蛋白组学和代谢组学联合探讨绝经后乳腺癌妇女内分泌治疗并发动脉粥样硬化性心血管疾病的相关因素及临床意义

摘要
图/表
参考文献
相关文章 (2)

全文: PDF (2212 KB) HTML (0 KB)
输出: BibTeX | EndNote (RIS)

摘要 目的: 基于蛋白组、代谢组的多平台组学关联分析绝经后乳腺癌（BC）妇女行内分泌治疗发生动脉粥样硬化性心血管疾病（ASCVD）的相关危险因素及其临床预测意义。方法: 选取2020年1月―2021年9月本院收治的浸润性乳腺癌患者147例,根据颈动脉IMT检查及临床综合诊断将患者分为ASCVD组68例和非ASCVD组79例。收集两组患者的临床资料,用蛋白组和代谢组的多平台组学关联分析与ASCVD发生有关的脂质分子,将单因素分析中P<0.05因素纳入并多因素Logistic分析绝经后内分泌治疗乳腺癌患者发生ASCVD的危险因素,绘制ROC曲线分析危险因素指标对乳腺癌患者发生ASCVD的诊断价值。结果: 三酰甘油（TG）、低密度脂蛋白胆固醇（LDL-C）、血脂总胆固醇（TC）、高密度脂蛋白胆固醇（HDL-C）是多平台组学分析筛选出与乳腺癌妇女发生ASCVD明显相关的脂蛋白分子。单因素分析ASCVD组、非ASCVD组的HDL-C、TC、LDL-C、TG、高血压、非甾体AI药物存在明显差异。多因素Logistic分析非甾体AI药物使用、HDL-C、TC、LDL-C、TG是绝经后乳腺癌患者发生ASCVD的危险因素。HDL-C、TC、LDL-C、TG、高血压、非甾体AI药物诊断绝经后乳腺癌行内分泌治疗发生ASCVD的AUC均>0.73且敏感度、特异度均>60.00%。结论: 绝经后乳腺癌妇女经内分泌治疗发生ASCVD主要危险因素为非甾体AI药物使用、HDL-C、TC、LDL-C、TG,其对预测该类患者发生ASCVD具有重要的指导意义。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	黄波
	袁园园
	张观英

关键词 ：多平台组学, 内分泌治疗, 绝经, 乳腺癌, 动脉粥样硬化心血管疾病

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.

Key words： multi-platform omics endocrine therapy menopause breast cancer atherosclerosis cardiovascular disease

收稿日期: 2022-06-24

中图分类号:

R737.9

基金资助:2021年深圳市宝安区基础研究项目（医疗卫生类,2021JD130）

通讯作者: 黄波,E-mail：huangbo198210@126.com

引用本文:

黄波, 袁园园, 张观英. 蛋白组学和代谢组学联合探讨绝经后乳腺癌妇女内分泌治疗并发动脉粥样硬化性心血管疾病的相关因素及临床意义[J]. 金宝搏官方188学报(医学版), 2023, 20(1): 39-43. 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. HuNan ShiFan DaXue XueBao(YiXueBan), 2023, 20(1): 39-43.

链接本文:

http://yxb.hunnu.edu.cn/CN/ 或 http://yxb.hunnu.edu.cn/CN/Y2023/V20/I1/39

[1] 张雪, 董晓平, 管雅喆, 等. 女性乳腺癌流行病学趋势及危险因素研究进展[J]. 肿瘤防治研究, 2021, 48(1): 87-92.
[2] Keilty D, Nezafat Namini S, Swain M, et al.Patterns of Recurrence and Predictors of Survival in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy, Surgery, and Radiation[J]. Int J Radiat Oncol Biol Phys, 2020, 108(3): 676-685.
[3] Kalinina T, Kononchuk V, Alekseenok E, et al.Expression of Estrogen Receptor-and Progesterone Receptor-Regulating MicroRNAs in Breast Cancer[J]. Genes (Basel), 2021, 12(4): 582.
[4] Nsonwu-Anyanwu AC, Usoro A, Etuk EB, et al.Evaluation of biomarkers of oxidative stress and female reproductive hormones in post menopausal women with breast cancer in Southern Nigeria[J]. Niger J Clin Pract, 2021, 24(2): 168-176.
[5] 张媛媛, 黑江荣, 袁秀红, 等. 经皮雌激素对卵巢早衰患者血清性激素、超敏C反应蛋白、血脂及凝血功能的影响[J]. 中国妇产科临床杂志, 2021, 22(1): 64-65.
[6] 杨晴, 梁岩. 乳腺癌后心血管疾病的死亡危险性[J]. 实用肿瘤杂志, 2021, 36(2): 105-109.
[7] 南楠, 左惠娟, 周渊, 等. 比较3种不同指南/共识评价极高风险或超高危动脉粥样硬化性心血管疾病危险分层和血脂达标率差异[J]. 中华内科杂志, 2022, 61(4): 377-383.
[8] 李健斌, 江泽飞.2021年中国临床肿瘤学会乳腺癌诊疗指南更新要点解读[J]. 中华医学杂志, 2021, 101(24): 1835-1838.
[9] 王炜鹏, 张涛. 乳腺区段切除术对绝经后乳腺癌患者的治疗效果及安全性分析[J]. 癌症进展, 2021, 19(19): 2002-2004+2035.
[10] Dzaye O, Razavi AC, Blaha MJ, et al.Evaluation of coronary stenosis versus plaque burden for atherosclerotic cardiovascular disease risk assessment and management[J]. Curr Opin Cardiol, 2021, 36(6): 769-775.
[11] 赵水平. 严格管理好血脂, 从源头防治动脉粥样硬化性心血管疾病[J]. 中华心血管病杂志, 2021, 49(6): 545-547.
[12] 王利民, 陈爱莲, 赵振凯. 心血管病高危人群中医体质特点及与BMI、血脂的相关性分析[J]. 中西医结合心脑血管病杂志, 2019, 17(6): 873-876.
[13] Koca N, Ayar K, BalÖ, et al. The evaluation of the role of BMI and insulin resistance on inflammatory markers, PAI-1 levels and arterial stiffness in newly diagnosed type 2 diabetes mellitus patients[J]. Minerva Endocrinol (Torino), 2021, 46(1): 116-123.
[14] Kunc M, Popeda M, Biernat W, et al.Lost but Not Least-Novel Insights into Progesterone Receptor Loss in Estrogen Receptor-Positive Breast Cancer[J]. Cancers (Basel), 2021, 13(19): 4755.
[15] 骆燕萍, 俞艳烨, 邹茜. 绝经前后冠心病患者临床特点雌激素及冠状动脉病变特征分析[J]. 中国妇幼保健, 2021, 36(20): 4846-4848.
[16] 王春林, 梁黎. 第三代非甾体类芳香化酶抑制剂在儿科内分泌临床应用的再认识[J]. 浙江大学学报 (医学版), 2020, 49(3): 275-282.
[17] 刘叶红, 靳天慧, 陈亮, 等. 血清甲状旁腺激素/HDL-C及LDL-C/HDL-C与冠状动脉病变严重程度的相关性[J]. 临床心血管病杂志, 2020, 36(11): 985-990.
[18] GumàJ, Adriá-Cebrián J, Ruiz-Aguado B, et al. Altered Serum Metabolic Profile Assessed by Advanced 1H-NMR in Breast Cancer Patients[J]. Cancers (Basel), 2021, 13(17): 4281.
[19] 汪丹, 张晓静, 刘琳. 围绝经期激素治疗对内分泌代谢的影响[J]. 中国妇幼保健, 2020, 35(9): 1689-1692.