Firoz Ahmed, Nitish Kumar Mishra, Othman A Alghamdi, Mohammad Imran Khan, Aamir Ahmad, Nargis Khan, Mohammad Rehan
{"title":"利用多组学和机器学习破解肝细胞癌中的 KDM8 失调和 CpG 甲基化。","authors":"Firoz Ahmed, Nitish Kumar Mishra, Othman A Alghamdi, Mohammad Imran Khan, Aamir Ahmad, Nargis Khan, Mohammad Rehan","doi":"10.1080/17501911.2024.2374702","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> This study investigates the altered expression and CpG methylation patterns of histone demethylase <i>KDM8</i> in hepatocellular carcinoma (HCC), aiming to uncover insights and promising diagnostics biomarkers.<b>Materials & methods:</b> Leveraging TCGA-LIHC multi-omics data, we employed R/Bioconductor libraries and Cytoscape to analyze and construct a gene correlation network, and LASSO regression to develop an HCC-predictive model.<b>Results:</b> In HCC, <i>KDM8</i> downregulation is correlated with CpGs hypermethylation. Differential gene correlation analysis unveiled a liver carcinoma-associated network marked by increased cell division and compromised liver-specific functions. The LASSO regression identified a highly accurate HCC prediction signature, prominently featuring CpG methylation at cg02871891.<b>Conclusion:</b> Our study uncovers CpG hypermethylation at cg02871891, possibly influencing <i>KDM8</i> downregulation in HCC, suggesting these as promising biomarkers and targets.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"961-983"},"PeriodicalIF":3.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11370911/pdf/","citationCount":"0","resultStr":"{\"title\":\"Deciphering <i>KDM8</i> dysregulation and CpG methylation in hepatocellular carcinoma using multi-omics and machine learning.\",\"authors\":\"Firoz Ahmed, Nitish Kumar Mishra, Othman A Alghamdi, Mohammad Imran Khan, Aamir Ahmad, Nargis Khan, Mohammad Rehan\",\"doi\":\"10.1080/17501911.2024.2374702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Aim:</b> This study investigates the altered expression and CpG methylation patterns of histone demethylase <i>KDM8</i> in hepatocellular carcinoma (HCC), aiming to uncover insights and promising diagnostics biomarkers.<b>Materials & methods:</b> Leveraging TCGA-LIHC multi-omics data, we employed R/Bioconductor libraries and Cytoscape to analyze and construct a gene correlation network, and LASSO regression to develop an HCC-predictive model.<b>Results:</b> In HCC, <i>KDM8</i> downregulation is correlated with CpGs hypermethylation. Differential gene correlation analysis unveiled a liver carcinoma-associated network marked by increased cell division and compromised liver-specific functions. The LASSO regression identified a highly accurate HCC prediction signature, prominently featuring CpG methylation at cg02871891.<b>Conclusion:</b> Our study uncovers CpG hypermethylation at cg02871891, possibly influencing <i>KDM8</i> downregulation in HCC, suggesting these as promising biomarkers and targets.</p>\",\"PeriodicalId\":11959,\"journal\":{\"name\":\"Epigenomics\",\"volume\":\" \",\"pages\":\"961-983\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11370911/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epigenomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/17501911.2024.2374702\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epigenomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17501911.2024.2374702","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/29 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Deciphering KDM8 dysregulation and CpG methylation in hepatocellular carcinoma using multi-omics and machine learning.
Aim: This study investigates the altered expression and CpG methylation patterns of histone demethylase KDM8 in hepatocellular carcinoma (HCC), aiming to uncover insights and promising diagnostics biomarkers.Materials & methods: Leveraging TCGA-LIHC multi-omics data, we employed R/Bioconductor libraries and Cytoscape to analyze and construct a gene correlation network, and LASSO regression to develop an HCC-predictive model.Results: In HCC, KDM8 downregulation is correlated with CpGs hypermethylation. Differential gene correlation analysis unveiled a liver carcinoma-associated network marked by increased cell division and compromised liver-specific functions. The LASSO regression identified a highly accurate HCC prediction signature, prominently featuring CpG methylation at cg02871891.Conclusion: Our study uncovers CpG hypermethylation at cg02871891, possibly influencing KDM8 downregulation in HCC, suggesting these as promising biomarkers and targets.
期刊介绍:
Epigenomics provides the forum to address the rapidly progressing research developments in this ever-expanding field; to report on the major challenges ahead and critical advances that are propelling the science forward. The journal delivers this information in concise, at-a-glance article formats – invaluable to a time constrained community.
Substantial developments in our current knowledge and understanding of genomics and epigenetics are constantly being made, yet this field is still in its infancy. Epigenomics provides a critical overview of the latest and most significant advances as they unfold and explores their potential application in the clinical setting.