Jean-Pierre Roperch, Guillaume Charbonnier, Sandy Figiel, Alastair Lamb, Ian Mills, Claude Hennion, Géraldine Cancel-Tassin, Olivier Cussenot
{"title":"多个高度甲基化的CpG位点作为前列腺癌诊断的潜在表观遗传标记。","authors":"Jean-Pierre Roperch, Guillaume Charbonnier, Sandy Figiel, Alastair Lamb, Ian Mills, Claude Hennion, Géraldine Cancel-Tassin, Olivier Cussenot","doi":"10.1186/s13148-025-01930-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Prostate cancer (PCa) remains the leading cause of cancer deaths in men. The prostate-specific antigen (PSA) test is widely used for PCa screening, but it lacks specificity and can lead to over-diagnosis and over-treatment. New, effective and affordable markers are therefore needed.</p><p><strong>Results: </strong>Using enzymatic methyl sequencing (EM-Seq), methylation-specific PCR (MS-PCR), and transcriptomics including a spatial approach, we analyzed tumor and non-tumor samples from radical prostatectomy specimens. Comprehensive methylome was performed in 15 paired samples of prostate cancer and their adjacent non-tumor tissue by EM-Seq. From over 4-million differentially methylated CpG sites, we identified 66 CpGs sites representing eight genes: CLDN5, GSTP1, NBEAL2, PRICKLE2, SALL3, TAMALIN/GRASP, TJP2, and TMEM106A which were hypermethylated in PCa tissues (p-value < 0.0001), and were confirmed by MS-PCR. A very good correlation between EM-Seq and MS-PCR results was observed (Pearson's correlation of 0.93). Differential expression of these candidate genes was analyzed first, using an Affymetrix RNA array dataset from a cohort of 68 non-tumor samples and 101 tumors with different aggressiveness patterns and, second, by in situ expression using Visium 10X spatial genomics transcriptomics on eight prostate tissue sections with different tumor grades and non-tumor glands. Lower expression level was found, using RNA arrays, in tumor compared to non-tumor tissues for six of the eight genes (p ≤ 0.0001) and in tumor glands with high aggressiveness compared to non-tumor glands (p < 0.0001) for the eight genes using in situ transcriptomics.</p><p><strong>Conclusions: </strong>Our study identifies promising DNA methylation markers for the diagnosis of prostate cancer.</p>","PeriodicalId":10366,"journal":{"name":"Clinical Epigenetics","volume":"17 1","pages":"122"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247388/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multiple highly methylated CpG sites as potential epigenetic markers for the diagnosis of prostate cancer.\",\"authors\":\"Jean-Pierre Roperch, Guillaume Charbonnier, Sandy Figiel, Alastair Lamb, Ian Mills, Claude Hennion, Géraldine Cancel-Tassin, Olivier Cussenot\",\"doi\":\"10.1186/s13148-025-01930-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Prostate cancer (PCa) remains the leading cause of cancer deaths in men. The prostate-specific antigen (PSA) test is widely used for PCa screening, but it lacks specificity and can lead to over-diagnosis and over-treatment. New, effective and affordable markers are therefore needed.</p><p><strong>Results: </strong>Using enzymatic methyl sequencing (EM-Seq), methylation-specific PCR (MS-PCR), and transcriptomics including a spatial approach, we analyzed tumor and non-tumor samples from radical prostatectomy specimens. Comprehensive methylome was performed in 15 paired samples of prostate cancer and their adjacent non-tumor tissue by EM-Seq. From over 4-million differentially methylated CpG sites, we identified 66 CpGs sites representing eight genes: CLDN5, GSTP1, NBEAL2, PRICKLE2, SALL3, TAMALIN/GRASP, TJP2, and TMEM106A which were hypermethylated in PCa tissues (p-value < 0.0001), and were confirmed by MS-PCR. A very good correlation between EM-Seq and MS-PCR results was observed (Pearson's correlation of 0.93). Differential expression of these candidate genes was analyzed first, using an Affymetrix RNA array dataset from a cohort of 68 non-tumor samples and 101 tumors with different aggressiveness patterns and, second, by in situ expression using Visium 10X spatial genomics transcriptomics on eight prostate tissue sections with different tumor grades and non-tumor glands. Lower expression level was found, using RNA arrays, in tumor compared to non-tumor tissues for six of the eight genes (p ≤ 0.0001) and in tumor glands with high aggressiveness compared to non-tumor glands (p < 0.0001) for the eight genes using in situ transcriptomics.</p><p><strong>Conclusions: </strong>Our study identifies promising DNA methylation markers for the diagnosis of prostate cancer.</p>\",\"PeriodicalId\":10366,\"journal\":{\"name\":\"Clinical Epigenetics\",\"volume\":\"17 1\",\"pages\":\"122\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247388/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Epigenetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13148-025-01930-z\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epigenetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13148-025-01930-z","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Multiple highly methylated CpG sites as potential epigenetic markers for the diagnosis of prostate cancer.
Background: Prostate cancer (PCa) remains the leading cause of cancer deaths in men. The prostate-specific antigen (PSA) test is widely used for PCa screening, but it lacks specificity and can lead to over-diagnosis and over-treatment. New, effective and affordable markers are therefore needed.
Results: Using enzymatic methyl sequencing (EM-Seq), methylation-specific PCR (MS-PCR), and transcriptomics including a spatial approach, we analyzed tumor and non-tumor samples from radical prostatectomy specimens. Comprehensive methylome was performed in 15 paired samples of prostate cancer and their adjacent non-tumor tissue by EM-Seq. From over 4-million differentially methylated CpG sites, we identified 66 CpGs sites representing eight genes: CLDN5, GSTP1, NBEAL2, PRICKLE2, SALL3, TAMALIN/GRASP, TJP2, and TMEM106A which were hypermethylated in PCa tissues (p-value < 0.0001), and were confirmed by MS-PCR. A very good correlation between EM-Seq and MS-PCR results was observed (Pearson's correlation of 0.93). Differential expression of these candidate genes was analyzed first, using an Affymetrix RNA array dataset from a cohort of 68 non-tumor samples and 101 tumors with different aggressiveness patterns and, second, by in situ expression using Visium 10X spatial genomics transcriptomics on eight prostate tissue sections with different tumor grades and non-tumor glands. Lower expression level was found, using RNA arrays, in tumor compared to non-tumor tissues for six of the eight genes (p ≤ 0.0001) and in tumor glands with high aggressiveness compared to non-tumor glands (p < 0.0001) for the eight genes using in situ transcriptomics.
Conclusions: Our study identifies promising DNA methylation markers for the diagnosis of prostate cancer.
期刊介绍:
Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.