Hailan Wu, Jialin Gu, Yun He, Yi Ji, Wen Cao, Rongrong Li, Zhancheng Gu, Guoli Wei, Jiege Huo
{"title":"通过孟德尔随机化探索血脂与结直肠癌之间的因果关系:一个多维血浆脂质组成的视角。","authors":"Hailan Wu, Jialin Gu, Yun He, Yi Ji, Wen Cao, Rongrong Li, Zhancheng Gu, Guoli Wei, Jiege Huo","doi":"10.7150/jca.103247","DOIUrl":null,"url":null,"abstract":"<p><p><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.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 6","pages":"1848-1859"},"PeriodicalIF":3.3000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11905406/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring The Causal Relationship Between Lipid Profiles and Colorectal Cancer Through Mendelian Randomization: A Multidimensional Plasma Lipid Composition Perspective.\",\"authors\":\"Hailan Wu, Jialin Gu, Yun He, Yi Ji, Wen Cao, Rongrong Li, Zhancheng Gu, Guoli Wei, Jiege Huo\",\"doi\":\"10.7150/jca.103247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><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.</p>\",\"PeriodicalId\":15183,\"journal\":{\"name\":\"Journal of Cancer\",\"volume\":\"16 6\",\"pages\":\"1848-1859\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11905406/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.7150/jca.103247\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7150/jca.103247","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:在之前的孟德尔随机化(MR)研究中,已经初步探讨了血脂与结直肠癌(CRC)风险之间的因果关系,但这些研究仅限于常规或部分代谢脂质谱。血浆脂质组学全基因组关联研究的最新进展扩大了我们对脂质类别的理解,强调需要评估更广泛的脂质类型与结直肠癌风险之间的因果关系,以加强风险评估。方法:这项MR研究利用了13类脂质的179种脂质表型来研究它们与结直肠癌风险的因果关系。在全基因组水平(P-8)与脂质性状显著相关的遗传变异被用作MR分析的工具变量。初始分析使用发现数据集(n=321,040)进行,随后在独立复制数据集(n=185,616)中进行验证。然后采用荟萃分析来确定因果证据的强度。反方差加权(IVW)方法和沃尔德比是主要的MR方法,辅以多达9种方法进行多维验证。敏感性分析包括多效性、异质性、Steiger方向性和贝叶斯共定位分析等测试。结果:经Bonferroni校正和严格的验证,鉴定出9个显著的因果关系。具体来说,遗传预测的甾醇酯(27:1/20:5)(ORIVW = 1.214, 95% CI 1.119 ~ 1.317)、磷脂酰胆碱(20:4 ~ 0:0)(ORIVW = 1.147, 95% CI 1.077 ~ 1.222)、磷脂酰胆碱(16:0 ~ 22:4)(ORIVW = 1.312, 95% CI 1.170 ~ 1.472)、磷脂酰胆碱(16:0 ~ 22:5)(ORIVW =1.181, 95% CI 1.093 ~ 1.277)和磷脂酰胆碱(18:0 ~ 20:5)(ORIVW = 1.198, 95% CI 1.104 ~ 1.300)水平与结直肠癌风险增加显著相关。相反,磷脂酰胆碱(18:1:20:2)(ORIVW = 0.832, 95% CI 0.771-0.898)、磷脂酰乙醇胺(18:2 -0:0)(ORIVW = 0.804, 95% CI 0.732-0.882)、磷脂酰胆碱(16:0 -18:0)(ORWald比值= 0.611,95% CI 0.481-0.777)和磷脂酰胆碱(o -18:1: 18:2) (ORWald比值= 0.723,95% CI 0.62 -0.840)水平与CRC风险降低显著相关。共定位分析显示,假设4的后验概率超过90%,确定rs174546和rs28456为共同的因果变异。此外,还观察到14个暗示性因果关联。结论:本研究建立了特定脂质种类与结直肠癌风险之间的因果关系。这些发现为CRC的预防和治疗策略提供了新的途径。
Exploring The Causal Relationship Between Lipid Profiles and Colorectal Cancer Through Mendelian Randomization: A Multidimensional Plasma Lipid Composition Perspective.
Background: 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. Methods: 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 (P<5×10-8) 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. Results: After Bonferroni correction and rigorous validations, 9 significant causal associations were identified. Specifically, genetically predicted levels of sterol ester (27:1/20:5) (ORIVW = 1.214, 95% CI 1.119-1.317), phosphatidylcholine (20:4_0:0) (ORIVW = 1.147, 95% CI 1.077-1.222), phosphatidylcholine (16:0_22:4) (ORIVW = 1.312, 95% CI 1.170-1.472), phosphatidylcholine (16:0_22:5) (ORIVW =1.181, 95% CI 1.093-1.277), and phosphatidylcholine (18:0_20:5) (ORIVW = 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) (ORIVW = 0.832, 95% CI 0.771-0.898), phosphatidylethanolamine (18:2_0:0) (ORIVW = 0.804, 95% CI 0.732-0.882), phosphatidylcholine (16:0_18:0) (ORWald ratio = 0.611, 95% CI 0.481-0.777), and phosphatidylcholine (O-18:1_18:2) (ORWald ratio = 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. Conclusions: This study establishes a causal link between specific lipid species and CRC risk. These findings suggest new avenues for CRC prevention and treatment strategies.
期刊介绍:
Journal of Cancer is an open access, peer-reviewed journal with broad scope covering all areas of cancer research, especially novel concepts, new methods, new regimens, new therapeutic agents, and alternative approaches for early detection and intervention of cancer. The Journal is supported by an international editorial board consisting of a distinguished team of cancer researchers. Journal of Cancer aims at rapid publication of high quality results in cancer research while maintaining rigorous peer-review process.