Low-Grade Inflammation, Oxidative Stress and Risk of Invasive Post-Menopausal Breast Cancer - A Nested Case-Control Study from the Malmö Diet and Cancer Cohort

作者
Joana Alves Dias,Gunilla Nordin Fredrikson,Ulrika Ericson,Bo Gullberg,Bo Hedblad,Gunnar Engström,Signe Borgquist,Jan Åke Nilsson,Elisabet Wirfält
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:11 (7): e0158959-e0158959 被引量:48
标识
DOI:10.1371/journal.pone.0158959
摘要

OBJECTIVE: Although cancer promotes inflammation, the role of inflammation in tumor-genesis is less well established. The aim was to examine if low-grade inflammation is related to post-menopausal breast cancer risk, and if obesity modifies this association. METHODS: In the Malmö Diet and Cancer cohort, a nested case-control study was defined among 8,513 women free of cancer and aged 55-73 years at baseline (1991-96); 459 were diagnosed with invasive breast cancer during follow-up (until December 31st, 2010). In laboratory analyses of blood from 446 cases, and 885 controls (matched on age and date of blood sampling) we examined systemic inflammation markers: oxidized (ox)-LDL, interleukin (IL)-1β, IL-6, IL-8, tumor necrosis factor (TNF)-α, white blood cells, lymphocytes and neutrophils. Odds ratios (OR) and 95% confidence intervals (CI) for breast cancer risk was calculated using multivariable conditional logistic regression. RESULTS: Inverse associations with breast cancer were seen in fully-adjusted models, for 2nd and 3rd tertiles of ox-LDL, OR (95% CI): 0.65 (0.47-0.90), 0.63 (0.45-0.89) respectively, p-trend = 0.01; and for the 3rd tertile of TNF-α, 0.65 (0.43-0.99), p-trend = 0.04. In contrast, those in the highest IL-1β category had higher risk, 1.71 (1.05-2.79), p-trend = 0.01. Obesity did not modify associations between inflammation biomarkers and breast cancer. CONCLUSION: Our study does not suggest that low-grade inflammation increase the risk of post-menopausal breast cancer.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
欧高完成签到 ,获得积分10
2秒前
aajhajkahna举报余功续的求助涉嫌违规
7秒前
Yian完成签到 ,获得积分10
8秒前
XWT完成签到 ,获得积分10
12秒前
14秒前
sweet完成签到 ,获得积分10
16秒前
Thunnus001完成签到 ,获得积分10
17秒前
XWT发布了新的文献求助30
18秒前
20秒前
aajhajkahna举报高贵振家的求助涉嫌违规
20秒前
zz完成签到 ,获得积分10
23秒前
25秒前
炙热的无血完成签到,获得积分10
27秒前
小通通完成签到 ,获得积分10
28秒前
Bonaventure完成签到,获得积分10
31秒前
又见白龙完成签到,获得积分10
35秒前
虚心的乘云完成签到,获得积分10
35秒前
星辰完成签到 ,获得积分10
36秒前
39秒前
nieyy完成签到,获得积分10
46秒前
redmoon完成签到,获得积分10
50秒前
哈哈哈完成签到,获得积分10
54秒前
Shaohan完成签到,获得积分10
54秒前
想毕业的笑笑完成签到,获得积分10
54秒前
狼来了aas完成签到,获得积分10
55秒前
欧阳完成签到,获得积分10
55秒前
56秒前
卡片完成签到,获得积分10
57秒前
57秒前
王继完成签到,获得积分10
58秒前
背后如之完成签到,获得积分10
58秒前
混子完成签到,获得积分10
59秒前
想毕业的猫猫完成签到,获得积分10
59秒前
hahaha6789y完成签到,获得积分10
1分钟前
胡思乱响完成签到,获得积分10
1分钟前
舒心的夜完成签到,获得积分10
1分钟前
愤怒的水绿完成签到,获得积分10
1分钟前
年轻靖巧完成签到,获得积分10
1分钟前
Xiao_Fu完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7813084
求助须知:如何正确求助?哪些是违规求助? 9343853
关于积分的说明 20519795
捐赠科研通 7405859
什么是DOI,文献DOI怎么找? 3330320
关于科研通互助平台的介绍 2476977
邀请新用户注册赠送积分活动 2349867