Effect of Serum Lipid Profile on the Risk of Breast Cancer: Systematic Review and Meta-Analysis of 1,628,871 Women.
Mehran NouriMohammad Ali MohsenpourNiki KatsikiSaeed GhobadiAlireza JafariShiva FaghihMaciej BanachMohsen MazidiPublished in: Journal of clinical medicine (2022)
Dyslipidemia has been linked to breast cancer incidence. The aim of the present meta-analysis was to further investigate the relationship between the serum lipid profile and breast cancer risk. Databases such as PubMed, EMBASE, and Web of Sciences were searched up to the end of January 2021 using certain MeSH and non-MeSH keywords and combinations to extract related published articles. Twenty-six prospective studies involving 1,628,871 women, of whom 36,590 were diagnosed with breast cancer during the follow-up period met the inclusion criteria. A negative and significant association was found between the HDL-C level and the risk of breast cancer (relative risk (RR): 0.85, 95% CI: 0.72-0.99, I 2 : 67.6%, p = 0.04). In contrast, TG (RR: 1.02, 95% CI: 0.91-1.13, I 2 : 54.2%, p = 0.79), total cholesterol (TC) (RR: 0.98, 95% CI: 0.90-1.06, I 2 : 67.2%, p = 0.57), apolipoprotein A (ApoA) (RR: 0.96, 95% CI: 0.70-1.30, I 2 : 83.5%, p = 0.78) and LDL-C (RR: 0.93, 95% CI: 0.79-1.09, I 2 : 0%, p = 0.386) were not associated with breast cancer development. In studies adjusting for hormone use and physical activity, breast cancer risk was positively correlated with TC (RR: 1.05, 95% CI: 1.01-1.10). Similarly, TG was significantly related to breast cancer development after adjustment for baseline lipids (RR: 0.92, 95% CI: 0.85-0.99) and race (any races mentioned in each study) (RR: 1.80, 95% CI: 1.22-2.65). In the present meta-analysis, HDL-C was inversely related to breast cancer risk. Overall, data on the links between lipids and breast cancer are conflicting. However, there is increasing evidence that low HDL-C is related to an increased risk for this type of malignancy.
Keyphrases
- breast cancer risk
- systematic review
- physical activity
- randomized controlled trial
- body mass index
- case control
- oxidative stress
- magnetic resonance
- magnetic resonance imaging
- pregnant women
- big data
- pregnancy outcomes
- type diabetes
- artificial intelligence
- adipose tissue
- machine learning
- young adults
- electronic health record
- metabolic syndrome
- computed tomography
- insulin resistance