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126 Predictors of lymph nodes metastasis in 209 patients with early invasive breast cancer: one year experience of a single cancer center
  1. L Achouri,
  2. H Mansouri,
  3. S Ben Othmen,
  4. I Ben Safta,
  5. R Chargui,
  6. H Bouzaiene and
  7. K Rahal
  1. Salah Azaiez Institute, Surgical Oncology, Tunis, Tunisia


Objectives The aim of this study was to identify predictive factors of axillary lymph node metastasis (ALNM) in early breast cancer (EBC).

Methods It was a retrospective study of 209 patients with T0-T1-T2 breast cancer who underwent resection of the primary tumor and axillary staging by sentinel lymph node biopsy (SLNB) and/or axillary lymph node dissection (ALND) over 2012 at our institute.The χ2 test and Fisher’s exact probability tests were used for categorical variables,and t-test for continuous variables.Predictors of ALNM were identified by univariate and multivariable logistic regression analyses using SPSS statistical software package (version 20.0).

Results Among the 209 patients, 48.8% (102 cases) had ALNM.Factors associated with ALNM in univariate analyses were tumor clinical size (23.5% in stage T0,41.9% in stage T1,55.4% in stage T2; p=0.02),multifocality (73.7% vs 43.3%,p=0.001),lymphovascular invasion (LVI) (77.1% vs 43.1%,p<0.0001),HER2 overexpression (66.7% vs 45.1%,p=0.018) and Ki67 value ≥14% (55.5% vs 41.4%,p=0.043) as well as molecular subtype (40% in luminal A,56.7% in luminal B,66.7% in HER 2 and 36.8% in triple negative subtype, p=0.049).The presence of the estrogen receptors (ER), progesterone receptors (PR) have no influence on the risk of ALNM.However,the rate of positive ER was significantly lower in patients with ALNM (72.76% ±25.76 vs 84.19 ±19.865,p=0.002). On multivariate logistic regression model, the presence of LVI (OR=4.450,CI=1.756–11.278,p=0.002), the tumor clinical size (OR=1.261,CI=1.088–1.463,p=0.002) and the rate of ER positivity (OR=0.977,CI=0.962–0.991,p=0.002) remained as independent predictors of ALNM.

Conclusions Our results suggest that LVI, tumor size and the rate of positive ER are predictive factors for ALNM in EBC.

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