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http://dx.doi.org/10.7314/APJCP.2013.14.10.6081

Prognostic Significance of Interactions Between ER Alpha and ER Beta and Lymph Node Status in Breast Cancer Cases  

Han, Shu-Jing (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Guo, Qing-Qing (Beijing Friend Hospital, Capital University of Medical Sciences)
Wang, Ting (Departments of General Surgery, Xinjing Hospital, Xi'an)
Wang, You-Xin (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Zhang, Yu-Xiang (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Liu, Fen (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Luo, Yan-Xia (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Zhang, Jie (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Wang, You-Li (Peking University People's Hospital)
Yan, Yu-Xiang (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Peng, Xiao-Xia (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Ling, Rui (Departments of General Surgery, Xinjing Hospital, Xi'an)
He, Yan (Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University)
Publication Information
Asian Pacific Journal of Cancer Prevention / v.14, no.10, 2013 , pp. 6081-6084 More about this Journal
Abstract
Objective: Both estrogen receptors, ER alpha ($ER{\alpha}$) and ER beta ($ER{\beta}$), are expressed in 50-70% of breast cancer cases. The role of $ER{\alpha}$ as a prognostic marker in breast cancer has been well established as its expression is negative correlated with tumor size and lymph node metastasis. $ER{\beta}$ is also a favorable prognostic predictor although this is less well documented than for $ER{\alpha}$. Materials and Methods: To explore whether ERs independently or together might influence clinical outcome in breast cancer, the correlation between the ERs with the clinicopathological features was analyzed in 84 patients. Results: $ER{\alpha}$ expression negatively correlated with tumor stage (r=-0.246, p=0.028) and tended to be negatively correlated with lymph node status (r=-0.156, p=0.168) and tumor size (r=-0.246, p=0.099). Also, $ER{\beta}$ was negatively correlated with nodal status (r=-0.243, p=0.028), as was coexpression of $ER{\alpha}$ and $ER{\beta}$ (p=0.043, OR=0.194, 95% CI= 0.040-0.953). Conclusion: Coexpression of ERs might serve as an indicator of good prognosis in breast cancer patients.
Keywords
Breast cancer; ER alpha; ER beta; interaction; lymph node; metastasis;
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