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整合多组学数据以揭示前列腺组织DNA甲基化生物标志物和前列腺癌风险的靶基因。

Integrating Multi-Omics Data to Uncover Prostate Tissue DNA Methylation Biomarkers and Target Genes for Prostate Cancer Risk.

作者信息

Liu Shuai, Zhu Jingjing, Green Dylan, Zhong Hua, Long Quan, Wu Chong, Wang Liang, Deng Youping, Wu Lang

机构信息

Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.

出版信息

Mol Carcinog. 2025 Jan;64(1):83-90. doi: 10.1002/mc.23828. Epub 2024 Oct 14.

Abstract

Previous studies have indicated that specific CpG sites may be linked to the risk of prostate cancer (PCa) by regulating the expression of PCa target genes. However, most existing studies aim to identify DNA methylation (DNAm) biomarkers through blood tissue genetic instruments, which impedes the identification of relevant biomarkers in prostate tissue. To identify PCa risk-associated CpG sites in prostate tissue, we established genetic prediction models of DNAm levels using data from normal prostate samples in the GTEx (N = 108) and assessed associations between genetically predicted DNAm in prostate and PCa risk by studying 122,188 cases and 604,640 controls. We observed significant associations for 3879 CpG sites, including 926 at novel genomic loci. Among them, DNAm levels of 80 CpG sites located at novel loci are significantly associated with expression levels of 45 neighboring genes in normal prostate tissue. Of these genes, 11 further exhibit significant associations with PCa risk for their predicted expression levels in prostate tissue. Intriguingly, a total of 31 CpG sites demonstrate consistent association patterns across the methylation-gene expression-PCa risk pathway. Our findings suggest that specific CpG sites may be related to PCa risk by modulating the expression of nearby target genes.

摘要

先前的研究表明,特定的CpG位点可能通过调节前列腺癌(PCa)靶基因的表达与前列腺癌风险相关。然而,大多数现有研究旨在通过血液组织遗传工具识别DNA甲基化(DNAm)生物标志物,这阻碍了前列腺组织中相关生物标志物的识别。为了识别前列腺组织中与PCa风险相关的CpG位点,我们利用GTEx中正常前列腺样本的数据(N = 108)建立了DNAm水平的遗传预测模型,并通过研究122188例病例和604640例对照,评估了前列腺中基因预测的DNAm与PCa风险之间的关联。我们观察到3879个CpG位点存在显著关联,其中包括926个位于新基因组位点的位点。其中,位于新位点的80个CpG位点的DNAm水平与正常前列腺组织中45个邻近基因的表达水平显著相关。在这些基因中,11个基因在前列腺组织中的预测表达水平与PCa风险进一步表现出显著关联。有趣的是,共有31个CpG位点在甲基化-基因表达-PCa风险途径中表现出一致的关联模式。我们的研究结果表明,特定的CpG位点可能通过调节附近靶基因的表达与PCa风险相关。

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