Epigenome-wide association study of prostate cancer in African American men identified differentially methylated genes

IF 2.9 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2024-08-20 DOI:10.1002/cam4.70044
Anders Berglund, Kosj Yamoah, Steven A. Eschrich, Rana Falahat, James J. Mulé, Sungjune Kim, Jaime Matta, Julie Dutil, Gilberto Ruiz-Deya, Carmen Ortiz Sanchez, Liang Wang, Hyun Park, Hirendra N. Banerjee, Tamara Lotan, Kathryn Hughes Barry, Ryan M. Putney, Seung Joon Kim, Clement Gwede, Jacob K. Kresovich, Youngchul Kim, Hui-Yi Lin, Jasreman Dhillon, Ratna Chakrabarti, Jong Y. Park
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Abstract

Introduction

Men with African ancestry have the highest incidence and mortality rates of prostate cancer (PCa) worldwide.

Methods

This study aimed to identify differentially methylated genes between tumor vs. adjacent normal and aggressive vs. indolent PCa in 121 African American patients. Epigenome-wide DNA methylation patterns in tumor DNA were assessed using the human Illumina Methylation EPIC V1 array.

Results

Around 5,139 differentially methylated CpG-sites (q < 0.01, lΔβl > 0.2) were identified when comparing normal vs. tumor, with an overall trend of hypermethylation in prostate tumors.  Multiple representative differentially methylated regions (DMRs), including immune-related genes, such as CD40, Galectin3, OX40L, and STING, were detected in prostate tumors when compared to adjacent normal tissues. Based on an epigenetic clock model, we observed that tumors’ total number of stem cell divisions and the stem cell division rate were significantly higher than adjacent normal tissues. Regarding PCa aggressiveness, 2,061 differentially methylated CpG-sites (q < 0.05, lΔβl > .05) were identified when the grade group (GG)1 was compared with GG4/5. Among these 2,061 CpG sites, 155 probes were consistently significant in more than one comparison. Among these genes, several immune system genes, such as COL18A1, S100A2, ITGA4, HLA-C, and ADCYAP1, have previously been linked to tumor progression in PCa.

Conclusion

Several differentially methylated genes involved in immune-oncologic pathways associated with disease risk or aggressiveness were identified. In addition, 261 African American-specific differentially methylated genes related to the risk of PCa were identified. These results can shedlight on potential mechanisms contributing to PCa disparities in the African American Population.

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非裔美国男性前列腺癌表观基因组关联研究发现了不同的甲基化基因。
引言具有非洲血统的男性是全球前列腺癌(PCa)发病率和死亡率最高的人群:本研究旨在确定121名非洲裔美国人患者中肿瘤与邻近正常组织之间以及侵袭性与非侵袭性PCa之间的不同甲基化基因。使用人类 Illumina 甲基化 EPIC V1 阵列评估了肿瘤 DNA 表观基因组范围内的 DNA 甲基化模式:结果:在比较正常与肿瘤时,发现了约 5,139 个不同的甲基化 CpG 位点(q 0.2),前列腺肿瘤的总体趋势是高甲基化。 与邻近的正常组织相比,前列腺肿瘤中检测到多个具有代表性的差异甲基化区域(DMRs),包括免疫相关基因,如CD40、Galectin3、OX40L和STING。基于表观遗传时钟模型,我们观察到肿瘤干细胞分裂总数和干细胞分裂率明显高于邻近的正常组织。关于 PCa 的侵袭性,当等级组(GG)1 与 GG4/5 相比时,我们发现了 2,061 个不同的甲基化 CpG 位点(q .05)。在这 2061 个 CpG 位点中,有 155 个探针在一次以上的比较中都具有显著性。在这些基因中,有几个免疫系统基因,如COL18A1、S100A2、ITGA4、HLA-C和ADCYAP1,以前曾被认为与PCa的肿瘤进展有关:结论:研究发现了多个与疾病风险或侵袭性相关的免疫肿瘤通路中的不同甲基化基因。此外,还发现了 261 个与 PCa 风险相关的非裔美国人特异性差异甲基化基因。这些结果可以揭示导致非裔美国人患 PCa 的潜在机制。
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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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