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本文引用的文献

1
Identification and Characterization of Alternatively Spliced Transcript Isoforms of in Prostate Cancer.鉴定和分析前列腺癌中 基因的可变剪接转录本异构体。
Genes (Basel). 2021 Apr 21;12(5):615. doi: 10.3390/genes12050615.
2
DNA Methylation in Ovarian Tumors-a Comparison Between Fresh Tissue and FFPE Samples.卵巢肿瘤中的 DNA 甲基化——新鲜组织与 FFPE 样本的比较。
Reprod Sci. 2021 Nov;28(11):3212-3218. doi: 10.1007/s43032-021-00589-0. Epub 2021 Apr 23.
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Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.泛种族全基因组关联荟萃分析前列腺癌确定新的易感性位点并为遗传风险预测提供信息。
Nat Genet. 2021 Jan;53(1):65-75. doi: 10.1038/s41588-020-00748-0. Epub 2021 Jan 4.
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The prognostic value of serum MMP-7 levels in prostate cancer patients who received docetaxel, abiraterone, or enzalutamide therapy.血清 MMP-7 水平对接受多西他赛、阿比特龙或恩杂鲁胺治疗的前列腺癌患者的预后价值。
Urol Oncol. 2021 May;39(5):296.e11-296.e19. doi: 10.1016/j.urolonc.2020.09.005. Epub 2020 Oct 9.
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The GTEx Consortium atlas of genetic regulatory effects across human tissues.GTEx 联盟人类组织遗传调控效应图谱
Science. 2020 Sep 11;369(6509):1318-1330. doi: 10.1126/science.aaz1776.
6
Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx.混合和祖先对 GTEx 中 eQTL 分析和 GWAS 共定位的影响。
Genome Biol. 2020 Sep 11;21(1):233. doi: 10.1186/s13059-020-02113-0.
7
Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.基于 14 种癌症常见变异的多基因结构评估和风险预测。
Nat Commun. 2020 Jul 3;11(1):3353. doi: 10.1038/s41467-020-16483-3.
8
Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses.在共定位分析中引出先验信息并放宽单一因果变异假设。
PLoS Genet. 2020 Apr 20;16(4):e1008720. doi: 10.1371/journal.pgen.1008720. eCollection 2020 Apr.
9
DNA methylation and cis-regulation of gene expression by prostate cancer risk SNPs.DNA 甲基化和前列腺癌风险单核苷酸多态性对基因表达的顺式调控。
PLoS Genet. 2020 Mar 30;16(3):e1008667. doi: 10.1371/journal.pgen.1008667. eCollection 2020 Mar.
10
Prostate cancer risk SNP rs10993994 is a trans-eQTL for SNHG11 mediated through MSMB.前列腺癌风险 SNP rs10993994 是通过 MSMB 介导的 SNHG11 的跨表达数量性状基因座。
Hum Mol Genet. 2020 Jun 27;29(10):1581-1591. doi: 10.1093/hmg/ddaa026.

遗传性遗传变异对非裔美国人和欧洲裔美国男性前列腺癌和良性组织中 DNA 甲基化的影响。

The Impact of Inherited Genetic Variation on DNA Methylation in Prostate Cancer and Benign Tissues of African American and European American Men.

机构信息

Department of Public Health Sciences, University of Chicago, Chicago, Illinois.

Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.

出版信息

Cancer Epidemiol Biomarkers Prev. 2024 Apr 3;33(4):557-566. doi: 10.1158/1055-9965.EPI-23-0849.

DOI:10.1158/1055-9965.EPI-23-0849
PMID:38294689
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10990789/
Abstract

BACKGROUND

American men of African ancestry (AA) have higher prostate cancer incidence and mortality rates compared with American men of European ancestry (EA). Differences in genetic susceptibility mechanisms may contribute to this disparity.

METHODS

To gain insights into the regulatory mechanisms of prostate cancer susceptibility variants, we tested the association between SNPs and DNA methylation (DNAm) at nearby CpG sites across the genome in benign and cancer prostate tissue from 74 AA and 74 EA men. Genome-wide SNP data (from benign tissue) and DNAm were generated using Illumina arrays.

RESULTS

Among AA men, we identified 6,298 and 2,641 cis-methylation QTLs (meQTL; FDR of 0.05) in benign and tumor tissue, respectively, with 6,960 and 1,700 detected in EA men. We leveraged genome-wide association study (GWAS) summary statistics to identify previously reported prostate cancer GWAS signals likely to share a common causal variant with a detected meQTL. We identified nine GWAS-meQTL pairs with strong evidence of colocalization (four in EA benign, three in EA tumor, two in AA benign, and three in AA tumor). Among these colocalized GWAS-meQTL pairs, we identified colocalizing expression quantitative trait loci (eQTL) impacting four eGenes with known roles in tumorigenesis.

CONCLUSIONS

These findings highlight epigenetic regulatory mechanisms by which prostate cancer-risk SNPs can modify local DNAm and/or gene expression in prostate tissue.

IMPACT

Overall, our findings showed general consistency in the meQTL landscape of AA and EA men, but meQTLs often differ by tissue type (normal vs. cancer). Ancestry-based linkage disequilibrium differences and lack of AA representation in GWAS decrease statistical power to detect colocalization for some regions.

摘要

背景

与欧洲裔美国人(EA)相比,非裔美国人(AA)的前列腺癌发病率和死亡率更高。遗传易感性机制的差异可能导致这种差异。

方法

为了深入了解前列腺癌易感性变异的调控机制,我们在 74 名 AA 男性和 74 名 EA 男性的良性和癌组织中测试了 SNP 与全基因组附近 CpG 位点 DNA 甲基化(DNAm)之间的关联。使用 Illumina 阵列生成全基因组 SNP 数据(来自良性组织)和 DNAm。

结果

在 AA 男性中,我们分别在良性和肿瘤组织中鉴定出 6,298 个和 2,641 个顺式甲基化 QTL(meQTL;FDR 为 0.05),而在 EA 男性中分别检测到 6,960 个和 1,700 个。我们利用全基因组关联研究(GWAS)汇总统计数据来识别以前报道的与检测到的 meQTL 具有共同因果变异的前列腺癌 GWAS 信号。我们鉴定出 9 个具有强烈共定位证据的 GWAS-meQTL 对(4 个在 EA 良性,3 个在 EA 肿瘤,2 个在 AA 良性,3 个在 AA 肿瘤)。在这些共定位的 GWAS-meQTL 对中,我们鉴定出了影响四个已知在肿瘤发生中具有作用的 eGenes 的共定位表达数量性状基因座(eQTL)。

结论

这些发现强调了前列腺癌风险 SNP 可以修饰前列腺组织中局部 DNAm 和/或基因表达的表观遗传调控机制。

影响

总的来说,我们的研究结果表明 AA 和 EA 男性的 meQTL 图谱具有总体一致性,但 meQTL 通常因组织类型(正常与癌症)而异。基于祖源的连锁不平衡差异和 GWAS 中缺乏 AA 代表性降低了某些区域共定位检测的统计能力。