 0.33 to 4.37), 2.21 (95% CI 0.75 to 6.51) and 6.88 (95% CI 1.58 – 29.92; P = 0.01) were obtained for the low-, intermediate- and high-risk groups respectively. The corresponding risks for the pN1, pN2 and pN3 categories were 1.74, 1.74, and 1.35, representing inadequate, even reversed prognostic separation. When both the LNR and pN were included as continuous variables, the nodal ratio remained prognostically significant with an adjusted HR of 12.33 (95% CI 1.1 – 142.5, P = 0.04) in contrast to the number of positive nodes which were not found to be significantly associated with DFS (HR = 0.97, 95% CI 0.9 – 1.1, P = 0.41). Conclusions: The LNR outperformed the pN staging in predicting DFS in our cohort of patients, irrespective of whether it was modeled as a categorical or a continuous variable. Simultaneous analysis with pN only increased its prognostic weight and resulted in exclusion of pN from the multivariate model. Our study thus provides independent external validation of Vinh-Hung’s proposed cut-offs and contributes to the growing body of literature supporting the incorporation of a ratio-based system into breast cancer staging.


PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e45809 ◽  
Author(s):  
Nakul Saxena ◽  
Mikael Hartman ◽  
Cheng-Har Yip ◽  
Nirmala Bhoo-Pathy ◽  
Lay Wai Khin ◽  
...  

2010 ◽  
Vol 15 (10) ◽  
pp. 1050-1062 ◽  
Author(s):  
Vincent Vinh‐Hung ◽  
Sue A. Joseph ◽  
Nadege Coutty ◽  
Bevan Hong Ly ◽  
Georges Vlastos ◽  
...  

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