Exploring association between statin use and breast cancer risk: an updated meta-analysis

2017 ◽  
Vol 296 (6) ◽  
pp. 1043-1053 ◽  
Author(s):  
Md. Mohaimenul Islam ◽  
Hsuan-Chia Yang ◽  
Phung-Anh Nguyen ◽  
Tahmina Nasrin Poly ◽  
Chih-Wei Huang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Statin Use

scholarly journals Transiently increased risk of breast cancer after childbirth: implications for fertility treatments and surrogacy

2020 ◽  
Vol 35 (6) ◽  
pp. 1253-1255
Author(s):  
Zeev Blumenfeld ◽  
Norbert Gleicher ◽  
Eli Y Adashi
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Small Degree ◽  
Short Term ◽  
Benefit Ratio ◽  
Professional Societies ◽  
Fertility Treatments ◽  
Increased Risk

Abstract Whereas longstanding dogma has purported that pregnancies protect women from breast cancer, a recent meta-analysis now mandates reconsideration since it reported an actual higher breast cancer risk for more than two decades after childbirth before the relative risk turns negative. Moreover, the risk of breast cancer appears higher for women having their first birth at an older age and with a family history and it is not reduced by breastfeeding. The process of obtaining informed consent for all fertility treatments, therefore, must make patients aware of the facts that every pregnancy, to a small degree, will increase the short-term breast cancer risk. This observation may be even more relevant in cases of surrogacy where women agree to conceive without deriving benefits of offspring from assuming the risk, thus creating a substantially different risk-benefit ratio. Consequently, it appears prudent for professional societies in the field to update recommendations regarding consent information for all fertility treatments but especially for treatments involving surrogacy.

CXCL12 G801A polymorphism and breast cancer risk: a meta-analysis

2011 ◽  
Vol 39 (2) ◽  
pp. 2039-2044 ◽  
Author(s):  
Weisheng Shen ◽  
Xiangming Cao ◽  
Lei Xi ◽  
Lichun Deng
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis

scholarly journals Association of glutathione S-transferase T1, M1, and P1 polymorphisms in the breast cancer risk: a meta-analysis

2016 ◽  
pp. 763 ◽  
Author(s):  
Zhiwang Song ◽  
Chuan Shao ◽  
Chan Feng ◽  
Yonglin Lu ◽  
Yong Gao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Glutathione S Transferase

Use of Statins and Breast Cancer: A Meta-Analysis of Seven Randomized Clinical Trials and Nine Observational Studies

2005 ◽  
Vol 23 (34) ◽  
pp. 8606-8612 ◽  
Author(s):  
Stefanos Bonovas ◽  
Kalitsa Filioussi ◽  
Nikolaos Tsavaris ◽  
Nikolaos M. Sitaras
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Publication Bias ◽  
Observational Studies ◽  
Fixed Effects ◽  
Randomized Clinical Trials ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Fixed Effects Model

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.

Eligible and not eligible studies in the recent meta-analysis about p53 polymorphism and breast cancer risk

2009 ◽  
Vol 120 (1) ◽  
pp. 261-262 ◽  
Author(s):  
Theodoros N. Sergentanis ◽  
Konstantinos P. Economopoulos
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
P53 Polymorphism
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