线粒体基因与结直肠癌的因果关系:一项多组学孟德尔随机研究。

IF 2.9 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Zhandong Zhang, Shuaibing Lu, Liangqun Peng, Fusheng Ge, Bin Zhang, Yonglei Zhang, Fei Ma, Yawei Hua, Xiaobing Chen, Wei Yang
{"title":"线粒体基因与结直肠癌的因果关系:一项多组学孟德尔随机研究。","authors":"Zhandong Zhang, Shuaibing Lu, Liangqun Peng, Fusheng Ge, Bin Zhang, Yonglei Zhang, Fei Ma, Yawei Hua, Xiaobing Chen, Wei Yang","doi":"10.1007/s12672-025-03699-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Colorectal cancer (CRC) is the leading cause of cancer-related morbidity and mortality globally. Despite the established link between mitochondrial dysfunction and various cancers, including CRC, the precise role of mitochondrial genes remains unclear. This study aimed to elucidate the influence of mitochondrial-related genes on CRC through a multi-omics approach.</p><p><strong>Methods: </strong>The MitoCarta3.0 database, methylation quantitative trait loci (mQTL), expression QTL (eQTL), and protein QTL (pQTL) data from multiple sources were utilized. CRC-related genetic data were obtained from the IEU OpenGWAS project and FinnGen database. The MR analysis employed five regression models. Integration of the results from three levels of gene regulation revealed significant associations between mitochondrial-related gene regulation and CRC.</p><p><strong>Results: </strong>We identified 21 genes that exhibit multi-omics evidence associated with CRC. Tier 1 gene PNKD showed significant associations with CRC across multiple omics levels. Tier 2 genes, RBFA, COX15, TXN2, and ACSF3, were linked to CRC at the mQTL-eQTL level. Sixteen tier 3 genes were also identified. A total of eight genes, including COX15, had been identified as potential therapeutic and drug targets. A total of eight genes, including COX15, had been identified as potential drug targets. Additionally, the final structures of the corresponding eight proteins and their respective drugs had been successfully determined.</p><p><strong>Conclusions: </strong>The multi-omics approach identified several mitochondrial-related genes significantly associated with CRC risk, providing new insights into the role of mitochondrial dysfunction in CRC pathogenesis, and potentially providing further investigation and future therapeutic strategies targeting mitochondrial pathways in CRC management.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"1864"},"PeriodicalIF":2.9000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12521712/pdf/","citationCount":"0","resultStr":"{\"title\":\"Causal association between mitochondrial genes and colorectal cancer: a multi-omics Mendelian randomization study.\",\"authors\":\"Zhandong Zhang, Shuaibing Lu, Liangqun Peng, Fusheng Ge, Bin Zhang, Yonglei Zhang, Fei Ma, Yawei Hua, Xiaobing Chen, Wei Yang\",\"doi\":\"10.1007/s12672-025-03699-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Colorectal cancer (CRC) is the leading cause of cancer-related morbidity and mortality globally. Despite the established link between mitochondrial dysfunction and various cancers, including CRC, the precise role of mitochondrial genes remains unclear. This study aimed to elucidate the influence of mitochondrial-related genes on CRC through a multi-omics approach.</p><p><strong>Methods: </strong>The MitoCarta3.0 database, methylation quantitative trait loci (mQTL), expression QTL (eQTL), and protein QTL (pQTL) data from multiple sources were utilized. CRC-related genetic data were obtained from the IEU OpenGWAS project and FinnGen database. The MR analysis employed five regression models. Integration of the results from three levels of gene regulation revealed significant associations between mitochondrial-related gene regulation and CRC.</p><p><strong>Results: </strong>We identified 21 genes that exhibit multi-omics evidence associated with CRC. Tier 1 gene PNKD showed significant associations with CRC across multiple omics levels. Tier 2 genes, RBFA, COX15, TXN2, and ACSF3, were linked to CRC at the mQTL-eQTL level. Sixteen tier 3 genes were also identified. A total of eight genes, including COX15, had been identified as potential therapeutic and drug targets. A total of eight genes, including COX15, had been identified as potential drug targets. Additionally, the final structures of the corresponding eight proteins and their respective drugs had been successfully determined.</p><p><strong>Conclusions: </strong>The multi-omics approach identified several mitochondrial-related genes significantly associated with CRC risk, providing new insights into the role of mitochondrial dysfunction in CRC pathogenesis, and potentially providing further investigation and future therapeutic strategies targeting mitochondrial pathways in CRC management.</p>\",\"PeriodicalId\":11148,\"journal\":{\"name\":\"Discover. Oncology\",\"volume\":\"16 1\",\"pages\":\"1864\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12521712/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discover. Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12672-025-03699-2\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover. Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12672-025-03699-2","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

目的:结直肠癌(CRC)是全球癌症相关发病率和死亡率的主要原因。尽管线粒体功能障碍与包括结直肠癌在内的各种癌症之间建立了联系,但线粒体基因的确切作用仍不清楚。本研究旨在通过多组学方法阐明线粒体相关基因对结直肠癌的影响。方法:利用MitoCarta3.0数据库,从多个来源获取甲基化数量性状位点(mQTL)、表达QTL (eQTL)和蛋白QTL (pQTL)数据。crc相关基因数据来自IEU OpenGWAS项目和FinnGen数据库。MR分析采用五种回归模型。整合三个水平基因调控的结果揭示了线粒体相关基因调控与CRC之间的显著关联。结果:我们鉴定出21个与结直肠癌相关的基因。一级基因PNKD在多个组学水平上显示出与结直肠癌的显著相关性。第2层基因RBFA、COX15、TXN2和ACSF3在mQTL-eQTL水平上与CRC相关。还鉴定出16个3层基因。包括COX15在内的8个基因已被确定为潜在的治疗和药物靶点。包括COX15在内的8个基因已被确定为潜在的药物靶点。此外,还成功地确定了相应的8种蛋白的最终结构及其各自的药物。结论:多组学方法确定了几个与CRC风险显著相关的线粒体相关基因,为线粒体功能障碍在CRC发病机制中的作用提供了新的见解,并有可能为CRC管理中针对线粒体途径的进一步研究和未来的治疗策略提供新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causal association between mitochondrial genes and colorectal cancer: a multi-omics Mendelian randomization study.

Objective: Colorectal cancer (CRC) is the leading cause of cancer-related morbidity and mortality globally. Despite the established link between mitochondrial dysfunction and various cancers, including CRC, the precise role of mitochondrial genes remains unclear. This study aimed to elucidate the influence of mitochondrial-related genes on CRC through a multi-omics approach.

Methods: The MitoCarta3.0 database, methylation quantitative trait loci (mQTL), expression QTL (eQTL), and protein QTL (pQTL) data from multiple sources were utilized. CRC-related genetic data were obtained from the IEU OpenGWAS project and FinnGen database. The MR analysis employed five regression models. Integration of the results from three levels of gene regulation revealed significant associations between mitochondrial-related gene regulation and CRC.

Results: We identified 21 genes that exhibit multi-omics evidence associated with CRC. Tier 1 gene PNKD showed significant associations with CRC across multiple omics levels. Tier 2 genes, RBFA, COX15, TXN2, and ACSF3, were linked to CRC at the mQTL-eQTL level. Sixteen tier 3 genes were also identified. A total of eight genes, including COX15, had been identified as potential therapeutic and drug targets. A total of eight genes, including COX15, had been identified as potential drug targets. Additionally, the final structures of the corresponding eight proteins and their respective drugs had been successfully determined.

Conclusions: The multi-omics approach identified several mitochondrial-related genes significantly associated with CRC risk, providing new insights into the role of mitochondrial dysfunction in CRC pathogenesis, and potentially providing further investigation and future therapeutic strategies targeting mitochondrial pathways in CRC management.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信