Tingyu Lang , Shaoqi Hua , Xiaolei Liang , Yongxiu Yang
{"title":"全基因组关联分析确定了炎症机制介导脂质代谢对子宫内膜原位癌的影响","authors":"Tingyu Lang , Shaoqi Hua , Xiaolei Liang , Yongxiu Yang","doi":"10.1016/j.jchromb.2025.124601","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>While lipids and inflammation are recognized as key modulators of tumor progression, their causal interplay in endometrial carcinoma in situ (ECIS)—the precursor of endometrial cancer—remains mechanistically undefined. Despite broad associations between lipid metabolism and cancer, the specific pathways driving ECIS initiation through inflammatory mediators are unknown.</div></div><div><h3>Method</h3><div>We pioneer an integrative Mendelian randomization (MR) framework combining multivariable MR, Bayesian weighted MR (BWMR), and sensitivity analyses to address pleiotropy. This approach was systematically applied to 179 lipids and 91 inflammatory factors. Methodological novelty further includes mediation analysis quantifying inflammatory factors' role in lipid-ECIS pathways.</div></div><div><h3>Results</h3><div>First evidence reveals a phosphatidylcholine (O-18:0_16:1)-TNFSF12-ECIS axis: TNFSF12 mediates 4.894 % of phosphatidylcholine's effect (OR: 2.925; beta: 1.073; 95 % CI: 1.752–4.884; <em>p</em> = 4.032E-05), attenuating the direct lipid-ECIS association. This represents the inaugural demonstration of an inflammation-mediated lipid pathway in ECIS pathogenesis.</div></div><div><h3>Conclusion</h3><div>As the first MR study decoding lipid-ECIS causality, we establish the following:<ul><li><span>1.</span><span><div>A paradigm-shifting methodology integrating Bayesian MR with mediation analysis for cancer etiology research.</div></span></li><li><span>2.</span><span><div>Clinically actionable biomarkers (phosphatidylcholine and TNFSF12) with dual diagnostic and therapeutic targeting potential.</div></span></li><li><span>3.</span><span><div>These advances provide a roadmap for intercepting ECIS progression through lipid-inflammatory axis modulation.</div></span></li></ul></div></div>","PeriodicalId":348,"journal":{"name":"Journal of Chromatography B","volume":"1258 ","pages":"Article 124601"},"PeriodicalIF":2.8000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genome-wide association analysis identified inflammatory mechanisms mediating the effects of lipid metabolism on endometrial carcinoma in situ\",\"authors\":\"Tingyu Lang , Shaoqi Hua , Xiaolei Liang , Yongxiu Yang\",\"doi\":\"10.1016/j.jchromb.2025.124601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>While lipids and inflammation are recognized as key modulators of tumor progression, their causal interplay in endometrial carcinoma in situ (ECIS)—the precursor of endometrial cancer—remains mechanistically undefined. Despite broad associations between lipid metabolism and cancer, the specific pathways driving ECIS initiation through inflammatory mediators are unknown.</div></div><div><h3>Method</h3><div>We pioneer an integrative Mendelian randomization (MR) framework combining multivariable MR, Bayesian weighted MR (BWMR), and sensitivity analyses to address pleiotropy. This approach was systematically applied to 179 lipids and 91 inflammatory factors. Methodological novelty further includes mediation analysis quantifying inflammatory factors' role in lipid-ECIS pathways.</div></div><div><h3>Results</h3><div>First evidence reveals a phosphatidylcholine (O-18:0_16:1)-TNFSF12-ECIS axis: TNFSF12 mediates 4.894 % of phosphatidylcholine's effect (OR: 2.925; beta: 1.073; 95 % CI: 1.752–4.884; <em>p</em> = 4.032E-05), attenuating the direct lipid-ECIS association. 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Genome-wide association analysis identified inflammatory mechanisms mediating the effects of lipid metabolism on endometrial carcinoma in situ
Background
While lipids and inflammation are recognized as key modulators of tumor progression, their causal interplay in endometrial carcinoma in situ (ECIS)—the precursor of endometrial cancer—remains mechanistically undefined. Despite broad associations between lipid metabolism and cancer, the specific pathways driving ECIS initiation through inflammatory mediators are unknown.
Method
We pioneer an integrative Mendelian randomization (MR) framework combining multivariable MR, Bayesian weighted MR (BWMR), and sensitivity analyses to address pleiotropy. This approach was systematically applied to 179 lipids and 91 inflammatory factors. Methodological novelty further includes mediation analysis quantifying inflammatory factors' role in lipid-ECIS pathways.
Results
First evidence reveals a phosphatidylcholine (O-18:0_16:1)-TNFSF12-ECIS axis: TNFSF12 mediates 4.894 % of phosphatidylcholine's effect (OR: 2.925; beta: 1.073; 95 % CI: 1.752–4.884; p = 4.032E-05), attenuating the direct lipid-ECIS association. This represents the inaugural demonstration of an inflammation-mediated lipid pathway in ECIS pathogenesis.
Conclusion
As the first MR study decoding lipid-ECIS causality, we establish the following:
1.
A paradigm-shifting methodology integrating Bayesian MR with mediation analysis for cancer etiology research.
2.
Clinically actionable biomarkers (phosphatidylcholine and TNFSF12) with dual diagnostic and therapeutic targeting potential.
3.
These advances provide a roadmap for intercepting ECIS progression through lipid-inflammatory axis modulation.
期刊介绍:
The Journal of Chromatography B publishes papers on developments in separation science relevant to biology and biomedical research including both fundamental advances and applications. Analytical techniques which may be considered include the various facets of chromatography, electrophoresis and related methods, affinity and immunoaffinity-based methodologies, hyphenated and other multi-dimensional techniques, and microanalytical approaches. The journal also considers articles reporting developments in sample preparation, detection techniques including mass spectrometry, and data handling and analysis.
Developments related to preparative separations for the isolation and purification of components of biological systems may be published, including chromatographic and electrophoretic methods, affinity separations, field flow fractionation and other preparative approaches.
Applications to the analysis of biological systems and samples will be considered when the analytical science contains a significant element of novelty, e.g. a new approach to the separation of a compound, novel combination of analytical techniques, or significantly improved analytical performance.