• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

体重指数与高敏C反应蛋白联合与绝经后乳腺癌风险的关联:一项前瞻性队列研究。

Association between body mass index combined with high-sensitivity C-reactive protein and the risk of postmenopausal breast cancer: A prospective cohort study.

作者信息

Jiang Runxue, Shen Jianglun, Wang Xia, Chen Shuohua, Wu Shouling, Cai Haifeng

机构信息

Department of Oncology Surgery, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China.

Department of Gynaecology, Tangshan Hongci Hospital, Tangshan, Hebei 063000, P.R. China.

出版信息

Mol Clin Oncol. 2024 Jul 12;21(3):64. doi: 10.3892/mco.2024.2762. eCollection 2024 Sep.

DOI:10.3892/mco.2024.2762
PMID:39071977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11273258/
Abstract

The present study aimed to assess the risk of postmenopausal breast cancer in women based on a combination of body mass index (BMI) and high-sensitivity C-reactive protein (hs-CRP) levels. A total of 20,400 participants were investigated as part of the 'Kailuan Study' clinical trial. Participants were classified into four groups based on BMI (BMI ≥24 or <24 kg/m) and hs-CRP level (hs-CRP ≥3 or <3 mg/l). Cox proportional hazards models were used to evaluate the association between the combination of BMI and hs-CRP and the risk of postmenopausal breast cancer. A total of 19,540 participants met the inclusion criteria. The median follow-up time was 14.97 years, with a cumulative follow-up period of 283,599.43 person-years. Among the participants, 269 individuals were diagnosed with postmenopausal breast cancer. Individuals with a high BMI (BMI ≥24 kg/m) and a high hs-CRP level (hs-CRP ≥3 mg/) had a greater risk of postmenopausal breast cancer compared with individuals with a low BMI (BMI <24 kg/m) and a low hs-CRP level (<3 mg/l) (hazard ratio, 1.75; 95% confidence interval, 1.25-2.47). The sensitivity analysis showed findings consistent with the primary results. In conclusion, the combination of high BMI and high hs-CRP level is associated with an increased risk of postmenopausal breast cancer. The present study is part of the Kailuan Study. Trial registration number: ChiCTRTNCR11001489 (Chinese Clinical Trial Registry, https://www.chictr.org.cn/showproj.html?proj=8050). Date of registration: 19/07/2015.

摘要

本研究旨在基于体重指数(BMI)和高敏C反应蛋白(hs-CRP)水平的组合评估绝经后女性患乳腺癌的风险。作为“开滦研究”临床试验的一部分,共对20400名参与者进行了调查。参与者根据BMI(BMI≥24或<24kg/m²)和hs-CRP水平(hs-CRP≥3或<3mg/l)分为四组。采用Cox比例风险模型评估BMI和hs-CRP组合与绝经后乳腺癌风险之间的关联。共有19540名参与者符合纳入标准。中位随访时间为14.97年,累积随访期为283599.43人年。在参与者中,有269人被诊断为绝经后乳腺癌。与低BMI(BMI<24kg/m²)和低hs-CRP水平(<3mg/l)的个体相比,高BMI(BMI≥24kg/m²)和高hs-CRP水平(hs-CRP≥3mg/l)的个体患绝经后乳腺癌的风险更高(风险比,1.75;95%置信区间,1.25-2.47)。敏感性分析结果与主要结果一致。总之,高BMI和高hs-CRP水平的组合与绝经后乳腺癌风险增加相关。本研究是开滦研究的一部分。试验注册号:ChiCTRTNCR11001489(中国临床试验注册中心,https://www.chictr.org.cn/showproj.html?proj=8050)。注册日期:2015年7月19日。

相似文献

1
Association between body mass index combined with high-sensitivity C-reactive protein and the risk of postmenopausal breast cancer: A prospective cohort study.体重指数与高敏C反应蛋白联合与绝经后乳腺癌风险的关联:一项前瞻性队列研究。
Mol Clin Oncol. 2024 Jul 12;21(3):64. doi: 10.3892/mco.2024.2762. eCollection 2024 Sep.
2
Association between metabolic syndrome, C-reactive protein, and the risk of primary liver cancer: a large prospective study.代谢综合征、C 反应蛋白与原发性肝癌风险的关系:一项大型前瞻性研究。
BMC Cancer. 2022 Aug 4;22(1):853. doi: 10.1186/s12885-022-09939-w.
3
Metabolic syndrome, high-sensitivity C-reactive protein levels and the risk of new-onset atrial fibrillation: Results from the Kailuan Study.代谢综合征、高敏 C 反应蛋白水平与新发心房颤动风险:来自开滦研究的结果。
Nutr Metab Cardiovasc Dis. 2021 Jan 4;31(1):102-109. doi: 10.1016/j.numecd.2020.06.026. Epub 2020 Jul 1.
4
A prospective follow-up study of the relationship between high-sensitivity C-reactive protein and primary liver cancer.一项关于高敏 C 反应蛋白与原发性肝癌关系的前瞻性随访研究。
BMC Cancer. 2020 Nov 30;20(1):1168. doi: 10.1186/s12885-020-07665-9.
5
Cumulative Exposure to High-Sensitivity C-Reactive Protein Predicts the Risk of Cardiovascular Disease.累积高敏 C 反应蛋白暴露预测心血管疾病风险。
J Am Heart Assoc. 2017 Oct 24;6(10):e005610. doi: 10.1161/JAHA.117.005610.
6
Relationship between high-sensitivity C reactive protein and the risk of gallstone disease: results from the Kailuan cohort study.高敏 C 反应蛋白与胆囊疾病风险的关系:来自开滦队列研究的结果。
BMJ Open. 2020 Sep 22;10(9):e035880. doi: 10.1136/bmjopen-2019-035880.
7
Pre-diagnostic high-sensitive C-reactive protein and breast cancer risk, recurrence, and survival.诊断前高敏C反应蛋白与乳腺癌风险、复发及生存
Breast Cancer Res Treat. 2016 Jan;155(2):345-54. doi: 10.1007/s10549-015-3671-1. Epub 2016 Jan 6.
8
Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study.中国北方人群理想心血管健康指标与血浆高敏C反应蛋白水平的相关性:一项四年随访研究
Int J Gen Med. 2020 Sep 17;13:617-625. doi: 10.2147/IJGM.S266602. eCollection 2020.
9
BMI, high-sensitivity C-reactive protein and the conversion from metabolically healthy to unhealthy phenotype in Chinese adults: a cohort study.体重指数、高敏 C 反应蛋白与中国成年人代谢健康向不健康表型的转化:一项队列研究。
Public Health Nutr. 2021 Sep;24(13):4124-4131. doi: 10.1017/S136898002000289X. Epub 2020 Aug 25.
10
Serum levels of high sensitive C reactive protein in healthy adults from southern Brazil.巴西南部健康成年人血清高敏 C 反应蛋白水平。
J Clin Lab Anal. 2013 May;27(3):207-10. doi: 10.1002/jcla.21585. Epub 2013 Feb 20.

本文引用的文献

1
Modifiable risk factors in women at high risk of breast cancer: a systematic review.高乳腺癌风险女性的可改变风险因素:系统评价。
Breast Cancer Res. 2023 Apr 24;25(1):45. doi: 10.1186/s13058-023-01636-1.
2
Hepatitis B virus infection and the risk of gastrointestinal cancers among Chinese population: A prospective cohort study.乙型肝炎病毒感染与中国人群胃肠道癌症风险:一项前瞻性队列研究。
Int J Cancer. 2022 Mar 15;150(6):1018-1028. doi: 10.1002/ijc.33891. Epub 2021 Dec 14.
3
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity.
关于肥胖的系统文献综述:了解肥胖的成因与后果,并回顾用于预测肥胖的各种机器学习方法。
Comput Biol Med. 2021 Sep;136:104754. doi: 10.1016/j.compbiomed.2021.104754. Epub 2021 Aug 16.
4
A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers.一项仅针对病例的研究,旨在确定BRCA1/BRCA2突变携带者患乳腺癌风险的基因修饰因子。
Nat Commun. 2021 Feb 17;12(1):1078. doi: 10.1038/s41467-020-20496-3.
5
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020:全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
6
Obesity and breast cancer risk for pre- and postmenopausal women among over 6 million Korean women.超过 600 万韩国女性中,肥胖与绝经前和绝经后女性乳腺癌风险的关系。
Breast Cancer Res Treat. 2021 Jan;185(2):495-506. doi: 10.1007/s10549-020-05952-4. Epub 2020 Oct 3.
7
High-sensitivity C-reactive protein, hemoglobin A1c and breast cancer risk: a nested case-control study from Alberta's Tomorrow Project cohort.高敏 C 反应蛋白、糖化血红蛋白 A1c 与乳腺癌风险:来自艾伯塔省明日计划队列的巢式病例对照研究。
Cancer Causes Control. 2020 Dec;31(12):1057-1068. doi: 10.1007/s10552-020-01329-6. Epub 2020 Sep 21.
8
The Association between Obesity and Premenopausal Breast Cancer According to Intrinsic Subtypes - a Systematic Review.根据内在亚型分析肥胖与绝经前乳腺癌之间的关联——一项系统综述
Geburtshilfe Frauenheilkd. 2020 Jun;80(6):601-610. doi: 10.1055/a-1170-5004. Epub 2020 Jun 17.
9
Association of Nongenetic Factors With Breast Cancer Risk in Genetically Predisposed Groups of Women in the UK Biobank Cohort.英国生物库队列中遗传易感性女性群体中非遗传因素与乳腺癌风险的相关性研究。
JAMA Netw Open. 2020 Apr 1;3(4):e203760. doi: 10.1001/jamanetworkopen.2020.3760.
10
Menstrual and reproductive characteristics and breast cancer risk by hormone receptor status and ethnicity: The Breast Cancer Etiology in Minorities study.激素受体状态和种族对月经和生殖特征及乳腺癌风险的影响:少数民族乳腺癌病因研究。
Int J Cancer. 2020 Oct 1;147(7):1808-1822. doi: 10.1002/ijc.32923. Epub 2020 Feb 29.