Exploring The Causal Relationship Between Lipid Profiles and Colorectal Cancer Through Mendelian Randomization: A Multidimensional Plasma Lipid Composition Perspective

<b>Background:</b> The causal relationship between blood lipids and colorectal cancer (CRC) risk has been preliminarily explored in previous Mendelian randomization (MR) studies, but these investigations were limited to conventional or partial metabolic lipid profiles. Recent advancements in genome-wide association studies of plasma lipidomics have expanded our understanding of lipid categories, underscoring the need to evaluate the causal associations between a broader range of lipid types and CRC risk to enhance risk assessment. <b>Methods:</b> This MR study utilized 179 lipid phenotypes across 13 lipid classes to investigate their causal associations with CRC risk. Genetic variants significantly associated with lipid traits at the genome-wide level (<i>P</i><5×10<sup>-8</sup>) were used as instrumental variables for MR analysis. Initial analyses were conducted using a discovery dataset (n=321,040), followed by validation in an independent replication dataset (n=185,616). Meta-analysis was then employed to determine the strength of causal evidence. The inverse-variance weighted (IVW) method and Wald ratio were the primary MR approaches, complemented by up to nine methods for multidimensional validation. Sensitivity analyses included tests for pleiotropy, heterogeneity, Steiger directionality, and Bayesian colocalization analysis, among others. <b>Results:</b> After Bonferroni correction and rigorous validations, 9 significant causal associations were identified. Specifically, genetically predicted levels of sterol ester (27:1/20:5) (OR<sub>IVW</sub> = 1.214, 95% CI 1.119-1.317), phosphatidylcholine (20:4_0:0) (OR<sub>IVW</sub> = 1.147, 95% CI 1.077-1.222), phosphatidylcholine (16:0_22:4) (OR<sub>IVW</sub> = 1.312, 95% CI 1.170-1.472), phosphatidylcholine (16:0_22:5) (OR<sub>IVW</sub> =1.181, 95% CI 1.093-1.277), and phosphatidylcholine (18:0_20:5) (OR<sub>IVW</sub> = 1.198, 95% CI 1.104-1.300) were significantly associated with an increased risk of CRC. Conversely, levels of phosphatidylcholine (18:1_20:2) (OR<sub>IVW</sub> = 0.832, 95% CI 0.771-0.898), phosphatidylethanolamine (18:2_0:0) (OR<sub>IVW</sub> = 0.804, 95% CI 0.732-0.882), phosphatidylcholine (16:0_18:0) (OR<sub>Wald ratio</sub> = 0.611, 95% CI 0.481-0.777), and phosphatidylcholine (O-18:1_18:2) (OR<sub>Wald ratio</sub> = 0.723, 95% CI 0.620-0.840) were significantly associated with a decreased risk of CRC. Colocalization analysis revealed posterior probabilities for hypothesis 4 exceeding 90%, identifying rs174546 and rs28456 as shared causal variants. Additionally, 14 suggestive causal associations were observed. <b>Conclusions:</b> This study establishes a causal link between specific lipid species and CRC risk. These findings suggest new avenues for CRC prevention and treatment strategies.

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Journal
Journal of Cancer
Published
2025-02-28
DOI
https://doi.org/10.7150/jca.103247
Citations
2
Primary Topic
Cancer, Lipids, and Metabolism
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article
Field-Weighted Citation Impact
1.87

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article

Exploring The Causal Relationship Between Lipid Profiles and Colorectal Cancer Through Mendelian Randomization: A Multidimensional Plasma Lipid Composition Perspective

Jie-Ge Huo, Jialin Gu, Yun He, Yi Ji et al.
2 citations
Journal of Cancer
Cancer, Lipids, and Metabolism
1.87
article

Exploring The Causal Relationship Between Lipid Profiles and Colorectal Cancer Through Mendelian Randomization: A Multidimensional Plasma Lipid Composition Perspective

Jie-Ge Huo, Jialin Gu, Yun He, Yi Ji, Guangwen Cao, Rongrong Li, Guoli Wei, Hailan Wu, Zhancheng Gu
article en
2 citations

Abstract

<b>Background:</b> The causal relationship between blood lipids and colorectal cancer (CRC) risk has been preliminarily explored in previous Mendelian randomization (MR) studies, but these investigations were limited to conventional or partial metabolic lipid profiles. Recent advancements in genome-wide association studies of plasma lipidomics have expanded our understanding of lipid categories, underscoring the need to evaluate the causal associations between a broader range of lipid types and CRC risk to enhance risk assessment. <b>Methods:</b> This MR study utilized 179 lipid phenotypes across 13 lipid classes to investigate their causal associations with CRC risk. Genetic variants significantly associated with lipid traits at the genome-wide level (<i>P</i><5×10<sup>-8</sup>) were used as instrumental variables for MR analysis. Initial analyses were conducted using a discovery dataset (n=321,040), followed by validation in an independent replication dataset (n=185,616). Meta-analysis was then employed to determine the strength of causal evidence. The inverse-variance weighted (IVW) method and Wald ratio were the primary MR approaches, complemented by up to nine methods for multidimensional validation. Sensitivity analyses included tests for pleiotropy, heterogeneity, Steiger directionality, and Bayesian colocalization analysis, among others. <b>Results:</b> After Bonferroni correction and rigorous validations, 9 significant causal associations were identified. Specifically, genetically predicted levels of sterol ester (27:1/20:5) (OR<sub>IVW</sub> = 1.214, 95% CI 1.119-1.317), phosphatidylcholine (20:4_0:0) (OR<sub>IVW</sub> = 1.147, 95% CI 1.077-1.222), phosphatidylcholine (16:0_22:4) (OR<sub>IVW</sub> = 1.312, 95% CI 1.170-1.472), phosphatidylcholine (16:0_22:5) (OR<sub>IVW</sub> =1.181, 95% CI 1.093-1.277), and phosphatidylcholine (18:0_20:5) (OR<sub>IVW</sub> = 1.198, 95% CI 1.104-1.300) were significantly associated with an increased risk of CRC. Conversely, levels of phosphatidylcholine (18:1_20:2) (OR<sub>IVW</sub> = 0.832, 95% CI 0.771-0.898), phosphatidylethanolamine (18:2_0:0) (OR<sub>IVW</sub> = 0.804, 95% CI 0.732-0.882), phosphatidylcholine (16:0_18:0) (OR<sub>Wald ratio</sub> = 0.611, 95% CI 0.481-0.777), and phosphatidylcholine (O-18:1_18:2) (OR<sub>Wald ratio</sub> = 0.723, 95% CI 0.620-0.840) were significantly associated with a decreased risk of CRC. Colocalization analysis revealed posterior probabilities for hypothesis 4 exceeding 90%, identifying rs174546 and rs28456 as shared causal variants. Additionally, 14 suggestive causal associations were observed. <b>Conclusions:</b> This study establishes a causal link between specific lipid species and CRC risk. These findings suggest new avenues for CRC prevention and treatment strategies.

Journal of CancerVol. 16(6)
Zhejiang Chinese Medical University (CN), Nanjing University of Chinese Medicine (CN), Shanghai University of Traditional Chinese Medicine (CN), Traditional Chinese Medicine Hospital of Kunshan (CN), Changshu No.1 People's Hospital (CN), Jiangsu Cancer Hospital (CN), Suzhou Traditional Chinese Medicine Hospital (CN), Second Affiliated Hospital of Nanjing Medical University (CN), First Affiliated Hospital Zhejiang University (CN), Nanjing Medical University (CN)
Jiangsu Commission of Health, Jiangsu Association for Science and Technology
Good health and well-being
Openalex Percentile: Top 16%
Cancer, Lipids, and Metabolism
1.87
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