Non-Alcoholic Fatty Liver Disease Induced by Selective Estrogen Receptor Modulat
PUBLISHED: 2015-11-27  391 total views, 2 today

Qiufan Zheng, Man Nie, Fei Xu, Wen Xia, Yanxia Shi, Zhongyu YuanRoujun Peng, Xin An, Tao Qin, Ge Qin

 Department of Medical Oncology, Sun Yat-sen University Cancer Center


Objective:Non-alcoholic fatty liver disease (NAFLD) induced by selective estrogen receptor modulators (SERMs) treatment may be related to treatment efficacy for the antagonism of circulating estrogens. We conducted a retrospective study to investigate the relationship between survival outcomes and NAFLD in breast cancer patients treated with tamoxifen or toremifene. Method: 785 eligible patients received tamoxifen or toremifene in Sun Yat-sen university cancer center from January 2005 to December 2009 were included into our study. All patients have at less one abdominal ultrasonography measurement at baseline and every year's follow-up. Patients who diagnosed NAFLD by ultrasonography during three-year's follow-up were classified into NAFLD cohort, others were classified into no-NAFLD cohort. Univariate and multivariate Cox regression was utilized to analysis the relationship between NAFLD and disease-free survival (DFS) and overall survival (OS). Result: 158 patients had reported NAFLD in the first 3 years' follow-up. Patients who developed NAFLD had better DFS and OS than those not developing NAFLD. The 5-years DFS was 91.56% and 85.01% at NAFLD and no-NAFLD cohort (univariate hazard ratio [HR]: 0.59 [95%CI 0.37-0.96], P=0.034), respectively. The 5-years OS was 96.64% and 93.31% at NAFLD and no-NAFLD cohort (univariate HR: 0.39 [95%CI 0.16-0.99], P=0.047), respectively. Multivariate analysis revealed that NAFLD is an independent prognostic factor on DFS in breast cancer patients with SERMs treated. Women treated with SERMs experienced NAFLD in the first three-year's follow-up had a reduced risk of DFS of 42% (multivariate HR: 0.58; [95%CI 0.36-0.95], P=0.032) compared with patients without NAFLD. Conclusion:NAFLD induced by SERMs seems to be associated with improved prognosis and may therefore be helpful in forecasting treatment responses in breast cancer patients treated with SERMs.


Key Words: selective estrogen receptors modulators (SERMs)

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