Dietary inflammatory index and breast cancer risk: an updated meta-analysis of observational studies

Author(s):  
Zahra Hayati ◽  
Mohammad Asghari Jafarabadi ◽  
Saeed Pirouzpanah
2018 ◽  
Vol 73 (4) ◽  
pp. 509-517 ◽  
Author(s):  
Lu Wang ◽  
Cun Liu ◽  
Chao Zhou ◽  
Jing Zhuang ◽  
Shifeng Tang ◽  
...  

2005 ◽  
Vol 23 (34) ◽  
pp. 8606-8612 ◽  
Author(s):  
Stefanos Bonovas ◽  
Kalitsa Filioussi ◽  
Nikolaos Tsavaris ◽  
Nikolaos M. Sitaras

Purpose A growing body of evidence suggests that statins may have chemopreventive potential against breast cancer. Laboratory studies demonstrate that statins induce apoptosis and reduce cell invasiveness in various cell lines, including breast carcinoma cells. However, the clinical relevance of these data remains unclear. The nonconclusive nature of the epidemiologic data prompted us to conduct a detailed meta-analysis of the studies published on the subject in peer-reviewed literature. Patients and Methods A comprehensive search for articles published up until 2005 was performed; reviews of each study were conducted; and data were abstracted. Before meta-analysis, the studies were evaluated for publication bias and heterogeneity. Pooled relative risk (RR) estimates and 95% CIs were calculated using the random and the fixed-effects models. Subgroup and sensitivity analyses were also performed. Results Seven large randomized trials and nine observational studies (five case-control and four cohort studies) contributed to the analysis. We found no evidence of publication bias or heterogeneity among the studies. Statin use did not significantly affect breast cancer risk (fixed effects model: RR = 1.03; 95% CI, 0.93 to 1.14; random effects model: RR = 1.02; 95% CI, 0.89 to 1.18). When the analyses were stratified into subgroups, there was no evidence that study design substantially influenced the estimate of effects. Furthermore, the sensitivity analysis confirmed the stability of our results. Conclusion Our meta-analysis findings do not support a protective effect of statins against breast cancer. However, this conclusion is limited by the relatively short follow-up times of the studies analyzed. Further studies are required to investigate the potential decrease in breast cancer risk among long-term statin users.


PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e57781
Author(s):  
Aida Bianco ◽  
Barbara Quaresima ◽  
Claudia Pileggi ◽  
Maria Concetta Faniello ◽  
Carlo De Lorenzo ◽  
...  

Aging ◽  
2020 ◽  
Vol 12 (18) ◽  
pp. 18415-18435
Author(s):  
Dai Zhang ◽  
Peng Xu ◽  
Yiche Li ◽  
Bajin Wei ◽  
Si Yang ◽  
...  

2017 ◽  
Vol 117 (10) ◽  
pp. 1358-1367 ◽  
Author(s):  
Wu-Qing Huang ◽  
Xiong-Fei Mo ◽  
Yan-Bin Ye ◽  
Nitin Shivappa ◽  
Fang-Yu Lin ◽  
...  

AbstractPrevious studies have investigated the association between dietary inflammatory potential and the development of cancer. For breast cancer the results have been equivocal. The present study aimed to investigate whether higher Dietary Inflammatory IndexTM (DII) scores were associated with increased risk of breast cancer among Chinese women. A total of 867 cases and 824 controls were recruited into the present case–control study from September 2011 to February 2016. DII scores were computed based on baseline dietary intake assessed by a validated 81-item FFQ. The OR and 95 % CI were assessed by multivariable logistic regression after adjusting for various potential confounders. DII scores in this study ranged from −5·87 (most anti-inflammatory score) to +5·71 (most proinflammatory score). A higher DII score was associated with a higher breast cancer risk (adjusted ORquartile 4 v. 1 2·28; 95 % CI 1·71, 3·03; adjusted ORcontinuous 1·40; 95 %CI 1·25, 1·39). In stratified analyses, positive associations also were observed except for underweight women or women with either oestrogen receptor+ or progesterone receptor+ status (but not both). Results from this study indicated that higher DII scores, corresponding to more proinflammatory diets, were positively associated with breast cancer risk among Chinese women.


2016 ◽  
Vol 0 (0) ◽  
pp. 1-5
Author(s):  
Dong-Mei Liu ◽  
◽  
Jian Zhang ◽  
Wei Zhang ◽  
James Lu ◽  
...  

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