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Medical Science Monitor Basic Research
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eISSN: 1643-3750

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Tumor characteristics of breast cancer in predicting axillary lymph node metastasis

Hsin-Shun Tseng, Li-Sheng Chen, Shou-Jen Kuo, Shou-Tung Chen, Yu-Fen Wang, Dar-Ren Chen

(Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan)

Med Sci Monit 2014; 20:1155-1161

DOI: 10.12659/MSM.890491


Background: Tumor characteristics was sought to be related to axillary lymph node metastasis (ALNM), the paramount prognostic factor in patients with invasive breast cancer. This study was aimed to identify the ALNM-associated tumor characteristics and to determine the predictive clinical pathway.
Material and Methods: Data from 1325 patients diagnosed with invasive breast cancer between January 2004 and January 2010 were retrospectively reviewed. The structure equation model (SEM) was used to build the predictive clinical pathway.
Results: Among the factors found in the final model, the status of human epidermal growth factor receptor 2 is the primary influence on ALNM through histology grade (β=0.18), followed by tumor size (β=0.16). Tumor size was highly relevant to lymphovascular invasion (LVI) and influenced ALNM through LVI (β=0.26), the strongest predictor of ALNM in the final model (β=0.46) and the highest risk of ALNM (odds ratio=9.282; 95% confidence interval: 7.218–11.936).
Conclusions: The structure equation model presented the relation of these important predictors, and might help physicians to assess axillary nodal condition and appropriate surgical procedures.

This paper has been published under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.
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