Association of C‐reactive protein with breast cancer is stronger for the potentially obese women: A Chinese case‐control study and meta‐analysis of 19 studies
Association of C‐reactive protein with breast cancer is stronger for the potentially obese women: A Chinese case‐control study and meta‐analysis of 19 studies
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对于潜在肥胖女性来说,C反应蛋白与乳腺癌的关联性更强:一项中国病例对照研究和 19 项研究的荟萃分析
DOI:
10.1111/jebm.12455
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发表时间:
2021-10
影响因子:
--
通讯作者:
Jiayuan Li
中科院分区:
文献类型:
--
作者:
Xiaofan Zhang;Mengyuan Wang;Yu Hao;Bin Xu;Lulu Tian;Yunqi Miao;Long Cheng;Jiayuan Li
Dear Editor, Breast cancer (BC) is the commonest cancerworldwide,with anestimated 2.26 million newly diagnosed cases in 2020 according to the International Agency for Research on CancerWorld Cancer Reports.1 With the in-depth study of BC, the role of chronic inflammation and intricate association with obesity for the risk of BC remains to be studied. However, a clear role of inflammation is less well defined.2 Creactive protein (CRP) is a sensitive and nonspecific marker of chronic inflammation. Themeta-analysis examined 15 cohort and case-control studies in 5286 cases,3 finding that risk increased by 16% for per natural-log unit change in CRP. When stratified by menopausal status, the risk increase was significant only in postmenopausal women. However, few studies in this meta-analysis were of premenopausal women, and it is still unclear whether the specific link between CRP and BC would vary with menopausal status. Also, there was evidence to suggest that the impact of CRP on breast carcinogenesis may vary among individuals of different body sizes, with stronger risk estimates in overweight and obese women.4–6 Obesity, as reflected by anthropometric measurement of body mass index (BMI), is an established contributor for postmenopausal BC and closely correlates with circulating levels of CRP.7 Therefore, to explain more association between CRP and BC risk and the regulatory role of obesity-related measurements in between, we studied in the context of the available evidence by meta-analyzing linear and nonlinear dose–response estimates on 19 studies (Supplementarymaterial 1 and3). Comparedwith the recentmeta-analysis,3 5 studies (including 1updated, 3 latest publications, and our case-control study) of 50,774 participants (involving 2412 cases) were added in this meta-analysis (Figure S2). We conducted a study on 312 cases and 312 age-matched controls in southwest China (Supplement material 2). Fasting plasma samples and anthropometric parameters were collected simultaneously. Multiple logistic regression adjustedmajor confounders was used to obtain the odds ratios. Besides, stratified analyses both by menstrual status and indicators of obesity, either BMI or WHR, were subsequently performed. Re-search to January 2020, but no eligible article has been added to the existing library.We fitted both fixed-effects and random-effects models, but random-effects took precedence for explaining the hetero-
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影响因子:
9.8
作者:
Anty, Rodolphe;Bekri, Soumeya;Gual, Philippe
通讯作者:
Gual, Philippe
影响因子:
2.3
作者:
Dossus, Laure;Jimenez-Corona, Aida;Mesrine, Sylvie
通讯作者:
Mesrine, Sylvie
影响因子:
3.9
作者:
Divella R;De Luca R;Abbate I;Naglieri E;Daniele A
通讯作者:
Daniele A
DOI:
10.1158/1055-9965.epi-15-0187
发表时间:
2015-08
期刊:
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子:
--
作者:
Wang J;Lee IM;Tworoger SS;Buring JE;Ridker PM;Rosner B;Hankinson SE
通讯作者:
Hankinson SE
影响因子:
120.7
作者:
Visser, M;Bouter, LM;Harris, TB
通讯作者:
Harris, TB