Suppr超能文献

甲基化分析确定了前列腺癌中包括OPCML和FLRT2在内的新型差异甲基化标志物。

Methylation profiling identified novel differentially methylated markers including OPCML and FLRT2 in prostate cancer.

作者信息

Wu Yu, Davison Jerry, Qu Xiaoyu, Morrissey Colm, Storer Barry, Brown Lisha, Vessella Robert, Nelson Peter, Fang Min

机构信息

a Fred Hutchinson Cancer Research Center , Seattle , WA.

b University of Washington , Seattle , WA.

出版信息

Epigenetics. 2016 Apr 2;11(4):247-58. doi: 10.1080/15592294.2016.1148867. Epub 2016 Feb 18.

Abstract

To develop new methods to distinguish indolent from aggressive prostate cancers (PCa), we utilized comprehensive high-throughput array-based relative methylation (CHARM) assay to identify differentially methylated regions (DMRs) throughout the genome, including both CpG island (CGI) and non-CGI regions in PCa patients based on Gleason grade. Initially, 26 samples, including 8 each of low [Gleason score (GS) 6] and high (GS ≥7) grade PCa samples and 10 matched normal prostate tissues, were analyzed as a discovery cohort. We identified 3,567 DMRs between normal and cancer tissues, and 913 DMRs distinguishing low from high-grade cancers. Most of these DMRs were located at CGI shores. The top 5 candidate DMRs from the low vs. high Gleason comparison, including OPCML, ELAVL2, EXT1, IRX5, and FLRT2, were validated by pyrosequencing using the discovery cohort. OPCML and FLRT2 were further validated in an independent cohort consisting of 20 low-Gleason and 33 high-Gleason tissues. We then compared patients with biochemical recurrence (n=70) vs. those without (n=86) in a third cohort, and they showed no difference in methylation at these DMR loci. When GS 3+4 cases and GS 4+3 cases were compared, OPCML-DMR methylation showed a trend of lower methylation in the recurrence group (n=30) than in the no-recurrence (n=52) group. We conclude that whole-genome methylation profiling with CHARM revealed distinct patterns of differential DNA methylation between normal prostate and PCa tissues, as well as between different risk groups of PCa as defined by Gleason scores. A panel of selected DMRs may serve as novel surrogate biomarkers for Gleason score in PCa.

摘要

为了开发区分惰性与侵袭性前列腺癌(PCa)的新方法,我们利用基于芯片的全基因组相对甲基化综合分析(CHARM)来识别整个基因组中差异甲基化区域(DMRs),包括基于Gleason分级的PCa患者中的CpG岛(CGI)和非CGI区域。最初,对26个样本进行分析作为发现队列,其中包括8个低[Gleason评分(GS)6]和高(GS≥7)分级PCa样本以及10个匹配的正常前列腺组织。我们在正常组织和癌组织之间鉴定出3567个DMRs,以及913个区分低级别和高级别癌症的DMRs。这些DMRs大多位于CGI边缘。通过焦磷酸测序利用发现队列对Gleason低分级与高分级比较中的前5个候选DMRs(包括OPCML、ELAVL2、EXT1、IRX5和FLRT2)进行了验证。OPCML和FLRT2在一个由20个低Gleason组织和33个高Gleason组织组成的独立队列中进一步得到验证。然后,我们在第三个队列中比较了生化复发患者(n = 70)和未复发患者(n = 86),发现这些DMR位点的甲基化没有差异。当比较GS 3 + 4病例和GS 4 + 3病例时,OPCML - DMR甲基化在复发组(n = 30)中显示出比未复发组(n = 52)中更低甲基化的趋势。我们得出结论,CHARM全基因组甲基化分析揭示了正常前列腺组织与PCa组织之间以及由Gleason评分定义的不同PCa风险组之间不同的DNA甲基化差异模式。一组选定的DMRs可能作为PCa中Gleason评分的新型替代生物标志物。

相似文献

1
Methylation profiling identified novel differentially methylated markers including OPCML and FLRT2 in prostate cancer.
Epigenetics. 2016 Apr 2;11(4):247-58. doi: 10.1080/15592294.2016.1148867. Epub 2016 Feb 18.
3
Epigenetic signature of Gleason score and prostate cancer recurrence after radical prostatectomy.
Clin Epigenetics. 2016 Sep 15;8:97. doi: 10.1186/s13148-016-0260-z. eCollection 2016.
7
Random forest-based modelling to detect biomarkers for prostate cancer progression.
Clin Epigenetics. 2019 Oct 22;11(1):148. doi: 10.1186/s13148-019-0736-8.
8
Epigenomic profiling of DNA methylation in paired prostate cancer versus adjacent benign tissue.
Prostate. 2015 Dec;75(16):1941-50. doi: 10.1002/pros.23093. Epub 2015 Sep 18.
9
Deep sequencing reveals distinct patterns of DNA methylation in prostate cancer.
Genome Res. 2011 Jul;21(7):1028-41. doi: 10.1101/gr.119347.110.

引用本文的文献

1
Multiple highly methylated CpG sites as potential epigenetic markers for the diagnosis of prostate cancer.
Clin Epigenetics. 2025 Jul 11;17(1):122. doi: 10.1186/s13148-025-01930-z.
2
The NEDD4/FLRT2 axis regulates NSCLC cell stemness.
Front Pharmacol. 2024 Oct 9;15:1459978. doi: 10.3389/fphar.2024.1459978. eCollection 2024.
4
MicroRNAs Associated with IgLON Cell Adhesion Molecule Expression.
Curr Issues Mol Biol. 2024 Jul 19;46(7):7702-7718. doi: 10.3390/cimb46070456.
5
Fibronectin leucine-rich transmembrane protein 2 drives monocyte differentiation into macrophages the UNC5B-Akt/mTOR axis.
Front Immunol. 2023 Apr 6;14:1162004. doi: 10.3389/fimmu.2023.1162004. eCollection 2023.
9
Exerts Antitumor Effects in Cholangiocarcinoma AXL/STAT3 Inactivation and Rho GTPase Down-regulation.
Cancer Genomics Proteomics. 2021 Nov-Dec;18(6):771-780. doi: 10.21873/cgp.20296.
10
Tumor Expression Profile Analysis Developed and Validated a Prognostic Model Based on Immune-Related Genes in Bladder Cancer.
Front Genet. 2021 Aug 27;12:696912. doi: 10.3389/fgene.2021.696912. eCollection 2021.

本文引用的文献

1
The epigenetics of prostate cancer diagnosis and prognosis: update on clinical applications.
Curr Opin Urol. 2015 Jan;25(1):83-8. doi: 10.1097/MOU.0000000000000132.
2
Prognostic DNA methylation markers for prostate cancer.
Int J Mol Sci. 2014 Sep 18;15(9):16544-76. doi: 10.3390/ijms150916544.
6
Identification of novel DNA-methylated genes that correlate with human prostate cancer and high-grade prostatic intraepithelial neoplasia.
Prostate Cancer Prostatic Dis. 2013 Dec;16(4):292-300. doi: 10.1038/pcan.2013.21. Epub 2013 Jul 30.
7
Methylation markers for prostate cancer prognosis: a systematic review.
Cancer Causes Control. 2013 Sep;24(9):1615-41. doi: 10.1007/s10552-013-0249-2.
8
Genomic profiling defines subtypes of prostate cancer with the potential for therapeutic stratification.
Clin Cancer Res. 2013 Aug 1;19(15):4058-66. doi: 10.1158/1078-0432.CCR-12-3606. Epub 2013 May 23.
9
A novel four-color fluorescence in situ hybridization assay for the detection of TMPRSS2 and ERG rearrangements in prostate cancer.
Cancer Genet. 2013 Jan-Feb;206(1-2):1-11. doi: 10.1016/j.cancergen.2012.12.004. Epub 2013 Jan 24.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验