Associations Between Lipid Traits and Breast Cancer Risk: A Mendelian Randomization Study in African Women

IF 2.9 2区 医学 Q2 ONCOLOGY
Cancer Medicine Pub Date : 2025-05-02 DOI:10.1002/cam4.70928
Emmanuel Owusu Ansah, Foster Kyei, Caleb Frimpong Opoku, Andrews Danquah, Kwadwo Fosu, Emmanuel Boateng Agyenim, Daniel Sakyi Agyirifo
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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.

Abstract Image

脂质特征与乳腺癌风险之间的关系:非洲妇女的孟德尔随机研究
血脂与乳腺癌(BC)的发展有关,尽管遗传关系尚不清楚,特别是在非洲人群中。关于这一主题的观察性研究受到混杂因素和反向因果关系的限制,可能影响研究结果的可靠性。方法采用单变量和多变量双样本孟德尔随机化方法评估血脂(总胆固醇[TC]、高密度脂蛋白[HDL]、低密度脂蛋白[LDL]和甘油三酯[TG])与BC之间的因果关系。脂质性状的概要数据来自非洲智慧-深度基因组研究伙伴关系(AWI-Gen) (N = 10,603名妇女)。BC数据来自非洲妇女中最大的BC全基因组关联研究,包括18034例BC病例和22104例对照。结果我们的分析显示,基因预测TG与降低BC风险相关(OR = 0.73, 95% CI = 0.56-0.95, p = 0.018)。相比之下,TC、HDL或LDL水平与BC风险之间未发现显著关联: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)和LDL (or = 1.04, 95% CI = 0.90-1.20, p = 0.577)。在调整了其他脂质性状的影响后,TG和BC之间的关联减弱,TC、HDL和LDL之间没有关联。脂质性状与BC亚型之间没有因果关系。结论:本研究提供的证据表明,甘油三酯升高可能与降低BC风险相关,而TC、HDL或LDL没有明显的相关性。需要进一步的研究来更好地了解这些发现的潜在机制和潜在的临床意义。
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
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.
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