Epigenomics最新文献

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miRNA-mediated metabolic reprogramming is associated with recurrence in ovarian cancer. mirna介导的代谢重编程与卵巢癌复发有关。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-08-21 DOI: 10.1080/17501911.2026.2721124
Ece Gumusoglu-Acar, Kaan Kara, Samet Topuz, Tuba Gunel
{"title":"miRNA-mediated metabolic reprogramming is associated with recurrence in ovarian cancer.","authors":"Ece Gumusoglu-Acar, Kaan Kara, Samet Topuz, Tuba Gunel","doi":"10.1080/17501911.2026.2721124","DOIUrl":"10.1080/17501911.2026.2721124","url":null,"abstract":"<p><strong>Background: </strong>Ovarian cancer (OC) recurrence and therapy resistance remain major clinical challenges. Identifying the molecular adaptations associated with relapse is essential for improving disease monitoring.</p><p><strong>Research design and methods: </strong>We performed miRNA expression profiling on tissue and serum samples obtained from different primary ovarian cancer (POC) (<i>n</i> = 8) and recurrent ovarian cancer (ROC) cases (<i>n</i> = 8). Following statistical filtering, target prediction and functional pathway enrichment analyses were conducted. Clinical prognostic associations of target genes were explored using the Kaplan-Meier Plotter database.</p><p><strong>Results: </strong>A candidate recurrence-associated signature was identified, comprising hsa-miR-3656 (tissue, Fold Change >1.8), hsa-miR-4701-5p, and hsa-miR-6775-3p (serum, Fold Change >2.0), all significantly upregulated in ROC. Computational target analysis identified 375 miRNA-mRNA interactions primarily enriched in sphingolipid and purine metabolism pathways. Evaluation of the target genes indicated that altered expression of DEGS1, NPR1, and ALDH1B1 is correlated with poorer progression-free survival.</p><p><strong>Conclusions: </strong>OC recurrence is associated with a distinct miRNA profile linked to metabolic reprogramming. Although functional validation is required, circulating hsa-miR-4701-5p and hsa-miR-6775-3p represent candidate liquid biopsy biomarkers requiring prospective validation for recurrence monitoring.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"951-963"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148789929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Understanding and making sense of epigenetic age misalignment across different aging clocks. 理解和理解不同衰老时钟的表观遗传年龄失调。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-07-24 DOI: 10.1080/17501911.2026.2708567
Adiv A Johnson, Maxim N Shokhirev
{"title":"Understanding and making sense of epigenetic age misalignment across different aging clocks.","authors":"Adiv A Johnson, Maxim N Shokhirev","doi":"10.1080/17501911.2026.2708567","DOIUrl":"10.1080/17501911.2026.2708567","url":null,"abstract":"<p><p>The output of an epigenetic aging clock can vary depending on the training method utilized, cell type composition, the nature of the training dataset, the technology used to generate the methylomic data, acute stressors, and other factors. On an individual level, epigenetic age can fluctuate across different clocks purely due to differences in model training. Among aging clock researchers, it is well-known that the epigenetic age of a single sample can vary across different models. Based on our observations and conversations with longevity scientists and stakeholders, however, this fact is often unappreciated among non-aging clock experts. To help bring more awareness to this important topic, we highlight key literature and, as an illustrative example, use eight blood-trained clocks to show that epigenetic age is frequently misaligned in a publicly available whole blood dataset. Our simple analysis revealed that the average sample difference between the youngest and oldest predicted ages across these clocks was 17 years. The smallest and largest individual-level differences observed were 4 and 45 years, respectively. Clock misalignment has implications for choosing which clock to utilize, interpreting the impact of an intervention on epigenetic age, personalized tracking, and relating epigenetic age to the abstract concept of biological age.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"965-972"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540193/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148577379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Changes of DNA methylation and gene expression profile in placental villi and chorioamniotic membranes under preeclampsia. 子痫前期胎盘绒毛和绒毛膜DNA甲基化和基因表达谱的变化。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-07-20 DOI: 10.1080/17501911.2026.2705149
Yuming Liu, Xingyu Wei, Shaoqing Wu, Shi Weng, Kun Li, Yuxuan Yang, Zhenjie Tang, Zhiwei Guo, Fang Yang, Xin Yang, Xuexi Yang
{"title":"Changes of DNA methylation and gene expression profile in placental villi and chorioamniotic membranes under preeclampsia.","authors":"Yuming Liu, Xingyu Wei, Shaoqing Wu, Shi Weng, Kun Li, Yuxuan Yang, Zhenjie Tang, Zhiwei Guo, Fang Yang, Xin Yang, Xuexi Yang","doi":"10.1080/17501911.2026.2705149","DOIUrl":"10.1080/17501911.2026.2705149","url":null,"abstract":"<p><strong>Background: </strong>Preeclampsia (PE) is a serious pregnancy complication with elusive pathogenesis. Although epigenetic dysregulation is implicated, its layer-specific placental roles are poorly defined. This study aimed to identify shared and layer-specific epigenetic alterations in PE by profiling DNA methylation and gene expression in placental villi (PV) and chorioamniotic membranes (CAM).</p><p><strong>Research design and methods: </strong>PV and CAM samples were collected from 7 normal and 8 PE pregnancies, and three public DNA methylation datasets (GSE98224, GSE44667, GSE75196) were integrated. Differentially methylated genes (DMGs) and differentially expressed genes (DEGs) were identified based on whole-genome methylation and transcriptome sequencing. Layer-specific and shared gene sets were identified by cross-analysis, with functional annotation using Gene Ontology (GO).</p><p><strong>Results: </strong>EM-seq revealed a hypermethylation-dominant, tissue-specific methylation landscape in PE placentas. Cross-tissue comparison identified shared DMGs between the two layers, including nine key genes consistently altered in public datasets. Integrated analysis in PV further identified 22 co-dysregulated genes, enriched in thermoregulation, maternal-fetal immunity, signal transduction, and cell differentiation.</p><p><strong>Conclusions: </strong>This study elucidates the shared and layer-specific dysregulation of gene networks at methylomic and transcriptomic levels in PE placenta. Comparing PV and CAM highlights placental epigenetic heterogeneity and dysfunction, offering novel clues for mechanistic research and layer-targeted therapies.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"923-940"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540128/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mendelian disorders of the epigenetic machinery: a decade of insights into the molecular basis. 孟德尔紊乱的表观遗传机制:十年来对分子基础的洞察。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-07-14 DOI: 10.1080/17501911.2026.2699328
Leandros Boukas, Hans T Bjornsson
{"title":"Mendelian disorders of the epigenetic machinery: a decade of insights into the molecular basis.","authors":"Leandros Boukas, Hans T Bjornsson","doi":"10.1080/17501911.2026.2699328","DOIUrl":"10.1080/17501911.2026.2699328","url":null,"abstract":"<p><p>The Mendelian disorders of the Epigenetic Machinery (MDEMs), or Chromatinopathies, are now understood to be a collectively common cause of childhood neurodevelopmental delays and intellectual disability. In the past decade, the chromatin and gene expression consequences of heterozygous chromatin regulator disruption have been investigated in various disease models, yielding insights into the molecular pathogenesis of MDEMs. In this review, we highlight some of these results - drawing upon studies of representative MDEMs - together with potential unifying concepts. We propose that MDEMs are characterized by distributed, often subtle chromatin and gene expression perturbations, which impact diverse cellular pathways and processes and are frequently shared between distinct disorders. In this sense, they occupy an intermediate space between classical monogenic disorders and complex traits. We propose potential explanations for the variable expressivity in MDEMs and conclude by considering how technological advances can now enable a deeper and more precise mechanistic characterization of this important Mendelian disease group.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"1021-1036"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540115/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148435663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction. 修正。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-07-27 DOI: 10.1080/17501911.2026.2709946
{"title":"Correction.","authors":"","doi":"10.1080/17501911.2026.2709946","DOIUrl":"10.1080/17501911.2026.2709946","url":null,"abstract":"","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"1069"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540214/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148591016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring multidimensional cfDNA methylation fragmentomics for non-invasive postoperative assessment in early-stage lung cancer. 探讨多维cfDNA甲基化片段组学在早期肺癌术后无创评估中的应用。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-08-08 DOI: 10.1080/17501911.2026.2715276
Peixian Li, Zhuxing Chen, Yihao Chen, Xiaowen Zhang, Cheng Zeng, Shengli Yang, Yaming Xiong
{"title":"Exploring multidimensional cfDNA methylation fragmentomics for non-invasive postoperative assessment in early-stage lung cancer.","authors":"Peixian Li, Zhuxing Chen, Yihao Chen, Xiaowen Zhang, Cheng Zeng, Shengli Yang, Yaming Xiong","doi":"10.1080/17501911.2026.2715276","DOIUrl":"10.1080/17501911.2026.2715276","url":null,"abstract":"<p><strong>Background: </strong>Effective postoperative monitoring remains an important area of investigation for early-stage lung cancer patients after curative resection. This exploratory technical feasibility study evaluated a methylation-based fragmentomics approach by analyzing paired pre- and post-operative plasma cfDNA from 10 patients.</p><p><strong>Research design and methods: </strong>Paired pre- and post-operative blood samples were collected from 10 patients with early-stage lung cancer who underwent curative-intent surgical resection. cfDNA was extracted, enriched for methylated fragments, and subjected to deep sequencing. Multidimensional cfDNA features including methylated cfDNA load, fragment length distribution, GC content, and copy number variations were analyzed.</p><p><strong>Results: </strong>Postoperative samples showed decreased methylated cfDNA concentration and GC content. Fragment length analysis revealed a shift from shorter (mean 164 bp) to longer fragments (mean 200 bp) after surgery, along with the emergence of a ~ 336 bp sub-peak in postoperative samples. Methylation enrichment enabled detection of copy number variations that were attenuated post-operatively.</p><p><strong>Conclusions: </strong>Multi-dimensional cfDNA analysis can detect molecular changes after surgery in this small exploratory cohort. Further validation in larger prospective cohorts with longitudinal follow-up is warranted to assess potential clinical utility.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"941-949"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148697107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SNP-derived CpG variation and DNA methylation linking genetic susceptibility to metabolic disease. snp衍生的CpG变异和DNA甲基化将遗传易感性与代谢疾病联系起来。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-07-20 DOI: 10.1080/17501911.2026.2705144
Kamakshi Khanna, Sana Alam
{"title":"SNP-derived CpG variation and DNA methylation linking genetic susceptibility to metabolic disease.","authors":"Kamakshi Khanna, Sana Alam","doi":"10.1080/17501911.2026.2705144","DOIUrl":"10.1080/17501911.2026.2705144","url":null,"abstract":"<p><p>DNA methylation at CpG dinucleotides represents a key epigenetic mechanism linking genetic variation to gene regulation in complex human diseases. Single-nucleotide polymorphisms (SNPs) that create or disrupt CpG sites can alter local DNA methylation and transcriptional activity, thereby influencing disease susceptibility. These CpG-modifying variants provide a functional interface between inherited genetic variation and epigenetic regulation in complex metabolic disorders. This review summarizes current evidence on SNP-derived CpG variation and its role in allele-specific DNA methylation and gene regulation in metabolically relevant tissues. By integrating findings from genome-wide association studies, epigenome-wide association studies, and multi-omics research, this review provides a mechanistic framework explaining how CpG-modifying polymorphisms influence adipogenesis, pancreatic β-cell function, inflammation, and glucose metabolism. Special emphasis is placed on South Asian populations, who exhibit early β-cell dysfunction and increased visceral adiposity. Many CpG-modifying variants act as methylation quantitative trait loci (meQTLs), influencing allele-specific methylation and gene expression. Understanding SNP-CpG-methylation interactions may improve functional interpretation of disease-associated genetic variants, enhance biomarker discovery, and support precision medicine strategies for metabolic disease.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"1055-1068"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540215/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clinical applications of epigenetic signatures in chronic pain management and health outcome prediction. 表观遗传特征在慢性疼痛管理和健康预后预测中的临床应用。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-08-01 Epub Date: 2026-07-22 DOI: 10.1080/17501911.2026.2700012
Jinane Ben Amar, Joni Michiels, Jolien Hendrix, Jente Van Campenhout, Arne Wyns, Yanthe Buntinx, Huan-Yu Xiong, Jo Nijs, Lode Godderis, Elke De Bruyne, Andrea Polli
{"title":"Clinical applications of epigenetic signatures in chronic pain management and health outcome prediction.","authors":"Jinane Ben Amar, Joni Michiels, Jolien Hendrix, Jente Van Campenhout, Arne Wyns, Yanthe Buntinx, Huan-Yu Xiong, Jo Nijs, Lode Godderis, Elke De Bruyne, Andrea Polli","doi":"10.1080/17501911.2026.2700012","DOIUrl":"10.1080/17501911.2026.2700012","url":null,"abstract":"<p><p>Chronic pain represents a major public health challenge, imposing a substantial burden on both patients and healthcare systems. Beyond genetic predisposition, accumulating evidence indicates that epigenetic mechanisms contribute to the development and persistence of chronic pain disorders. Among these, DNA methylation and long non-coding RNAs (lncRNAs) have emerged as important regulators of gene expression involved in pain-related biological processes. This review integrates recent findings on epigenetic alterations in chronic pain disorders, including chronic primary pain conditions such as chronic low back pain, fibromyalgia, myalgic encephalomyelitis/chronic fatigue syndrome and migraine, and chronic secondary pain conditions, including rheumatoid arthritis, osteoarthritis and neuropathic pain. We highlight how disease-associated changes in DNA methylation and lncRNA expression influence pathways related to inflammation, nociceptive signaling and central sensitization, thereby contributing to pain susceptibility and maintenance. In addition, we discuss the emerging use of DNA methylation-based epigenetic clocks to estimate biological age in chronic pain disorders, with potential applications as biomarkers for disease risk, prognosis and patient stratification. Furthermore, we address histone modifications as an underexplored epigenetic layer in human chronic pain. Finally, we consider how lifestyle and environmental factors shape epigenetic regulation and discuss how targeting them may optimize personalized strategies for managing chronic pain.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"1037-1053"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148548223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Epigenetic regulation of nuclear mechanics. 核力学的表观遗传调控。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-07-01 Epub Date: 2026-06-11 DOI: 10.1080/17501911.2026.2685054
Zhaoqi Shi, Mengting Jiang, Jian Chen, Guoqiao Chen, Jing Yang, Hui Lin, Xiaoxiao Fan
{"title":"Epigenetic regulation of nuclear mechanics.","authors":"Zhaoqi Shi, Mengting Jiang, Jian Chen, Guoqiao Chen, Jing Yang, Hui Lin, Xiaoxiao Fan","doi":"10.1080/17501911.2026.2685054","DOIUrl":"10.1080/17501911.2026.2685054","url":null,"abstract":"<p><p>The cell nucleus is a dynamic and mechanically active organelle whose physical properties significantly influence genome organization, gene regulation, and cellular identity. Over the past two decades, research has increasingly focused on the concept of nuclear mechanotransduction, a process by which the nucleus responds to mechanical signals from both the extracellular microenvironment and the intracellular cytoskeleton. Emerging evidence now positions epigenetic regulation as a central architect of these mechanical properties. This review synthesizes current understanding of how nuclear architecture defines mechanical homeostasis and how mechanical signals are transduced into biochemical and transcriptional responses. We highlights how epigenetic mechanisms, such as histone modifications, chromatin remodeling complexes, and DNA methylation, actively program nuclear mechanics by modulating chromatin stiffness, lamina integrity, and chromatin-envelope coupling. We further examine how this epigenetically encoded mechanical identity influences key biological processes including stem cell differentiation, tissue development, and aging, and contributes to diseases characterized by nuclear dysfunction, such as laminopathies and cancer metastasis. By integrating recent advances, this review underscores the epigenetic-mechanical axis as a core regulatory framework through which cells establish and maintain nuclear mechanical homeostasis in both physiological and pathological contexts.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"861-876"},"PeriodicalIF":3.1,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13390529/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148216175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Overview of transcriptomics and epigenomics approaches in the diagnosis, prognosis, and therapeutics of primary brain cancers. 转录组学和表观基因组学方法在原发性脑癌的诊断、预后和治疗中的概述。
IF 3.1 4区 医学
Epigenomics Pub Date : 2026-07-01 Epub Date: 2026-06-26 DOI: 10.1080/17501911.2026.2688961
Luna Guerra-Núñez, David Hughes-Herrera, Juan Manuel Molina-López, Luis M Valor
{"title":"Overview of transcriptomics and epigenomics approaches in the diagnosis, prognosis, and therapeutics of primary brain cancers.","authors":"Luna Guerra-Núñez, David Hughes-Herrera, Juan Manuel Molina-López, Luis M Valor","doi":"10.1080/17501911.2026.2688961","DOIUrl":"10.1080/17501911.2026.2688961","url":null,"abstract":"<p><p>Genome-wide approaches have unveiled multiple aspects of primary brain and spinal cord cancers regarding oncogenic processes, the tumor microenvironment, and mechanisms of resistance and sensitivity to therapy (among many others). In this review, we provide a brief overview of the possibilities that the current and highly diverse omics techniques offer for genomic landscape characterization, and how they can enhance our understanding of gliomas and glioneuronal tumors. More specifically, we discuss available methodologies for transcriptomics profiling (gene expression, alternative splicing, RNA modifications) and epitranscriptomics profiling (DNA methylation and hydroxymethylation, histone covalent modifications, chromatin accessible regions) at the level of bulk tissue, sorted and single cells, and biofluids. Multiomics integration of cancer-associated molecular alterations, including mapping of long-distant DNA interactions, enables a better understanding of tumor biology, providing clues concerning patient stratification, biomarker discovery, identification of key oncologic players with clinical utility, and potential novel therapeutic interventions. Furthermore, these multiomics have generated diverse and extensive databases that are available to the scientific community. Finally, we discuss that widespread implementation of omics into the clinic is still challenging but holds good prospects for effectiveness in the near future.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"889-910"},"PeriodicalIF":3.1,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13390540/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148338253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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