Article(id=1324044698410681060, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324044540067328424, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202510098, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760284800000, receivedDateStr=2025-10-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793606455661, onlineDateStr=2026-11-02, pubDate=1777046400000, pubDateStr=2026-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793606455661, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793606455661, creator=13701087609, updateTime=1793606455661, updator=13701087609, issue=Issue{id=1324044540067328424, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='8', pageStart='1345', pageEnd='1536', issueExtLink='null', onlineDate='null', pubDate='1777046400000', pubDateStr='2026-04-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793606417910, creator='13701087609', updateTime=1793606417910, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=1530, endPage=1536, ext={EN=ArticleExt(id=1324044698893026021, articleId=1324044698410681060, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Association of very-low-density lipoprotein cholesterol with atherosclerotic cardiovascular disease in long term breast cancer survivors, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective

To investigate the association between very-low-density lipoprotein cholesterol (VLDL-C) and its components with atherosclerotic cardiovascular disease (ASCVD) risk in long-term breast cancer survivors.

Methods

This study included 2 333 female participants with a history of breast cancer diagnosed at least 3 years before baseline in the UK Biobank. Cox proportional hazards models were used to assess the associations of VLDL-C and its components, cholesteryl ester (VLDL-CE) and free cholesterol (VLDL-FC), with ASCVD incidence.

Results

During a median follow-up of 13.9 years, 238 participants developed ASCVD. Compared with the lowest quartile, participants in the highest quartile of VLDL-C had a 61% higher risk of ASCVD (HR=1.61, 95%CI: 1.09-2.37). Similar associations were observed for VLDL-CE and VLDL-FC, with a stronger effect for VLDL-FC. Subgroup analyses revealed that the association between VLDL-C and ASCVD was more significant among participants receiving cancer treatment.

Conclusion

Among long-term breast cancer survivors, elevated VLDL-C and its components are positively associated with ASCVD risk, suggesting their potential as biomarkers for cardiovascular risk assessment in this population.

, authors=Yan-chen ZHAO1, Yun-fei LI1, Jia-he WANG1, Xi-zi SUN1, Zhi-yuan WU2, Xiu-hua GUO1, Li-xin TAO1, authorsList=Yan-chen ZHAO, Yun-fei LI, Jia-he WANG, Xi-zi SUN, Zhi-yuan WU, Xiu-hua GUO, Li-xin TAO, authorCompany=null, correspAuthors=Li-xin TAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324044701850010352, articleId=1324044698410681060, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=长期乳腺癌患病人群极低密度脂蛋白胆固醇与动脉粥样硬化性心血管疾病的关联研究, columnId=1228016570119680182, journalTitle=现代预防医学, columnName=临床与预防, runingTitle=null, highlight=null, articleAbstract=
目的

探讨长期乳腺癌患病人群中极低密度脂蛋白胆固醇(VLDL-C)及其组分与动脉粥样硬化性心血管疾病(ASCVD)风险的关联。

方法

基于英国生物银行前瞻性队列,纳入基线2006—2010年乳腺癌病程≥3年的女性患者2 333例,随访时间截止2023年12月31日。采用Cox比例风险回归模型研究VLDL-C及其组分胆固醇酯(VLDL-CE)和游离胆固醇(VLDL-FC)与ASCVD风险的关联性。

结果

在中位随访13.9年期间,共238名研究对象发生了ASCVD。与最低四分位数组相比,VLDL-C最高四分位数组ASCVD风险增加61%(HR=1.61,95%CI:1.09~2.37)。VLDL-CE和VLDL-FC显示类似趋势,其中VLDL-FC与ASCVD的关联效应值更高。分层分析结果显示,在接受癌症治疗的研究对象中VLDL-C与ASCVD风险的关联更为显著。

结论

在长期乳腺癌患病人群中,VLDL-C及其组分与ASCVD风险呈正向关联,提示VLDL-C可作为该人群心血管风险评估的重要指标。

, authors=赵彦辰1, 李芸菲1, 王佳鹤1, 孙希子1, 武志远2, 郭秀花1, 陶丽新1, authorsList=赵彦辰, 李芸菲, 王佳鹤, 孙希子, 武志远, 郭秀花, 陶丽新, authorCompany=null, correspAuthors=陶丽新, authorNote=

赵彦辰(2000—),女,硕士在读,研究方向:卫生统计学,E-mail:

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陶丽新,E-mail:
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Heart and Circulatory Physiology, 2025, 329(6): H1508-H1525., articleTitle=chemotherapy-induced cardiotoxicity in breast cancer: mechanisms, diagnostic advances, and emerging protective strategies, refAbstract=null), Reference(id=1324044721034756945, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, doi=null, pmid=null, pmcid=null, year=2023, volume=117, issue=1, pageStart=223, pageEnd=236, url=null, language=null, rfNumber=[29], rfOrder=32, authorNames=Wu ZN, Chen TW, Qian YX, journalName=International Journal of Radiation Oncology, Biology, Physics, refType=null, unstructuredReference=Wu ZN, Chen TW, Qian YX, et al. High-Dose ionizing radiation accelerates atherosclerotic plaque progression by regulating P38/NCOA4-Mediated ferritinophagy/ferroptosis of endothelial cells[J]. International Journal of Radiation Oncology, Biology, Physics, 2023, 117(1): 223-236., articleTitle=High-Dose ionizing radiation accelerates atherosclerotic plaque progression by regulating P38/NCOA4-Mediated ferritinophagy/ferroptosis of endothelial cells, refAbstract=null)], funds=[Fund(id=1324044712432239405, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, awardId=7262160, language=CN, fundingSource=北京市自然科学基金(7262160), fundOrder=null, country=null), Fund(id=1324044712629371694, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, awardId=2024-1G-4033, language=CN, fundingSource=首都卫生发展科研专项项目(2024-1G-4033), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324044702076502769, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, xref=1., ext=[AuthorCompanyExt(id=1324044702084891378, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, companyId=1324044702076502769, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Beijing Key Laboratory of Environment and Aging, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China), AuthorCompanyExt(id=1324044702093279987, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, companyId=1324044702076502769, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.首都医科大学公共卫生学院,流行病与卫生统计学系,北京环境衰老重点实验室,北京 100069)]), AuthorCompany(id=1324044702177166068, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, xref=2., ext=[AuthorCompanyExt(id=1324044702189748981, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, companyId=1324044702177166068, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.哈佛大学陈曾熙公共卫生学院)])], figs=[ArticleFig(id=1324044708393124641, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=EN, label=Fig. 1, caption=Flowchart of participant inclusion and exclusion, figureFileSmall=40eq2+GX+koIPrPlvaxBqQ==, figureFileBig=d5HD4q+AdLwtkJztXPPXrA==, tableContent=null), ArticleFig(id=1324044708837720866, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=CN, label=图1, caption=纳入排除流程图

注:ASCVD,动脉粥样硬化性心血管疾病。

, figureFileSmall=40eq2+GX+koIPrPlvaxBqQ==, figureFileBig=d5HD4q+AdLwtkJztXPPXrA==, tableContent=null), ArticleFig(id=1324044710771295011, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=EN, label=Fig. 2, caption=Forest plot of multivariable Cox analysis for VLDL-C and its components with ASCVD, figureFileSmall=L1UvshHU0lsNOUAQmLAwng==, figureFileBig=b2GmH3Z0T9DEt8Nn/HVTQg==, tableContent=null), ArticleFig(id=1324044711069090596, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=CN, label=图2, caption=VLDL-C及其组分与ASCVD的多因素Cox分析森林图

注:模型1调整年龄、高血压、糖尿病、抑郁水平、癌症治疗;模型2调整年龄、高血压、糖尿病、抑郁水平、癌症治疗、教育水平、汤森剥夺指数、吸烟、饮酒、睡眠时长、体力活动水平、饮食评分及BMI。

, figureFileSmall=L1UvshHU0lsNOUAQmLAwng==, figureFileBig=b2GmH3Z0T9DEt8Nn/HVTQg==, tableContent=null), ArticleFig(id=1324044711241057061, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=EN, label=Table 1, caption=

Baseline characteristics of the study population

, figureFileSmall=null, figureFileBig=null, tableContent=
变量总体(n=2 333)未发生ASCVD(n=2 095)发生ASCVD(n=238)P值
VLDL-C[M(P25,P75)]0.72(0.56,0.90)0.72(0.55,0.90)0.76(0.62,0.94)0.028
VLDL-CE[M(P25,P75)]0.44(0.34,0.54)0.43(0.34,0.54)0.45(0.37,0.55)0.065
VLDL-FC[M(P25,P75)]0.28(0.22,0.36)0.28(0.21,0.36)0.30(0.24,0.38)0.008
年龄(,岁)59.7±6.559.4±6.662.2±5.6<0.001
BMI(,kg/m2)27.2±4.927.0±4.828.9±5.5<0.001
吸烟[例(%)]
从不吸烟1 315(56.4)1 211(57.8)104(43.7)<0.001
既往吸烟831(35.6)730(34.8)101(42.4)
当前吸烟187(8.0)154(7.4)33(13.9)
饮酒[例(%)]0.227
从不饮酒123(5.3)106(5.1)17(7.1)
既往饮酒99(4.2)86(4.1)13(5.5)
当前饮酒2 111(90.5)1 903(90.8)208(87.4)
体力活动水平[例(%)]0.144
低430(18.4)377(18.0)53(22.3)
中993(42.6)889(42.4)104(43.7)
高910(39.0)829(39.6)81(34.0)
降脂药治疗[例(%)]322(13.8)268(12.8)54(22.7)<0.001
糖尿病[例(%)]201(8.6)145(6.9)56(23.5)<0.001
高血压[例(%)]594(25.5)490(23.4)104(43.7)<0.001
睡眠时长(,小时)7.10±1.407.10±1.387.10±1.520.989
教育水平[例(%)]0.938
大学及以上1 611(69.1)1 447(69.1)164(68.9)
高级中等教育158(6.8)143(6.8)15(6.3)
低级中等教育564(24.2)505(24.1)59(24.8)
汤森剥夺指数[例(%)]0.160
Q1573(24.6)524(25.0)49(20.6)
Q2612(26.2)556(26.5)56(23.5)
Q3604(25.9)537(25.6)67(28.2)
Q4544(23.3)478(22.8)66(27.7)
抑郁水平[例(%)]112(4.8)98(4.7)14(5.9)0.507
饮食评分[例(%)]477(20.4)427(20.4)50(21.0)0.887
癌症治疗[例(%)]0.116
未治疗270(11.6)236(11.3)34(14.3)
单一治疗1 375(58.9)1 229(58.7)146(61.3)
多重治疗688(29.5)630(30.1)58(24.4)
), ArticleFig(id=1324044711354303270, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=CN, label=表1, caption=

研究对象基线特征

, figureFileSmall=null, figureFileBig=null, tableContent=
变量总体(n=2 333)未发生ASCVD(n=2 095)发生ASCVD(n=238)P值
VLDL-C[M(P25,P75)]0.72(0.56,0.90)0.72(0.55,0.90)0.76(0.62,0.94)0.028
VLDL-CE[M(P25,P75)]0.44(0.34,0.54)0.43(0.34,0.54)0.45(0.37,0.55)0.065
VLDL-FC[M(P25,P75)]0.28(0.22,0.36)0.28(0.21,0.36)0.30(0.24,0.38)0.008
年龄(,岁)59.7±6.559.4±6.662.2±5.6<0.001
BMI(,kg/m2)27.2±4.927.0±4.828.9±5.5<0.001
吸烟[例(%)]
从不吸烟1 315(56.4)1 211(57.8)104(43.7)<0.001
既往吸烟831(35.6)730(34.8)101(42.4)
当前吸烟187(8.0)154(7.4)33(13.9)
饮酒[例(%)]0.227
从不饮酒123(5.3)106(5.1)17(7.1)
既往饮酒99(4.2)86(4.1)13(5.5)
当前饮酒2 111(90.5)1 903(90.8)208(87.4)
体力活动水平[例(%)]0.144
低430(18.4)377(18.0)53(22.3)
中993(42.6)889(42.4)104(43.7)
高910(39.0)829(39.6)81(34.0)
降脂药治疗[例(%)]322(13.8)268(12.8)54(22.7)<0.001
糖尿病[例(%)]201(8.6)145(6.9)56(23.5)<0.001
高血压[例(%)]594(25.5)490(23.4)104(43.7)<0.001
睡眠时长(,小时)7.10±1.407.10±1.387.10±1.520.989
教育水平[例(%)]0.938
大学及以上1 611(69.1)1 447(69.1)164(68.9)
高级中等教育158(6.8)143(6.8)15(6.3)
低级中等教育564(24.2)505(24.1)59(24.8)
汤森剥夺指数[例(%)]0.160
Q1573(24.6)524(25.0)49(20.6)
Q2612(26.2)556(26.5)56(23.5)
Q3604(25.9)537(25.6)67(28.2)
Q4544(23.3)478(22.8)66(27.7)
抑郁水平[例(%)]112(4.8)98(4.7)14(5.9)0.507
饮食评分[例(%)]477(20.4)427(20.4)50(21.0)0.887
癌症治疗[例(%)]0.116
未治疗270(11.6)236(11.3)34(14.3)
单一治疗1 375(58.9)1 229(58.7)146(61.3)
多重治疗688(29.5)630(30.1)58(24.4)
), ArticleFig(id=1324044711492715303, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=EN, label=Table 2, caption=

Distribution of VLDL-C and its components across different treatment groups

, figureFileSmall=null, figureFileBig=null, tableContent=
治疗组VLDL-CVLDL-CEVLDL-FC
未治疗0.75(0.62,0.93)0.45(0.37,0.55)0.29(0.24,0.37)
单一治疗0.73(0.57,0.90)0.44(0.34,0.54)0.29(0.22,0.36)
多重治疗0.70(0.53,0.90)a0.42(0.32,0.54)ab0.28(0.20,0.36)
χ2值8.60112.2614.538
P值0.0140.0020.103
), ArticleFig(id=1324044711614350120, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=CN, label=表2, caption=

VLDL-C及其组分在不同治疗组间的分布及比较

, figureFileSmall=null, figureFileBig=null, tableContent=
治疗组VLDL-CVLDL-CEVLDL-FC
未治疗0.75(0.62,0.93)0.45(0.37,0.55)0.29(0.24,0.37)
单一治疗0.73(0.57,0.90)0.44(0.34,0.54)0.29(0.22,0.36)
多重治疗0.70(0.53,0.90)a0.42(0.32,0.54)ab0.28(0.20,0.36)
χ2值8.60112.2614.538
P值0.0140.0020.103
), ArticleFig(id=1324044711731790633, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=EN, label=Table 3, caption=

Stratified analysis of the association between VLDL-C levels and ASCVD risk

, figureFileSmall=null, figureFileBig=null, tableContent=
分组发病例数(%)HR(95%CI)交互P值
每增加1标准差Q1Q2Q3Q4
年龄,岁0.143
<6062(6.3)1.19(0.94~1.49)参考1.35(0.68~2.71)0.74(0.32~1.72)1.33(0.63~2.78)
≥60176(13.0)1.12(0.96~1.30)参考1.49(0.93~2.37)1.61(1.02~2.55)1.74(1.10~2.75)
BMI,kg/m20.248
<2566(7.6)1.03(0.80~1.32)参考1.40(0.74~2.66)1.18(0.59~2.37)1.33(0.64~2.73)
≥25172(11.8)1.14(0.99~1.33)参考1.54(0.95~2.51)1.46(0.89~2.39)1.74(1.07~2.81)
吸烟0.826
从不吸烟104(7.9)1.21(1.00~1.45)参考1.79(0.98~3.27)1.68(0.90~3.12)1.92(1.05~3.51)
有吸烟史134(13.2)1.04(0.88~1.24)参考1.33(0.80~2.20)1.19(0.71~1.99)1.39(0.83~2.31)
糖尿病0.899
否182(8.5)1.13(0.97~1.30)参考1.59(1.01~2.53)1.52(0.96~2.41)1.63(1.03~2.57)
是56(27.9)1.09(0.85~1.41)参考1.14(0.56~2.33)0.86(0.37~1.99)1.59(0.74~3.42)
高血压0.246
否134(7.7)1.06(0.89~1.25)参考1.70(1.01~2.91)1.09(0.62~1.91)1.38(0.81~2.35)
是104(17.5)1.18(0.98~1.42)参考1.26(0.71~2.24)1.84(1.04~3.26)1.89(1.06~3.37)
癌症治疗0.006
未治疗34(12.6)0.72(0.46~1.12)参考1.57(0.55~4.52)1.19(0.40~3.58)0.51(0.13~2.04)
单一治疗146(10.6)1.13(0.96~1.32)参考1.24(0.75~2.03)1.12(0.68~1.85)1.56(0.97~2.52)
多重治疗58(8.4)1.28(1.01~1.65)参考1.94(0.87~4.31)1.77(0.75~4.16)2.28(1.04~4.98)
), ArticleFig(id=1324044711886979882, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=CN, label=表3, caption=

VLDL-C水平与ASCVD发生风险分层分析结果

, figureFileSmall=null, figureFileBig=null, tableContent=
分组发病例数(%)HR(95%CI)交互P值
每增加1标准差Q1Q2Q3Q4
年龄,岁0.143
<6062(6.3)1.19(0.94~1.49)参考1.35(0.68~2.71)0.74(0.32~1.72)1.33(0.63~2.78)
≥60176(13.0)1.12(0.96~1.30)参考1.49(0.93~2.37)1.61(1.02~2.55)1.74(1.10~2.75)
BMI,kg/m20.248
<2566(7.6)1.03(0.80~1.32)参考1.40(0.74~2.66)1.18(0.59~2.37)1.33(0.64~2.73)
≥25172(11.8)1.14(0.99~1.33)参考1.54(0.95~2.51)1.46(0.89~2.39)1.74(1.07~2.81)
吸烟0.826
从不吸烟104(7.9)1.21(1.00~1.45)参考1.79(0.98~3.27)1.68(0.90~3.12)1.92(1.05~3.51)
有吸烟史134(13.2)1.04(0.88~1.24)参考1.33(0.80~2.20)1.19(0.71~1.99)1.39(0.83~2.31)
糖尿病0.899
否182(8.5)1.13(0.97~1.30)参考1.59(1.01~2.53)1.52(0.96~2.41)1.63(1.03~2.57)
是56(27.9)1.09(0.85~1.41)参考1.14(0.56~2.33)0.86(0.37~1.99)1.59(0.74~3.42)
高血压0.246
否134(7.7)1.06(0.89~1.25)参考1.70(1.01~2.91)1.09(0.62~1.91)1.38(0.81~2.35)
是104(17.5)1.18(0.98~1.42)参考1.26(0.71~2.24)1.84(1.04~3.26)1.89(1.06~3.37)
癌症治疗0.006
未治疗34(12.6)0.72(0.46~1.12)参考1.57(0.55~4.52)1.19(0.40~3.58)0.51(0.13~2.04)
单一治疗146(10.6)1.13(0.96~1.32)参考1.24(0.75~2.03)1.12(0.68~1.85)1.56(0.97~2.52)
多重治疗58(8.4)1.28(1.01~1.65)参考1.94(0.87~4.31)1.77(0.75~4.16)2.28(1.04~4.98)
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Multivariable Cox regression analysis of VLDL-C and its components with ASCVD after excluding participants in sensitivity analysis

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指标发病例数(%)排除随访2年内发病者HR(95%CI)发病例数(%)排除降脂药治疗者HR(95%CI)
VLDL-C
每增加1标准差1.14(1.00~1.30)1.13(0.98~1.31)
分类变量
Q140(6.9)参考19(4.4)参考
Q261(10.5)1.51(1.01~2.26)52(10.5)2.03(1.19~3.44)
Q353(9.2)1.33(0.88~2.02)49(9.3)1.74(1.02~2.97)
Q465(11.2)1.64(1.10~2.46)64(11.6)1.99(1.18~3.34)
VLDL-CE
每增加1标准差1.14(1.00~1.29)1.14(0.98~1.31)
分类变量
Q144(7.6)参考21(5.0)参考
Q260(10.3)1.37(0.93~2.03)47(9.6)1.54(0.92~2.60)
Q353(9.2)1.33(0.88~2.01)54(10.0)1.65(0.99~2.74)
Q462(10.7)1.52(1.02~2.27)62(11.2)1.72(1.04~2.84)
VLDL-FC
每增加1标准差1.12(0.99~1.27)1.10(0.96~1.27)
分类变量
Q137(6.4)参考20(4.4)参考
Q257(9.8)1.54(1.01~2.35)50(10.0)1.88(1.11~3.18)
Q359(10.2)1.46(0.96~2.20)54(10.4)1.85(1.10~3.11)
Q466(11.4)1.61(1.07~2.43)60(11.2)1.85(1.10~3.09)
), ArticleFig(id=1324044712134443820, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324044698410681060, language=CN, label=表4, caption=

敏感性分析中VLDL-C及其组分与ASCVD的多因素Cox回归分析结果

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指标发病例数(%)排除随访2年内发病者HR(95%CI)发病例数(%)排除降脂药治疗者HR(95%CI)
VLDL-C
每增加1标准差1.14(1.00~1.30)1.13(0.98~1.31)
分类变量
Q140(6.9)参考19(4.4)参考
Q261(10.5)1.51(1.01~2.26)52(10.5)2.03(1.19~3.44)
Q353(9.2)1.33(0.88~2.02)49(9.3)1.74(1.02~2.97)
Q465(11.2)1.64(1.10~2.46)64(11.6)1.99(1.18~3.34)
VLDL-CE
每增加1标准差1.14(1.00~1.29)1.14(0.98~1.31)
分类变量
Q144(7.6)参考21(5.0)参考
Q260(10.3)1.37(0.93~2.03)47(9.6)1.54(0.92~2.60)
Q353(9.2)1.33(0.88~2.01)54(10.0)1.65(0.99~2.74)
Q462(10.7)1.52(1.02~2.27)62(11.2)1.72(1.04~2.84)
VLDL-FC
每增加1标准差1.12(0.99~1.27)1.10(0.96~1.27)
分类变量
Q137(6.4)参考20(4.4)参考
Q257(9.8)1.54(1.01~2.35)50(10.0)1.88(1.11~3.18)
Q359(10.2)1.46(0.96~2.20)54(10.4)1.85(1.10~3.11)
Q466(11.4)1.61(1.07~2.43)60(11.2)1.85(1.10~3.09)
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长期乳腺癌患病人群极低密度脂蛋白胆固醇与动脉粥样硬化性心血管疾病的关联研究
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赵彦辰 1 , 李芸菲 1 , 王佳鹤 1 , 孙希子 1 , 武志远 2 , 郭秀花 1 , 陶丽新 1
现代预防医学 | 临床与预防 2026,53(8): 1530-1536
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现代预防医学 |临床与预防 2026 , 53 (8) : 1530 -1536
长期乳腺癌患病人群极低密度脂蛋白胆固醇与动脉粥样硬化性心血管疾病的关联研究
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赵彦辰1 , 李芸菲1, 王佳鹤1, 孙希子1, 武志远2, 郭秀花1, 陶丽新1
作者信息
  • 1.首都医科大学公共卫生学院,流行病与卫生统计学系,北京环境衰老重点实验室,北京 100069
  • 2.哈佛大学陈曾熙公共卫生学院
通讯作者:
陶丽新,E-mail:
作者简介:

赵彦辰(2000—),女,硕士在读,研究方向:卫生统计学,E-mail:

Association of very-low-density lipoprotein cholesterol with atherosclerotic cardiovascular disease in long term breast cancer survivors
Yan-chen ZHAO1 , Yun-fei LI1, Jia-he WANG1, Xi-zi SUN1, Zhi-yuan WU2, Xiu-hua GUO1, Li-xin TAO1
Affiliations
  • Beijing Key Laboratory of Environment and Aging, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China
出版时间: 2026-04-25 doi: 10.20043/j.cnki.MPM.202510098
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目的

探讨长期乳腺癌患病人群中极低密度脂蛋白胆固醇(VLDL-C)及其组分与动脉粥样硬化性心血管疾病(ASCVD)风险的关联。

方法

基于英国生物银行前瞻性队列,纳入基线2006—2010年乳腺癌病程≥3年的女性患者2 333例,随访时间截止2023年12月31日。采用Cox比例风险回归模型研究VLDL-C及其组分胆固醇酯(VLDL-CE)和游离胆固醇(VLDL-FC)与ASCVD风险的关联性。

结果

在中位随访13.9年期间,共238名研究对象发生了ASCVD。与最低四分位数组相比,VLDL-C最高四分位数组ASCVD风险增加61%(HR=1.61,95%CI:1.09~2.37)。VLDL-CE和VLDL-FC显示类似趋势,其中VLDL-FC与ASCVD的关联效应值更高。分层分析结果显示,在接受癌症治疗的研究对象中VLDL-C与ASCVD风险的关联更为显著。

结论

在长期乳腺癌患病人群中,VLDL-C及其组分与ASCVD风险呈正向关联,提示VLDL-C可作为该人群心血管风险评估的重要指标。

乳腺癌  /  动脉粥样硬化性心血管疾病  /  极低密度脂蛋白  /  英国生物银行
Objective

To investigate the association between very-low-density lipoprotein cholesterol (VLDL-C) and its components with atherosclerotic cardiovascular disease (ASCVD) risk in long-term breast cancer survivors.

Methods

This study included 2 333 female participants with a history of breast cancer diagnosed at least 3 years before baseline in the UK Biobank. Cox proportional hazards models were used to assess the associations of VLDL-C and its components, cholesteryl ester (VLDL-CE) and free cholesterol (VLDL-FC), with ASCVD incidence.

Results

During a median follow-up of 13.9 years, 238 participants developed ASCVD. Compared with the lowest quartile, participants in the highest quartile of VLDL-C had a 61% higher risk of ASCVD (HR=1.61, 95%CI: 1.09-2.37). Similar associations were observed for VLDL-CE and VLDL-FC, with a stronger effect for VLDL-FC. Subgroup analyses revealed that the association between VLDL-C and ASCVD was more significant among participants receiving cancer treatment.

Conclusion

Among long-term breast cancer survivors, elevated VLDL-C and its components are positively associated with ASCVD risk, suggesting their potential as biomarkers for cardiovascular risk assessment in this population.

Breast cancer  /  Atherosclerotic cardiovascular disease  /  Very-low-density lipoprotein  /  UK Biobank
赵彦辰, 李芸菲, 王佳鹤, 孙希子, 武志远, 郭秀花, 陶丽新. 长期乳腺癌患病人群极低密度脂蛋白胆固醇与动脉粥样硬化性心血管疾病的关联研究. 现代预防医学, 2026 , 53 (8) : 1530 -1536 . DOI: 10.20043/j.cnki.MPM.202510098
Yan-chen ZHAO, Yun-fei LI, Jia-he WANG, Xi-zi SUN, Zhi-yuan WU, Xiu-hua GUO, Li-xin TAO. Association of very-low-density lipoprotein cholesterol with atherosclerotic cardiovascular disease in long term breast cancer survivors[J]. Modern Preventive Medicine, 2026 , 53 (8) : 1530 -1536 . DOI: 10.20043/j.cnki.MPM.202510098
乳腺癌是女性最常见的恶性肿瘤,发病率持续上升[1]。最新全球疾病负担研究显示2022年新发病例约230万例[2]。随着筛查与治疗水平的不断进步,患者总体生存率显著提高,长期复发风险降低[3],乳腺癌逐渐成为可长期管理的疾病[4]。长期生存的乳腺癌患者面临多种非肿瘤相关并发症,其健康管理和生活质量已成为临床关注重点。动脉粥样硬化性心血管疾病(atherosclerotic cardiovascular disease,ASCVD)是长期乳腺癌患病人群中非肿瘤相关的主要死因之一[5-6]。乳腺癌与ASCVD可能共享多种危险因素和病理生理机制,包括肥胖及血脂异常等[7-9]。
研究表明以甘油三酯和富含甘油三酯的脂蛋白(triglyceride-rich lipoprotein,TRL)升高为特征的血脂异常,与ASCVD发生密切相关[10-11]。极低密度脂蛋白胆固醇(very-low-density lipoprotein cholesterol,VLDL-C)作为TRL-C的主要组成部分,被认为是潜在的重要心血管风险因子[12-13]。尽管VLDL-C在一般人群中已被证实与ASCVD显著相关[14-15],但在乳腺癌患者中相关研究仍较少。此外VLDL-C可进一步分为胆固醇酯(cholesterol ester,VLDL-CE)和游离胆固醇(free cholesterol,VLDL-FC),不同组分可能在动脉粥样硬化的发生和进展中发挥不同作用[16-17],但在乳腺癌患者中的作用尚不清楚。因此,本研究旨在病程超过三年的长期乳腺癌患病人群中探讨VLDL-C及其组分与ASCVD的关联,为该人群的心血管风险评估与管理提供新的证据支持。
本研究基于英国生物银行前瞻性队列开展分析,该队列于2006—2010年间在英国招募超50万名年龄在40至69岁的参与者,并通过住院记录和国家健康登记获取结局信息。本研究的纳入标准为:(1)基线时乳腺癌病程≥3年;(2)性别为女性;排除标准为:(1)基线时已确诊ASCVD;(2)血脂信息或协变量信息不完整。纳入排除流程图见图1,最终纳入2 333名符合条件的研究对象。英国生物银行的研究获得西北多中心研究伦理委员会批准,所有研究对象均签署书面知情同意书。本研究获得英国生物银行审查和批准(项目ID:88589)。
ASCVD的诊断依据国际疾病分类(ICD)代码和手术编码(OPCS)确定,定义为急性冠状动脉综合征、心肌梗死史、稳定或不稳定心绞痛、冠状动脉或其他血管重建术、缺血性卒中、短暂性脑缺血发作和周围血管病变[18]。随访起始时间为基线2006—2010年,随访截至首次发生ASCVD、失访或2023年12月31日,以先发生者为准。
英国生物银行采用核磁共振光谱技术对参与者的非空腹血浆样本进行定量测定。样本随机分配至96孔板中,每块孔板最多包含94个参与者样本,其余两个孔用于内部对照以评估一致性。在数据质量控制和预处理过程中,剔除技术性变异及超过±4标准差的极端值。对数据进行log1p转换以近似正态分布,随后进行标准化处理。
本研究纳入协变量包括人口学特征、社会经济因素、生活方式因素、人体测量指标及基线健康状况。人口学特征与社会经济因素涵盖年龄、性别、受教育程度及汤森剥夺指数,其中教育水平分为三类:大学及以上、高级中等教育及低级中等教育[19],汤森剥夺指数按四分位数分类[20]。生活方式因素包括饮酒(从不、既往及当前饮酒)、吸烟(从不、既往及当前吸烟)、体力活动水平、睡眠时长及饮食评分。体力活动水平依据国际体力活动问卷评估[21],分为低、中、高三类。睡眠时长根据问卷获得。饮食评分通过问卷收集,并依据美国心脏协会推荐的健康饮食模式评估,划分为健康饮食或非健康饮食[22]。人体测量指标通过标准化体格检查获取,并据此计算身体质量指数(body mass index,BMI)。基线健康状况包括高血压、糖尿病、降脂药治疗及癌症治疗,其中高血压和糖尿病通过自报病史、用药记录及ICD综合确定;降脂药治疗通过调查问卷和自报药物记录获取;癌症治疗情况根据OPCS记录及用药记录获取。心理社会因素包括抑郁水平,使用PHQ-4量表进行评估[23]。
研究对象的基线特征以均值±标准差或中位数(25百分位数,75百分位数)表示连续变量,以例数(百分比)表示分类变量。正态分布变量采用ANOVA进行比较,偏态变量则使用Kruskal-Wallis检验分析。分类变量比较采用Pearson卡方检验或Fisher确切检验。根据研究对象是否发生ASCVD分组,比较基线特征。根据癌症治疗的不同分组,比较VLDL-C及其组分的分布及区别。构建Cox比例风险回归模型分析VLDL-C及其组分对ASCVD发病风险的独立影响,估算风险比(hazard ratio,HR)及95%置信区间(confidence interval,CI)。模型1为基础模型,调整年龄、高血压、糖尿病、癌症治疗及抑郁水平;模型2在模型1基础上进一步调整教育水平、汤森剥夺指数、吸烟、饮酒、睡眠时长、体力活动水平、饮食评分及BMI。考虑潜在交互效应,按基线年龄、BMI、吸烟、糖尿病、高血压及癌症治疗进行分层分析。分别排除随访前两年发生ASCVD的研究对象和基线进行降脂药治疗的研究对象,进行敏感性分析。数据分析使用R 4.3.0软件进行,统计检验为双侧检验,检验水准α=0.05。
本研究共纳入2 333名研究对象,在中位随访时间13.9年中,238名研究对象发生ASCVD,发病率10.2%。与未发生ASCVD组相比,发生ASCVD组研究对象年龄更大,BMI更高,更可能吸烟,降脂药治疗比例更高,且糖尿病和高血压的患病率更高(表1)。
结果显示,VLDL-C(χ2=8.601,P=0.014)和VLDL-CE(χ2=12.261,P=0.002)在不同治疗组间的分布差异具有统计学意义(表2)。其中VLDL-CE的多重治疗组相较于未治疗组和单一治疗组的差异均有统计学意义。
以ASCVD发生作为因变量,调整多种协变量后进行多因素Cox比例风险回归模型分析,结果见图2。与最低四分位数组(Q1)相比,VLDL-C最高四分位数组(Q4)ASCVD发病风险增加58%(HR=1.58,95%CI:1.07~2.32)。VLDL-CE的Q4组风险增加45%(HR=1.45,95%CI:1.00~2.12)。VLDL-FC的Q4组风险增加51%(HR=1.51,95% CI:1.03~2.25)。
分层分析评估了VLDL-C与ASCVD风险在不同特征亚组中的关联,见表3。结果显示VLDL-C与癌症治疗存在交互作用(交互P值=0.006)。在接受多重癌症治疗的研究对象中,VLDL-C每增加1个标准差与ASCVD风险发病风险增加28%(HR=1.28,95%CI:1.01~1.65)。
排除随访2年内发生ASCVD的研究对象后,VLDL-C及其组分与ASCVD风险的关联基本保持一致(表4)。与Q1组相比,VLDL-C的Q4组风险增加64%(HR=1.64,95%CI:1.10~2.46)。在排除基线进行降脂药治疗的研究对象后,VLDL-C中Q4组风险增加99%(HR=1.99,95%CI:1.18~3.34)。VLDL-CE与VLDL-FC同样显示类似趋势(表4)。
本研究基于英国生物银行的前瞻性队列数据,评估了长期乳腺癌患病人群中VLDL-C及其组分水平与ASCVD风险的关系。结果显示,VLDL-C水平升高与ASCVD风险呈正相关,VLDL-CE和VLDL-FC均呈正向关联,二者差异较小。此外这一关联在有乳腺癌多重治疗史的患者中更为显著。
既往研究表明,VLDL-C是一种简便而有效的心血管代谢危险因素和疾病风险评估指标。一项基于一般人群的前瞻性观察研究发现,VLDL-C与新发ASCVD事件风险显著相关[24],这一结果与本研究在长期乳腺癌患病人群中观察到的风险增强效应基本一致,为该关联在特殊人群中的验证提供了新的证据。此外,既往研究提示部分乳腺癌治疗方式可能增加心血管不良结局风险,可能与脂质代谢紊乱或血管功能损害等因素有关[25]。本研究结果与之相符,观察到接受癌症多重治疗的患者中VLDL-C与ASCVD风险的关联更为显著。
既往机制研究可为本研究中观察到的VLDL-C与ASCVD风险关联提供了依据。VLDL及其残余颗粒能够穿透受损血管内皮并在内膜下滞留,促进粥样斑块形成与进展[26]。乳腺癌治疗可通过多种途径放大VLDL-C的不良心血管效应:内分泌及手术治疗会影响雌激素水平,诱发血脂异常与胰岛素抵抗[27];化疗会引起线粒体功能障碍与氧化应激[28];放疗则会直接损伤血管内皮,促进局部慢性炎症与内皮功能障碍[29]。因此接受多重治疗的患者中,心血管毒性作用可能相互叠加,使VLDL-C的不良动脉粥样硬化效应进一步放大。
本研究的优势在于依托长期随访的前瞻性队列,在充分控制混杂因素后验证了VLDL-C及其组分与ASCVD风险关联的稳健性。同时研究聚焦于长期乳腺癌患病人群,为该特殊人群的心血管风险管理提供了新的证据,并为既往主要基于一般人群的研究提供了有益补充。然而,本研究仍存在一定局限性。首先,作为观察性研究,难以直接推断因果关系;其次,部分分组的ASCVD事件数少于30例,可能会影响结果的稳定性;最后,由于研究对象主要为英国白人,研究结果在其他族群中的外推性尚需验证。
综上所述,本研究表明在长期乳腺癌患病人群中,VLDL-C升高与ASCVD风险显著相关,且在接受乳腺癌多重治疗的患者中关联更强。这一发现强调了在乳腺癌长期管理中加强血脂监测与干预的重要性,并为未来探讨VLDL-C在肿瘤相关心血管疾病预防中的作用提供了依据。尽管控制VLDL-C水平可能有助于降低ASCVD风险,但相关干预措施的有效性与可行性仍需进一步研究验证。
  • 北京市自然科学基金(7262160)
  • 首都卫生发展科研专项项目(2024-1G-4033)
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doi: 10.20043/j.cnki.MPM.202510098
  • 接收时间:2025-10-13
  • 首发时间:2026-11-02
  • 出版时间:2026-04-25
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  • 收稿日期:2025-10-13
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北京市自然科学基金(7262160)
首都卫生发展科研专项项目(2024-1G-4033)
作者信息
    1.首都医科大学公共卫生学院,流行病与卫生统计学系,北京环境衰老重点实验室,北京 100069
    2.哈佛大学陈曾熙公共卫生学院

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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