Wing Ching Chan, Lili Liu, Emmanouil Bouras, Verena Zuber, Wanqing Wen, Jirong Long, Dipender Gill, Neil Murphy, Marc J Gunter, Themistocles L Assimes, Luis Bujanda, Stephen B Gruber, Sébastien Küry, Brigid M Lynch, Conghui Qu, Minta Thomas, Emily White, Michael O Woods, Ulrike Peters, Christopher I Li, Andrew T Chan, Hermann Brenner, Konstantinos K Tsilidis, Wei Zheng
{"title":"血脂和降低低密度脂蛋白胆固醇药物靶点与结直肠癌风险的关系:孟德尔随机研究。","authors":"Wing Ching Chan, Lili Liu, Emmanouil Bouras, Verena Zuber, Wanqing Wen, Jirong Long, Dipender Gill, Neil Murphy, Marc J Gunter, Themistocles L Assimes, Luis Bujanda, Stephen B Gruber, Sébastien Küry, Brigid M Lynch, Conghui Qu, Minta Thomas, Emily White, Michael O Woods, Ulrike Peters, Christopher I Li, Andrew T Chan, Hermann Brenner, Konstantinos K Tsilidis, Wei Zheng","doi":"10.1038/s41416-024-02900-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Whether blood lipids are causally associated with colorectal cancer (CRC) risk remains unclear.</p><p><strong>Methods: </strong>Using two-sample Mendelian randomisation (MR), our study examined the associations of genetically-predicted blood concentrations of lipids and lipoproteins (primary: LDL-C, HDL-C, triglycerides, and total cholesterol), and genetically-proxied inhibition of HMGCR, NPC1L1, and PCSK9 (which mimic therapeutic effects of LDL-lowering drugs), with risks of CRC and its subsites. Genetic associations with lipids were obtained from the Global Lipids Genetics Consortium (n = 1,320,016), while genetic associations with CRC were obtained from the largest existing CRC consortium (n = 58,221 cases and 67,694 controls). Our main analysis was a multivariable MR (MVMR) with mutual adjustments for LDL-C, HDL-C, and triglycerides. Secondary analyses, including MVMR additionally-adjusting for BMI or diabetes, were also performed.</p><p><strong>Results: </strong>Genetically-predicted LDL-C was positively associated with CRC risk in the MVMR adjusted for HDL-C and triglycerides (OR = 1.09; 95%CI 1.02-1.16 per SD increase) and additionally-adjusted for BMI (OR = 1.12; 95%CI 1.05-1.21) or diabetes (OR = 1.09; 95%CI 1.02-1.17). Associations were generally consistent across anatomical subsites. No clear evidence of association was found for other lipids, lipoproteins, or LDL-lowering drug-targets.</p><p><strong>Conclusions: </strong>We found evidence of a weak positive association between LDL-C and CRC that did not appear to be explained by potential pleiotropic pathways such as via HDL-C, triglycerides, BMI, or diabetes.</p>","PeriodicalId":9243,"journal":{"name":"British Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":6.4000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations of blood lipids and LDL cholesterol lowering drug-targets with colorectal cancer risk: a Mendelian randomisation study.\",\"authors\":\"Wing Ching Chan, Lili Liu, Emmanouil Bouras, Verena Zuber, Wanqing Wen, Jirong Long, Dipender Gill, Neil Murphy, Marc J Gunter, Themistocles L Assimes, Luis Bujanda, Stephen B Gruber, Sébastien Küry, Brigid M Lynch, Conghui Qu, Minta Thomas, Emily White, Michael O Woods, Ulrike Peters, Christopher I Li, Andrew T Chan, Hermann Brenner, Konstantinos K Tsilidis, Wei Zheng\",\"doi\":\"10.1038/s41416-024-02900-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Whether blood lipids are causally associated with colorectal cancer (CRC) risk remains unclear.</p><p><strong>Methods: </strong>Using two-sample Mendelian randomisation (MR), our study examined the associations of genetically-predicted blood concentrations of lipids and lipoproteins (primary: LDL-C, HDL-C, triglycerides, and total cholesterol), and genetically-proxied inhibition of HMGCR, NPC1L1, and PCSK9 (which mimic therapeutic effects of LDL-lowering drugs), with risks of CRC and its subsites. Genetic associations with lipids were obtained from the Global Lipids Genetics Consortium (n = 1,320,016), while genetic associations with CRC were obtained from the largest existing CRC consortium (n = 58,221 cases and 67,694 controls). Our main analysis was a multivariable MR (MVMR) with mutual adjustments for LDL-C, HDL-C, and triglycerides. Secondary analyses, including MVMR additionally-adjusting for BMI or diabetes, were also performed.</p><p><strong>Results: </strong>Genetically-predicted LDL-C was positively associated with CRC risk in the MVMR adjusted for HDL-C and triglycerides (OR = 1.09; 95%CI 1.02-1.16 per SD increase) and additionally-adjusted for BMI (OR = 1.12; 95%CI 1.05-1.21) or diabetes (OR = 1.09; 95%CI 1.02-1.17). Associations were generally consistent across anatomical subsites. No clear evidence of association was found for other lipids, lipoproteins, or LDL-lowering drug-targets.</p><p><strong>Conclusions: </strong>We found evidence of a weak positive association between LDL-C and CRC that did not appear to be explained by potential pleiotropic pathways such as via HDL-C, triglycerides, BMI, or diabetes.</p>\",\"PeriodicalId\":9243,\"journal\":{\"name\":\"British Journal of Cancer\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":6.4000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British Journal of Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41416-024-02900-7\",\"RegionNum\":1,\"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":"British Journal of Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41416-024-02900-7","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Associations of blood lipids and LDL cholesterol lowering drug-targets with colorectal cancer risk: a Mendelian randomisation study.
Background: Whether blood lipids are causally associated with colorectal cancer (CRC) risk remains unclear.
Methods: Using two-sample Mendelian randomisation (MR), our study examined the associations of genetically-predicted blood concentrations of lipids and lipoproteins (primary: LDL-C, HDL-C, triglycerides, and total cholesterol), and genetically-proxied inhibition of HMGCR, NPC1L1, and PCSK9 (which mimic therapeutic effects of LDL-lowering drugs), with risks of CRC and its subsites. Genetic associations with lipids were obtained from the Global Lipids Genetics Consortium (n = 1,320,016), while genetic associations with CRC were obtained from the largest existing CRC consortium (n = 58,221 cases and 67,694 controls). Our main analysis was a multivariable MR (MVMR) with mutual adjustments for LDL-C, HDL-C, and triglycerides. Secondary analyses, including MVMR additionally-adjusting for BMI or diabetes, were also performed.
Results: Genetically-predicted LDL-C was positively associated with CRC risk in the MVMR adjusted for HDL-C and triglycerides (OR = 1.09; 95%CI 1.02-1.16 per SD increase) and additionally-adjusted for BMI (OR = 1.12; 95%CI 1.05-1.21) or diabetes (OR = 1.09; 95%CI 1.02-1.17). Associations were generally consistent across anatomical subsites. No clear evidence of association was found for other lipids, lipoproteins, or LDL-lowering drug-targets.
Conclusions: We found evidence of a weak positive association between LDL-C and CRC that did not appear to be explained by potential pleiotropic pathways such as via HDL-C, triglycerides, BMI, or diabetes.
期刊介绍:
The British Journal of Cancer is one of the most-cited general cancer journals, publishing significant advances in translational and clinical cancer research.It also publishes high-quality reviews and thought-provoking comment on all aspects of cancer prevention,diagnosis and treatment.