{"title":"Mendelian randomization and transcriptomic analysis reveal a positive cause-and-effect relationship between Alzheimer's disease and colorectal cancer","authors":"Wei Du , Xueming Xia , Qiheng Gou , Yan Qiu","doi":"10.1016/j.tranon.2024.102169","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>This study addresses the complex multifactorial causes of Alzheimer's disease (AD) and colorectal cancer (CRC), two significant public health issues. Despite previous research, the precise relationship between AD and CRC remains unclear. This study aimed to explore the potential causal relationship between AD and CRC using Mendelian randomization (MR) and to identify risk genes through colocalization and transcriptomic analyses.</div></div><div><h3>Method</h3><div>The study used a two-sample Mendelian randomization (MR) approach to investigate the causal effect of AD on CRC. Genome-wide association study (GWAS) summary statistics for AD and CRC were utilized. Colocalization analysis was conducted to identify risk genes associated with AD, which were then validated through transcriptomic analysis in CRC samples. The study used GWAS data from a cohort of European patients and applied several MR methods, including MR Egger, weighted median, and inverse-variance weighted approaches, to ensure robust findings.</div></div><div><h3>Results</h3><div>The MR analysis revealed a significant positive causal relationship between AD and CRC, indicating that an increased genetic predisposition to AD is associated with a elevated risk of developing CRC. The colocalization analysis identified <em>COLEC11</em> as a significant risk gene for AD, which also showed a strong positive correlation with clinical features and survival outcomes in CRC. Elevated <em>COLEC11</em> expression was linked to advanced clinical stages, increased tumor mutational burden, microsatellite instability, and poorer overall survival in CRC patients.</div></div><div><h3>Conclusions</h3><div>This study provides evidence of a causal relationship between AD and CRC, suggesting that shared genetic and inflammatory pathways may underlie both conditions. The identification of <em>COLEC11</em> as a potential link between AD and CRC offers new avenues for research and therapeutic interventions. These findings contribute to a deeper understanding of the interplay between neurodegenerative and oncologic diseases, highlighting the importance of exploring common pathogenic mechanisms.</div></div>","PeriodicalId":48975,"journal":{"name":"Translational Oncology","volume":"51 ","pages":"Article 102169"},"PeriodicalIF":5.0000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S193652332400295X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background
This study addresses the complex multifactorial causes of Alzheimer's disease (AD) and colorectal cancer (CRC), two significant public health issues. Despite previous research, the precise relationship between AD and CRC remains unclear. This study aimed to explore the potential causal relationship between AD and CRC using Mendelian randomization (MR) and to identify risk genes through colocalization and transcriptomic analyses.
Method
The study used a two-sample Mendelian randomization (MR) approach to investigate the causal effect of AD on CRC. Genome-wide association study (GWAS) summary statistics for AD and CRC were utilized. Colocalization analysis was conducted to identify risk genes associated with AD, which were then validated through transcriptomic analysis in CRC samples. The study used GWAS data from a cohort of European patients and applied several MR methods, including MR Egger, weighted median, and inverse-variance weighted approaches, to ensure robust findings.
Results
The MR analysis revealed a significant positive causal relationship between AD and CRC, indicating that an increased genetic predisposition to AD is associated with a elevated risk of developing CRC. The colocalization analysis identified COLEC11 as a significant risk gene for AD, which also showed a strong positive correlation with clinical features and survival outcomes in CRC. Elevated COLEC11 expression was linked to advanced clinical stages, increased tumor mutational burden, microsatellite instability, and poorer overall survival in CRC patients.
Conclusions
This study provides evidence of a causal relationship between AD and CRC, suggesting that shared genetic and inflammatory pathways may underlie both conditions. The identification of COLEC11 as a potential link between AD and CRC offers new avenues for research and therapeutic interventions. These findings contribute to a deeper understanding of the interplay between neurodegenerative and oncologic diseases, highlighting the importance of exploring common pathogenic mechanisms.
期刊介绍:
Translational Oncology publishes the results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of oncology patients. Translational Oncology will publish laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer. Peer reviewed manuscript types include Original Reports, Reviews and Editorials.