Dyslipidemia and colorectal cancer risk: a meta-analysis of prospective studies.
PURPOSEThe findings from epidemiologic studies of dyslipidemia and colorectal cancer risk have been conflicting. We performed a dose-response meta-analysis of published prospective studies to assess the aforementioned association.
METHODSRelevant studies that reported the association between the components of dyslipidemia (serum triglyceride, total cholesterol, and high-/low-density lipoprotein cholesterol) and colorectal cancer risk were identified by searching PubMed until the end of May 2014. We pooled the relative risks (RRs) from individual studies using a random- and fixed-effects models and performed dose-response, heterogeneity, and publication bias analyses.
RESULTSSeventeen prospective studies, including 1,987,753 individuals with 10,876 colorectal cancer events, were included in the meta-analysis. The overall pooled RR for high versus low concentrations for triglyceride (n = 9 studies) was 1.18 (95 % CI 1.04-1.34; I (2) = 47.8 %), for total cholesterol (n = 10 studies) was 1.11 (95 % CI 1.01-1.21; I (2) = 46.7 %), for high-density lipoprotein cholesterol (n = 6 studies) was 0.84 (95 % CI 0.69-1.02; I (2) = 42.5 %), and for low-density lipoprotein cholesterol (n = 3 studies) was 1.04 (95 % CI 0.60-1.81; I (2) = 82.7 %). In the dose-response analysis, the overall pooled RR was 1.01 (95 % CI 1.00-1.03; I (2) = 0 %) per 50 mg/dL of triglyceride and 1.01 (95 % CI 0.97-1.05; I (2) = 64.3 %) per 100 mg/dL of total cholesterol.
CONCLUSIONSThis meta-analysis of prospective studies suggests that dyslipidemia, especially high levels of serum triglyceride and total cholesterol, is associated with an increased risk of colorectal cancer, whereas high-density lipoprotein cholesterol might associate with a decreased risk of colorectal cancer. Further studies are warranted to determine whether altering the concentrations of these metabolic variables may reduce colorectal cancer risk.
Department of General Surgery, Shengjing Hospital of China Medical University, 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China.
Department of General Surgery, Shengjing Hospital of China Medical University, 36, San Hao Street, Shenyang, Liaoning, 110004, People's Republic of China. firstname.lastname@example.org.
Pub Type(s)Journal Article