Dataset Information

Lipids, cholesterols, statins and liver cancer: a Mendelian randomization study.

ABSTRACT:

Aim

To investigate the causal relationship of serum lipid indicators and lipid-lowering drugs with the risk of liver cancer using Mendelian randomization study.

Methods

A two-sample Mendelian randomization (TSMR) study was performed to investigate the causal relationship between serum levels of lipid indicators and liver cancer, including low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), triglycerides (TG), total cholesterol (TC), Apolipoprotein B (ApoB), and Apolipoprotein A1 (ApoA1).Furthermore, instrumental variable weighted regression (IVW) and summary data-based MR (SMR) analyses were performed to investigate the causal effects of lipid-lowering drugs, including statins and PCSK9 inhibitors, on the risk of liver cancer.

Results

Serum LDL-c and serum TC levels showed negatively associated with liver cancer (n = 22 SNPs, OR = 0.363, 95% CI = 0.231 - 0.570; p = 1.070E-5) (n = 83 SNPs; OR = 0.627, 95% CI = 0.413-0.952; p = 0.028). However, serum levels of TG, HDL-c, and ApoA1 did not show any significant correlation with liver cancer. In the drug target MR (DMR) analyses, HMGCR-mediated level of LDL-c showed an inverse relationship with the risk of liver cancer in the IVW-MR analysis (n = 5 SNPs, OR = 0.201, 95% CI = 0.064 - 0.631; p = 5.95E-03) and SMR analysis (n = 20 SNPs, OR = 0.245, 95% CI = 0.065 - 0.926; p = 0.038) However, PCSK9 did not show any significant association with liver cancer based on both the IVW-MR and SMR analyses.

Conclusion

Our results demonstrated that reduced levels of LDL-c and TC were associated with an increased risk of liver cancer. Furthermore, lipid-lowering drugs targeting HMGCR such as statins were associated with increased risk of liver cancer.

SUBMITTER: Liang Z

PROVIDER: S-EPMC10516570 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Lipids, cholesterols, statins and liver cancer: a Mendelian randomization study.

Liang Zicheng Z Zhang Zhen Z Tan Xiaoning X Zeng Puhua P

Frontiers in oncology 20230906

<h4>Aim</h4>To investigate the causal relationship of serum lipid indicators and lipid-lowering drugs with the risk of liver cancer using Mendelian randomization study.<h4>Methods</h4>A two-sample Mendelian randomization (TSMR) study was performed to investigate the causal relationship between serum levels of lipid indicators and liver cancer, including low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), triglycerides (TG), total cholesterol (TC), Apolipopr ...[more]

PMID: 37746259

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Project description:BackgroundA number of epidemiological and genetic studies have attempted to determine whether levels of circulating lipids are associated with risks of various cancers, including breast cancer (BC). However, it remains unclear whether a causal relationship exists between lipids and BC. If alteration of lipid levels also reduced risk of BC, this could present a target for disease prevention. This study aimed to assess a potential causal relationship between genetic variants associated with plasma lipid traits (high-density lipoprotein, HDL; low-density lipoprotein, LDL; triglycerides, TGs) with risk for BC using Mendelian randomization (MR).Methods and findingsData from genome-wide association studies in up to 215,551 participants from the Million Veteran Program (MVP) were used to construct genetic instruments for plasma lipid traits. The effect of these instruments on BC risk was evaluated using genetic data from the BCAC (Breast Cancer Association Consortium) based on 122,977 BC cases and 105,974 controls. Using MR, we observed that a 1-standard-deviation genetically determined increase in HDL levels is associated with an increased risk for all BCs (HDL: OR [odds ratio] = 1.08, 95% confidence interval [CI] = 1.04-1.13, P < 0.001). Multivariable MR analysis, which adjusted for the effects of LDL, TGs, body mass index (BMI), and age at menarche, corroborated this observation for HDL (OR = 1.06, 95% CI = 1.03-1.10, P = 4.9 × 10-4) and also found a relationship between LDL and BC risk (OR = 1.03, 95% CI = 1.01-1.07, P = 0.02). We did not observe a difference in these relationships when stratified by breast tumor estrogen receptor (ER) status. We repeated this analysis using genetic variants independent of the leading association at core HDL pathway genes and found that these variants were also associated with risk for BCs (OR = 1.11, 95% CI = 1.06-1.16, P = 1.5 × 10-6), including locus-specific associations at ABCA1 (ATP Binding Cassette Subfamily A Member 1), APOE-APOC1-APOC4-APOC2 (Apolipoproteins E, C1, C4, and C2), and CETP (Cholesteryl Ester Transfer Protein). In addition, we found evidence that genetic variation at the ABO locus is associated with both lipid levels and BC. Through multiple statistical approaches, we minimized and tested for the confounding effects of pleiotropy and population stratification on our analysis; however, the possible existence of residual pleiotropy and stratification remains a limitation of this study.ConclusionsWe observed that genetically elevated plasma HDL and LDL levels appear to be associated with increased BC risk. Future studies are required to understand the mechanism underlying this putative causal relationship, with the goal of developing potential therapeutic strategies aimed at altering the cholesterol-mediated effect on BC risk.

Project description:BackgroundThe influences of blood lipids and lipid-regulatory medications on the risk of bladder cancer have long been suspected, and previous findings remain controversial. We aimed to assess the causality between blood lipids or lipid-regulatory medications and bladder cancer susceptibility by means of a comprehensive Mendelian Randomization (MR) study.MethodsGenetic proxies from genome-wide association studies (GWAS) of four blood lipid traits and lipid-lowering variants in genes encoding the targets of lipid-regulatory medications were employed. The largest ever GWAS data of blood lipids and bladder cancer involving up to 440,546 and 205,771 individuals of European ancestry were extracted from UK Biobank and FinnGen Project Round 6, respectively. A two-sample bidirectional MR study was performed using the inverse variance weighted as the main method. The heterogeneity, horizontal pleiotropy, MR Steiger, and leave-one-out analyses were also conducted as sensitivity tests.ResultsThere was indicative evidence that genetically predicted low-density lipoprotein cholesterol (LDL-C) affected bladder cancer susceptibility based on 146 single nucleotide polymorphisms (SNPs) with an odds ratio (OR) of 0.776 (95% confidence interval [CI] = 0.625-0.965, p = 0.022). However, this result became non-significant after two SNPs that possibly drove the effect were removed as demonstrated by leave-one-out analysis. The reversed MR analysis suggested that bladder cancer could not affect serum lipid levels. No causal relationship was found between the lipid-lowering effect of lipid-regulatory medications (fibrates, probucol, statins, ezetimibe, proprotein convertase subtilisin/kexin type 9 [PCSK9] inhibitors, and evinacumab) and the risk of bladder cancer. No heterogeneity or pleiotropy was found (all p > 0.05).ConclusionThis MR study revealed for the first time, using the most recent and comprehensive GWAS data to date, that genetically predicted total cholesterol (TC) and the lipid-lowering effect of lipid-regulatory medications had no causal association with bladder cancer susceptibility. We also verified claims from early studies that low-density lipoprotein cholesterol (HDL-C), LDL-C, and triglyceride (TG) are not related to bladder cancer susceptibility either. The current study indicated that lipid metabolism may not be as important in the tumorigenesis of bladder cancer as previously believed.

Project description:BackgroundGastric cancer ranks as the fifth most prevalent cancer and the third leading cause of cancer-related mortality worldwide, Statins, renowned for their cholesterol-lowering effects, have garnered interest for their potential roles in cancer prevention and treatment due to their pleiotropic effects, such as anti-proliferative, pro-apoptotic, and anti-inflammatory properties. This study aims to investigate the therapeutic potential of simvastatin, a widely prescribed statin, in the context of gastric cancer using Mendelian randomization (MR) to explore a possible causal relationship between simvastatin use and gastric cancer risk.MethodsWe conducted a two-sample MR analysis utilizing summary statistics from genome-wide association studies (GWAS). Data from the Integrative Epidemiology Unit (IEU) Open GWAS project included 462,933 participants and 9,851,867 single nucleotide polymorphisms (SNPs) for simvastatin, and 476,116 participants with 24,188,662 SNPs for gastric cancer. Instrumental variables screening criteria were stringent, resulting in 41 valid SNPs as instrumental variables. The MR analysis was performed using the inverse variance weighting (IVW), supplemented by MR-Egger, weighted median estimator (WME), weighted mode, and simple mode approaches. Heterogeneity and pleiotropy were assessed using IVW, MR-Egger tests, and the MR-PRESSO method.ResultsThe IVW and WME analyses indicated a significant protective effect of simvastatin against gastric cancer [IVW: odds ratio (OR) =0.1459, 95% confidence interval (CI): -3.502 to -0.346, P=0.01; WME: OR =0.0347, 95% CI: -3.521 to 0.1610, P=0.03]. There was no significant difference between the results of the two MR analyses before and after the removal of outliers (P=0.76), and the Egger-intercept for horizontal pleiotropy testing was not significant (P=0.38). Leave-one-out sensitivity analysis supported the robustness of our findings.ConclusionsThis MR study provides evidence for a potential protective effect of simvastatin against gastric cancer, suggesting its consideration as an adjunct to traditional cancer therapies.

Project description:AimsWe aim to investigate the causal effect of blood lipids mediating sodium-glucose cotransporter 2 (SGLT2) inhibition in cardiovascular disease (CVD) using Mendelian randomization (MR).Methods and resultsA two-sample two-step MR study was conducted to evaluate the association of SGLT2 inhibition with CVDs and the mediation effects of blood lipids linking SGLT2 inhibition with CVDs. Genetic instruments for SGLT2 inhibition were identified as genetic variants, which were associated with the expression of the SLC5A2 gene and glycated haemoglobin level (HbA1c). SGLT2 inhibition was associated with reduced risk of heart failure (HF) (OR 0.44 [95% CI 0.32-0.61]; P = 6.0 × 10-7), atrial fibrillation (AF) (0.47 [0.37-0.61]; P = 1.81 × 10-8), coronary artery disease (CAD) (0.47 [0.30-0.73]; P = 7.46 × 10-4), myocardial infarction (MI) (0.30 [0.15-0.61]; P = 7.44 × 10-4), any stroke (AS) (0.28 [0.18-0.42]; P = 1.14 × 10-9), and ischaemic stroke (IS) (0.27 [0.17-0.44]; P = 1.97 × 10-7). Our results indicated that the proportion mediated of the mediating effect of total cholesterol was 1.7% (OR 0.99 [95% CI 0.98, 0.99], P = 0.004), 4.7% (0.96 [0.95, 0.98], P = 0.002), and 2.7% (0.97 [0.95, 0.98], P = 0.002) in the association between SGLT2 inhibition and the risk of HF, CAD, and MI, respectively. For low-density lipoprotein cholesterol, the proportion mediated of the mediating effect was 2.2% for HF (OR 0.98 [95% CI 0.98, 0.99], P = 0.003), 8.6% for CAD (0.93 [0.91, 0.95], P = 5.74 × 10-4), and 5.0% for MI (0.95 [0.94, 0.96], P = 6.97 × 10-4). For non-high-density lipoprotein cholesterol, the proportion mediated of the mediating effect was 3.4% for HF (OR 0.98 [95% CI 0.97, 0.98], P = 4.42 × 10-6), 11.8% for CAD (0.92 [0.90, 0.93], P = 7.23 × 10-8), 5.7% for MI (0.94 [0.92, 0.95], P = 8.17 × 10-7), 1.5% for AS (0.98 [0.98, 0.99], P = 0.001), and 1.4% for IS (0.98 [0.98, 0.99], P = 0.004).ConclusionsOur study showed the association of SGLT2 inhibition with the reduced risk of CVDs and blood lipids might mediate this association.

Dataset Information

Lipids, cholesterols, statins and liver cancer: a Mendelian randomization study.

Aim

Methods

Results

Conclusion

Publications

Lipids, cholesterols, statins and liver cancer: a Mendelian randomization study.

Similar Datasets

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