{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T05:22:16Z","timestamp":1775366536135,"version":"3.50.1"},"reference-count":88,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"vor","delay-in-days":22,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2022J011275"],"award-info":[{"award-number":["2022J011275"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372392"],"award-info":[{"award-number":["62372392"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,7,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>RNA modification, as a crucial post-transcriptional regulatory mechanism, plays a pivotal role in normal physiological processes and is closely associated with the onset and progression of various human diseases. Recent studies have highlighted significant alterations in the level of RNA modifications, including m6A, m6Am, m1A, m5C, m7G, ac4C, \u03a8, and A-to-I editing, across multiple diseases. These findings suggest the potential of RNA modifications and their regulatory factors as biomarkers for early disease diagnosis and prognosis. This review provides an overview of statistical methods, machine learning techniques employed in identifying disease diagnostic and prognostic biomarkers, along with relevant evaluation metrics and bioinformatics tools. We further explore the types of common RNA modifications, the modifying proteins involved, and the underlying mechanisms of modification. The focus of this paper is on the application of machine learning algorithms in discovering RNA modification-related biomarkers, particularly for disease diagnosis and prognosis. By reviewing recent advancements in the identification of disease biomarkers, and analyzing the prospects and challenges of their clinical application, we aim to offer insights into the mining methods of RNA modifications and their associated factors as disease diagnostic or prognostic biomarkers, providing a valuable reference for future research and clinical practice.<\/jats:p>","DOI":"10.1093\/bib\/bbaf361","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T14:12:37Z","timestamp":1752502357000},"source":"Crossref","is-referenced-by-count":9,"title":["Research on RNA modification in disease diagnosis and prognostic biomarkers: current status and challenges"],"prefix":"10.1093","volume":"26","author":[{"given":"Hua","family":"Shi","sequence":"first","affiliation":[{"name":"School of Opto-electronic and Communication Engineering, Xiamen University of Technology , Ligong Road, Jimei District, Xiamen, Fujian 361024 ,","place":["China"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1707-042X","authenticated-orcid":false,"given":"Zhouying","family":"Li","sequence":"additional","affiliation":[{"name":"School of Opto-electronic and Communication Engineering, Xiamen University of Technology , Ligong Road, Jimei District, Xiamen, Fujian 361024 ,","place":["China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6406-1142","authenticated-orcid":false,"given":"Quan","family":"Zou","sequence":"additional","affiliation":[{"name":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China , Chengdian Road, Kecheng District, Quzhou, Zhejiang 324000 ,","place":["China"]},{"name":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , Section 2, North Jianshe Road, Chenghua District, Chengdu, Sichuan 610054 ,","place":["China"]}]},{"given":"Hui","family":"Yang","sequence":"additional","affiliation":[{"name":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China , Chengdian Road, Kecheng District, Quzhou, Zhejiang 324000 ,","place":["China"]}]}],"member":"286","published-online":{"date-parts":[[2025,7,23]]},"reference":[{"key":"2025072307054855400_ref1","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1186\/s12943-024-02041-8","article-title":"The role of RNA methylation in tumor immunity and its potential in immunotherapy","volume":"23","author":"Li","year":"2024","journal-title":"Mol Cancer"},{"key":"2025072307054855400_ref2","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1038\/s41392-024-01823-2","article-title":"Tumor biomarkers for diagnosis, prognosis and targeted therapy","volume":"9","author":"Zhou","year":"2024","journal-title":"Signal Transduct Target Ther"},{"key":"2025072307054855400_ref3","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1186\/s12943-022-01522-y","article-title":"Demethylase ALKBH5 suppresses invasion of gastric cancer via PKMYT1 m6A modification","volume":"21","author":"Hu","year":"2022","journal-title":"Mol Cancer"},{"key":"2025072307054855400_ref4","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s00441-023-03816-z","article-title":"The benefits and pitfalls of machine learning for biomarker discovery","volume":"394","author":"Ng","year":"2023","journal-title":"Cell Tissue Res"},{"key":"2025072307054855400_ref5","doi-asserted-by":"publisher","first-page":"56","DOI":"10.3390\/medicina56090455","article-title":"Comparison of conventional statistical methods with machine learning in medicine: Diagnosis, drug development, and treatment","volume":"56","author":"Rajula","year":"2020","journal-title":"Medicina (Kaunas)"},{"key":"2025072307054855400_ref6","doi-asserted-by":"publisher","first-page":"e0261625","DOI":"10.1371\/journal.pone.0261625","article-title":"Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data","volume":"16","author":"Mohammed","year":"2021","journal-title":"PloS One"},{"key":"2025072307054855400_ref7","doi-asserted-by":"publisher","first-page":"212106","DOI":"10.1007\/s11432-024-4171-9","article-title":"SBSM-pro: Support bio-sequence machine for proteins","volume":"67","author":"Wang","year":"2024","journal-title":"Sci China Inf Sci"},{"key":"2025072307054855400_ref8","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1167\/tvst.9.2.14","article-title":"Introduction to machine learning, neural networks, and deep learning","volume":"9","author":"Choi","year":"2020","journal-title":"Transl Vis Sci Technol"},{"key":"2025072307054855400_ref9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/a:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach Learn"},{"key":"2025072307054855400_ref10","doi-asserted-by":"publisher","DOI":"10.21873\/cgp.20063","article-title":"Applications of support vector machine (SVM) learning in cancer genomics","volume":"15","author":"Huang","year":"2018","journal-title":"Cancer Genomics Proteomics"},{"key":"2025072307054855400_ref11","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/s10462-011-9272-4","article-title":"Decision trees: A recent overview","volume":"39","author":"Kotsiantis","year":"2013","journal-title":"Artif Intell Rev"},{"key":"2025072307054855400_ref12","first-page":"785","volume-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)","author":"Chen","year":"2016"},{"key":"2025072307054855400_ref13","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the Lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J R Stat Soc Series B Stat Methodol"},{"key":"2025072307054855400_ref14","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1002\/cpt.1796","article-title":"An introduction to machine learning","volume":"107","author":"Badillo","year":"2020","journal-title":"Clin Pharmacol Ther"},{"key":"2025072307054855400_ref15","doi-asserted-by":"publisher","first-page":"634162","DOI":"10.3389\/fgene.2021.634162","article-title":"Significance of RNA N6-methyladenosine regulators in the diagnosis and subtype classification of childhood asthma using the gene expression omnibus database","volume":"12","author":"Dai","year":"2021","journal-title":"Front Genet"},{"key":"2025072307054855400_ref16","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/a:1023949509487","article-title":"Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data","volume":"52","author":"Monti","year":"2003","journal-title":"Mach Learn"},{"key":"2025072307054855400_ref17","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1038\/nbt0308-303","article-title":"What is principal component analysis?","volume":"26","author":"Ringn\u00e9r","year":"2008","journal-title":"Nat Biotechnol"},{"key":"2025072307054855400_ref18","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"2025072307054855400_ref19","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1186\/s12859-022-04962-x","article-title":"Benchmark study of feature selection strategies for multi-omics data","volume":"23","author":"Li","year":"2022","journal-title":"BMC Bioinformatics"},{"key":"2025072307054855400_ref20","first-page":"627","article-title":"Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation","volume":"4","author":"Hajian-Tilaki","year":"2013","journal-title":"Caspian J Intern Med"},{"key":"2025072307054855400_ref21","doi-asserted-by":"publisher","first-page":"921256","DOI":"10.3389\/fgene.2022.921256","article-title":"m6A regulator-mediated RNA methylation modification patterns regulate the immune microenvironment in osteoarthritis","volume":"13","author":"Duan","year":"2022","journal-title":"Front Genet"},{"key":"2025072307054855400_ref22","doi-asserted-by":"publisher","first-page":"D330","DOI":"10.1093\/nar\/gky1055","article-title":"The gene ontology resource: 20 years and still GOing strong","volume":"47","author":"Carbon","year":"2019","journal-title":"Nucleic Acids Res"},{"key":"2025072307054855400_ref23","doi-asserted-by":"publisher","first-page":"D587","DOI":"10.1093\/nar\/gkac963","article-title":"KEGG for taxonomy-based analysis of pathways and genomes","volume":"51","author":"Kanehisa","year":"2023","journal-title":"Nucleic Acids Res"},{"key":"2025072307054855400_ref24","doi-asserted-by":"publisher","first-page":"D638","DOI":"10.1093\/nar\/gkac1000","article-title":"The STRING database in 2023: Protein-protein association networks and functional enrichment analyses for any sequenced genome of interest","volume":"51","author":"Szklarczyk","year":"2023","journal-title":"Nucleic Acids Res"},{"key":"2025072307054855400_ref25","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1186\/1471-2105-9-559","article-title":"WGCNA: An R package for weighted correlation network analysis","volume":"9","author":"Langfelder","year":"2008","journal-title":"BMC Bioinformatics"},{"key":"2025072307054855400_ref26","doi-asserted-by":"publisher","first-page":"1231898","DOI":"10.3389\/fimmu.2023.1231898","article-title":"Identification and validation of key biomarkers based on RNA methylation genes in sepsis","volume":"14","author":"Zhang","year":"2023","journal-title":"Front Immunol"},{"key":"2025072307054855400_ref27","doi-asserted-by":"publisher","first-page":"e17027","DOI":"10.7717\/peerj.17027","article-title":"Construction and validation of m6A-related diagnostic model for psoriasis","volume":"12","author":"Liu","year":"2024","journal-title":"PeerJ"},{"key":"2025072307054855400_ref28","doi-asserted-by":"publisher","first-page":"4405","DOI":"10.1002\/cam4.5096","article-title":"IGF2BP2 promotes pancreatic carcinoma progression by enhancing the stability of B3GNT6 mRNA via m6A methylation","volume":"12","author":"Cao","year":"2023","journal-title":"Cancer Med"},{"key":"2025072307054855400_ref29","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1038\/s41586-021-03536-w","article-title":"Small-molecule inhibition of METTL3 as a strategy against myeloid leukaemia","volume":"593","author":"Yankova","year":"2021","journal-title":"Nature"},{"key":"2025072307054855400_ref30","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1038\/s12276-023-00944-y","article-title":"The roles of N6-methyladenosine and its target regulatory noncoding RNAs in tumors: Classification, mechanisms, and potential therapeutic implications","volume":"55","author":"Liu","year":"2023","journal-title":"Exp Mol Med"},{"key":"2025072307054855400_ref31","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1186\/s12964-023-01385-w","article-title":"The role of m6A epigenetic modifications in tumor coding and non-coding RNA processing","volume":"21","author":"Wen","year":"2023","journal-title":"Cell Commun Signal"},{"key":"2025072307054855400_ref32","doi-asserted-by":"publisher","first-page":"1387582","DOI":"10.3389\/fimmu.2024.1387582","article-title":"Exploring the impact of m(6)a modification on immune diseases: Mechanisms and therapeutic implication","volume":"15","author":"Chen","year":"2024","journal-title":"Front Immunol"},{"key":"2025072307054855400_ref33","doi-asserted-by":"publisher","DOI":"10.1093\/jmcb\/mjae012","article-title":"Regulation of m6Am RNA modification and its implications in human diseases","volume":"16","author":"Jin","year":"2024","journal-title":"J Mol Cell Biol"},{"key":"2025072307054855400_ref34","doi-asserted-by":"publisher","first-page":"4142","DOI":"10.1016\/j.molcel.2024.10.004","article-title":"M(6)Am sequesters PCF11 to suppress premature termination and drive neuroblastoma differentiation","volume":"84","author":"An","year":"2024","journal-title":"Mol Cell"},{"key":"2025072307054855400_ref35","doi-asserted-by":"publisher","first-page":"6578","DOI":"10.1016\/j.csbj.2022.11.045","article-title":"N(1)-methyladenosine modification in cancer biology: Current status and future perspectives","volume":"20","author":"Li","year":"2022","journal-title":"Comput Struct Biotechnol J"},{"key":"2025072307054855400_ref36","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/s40364-022-00362-8","article-title":"Biological roles of RNA m(5)C modification and its implications in cancer immunotherapy","volume":"10","author":"Song","year":"2022","journal-title":"Biomark Res"},{"key":"2025072307054855400_ref37","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1093\/gpbjnl\/qzae063","article-title":"RNA 5-methylcytosine modification: Regulatory molecules, biological functions, and human diseases","volume":"22","author":"Lu","year":"2024","journal-title":"Genomics Proteomics Bioinformatics"},{"key":"2025072307054855400_ref38","doi-asserted-by":"publisher","first-page":"e70015","DOI":"10.1002\/mco2.70015","article-title":"RNA N4-acetylcytidine modification and its role in health and diseases","volume":"6","author":"Wang","year":"2025","journal-title":"MedComm"},{"key":"2025072307054855400_ref39","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.omtn.2023.01.003","article-title":"Internal m7G methylation: A novel epitranscriptomic contributor in brain development and diseases","volume":"31","author":"Xia","year":"2023","journal-title":"Mol Ther Nucleic Acids"},{"key":"2025072307054855400_ref40","doi-asserted-by":"publisher","first-page":"3208","DOI":"10.1016\/j.cell.2023.05.047","article-title":"QKI shuttles internal m(7)G-modified transcripts into stress granules and modulates mRNA metabolism","volume":"186","author":"Zhao","year":"2023","journal-title":"Cell"},{"key":"2025072307054855400_ref41","doi-asserted-by":"publisher","first-page":"7421","DOI":"10.1038\/s41467-024-51634-w","article-title":"IGF2BP3 promotes mRNA degradation through internal m(7)G modification","volume":"15","author":"Liu","year":"2024","journal-title":"Nat Commun"},{"key":"2025072307054855400_ref42","doi-asserted-by":"publisher","first-page":"111288","DOI":"10.1016\/j.cellsig.2024.111288","article-title":"Exploring the role of m7G modification in cancer: Mechanisms, regulatory proteins, and biomarker potential","volume":"121","author":"Zhang","year":"2024","journal-title":"Cell Signal"},{"key":"2025072307054855400_ref43","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1186\/s12967-024-05687-6","article-title":"Implications of RNA pseudouridylation for cancer biology and therapeutics: A narrative review","volume":"22","author":"Ding","year":"2024","journal-title":"J Transl Med"},{"key":"2025072307054855400_ref44","doi-asserted-by":"publisher","first-page":"e70190","DOI":"10.1002\/ctm2.70190","article-title":"Deciphering the pseudouridine nucleobase modification in human diseases: From molecular mechanisms to clinical perspectives","volume":"15","author":"Jia","year":"2025","journal-title":"Clin Transl Med"},{"key":"2025072307054855400_ref45","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/s12964-023-01465-x","article-title":"The role of ADAR1 through and beyond its editing activity in cancer","volume":"22","author":"Jiao","year":"2024","journal-title":"Cell Commun Signal"},{"key":"2025072307054855400_ref46","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1038\/s41392-020-00450-x","article-title":"The role of m6A modification in the biological functions and diseases","volume":"6","author":"Jiang","year":"2021","journal-title":"Signal Transduct Target Ther"},{"key":"2025072307054855400_ref47","doi-asserted-by":"publisher","first-page":"22","DOI":"10.3390\/ijms222010958","article-title":"RNA editing: A new therapeutic target in amyotrophic lateral sclerosis and other neurological diseases","volume":"22","author":"Hosaka","year":"2021","journal-title":"Int J Mol Sci"},{"key":"2025072307054855400_ref48","doi-asserted-by":"publisher","first-page":"691","DOI":"10.7150\/ijbs.79205","article-title":"Upregulation of LRRC8A by m(5)C modification-mediated mRNA stability suppresses apoptosis and facilitates tumorigenesis in cervical cancer","volume":"19","author":"Chen","year":"2023","journal-title":"Int J Biol Sci"},{"key":"2025072307054855400_ref49","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1158\/0008-5472.Can-22-2485","article-title":"The m6A reader YTHDF2 promotes bladder cancer progression by suppressing RIG-I-mediated immune response","volume":"83","author":"Zhang","year":"2023","journal-title":"Cancer Res"},{"key":"2025072307054855400_ref50","doi-asserted-by":"publisher","first-page":"e2308769","DOI":"10.1002\/advs.202308769","article-title":"The m7G Methyltransferase Mettl1 drives cardiac hypertrophy by regulating SRSF9-mediated splicing of NFATc4","volume":"11","author":"Yu","year":"2024","journal-title":"Adv Sci (Weinh)"},{"key":"2025072307054855400_ref51","doi-asserted-by":"publisher","first-page":"1478","DOI":"10.1038\/s41467-022-29125-7","article-title":"N(7)-methylguanosine tRNA modification promotes esophageal squamous cell carcinoma tumorigenesis via the RPTOR\/ULK1\/autophagy axis","volume":"13","author":"Han","year":"2022","journal-title":"Nat Commun"},{"key":"2025072307054855400_ref52","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1186\/s13045-021-01129-8","article-title":"N6-methyladenosine methyltransferases: Functions, regulation, and clinical potential","volume":"14","author":"Huang","year":"2021","journal-title":"J Hematol Oncol"},{"key":"2025072307054855400_ref53","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1038\/s41419-023-06241-w","article-title":"m6A and m5C modification of GPX4 facilitates anticancer immunity via STING activation","volume":"14","author":"Chen","year":"2023","journal-title":"Cell Death Dis"},{"key":"2025072307054855400_ref54","doi-asserted-by":"publisher","first-page":"153794","DOI":"10.1016\/j.prp.2022.153794","article-title":"HNRNPA2B1 inhibited SFRP2 and activated Wnt-\u03b2\/catenin via m6A-mediated miR-106b-5p processing to aggravate stemness in lung adenocarcinoma","volume":"233","author":"Rong","year":"2022","journal-title":"Pathol Res Pract"},{"key":"2025072307054855400_ref55","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s13045-019-0839-x","article-title":"M6A-mediated upregulation of LINC00958 increases lipogenesis and acts as a nanotherapeutic target in hepatocellular carcinoma","volume":"13","author":"Zuo","year":"2020","journal-title":"J Hematol Oncol"},{"key":"2025072307054855400_ref56","doi-asserted-by":"publisher","first-page":"1019445","DOI":"10.3389\/fimmu.2023.1019445","article-title":"Expression patterns of eight RNA-modified regulators correlating with immune infiltrates during the progression of osteoarthritis","volume":"14","author":"Chen","year":"2023","journal-title":"Front Immunol"},{"key":"2025072307054855400_ref57","doi-asserted-by":"publisher","first-page":"10034","DOI":"10.18632\/aging.202761","article-title":"A five-m6A regulatory gene signature is a prognostic biomarker in lung adenocarcinoma patients","volume":"13","author":"Wu","year":"2021","journal-title":"Aging (Albany NY)"},{"key":"2025072307054855400_ref58","doi-asserted-by":"publisher","first-page":"1036345","DOI":"10.3389\/fgene.2022.1036345","article-title":"Experimental verification and comprehensive analysis of m7G methylation regulators in the subcluster classification of ischemic stroke","volume":"13","author":"Tian","year":"2022","journal-title":"Front Genet"},{"key":"2025072307054855400_ref59","doi-asserted-by":"publisher","first-page":"5904","DOI":"10.1038\/s41598-023-32919-4","article-title":"m6A regulator-mediated RNA methylation modification patterns are involved in the regulation of the immune microenvironment in ischaemic cardiomyopathy","volume":"13","author":"Zheng","year":"2023","journal-title":"Sci Rep"},{"key":"2025072307054855400_ref60","doi-asserted-by":"publisher","first-page":"7267","DOI":"10.18632\/aging.205755","article-title":"Biological significance of METTL5 in atherosclerosis: Comprehensive analysis of single-cell and bulk RNA sequencing data","volume":"16","author":"Wu","year":"2024","journal-title":"Aging (Albany NY)"},{"key":"2025072307054855400_ref61","doi-asserted-by":"publisher","first-page":"1014509","DOI":"10.3389\/fimmu.2022.1014509","article-title":"Analysis of m(7)G methylation modification patterns and pulmonary vascular immune microenvironment in pulmonary arterial hypertension","volume":"13","author":"Wang","year":"2022","journal-title":"Front Immunol"},{"key":"2025072307054855400_ref62","doi-asserted-by":"publisher","first-page":"1444003","DOI":"10.3389\/fgene.2024.1444003","article-title":"Identification of m5C-related gene diagnostic biomarkers for sepsis: A machine learning study","volume":"15","author":"Lin","year":"2024","journal-title":"Front Genet"},{"key":"2025072307054855400_ref63","doi-asserted-by":"publisher","first-page":"9471520","DOI":"10.1155\/2023\/9471520","article-title":"Comprehensive analysis of m7G-related genes and chronic hepatitis B: Diagnostic markers, immune microenvironment regulation, disease progression","volume":"2023","author":"Zhang","year":"2023","journal-title":"J Immunol Res"},{"key":"2025072307054855400_ref64","doi-asserted-by":"publisher","first-page":"914193","DOI":"10.3389\/fpubh.2022.914193","article-title":"m6A regulator-mediated methylation modification patterns and characteristics in COVID-19 patients","volume":"10","author":"Qing","year":"2022","journal-title":"Front Public Health"},{"key":"2025072307054855400_ref65","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1186\/s13018-023-03933-z","article-title":"Diagnostic value and immune infiltration characterization of YTHDF2 as a critical m6A regulator in osteoarthritic synovitis","volume":"18","author":"Bian","year":"2023","journal-title":"J Orthop Surg Res"},{"key":"2025072307054855400_ref66","doi-asserted-by":"publisher","first-page":"957742","DOI":"10.3389\/fendo.2022.957742","article-title":"Comprehensive analysis of the m6A-related molecular patterns and diagnostic biomarkers in osteoporosis","volume":"13","author":"Bai","year":"2022","journal-title":"Front Endocrinol (Lausanne)"},{"key":"2025072307054855400_ref67","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1007\/s12282-023-01458-1","article-title":"Establishment of a N1-methyladenosine-related risk signature for breast carcinoma by bioinformatics analysis and experimental validation","volume":"30","author":"Li","year":"2023","journal-title":"Breast Cancer"},{"key":"2025072307054855400_ref68","doi-asserted-by":"publisher","first-page":"726018","DOI":"10.3389\/fonc.2021.726018","article-title":"N6-methyladenosine regulators promote malignant progression of gastric adenocarcinoma","volume":"11","author":"Zhao","year":"2021","journal-title":"Front Oncol"},{"key":"2025072307054855400_ref69","doi-asserted-by":"publisher","first-page":"604229","DOI":"10.3389\/fgene.2021.604229","article-title":"Prognostic implication of the m(6)a RNA methylation regulators in rectal cancer","volume":"12","author":"Chen","year":"2021","journal-title":"Front Genet"},{"key":"2025072307054855400_ref70","doi-asserted-by":"publisher","first-page":"567931","DOI":"10.3389\/fonc.2020.567931","article-title":"A ten-N(6)-methyladenosine (m(6)a)-modified gene signature based on a risk score system predicts patient prognosis in rectum adenocarcinoma","volume":"10","author":"Huang","year":"2020","journal-title":"Front Oncol"},{"key":"2025072307054855400_ref71","doi-asserted-by":"publisher","first-page":"718","DOI":"10.3389\/fonc.2020.00718","article-title":"Analysis of genetic alteration signatures and prognostic values of m6A regulatory genes in head and neck squamous cell carcinoma","volume":"10","author":"Zhou","year":"2020","journal-title":"Front Oncol"},{"key":"2025072307054855400_ref72","doi-asserted-by":"publisher","first-page":"e20172","DOI":"10.1016\/j.heliyon.2023.e20172","article-title":"The predictive significance of a 5-m6A RNA methylation regulator signature in colorectal cancer","volume":"9","author":"Zhang","year":"2023","journal-title":"Heliyon"},{"key":"2025072307054855400_ref73","doi-asserted-by":"publisher","first-page":"541401","DOI":"10.3389\/fonc.2020.541401","article-title":"Prognosis analysis and validation of m(6)a signature and tumor immune microenvironment in glioma","volume":"10","author":"Lin","year":"2020","journal-title":"Front Oncol"},{"key":"2025072307054855400_ref74","doi-asserted-by":"publisher","first-page":"e29925","DOI":"10.1016\/j.heliyon.2024.e29925","article-title":"Prognostic model and ceRNA network of m7G- and radiosensitivity-related genes in hepatocellular carcinoma","volume":"10","author":"Liu","year":"2024","journal-title":"Heliyon"},{"key":"2025072307054855400_ref75","doi-asserted-by":"publisher","first-page":"1301236","DOI":"10.3389\/fonc.2023.1301236","article-title":"Identification and validation of a prognostic risk-scoring model for AML based on m(7)G-associated gene clustering","volume":"13","author":"Zhang","year":"2023","journal-title":"Front Oncol"},{"key":"2025072307054855400_ref76","doi-asserted-by":"publisher","first-page":"1101683","DOI":"10.3389\/fgene.2023.1101683","article-title":"Identification and verification of m7G-related genes as biomarkers for prognosis of sarcoma","volume":"14","author":"Qin","year":"2023","journal-title":"Front Genet"},{"key":"2025072307054855400_ref77","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1002\/iub.2678","article-title":"N6-methyladenosine regulators are potential prognostic biomarkers for multiple myeloma","volume":"75","author":"Wang","year":"2023","journal-title":"IUBMB Life"},{"key":"2025072307054855400_ref78","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1186\/1471-2164-9-124","article-title":"Can subtle changes in gene expression be consistently detected with different microarray platforms?","volume":"9","author":"Pedotti","year":"2008","journal-title":"BMC Genomics"},{"key":"2025072307054855400_ref79","doi-asserted-by":"publisher","first-page":"29982","DOI":"10.1038\/s41598-024-81790-4","article-title":"Identification of diagnostic biomarkers and molecular subtype analysis associated with m6A in tuberculosis immunopathology using machine learning","volume":"14","author":"Ding","year":"2024","journal-title":"Sci Rep"},{"key":"2025072307054855400_ref80","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1186\/s12943-022-01543-7","article-title":"Liquid biopsy: A step closer to transform diagnosis, prognosis and future of cancer treatments","volume":"21","author":"Lone","year":"2022","journal-title":"Mol Cancer"},{"key":"2025072307054855400_ref81","doi-asserted-by":"publisher","first-page":"967921","DOI":"10.3389\/fimmu.2022.967921","article-title":"5-methylcytosine (m(5)C) modification in peripheral blood immune cells is a novel non-invasive biomarker for colorectal cancer diagnosis","volume":"13","author":"Yin","year":"2022","journal-title":"Front Immunol"},{"key":"2025072307054855400_ref82","doi-asserted-by":"publisher","first-page":"399","DOI":"10.4143\/crt.2020.870","article-title":"Upregulated N6-methyladenosine RNA in peripheral blood: Potential diagnostic biomarker for breast cancer","volume":"53","author":"Xiao","year":"2021","journal-title":"Cancer Res Treat"},{"key":"2025072307054855400_ref83","doi-asserted-by":"publisher","first-page":"37","DOI":"10.58567\/ci03020004","article-title":"Comprehensive analyses reveal molecular and clinical characteristics of RNA modification writers across 32 cancer types","volume":"3","author":"Ding","year":"2024","journal-title":"Cancer Insight"},{"key":"2025072307054855400_ref84","doi-asserted-by":"publisher","first-page":"8615","DOI":"10.1111\/jcmm.16818","article-title":"The role of YTH domain containing 2 in epigenetic modification and immune infiltration of pan-cancer","volume":"25","author":"Zhang","year":"2021","journal-title":"J Cell Mol Med"},{"key":"2025072307054855400_ref85","doi-asserted-by":"publisher","first-page":"1016797","DOI":"10.3389\/fgene.2022.1016797","article-title":"Comprehensive pan-cancer analysis of N7-methylguanosine regulators: Expression features and potential implications in prognosis and immunotherapy","volume":"13","author":"Wei","year":"2022","journal-title":"Front Genet"},{"key":"2025072307054855400_ref86","doi-asserted-by":"publisher","first-page":"863484","DOI":"10.3389\/fimmu.2022.863484","article-title":"Four types of RNA modification writer-related lncRNAs are effective predictors of prognosis and immunotherapy response in serous ovarian carcinoma","volume":"13","author":"Ye","year":"2022","journal-title":"Front Immunol"},{"key":"2025072307054855400_ref87","doi-asserted-by":"publisher","first-page":"e11893","DOI":"10.7717\/peerj.11893","article-title":"Network analysis of miRNA targeting m6A-related genes in patients with esophageal cancer","volume":"9","author":"Li","year":"2021","journal-title":"PeerJ"},{"key":"2025072307054855400_ref88","doi-asserted-by":"publisher","first-page":"893186","DOI":"10.3389\/fonc.2022.893186","article-title":"Comprehensive analysis of molecular clusters and prognostic signature based on m7G-related LncRNAs in esophageal squamous cell carcinoma","volume":"12","author":"Zhao","year":"2022","journal-title":"Front Oncol"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/26\/4\/bbaf361\/63828732\/bbaf361.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/26\/4\/bbaf361\/63828732\/bbaf361.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T11:05:55Z","timestamp":1753268755000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbaf361\/8210810"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":88,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,7,2]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbaf361","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2025,7]]},"published":{"date-parts":[[2025,7]]},"article-number":"bbaf361"}}