{"title":"Associations Between Lipid Traits and Breast Cancer Risk: A Mendelian Randomization Study in African Women","authors":"Emmanuel Owusu Ansah, Foster Kyei, Caleb Frimpong Opoku, Andrews Danquah, Kwadwo Fosu, Emmanuel Boateng Agyenim, Daniel Sakyi Agyirifo","doi":"10.1002/cam4.70928","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Blood lipids are implicated in the development of breast cancer (BC), though the genetic connection remains unclear, particularly in African populations. Observational studies on this topic are limited by confounding factors and reverse causation, potentially affecting the reliability of findings.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We applied univariate and multivariable two-sample Mendelian randomization to assess the causal association between blood lipids (total cholesterol [TC], high-density lipoprotein [HDL], low-density lipoprotein [LDL], and triglycerides [TG]) and BC. Summary-level data for lipid traits were sourced from the Africa Wits-INDEPTH partnership for Genomic Research (AWI-Gen) (<i>N</i> = 10,603 women). BC data were obtained from the largest genome-wide association study of BC in African women, comprising 18,034 <span>BC</span> cases and 22,104 controls.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Our analysis revealed that genetically predicted TG was associated with a decreased BC risk (OR = 0.73, 95% CI = 0.56–0.95, <i>p</i> = 0.018. In contrast, no significant associations were found between TC, HDL, or LDL levels and BC risk: TC (OR = 1.04, 95% CI = 0.93–1.18, <i>p</i> = 0.467), HDL (OR = 1.29, 95% CI = 0.93–1.79, <i>p</i> = 0.121), and LDL (OR = 1.04, 95% CI = 0.90–1.20, <i>p</i> = 0.577). After adjusting for the effects of other lipid traits, the association between TG and BC was attenuated, and no associations were observed for TC, HDL, or LDL. No causal relationship was found between lipid traits and BC subtypes.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study provides evidence that elevated triglycerides may be associated with a reduced risk of BC, whereas no significant associations were observed for TC, HDL, or LDL. Further research is needed to better understand the underlying mechanisms and potential clinical implications of these findings.</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"14 9","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.70928","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cam4.70928","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Blood lipids are implicated in the development of breast cancer (BC), though the genetic connection remains unclear, particularly in African populations. Observational studies on this topic are limited by confounding factors and reverse causation, potentially affecting the reliability of findings.
Methods
We applied univariate and multivariable two-sample Mendelian randomization to assess the causal association between blood lipids (total cholesterol [TC], high-density lipoprotein [HDL], low-density lipoprotein [LDL], and triglycerides [TG]) and BC. Summary-level data for lipid traits were sourced from the Africa Wits-INDEPTH partnership for Genomic Research (AWI-Gen) (N = 10,603 women). BC data were obtained from the largest genome-wide association study of BC in African women, comprising 18,034 BC cases and 22,104 controls.
Results
Our analysis revealed that genetically predicted TG was associated with a decreased BC risk (OR = 0.73, 95% CI = 0.56–0.95, p = 0.018. In contrast, no significant associations were found between TC, HDL, or LDL levels and BC risk: TC (OR = 1.04, 95% CI = 0.93–1.18, p = 0.467), HDL (OR = 1.29, 95% CI = 0.93–1.79, p = 0.121), and LDL (OR = 1.04, 95% CI = 0.90–1.20, p = 0.577). After adjusting for the effects of other lipid traits, the association between TG and BC was attenuated, and no associations were observed for TC, HDL, or LDL. No causal relationship was found between lipid traits and BC subtypes.
Conclusions
This study provides evidence that elevated triglycerides may be associated with a reduced risk of BC, whereas no significant associations were observed for TC, HDL, or LDL. Further research is needed to better understand the underlying mechanisms and potential clinical implications of these findings.
期刊介绍:
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.