{"title":"与结直肠癌风险相关的靶向血浆脂质组学特征以及常见危险因素和颗粒物暴露的影响改变","authors":"Yuhan Zhou, Ming Fu, Xin Guan, Chenming Wang, Yang Xiao, Shiru Hong, Hui Zhao, Yuxi Wang, Chenliang Liu, Yingqian You, Guorong Zhong, Tianhao Wu, Shengli Chen, Yichi Zhang, Huan Guo","doi":"10.1002/ijc.35449","DOIUrl":null,"url":null,"abstract":"<p><p>The role of specific lipids in colorectal cancer (CRC) incidence remains unclear. We aimed to evaluate associations of plasma lipids with CRC risk and the modification effects of common risk factors and ambient particulate matter (PM) exposure. We conducted a nested case-control study within the Dongfeng-Tongji cohort, including 218 cases and 436 matched controls. Plasma levels of 155 lipids were determined by UPLC-MS/MS. The conditional logistic regression and LASSO regression identified nine lipids as potential CRC risk biomarkers. Specifically, triacylglycerol (TAG) 56:7 [20:4], cholesterol ester (CE) 20:2 (1), CE 22:5, lysophosphatidylethanolamine (LPE) 18:2, and sphingomyelin (SM) 32:2 were associated with decreased CRC risk (adjusted ORs per SD: 0.05-0.68), while LPE 18:0, diglycerol (DAG) 16:1/17:1, SM 38:1, and SM 34:0 were associated with increased CRC risk (ORs per SD: 1.60-6.19). Compared to the traditional factors, these lipids exerted improvement of 35.4% in area under the curve (AUC) discriminations for CRC (AUC = 0.972 vs. 0.618). Notably, the associations between specific lipids and CRC risk were modified by BMI (TAG 56:7 [20:4]), smoking (LPE 18:0, DAG 16:1/17:1), alcohol consumption (SM 32:2), healthy diet (TAG 56:7 [20:4]), and PM exposure (TAG 56:7 [20:4], DAG 16:1/17:1, SM 38:1, LPE 18:2) (all P<sub>interaction</sub> <0.05). Our study identified 9 plasma lipids with significant associations with CRC risk and underscored the effect modifications of common risk factors and PM exposure on these associations. These findings provide new insights into the links between specific lipids and CRC development.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Targeted plasma lipidomic profiles associated with colorectal cancer risk and effect modifications by common risk factors and particulate matter exposure.\",\"authors\":\"Yuhan Zhou, Ming Fu, Xin Guan, Chenming Wang, Yang Xiao, Shiru Hong, Hui Zhao, Yuxi Wang, Chenliang Liu, Yingqian You, Guorong Zhong, Tianhao Wu, Shengli Chen, Yichi Zhang, Huan Guo\",\"doi\":\"10.1002/ijc.35449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The role of specific lipids in colorectal cancer (CRC) incidence remains unclear. We aimed to evaluate associations of plasma lipids with CRC risk and the modification effects of common risk factors and ambient particulate matter (PM) exposure. We conducted a nested case-control study within the Dongfeng-Tongji cohort, including 218 cases and 436 matched controls. Plasma levels of 155 lipids were determined by UPLC-MS/MS. The conditional logistic regression and LASSO regression identified nine lipids as potential CRC risk biomarkers. Specifically, triacylglycerol (TAG) 56:7 [20:4], cholesterol ester (CE) 20:2 (1), CE 22:5, lysophosphatidylethanolamine (LPE) 18:2, and sphingomyelin (SM) 32:2 were associated with decreased CRC risk (adjusted ORs per SD: 0.05-0.68), while LPE 18:0, diglycerol (DAG) 16:1/17:1, SM 38:1, and SM 34:0 were associated with increased CRC risk (ORs per SD: 1.60-6.19). Compared to the traditional factors, these lipids exerted improvement of 35.4% in area under the curve (AUC) discriminations for CRC (AUC = 0.972 vs. 0.618). Notably, the associations between specific lipids and CRC risk were modified by BMI (TAG 56:7 [20:4]), smoking (LPE 18:0, DAG 16:1/17:1), alcohol consumption (SM 32:2), healthy diet (TAG 56:7 [20:4]), and PM exposure (TAG 56:7 [20:4], DAG 16:1/17:1, SM 38:1, LPE 18:2) (all P<sub>interaction</sub> <0.05). Our study identified 9 plasma lipids with significant associations with CRC risk and underscored the effect modifications of common risk factors and PM exposure on these associations. These findings provide new insights into the links between specific lipids and CRC development.</p>\",\"PeriodicalId\":180,\"journal\":{\"name\":\"International Journal of Cancer\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ijc.35449\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ijc.35449","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
特异性脂质在结直肠癌(CRC)发病率中的作用尚不清楚。我们的目的是评估血浆脂质与结直肠癌风险的关系,以及常见危险因素和环境颗粒物(PM)暴露的改变作用。我们在东风-同济队列中进行了巢式病例-对照研究,包括218例病例和436例匹配对照。采用UPLC-MS/MS法测定155种血脂的血浆水平。条件logistic回归和LASSO回归确定了9种脂质作为潜在的结直肠癌风险生物标志物。具体而言,三酰甘油(TAG) 56:7[20:4]、胆固醇酯(CE) 20:2(1)、CE 22:5、溶磷脂酰乙醇胺(LPE) 18:2和鞘磷脂(SM) 32:2与CRC风险降低相关(调整后的比值为0.05-0.68),而LPE 18:0、二甘油酯(DAG) 16:1/17:1、SM 38:1和SM 34:0与CRC风险增加相关(比值为1.60-6.19)。与传统因素相比,这些脂类对CRC的曲线下面积(AUC)判别提高了35.4% (AUC = 0.972 vs. 0.618)。值得注意的是,特定脂质与结直肠癌风险之间的关联被BMI (TAG 56:7[20:4])、吸烟(LPE 18:0, DAG 16:1/17:1)、饮酒(SM 32:2)、健康饮食(TAG 56:7[20:4])和PM暴露(TAG 56:7 [20:4], DAG 16:1/17:1, SM 38:1, LPE 18:2)(均为p相互作用)所改变
Targeted plasma lipidomic profiles associated with colorectal cancer risk and effect modifications by common risk factors and particulate matter exposure.
The role of specific lipids in colorectal cancer (CRC) incidence remains unclear. We aimed to evaluate associations of plasma lipids with CRC risk and the modification effects of common risk factors and ambient particulate matter (PM) exposure. We conducted a nested case-control study within the Dongfeng-Tongji cohort, including 218 cases and 436 matched controls. Plasma levels of 155 lipids were determined by UPLC-MS/MS. The conditional logistic regression and LASSO regression identified nine lipids as potential CRC risk biomarkers. Specifically, triacylglycerol (TAG) 56:7 [20:4], cholesterol ester (CE) 20:2 (1), CE 22:5, lysophosphatidylethanolamine (LPE) 18:2, and sphingomyelin (SM) 32:2 were associated with decreased CRC risk (adjusted ORs per SD: 0.05-0.68), while LPE 18:0, diglycerol (DAG) 16:1/17:1, SM 38:1, and SM 34:0 were associated with increased CRC risk (ORs per SD: 1.60-6.19). Compared to the traditional factors, these lipids exerted improvement of 35.4% in area under the curve (AUC) discriminations for CRC (AUC = 0.972 vs. 0.618). Notably, the associations between specific lipids and CRC risk were modified by BMI (TAG 56:7 [20:4]), smoking (LPE 18:0, DAG 16:1/17:1), alcohol consumption (SM 32:2), healthy diet (TAG 56:7 [20:4]), and PM exposure (TAG 56:7 [20:4], DAG 16:1/17:1, SM 38:1, LPE 18:2) (all Pinteraction <0.05). Our study identified 9 plasma lipids with significant associations with CRC risk and underscored the effect modifications of common risk factors and PM exposure on these associations. These findings provide new insights into the links between specific lipids and CRC development.
期刊介绍:
The International Journal of Cancer (IJC) is the official journal of the Union for International Cancer Control—UICC; it appears twice a month. IJC invites submission of manuscripts under a broad scope of topics relevant to experimental and clinical cancer research and publishes original Research Articles and Short Reports under the following categories:
-Cancer Epidemiology-
Cancer Genetics and Epigenetics-
Infectious Causes of Cancer-
Innovative Tools and Methods-
Molecular Cancer Biology-
Tumor Immunology and Microenvironment-
Tumor Markers and Signatures-
Cancer Therapy and Prevention