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| To explore the related factors and clinical significance of atherosclerosis cardiovascular disease in postmenopausal breast cancer women treated with endocrine therapy by combining proteomics and metabolomics |
| HUANG Bo, YUAN Yuanyuan, ZHANG Guanying |
| Department of thyroid and breast surgery , the Second Affiliated Hospital of Shenzhen University/People's Hospital of Shenzhen Baoan District, Shenzhen 518101, China |
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Abstract Objective To analyze the risk factors of atherosclerotic cardiovascular disease (ASCVD) in postmenopausal breast cancer (BC) women receiving endocrine therapy and its clinical predictive significance based on proteomics and metabolomics multi-platform omics association. Methods A total of 147 patients with invasive breast cancer admitted to our hospital from January 2020 to September 2021 were selected as the research objects. According to carotid IMT examination and clinical comprehensive diagnosis, the patients were divided into ASCVD group (68 cases) and non-ASCVD group (79 cases). The clinical data of the two groups were collected, and the lipid molecules related to ASCVD were analyzed by multi-platform proteomics and metabolomics association analysis. The factors with P<0.05 in univariate analysis were included and multivariate Logistic analysis was used to analyze the risk factors of ASCVD in postmenopausal breast cancer patients with endocrine therapy. Receiver operating characteristic (ROC) curve was drawn to analyze the diagnostic value of risk factors for ASCVD in breast cancer patients. Results Triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) were identified as lipoprotein molecules significantly associated with ASCVD in breast cancer women by multi-platform omics analysis. Univariate analysis showed that there were significant differences in HDL-C, TC, LDL-C, TG, hypertension, and non-steroidal AI drugs between the ASCVD group and the non-ASCVD group. Multivariate Logistic analysis showed that the use of non-steroidal AI drugs, HDL-C, TC, LDL-C and TG were risk factors for ASCVD in postmenopausal breast cancer patients. The AUC of HDL-C, TC, LDL-C, TG, hypertension, and non-steroidal AI drugs in the diagnosis of ASCVD in postmenopausal breast cancer treated with endocrine therapy were all >0.73, and the sensitivity and specificity were all >60.00%. Conclusions The use of non-steroidal AI drugs, HDL-C, TC, LDL-C and TG are the main risk factors for ASCVD in postmenopausal breast cancer women with endocrine therapy, which have important guiding significance in predicting ASCVD in such patients.
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Received: 24 June 2022
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HUANG Bo,YUAN Yuanyuan,ZHANG Guanying. To explore the related factors and clinical significance of atherosclerosis cardiovascular disease in postmenopausal breast cancer women treated with endocrine therapy by combining proteomics and metabolomics[J]. HuNan ShiFan DaXue XueBao(YiXueBan), 2023, 20(1): 39-43.
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| URL: |
| http://yxb.hunnu.edu.cn/EN/ OR http://yxb.hunnu.edu.cn/EN/Y2023/V20/I1/39 |
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2023, Vol. 20 
