{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T18:51:27Z","timestamp":1791053487835,"version":"4.1.0"},"reference-count":56,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,2,7]],"date-time":"2023-02-07T00:00:00Z","timestamp":1675728000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81560359"],"award-info":[{"award-number":["81560359"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81860393"],"award-info":[{"award-number":["81860393"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Immunopharmacology"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1016\/j.intimp.2023.109879","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T23:01:08Z","timestamp":1677020468000},"page":"109879","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":17,"special_numbering":"C","title":["Identification of clinical heterogeneity and construction of a novel subtype predictive model in patients with ankylosing spondylitis: An unsupervised machine learning study"],"prefix":"10.1016","volume":"117","author":[{"given":"Xuhua","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenxing","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jichong","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaofeng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuo","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiarui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyou","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng Sheng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6936-481X","authenticated-orcid":false,"given":"Xinli","family":"Zhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.intimp.2023.109879_b0005","article-title":"Upregulated of ANXA3, SORL1, and neutrophils may be key factors in the progressionof Ankylosing Spondylitis","volume":"13","author":"Jiang","year":"2022","journal-title":"Front. Immunol."},{"key":"10.1016\/j.intimp.2023.109879_b0010","doi-asserted-by":"crossref","DOI":"10.3389\/fgene.2022.949882","article-title":"Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis","volume":"13","author":"Zhou","year":"2022","journal-title":"Front. Genet."},{"issue":"6","key":"10.1016\/j.intimp.2023.109879_b0015","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1136\/annrheumdis-2016-210770","article-title":"2016 update of the ASAS-EULAR management recommendations for axial spondyloarthritis","volume":"76","author":"van der Heijde","year":"2017","journal-title":"Ann. Rheum. Dis."},{"issue":"10","key":"10.1016\/j.intimp.2023.109879_b0020","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1002\/art.41042","article-title":"2019 Update of the American College of Rheumatology\/Spondylitis Association of America\/Spondyloarthritis Research and Treatment Network Recommendations for the Treatment of Ankylosing Spondylitis and Nonradiographic Axial Spondyloarthritis","volume":"71","author":"Ward","year":"2019","journal-title":"Arthritis Rheumatol. (Hoboken, NJ)."},{"issue":"10214","key":"10.1016\/j.intimp.2023.109879_b0025","doi-asserted-by":"crossref","first-page":"2108","DOI":"10.1016\/S0140-6736(19)32534-6","article-title":"Efficacy and safety of upadacitinib in patients with active ankylosing spondylitis (SELECT-AXIS 1): a multicentre, randomised, double-blind, placebo-controlled, phase 2\/3 trial","volume":"394","author":"van der Heijde","year":"2019","journal-title":"Lancet (London, England)."},{"issue":"1","key":"10.1016\/j.intimp.2023.109879_b0030","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1038\/s41420-022-00900-1","article-title":"Transfer of microRNA-22-3p by M2 macrophage-derived extracellular vesicles facilitates the development of ankylosing spondylitis through the PER2-mediated Wnt\/\u03b2-catenin axis","volume":"8","author":"Liu","year":"2022","journal-title":"Cell Death Discovery"},{"issue":"Suppl. 1","key":"10.1016\/j.intimp.2023.109879_b0035","article-title":"N6-Methyladenosine modification of lincRNA 1281 is critically required for mESC differentiation potential","volume":"46","author":"Yang","year":"2018","journal-title":"Nucleic Acids Res."},{"issue":"1","key":"10.1016\/j.intimp.2023.109879_b0040","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1186\/s12943-019-1065-4","article-title":"METTL3-mediated N6-methyladenosine modification is critical for epithelial-mesenchymal transition and metastasis of gastric cancer","volume":"18","author":"Yue","year":"2019","journal-title":"Mol. Cancer"},{"key":"10.1016\/j.intimp.2023.109879_b0045","article-title":"Dysregulation of SAA1, TUBA8 and monocytes are key factors in ankylosing spondylitis with femoral head necrosis","volume":"12","author":"Jiang","year":"2021","journal-title":"Front. Immunol."},{"key":"10.1016\/j.intimp.2023.109879_b0050","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2021.760214","article-title":"Platelet-to-lymphocyte ratio as an independent factor was associated with the severity of ankylosing spondylitis","volume":"12","author":"Liang","year":"2021","journal-title":"Front. Immunol."},{"key":"10.1016\/j.intimp.2023.109879_b0055","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.omtn.2019.12.001","article-title":"mA methylation of precursor-miR-320\/RUNX2 controls osteogenic potential of bone marrow-derived mesenchymal stem cells","volume":"19","author":"Yan","year":"2020","journal-title":"Mol. Ther. Nucleic Acids"},{"key":"10.1016\/j.intimp.2023.109879_b0060","doi-asserted-by":"crossref","unstructured":"C. Miceli-Richard, R. Said-Nahal, M. Breban, Impact of sex on inheritance of ankylosing spondylitis, Lancet (London, England) 355(9209) (2000) 1097\u20131098; author reply 8.","DOI":"10.1016\/S0140-6736(05)72217-0"},{"issue":"11","key":"10.1016\/j.intimp.2023.109879_b0065","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.1007\/s00296-018-4124-z","article-title":"Ankylosing spondylitis causes high burden to patients and the healthcare system: results from a German claims database analysis","volume":"38","author":"Kr\u00fcger","year":"2018","journal-title":"Rheumatol. Int."},{"key":"10.1016\/j.intimp.2023.109879_b0070","doi-asserted-by":"crossref","DOI":"10.3389\/fsurg.2022.935656","article-title":"Machine learning-based clustering in cervical spondylotic myelopathy patients to identify heterogeneous clinical characteristics","volume":"9","author":"Zhou","year":"2022","journal-title":"Front. Surg."},{"issue":"1","key":"10.1016\/j.intimp.2023.109879_b0075","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1002\/ejhf.1333","article-title":"Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy","volume":"21","author":"Cikes","year":"2019","journal-title":"Eur. J. Heart Fail."},{"issue":"1","key":"10.1016\/j.intimp.2023.109879_b0080","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.jaci.2021.06.029","article-title":"Unraveling heterogeneity in pediatric atopic dermatitis: Identification of serum biomarker based patient clusters","volume":"149","author":"Bakker","year":"2022","journal-title":"J. Allergy Clin. Immunol."},{"issue":"22","key":"10.1016\/j.intimp.2023.109879_b0085","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1001\/jama.2016.17216","article-title":"Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs","volume":"316","author":"Gulshan","year":"2016","journal-title":"J. Am. Med. Assoc."},{"key":"10.1016\/j.intimp.2023.109879_b0090","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1146\/annurev.bioeng.8.061505.095802","article-title":"Machine learning for detection and diagnosis of disease","volume":"8","author":"Sajda","year":"2006","journal-title":"Annu. Rev. Biomed. Eng."},{"issue":"4","key":"10.1016\/j.intimp.2023.109879_b0095","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/S2213-2600(21)00461-6","article-title":"Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis","volume":"10","author":"Maddali","year":"2022","journal-title":"Lancet Respir. Med."},{"issue":"2","key":"10.1016\/j.intimp.2023.109879_b0100","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.jcmg.2021.07.004","article-title":"Machine learning-derived echocardiographic phenotypes predict heart failure incidence in asymptomatic individuals","volume":"15","author":"Kobayashi","year":"2022","journal-title":"J. Am. Coll. Cardiol. Img."},{"issue":"12","key":"10.1016\/j.intimp.2023.109879_b0105","first-page":"2281","article-title":"A new approach to defining functional ability in ankylosing spondylitis: the development of the Bath Ankylosing Spondylitis Functional Index","volume":"21","author":"Calin","year":"1994","journal-title":"J. Rheumatol."},{"issue":"12","key":"10.1016\/j.intimp.2023.109879_b0110","first-page":"2286","article-title":"A new approach to defining disease status in ankylosing spondylitis: the Bath Ankylosing Spondylitis Disease Activity Index","volume":"21","author":"Garrett","year":"1994","journal-title":"J. Rheumatol."},{"issue":"12","key":"10.1016\/j.intimp.2023.109879_b0115","first-page":"2866","article-title":"The development and validation of a radiographic grading system for the hip in ankylosing spondylitis: the bath ankylosing spondylitis radiology hip index","volume":"27","author":"MacKay","year":"2000","journal-title":"J. Rheumatol."},{"issue":"4","key":"10.1016\/j.intimp.2023.109879_b0120","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1002\/art.1780270401","article-title":"Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria","volume":"27","author":"van der Linden","year":"1984","journal-title":"Arthritis Rheum."},{"issue":"4","key":"10.1016\/j.intimp.2023.109879_b0125","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1136\/ard.2005.041137","article-title":"ASAS\/EULAR recommendations for the management of ankylosing spondylitis","volume":"65","author":"Zochling","year":"2006","journal-title":"Ann. Rheum. Dis."},{"key":"10.1016\/j.intimp.2023.109879_b0130","article-title":"Genome-Wide Identification of Immune-Related Alternative Splicing and Splicing Regulators Involved in Abdominal Aortic Aneurysm","volume":"13","author":"Wu","year":"2022","journal-title":"Front. Genet."},{"issue":"12","key":"10.1016\/j.intimp.2023.109879_b0135","doi-asserted-by":"crossref","DOI":"10.1093\/sleep\/zsab176","article-title":"Association of snoring characteristics with predominant site of collapse of upper airway in obstructive sleep apnea patients","volume":"44","author":"Sebastian","year":"2021","journal-title":"Sleep"},{"issue":"5","key":"10.1016\/j.intimp.2023.109879_b0140","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/S2213-8587(18)30051-2","article-title":"Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables","volume":"6","author":"Ahlqvist","year":"2018","journal-title":"Lancet Diabetes Endocrinol."},{"issue":"3","key":"10.1016\/j.intimp.2023.109879_b0145","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1037\/met0000095","article-title":"A comparison of latent class, K-means, and K-median methods for clustering dichotomous data","volume":"22","author":"Brusco","year":"2017","journal-title":"Psychol. Methods"},{"key":"10.1016\/j.intimp.2023.109879_b0150","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: a graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1984","journal-title":"J. Comput. Appl. Math."},{"key":"10.1016\/j.intimp.2023.109879_b0155","doi-asserted-by":"crossref","DOI":"10.3389\/fcell.2020.599494","article-title":"An eight-CircRNA assessment model for predicting biochemical recurrence in prostate cancer","volume":"8","author":"Wang","year":"2020","journal-title":"Front. Cell Dev. Biol."},{"issue":"5","key":"10.1016\/j.intimp.2023.109879_b0160","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1007\/s40744-022-00481-6","article-title":"Development and validation of a machine learning-based nomogram for prediction of ankylosing spondylitis","volume":"9","author":"Zhu","year":"2022","journal-title":"Rheumatol. Ther."},{"key":"10.1016\/j.intimp.2023.109879_b0165","doi-asserted-by":"crossref","first-page":"1314","DOI":"10.3389\/fonc.2019.01314","article-title":"An immune-related signature predicts survival in patients with lung adenocarcinoma","volume":"9","author":"Zhang","year":"2019","journal-title":"Front. Oncol."},{"key":"10.1016\/j.intimp.2023.109879_b0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2021.103444","article-title":"A diagnostic miRNA signature for pulmonary arterial hypertension using a consensus machine learning approach","volume":"69","author":"Errington","year":"2021","journal-title":"EBioMedicine"},{"key":"10.1016\/j.intimp.2023.109879_b0175","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.ajo.2020.04.003","article-title":"Determinants of cone and rod functions in geographic atrophy: AI-based structure-function correlation","volume":"217","author":"Pfau","year":"2020","journal-title":"Am. J. Ophthalmol."},{"issue":"5","key":"10.1016\/j.intimp.2023.109879_b0180","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1038\/nmeth.3337","article-title":"Robust enumeration of cell subsets from tissue expression profiles","volume":"12","author":"Newman","year":"2015","journal-title":"Nat. Methods"},{"issue":"12","key":"10.1016\/j.intimp.2023.109879_b0185","doi-asserted-by":"crossref","first-page":"e1002194","DOI":"10.1371\/journal.pmed.1002194","article-title":"Patterns of immune infiltration in breast cancer and their clinical implications: a gene-expression-based retrospective study","volume":"13","author":"Ali","year":"2016","journal-title":"PLoS Med."},{"issue":"5","key":"10.1016\/j.intimp.2023.109879_b0190","doi-asserted-by":"crossref","first-page":"e25988","DOI":"10.2196\/25988","article-title":"Using unsupervised machine learning to identify age- and sex-independent severity subgroups among patients with COVID-19: observational longitudinal study","volume":"23","author":"Benito-Le\u00f3n","year":"2021","journal-title":"J. Med. Internet Res."},{"issue":"1","key":"10.1016\/j.intimp.2023.109879_b0195","doi-asserted-by":"crossref","first-page":"e005499","DOI":"10.1161\/CIRCEP.117.005499","article-title":"Machine learning algorithm predicts cardiac resynchronization therapy outcomes: lessons from the COMPANION trial","volume":"11","author":"Kalscheur","year":"2018","journal-title":"Circ. Arrhythm. Electrophysiol."},{"issue":"6","key":"10.1016\/j.intimp.2023.109879_b0200","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.1002\/cam4.4538","article-title":"Machine learning to predict waitlist dropout among liver transplant candidates with hepatocellular carcinoma","volume":"11","author":"Kwong","year":"2022","journal-title":"Cancer Med."},{"issue":"11","key":"10.1016\/j.intimp.2023.109879_b0205","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1002\/alz.12140","article-title":"AD risk score for the early phases of disease based on unsupervised machine learning","volume":"16","author":"Wang","year":"2020","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.intimp.2023.109879_b0210","unstructured":"S. Gao, L. Jin, H. Meadows, T. Shafman, C. Gross, J. Yu, et al., Prediction of distant metastases after stereotactic body radiation therapy for early stage non-small cell lung cancer: development and external validation of a multi-institutional model, J. Thoracic Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer (2022)."},{"issue":"1","key":"10.1016\/j.intimp.2023.109879_b0215","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1136\/annrheumdis-2013-204231","article-title":"Efficacy of certolizumab pegol on signs and symptoms of axial spondyloarthritis including ankylosing spondylitis: 24-week results of a double-blind randomised placebo-controlled Phase 3 study","volume":"73","author":"Landew\u00e9","year":"2014","journal-title":"Ann. Rheum. Dis."},{"key":"10.1016\/j.intimp.2023.109879_b0220","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1038\/s41423-021-00832-3","article-title":"Neutrophils in chronic inflammatory diseases","volume":"19","author":"Herrero-Cervera","year":"2022","journal-title":"Cell. Mol. Immunol."},{"issue":"3","key":"10.1016\/j.intimp.2023.109879_b0225","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.molmed.2018.12.008","article-title":"Neutrophils in rheumatoid arthritis: breaking immune tolerance and fueling disease","volume":"25","author":"O'Neil","year":"2019","journal-title":"Trends Mol. Med."},{"issue":"12","key":"10.1016\/j.intimp.2023.109879_b0230","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/jcm7120511","article-title":"The emerging role of neutrophil granulocytes in multiple sclerosis","volume":"7","author":"Woodberry","year":"2018","journal-title":"J. Clin. Med."},{"issue":"12","key":"10.1016\/j.intimp.2023.109879_b0235","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/ijms21124558","article-title":"Neutrophils: underestimated players in the pathogenesis of multiple sclerosis (MS)","volume":"21","author":"De Bondt","year":"2020","journal-title":"Int. J. Mol. Sci."},{"issue":"4","key":"10.1016\/j.intimp.2023.109879_b0240","first-page":"684","article-title":"What's wrong with neutrophils in lupus?","volume":"37","author":"Tsai","year":"2019","journal-title":"Clin. Exp. Rheumatol."},{"key":"10.1016\/j.intimp.2023.109879_b0245","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1146\/annurev.immunol.26.021607.090326","article-title":"Monocyte-mediated defense against microbial pathogens","volume":"26","author":"Serbina","year":"2008","journal-title":"Annu. Rev. Immunol."},{"issue":"6","key":"10.1016\/j.intimp.2023.109879_b0250","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1038\/nri3671","article-title":"Monocytes and macrophages: developmental pathways and tissue homeostasis","volume":"14","author":"Ginhoux","year":"2014","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.intimp.2023.109879_b0255","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1146\/annurev-immunol-042617-053119","article-title":"Nonclassical monocytes in health and disease","volume":"37","author":"Narasimhan","year":"2019","journal-title":"Annu. Rev. Immunol."},{"key":"10.1016\/j.intimp.2023.109879_b0260","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.omtn.2021.06.013","article-title":"FTO-mediated demethylation of GADD45B promotes myogenesis through the activation of p38 MAPK pathway","volume":"26","author":"Deng","year":"2021","journal-title":"Mol. Ther. Nucleic Acids"},{"issue":"7","key":"10.1016\/j.intimp.2023.109879_b0265","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1080\/15548627.2019.1659617","article-title":"Atg5mA mRNA methylation controls autophagy and adipogenesis by targeting and","volume":"16","author":"Wang","year":"2020","journal-title":"Autophagy"},{"issue":"5","key":"10.1016\/j.intimp.2023.109879_b0270","doi-asserted-by":"crossref","first-page":"e1007412","DOI":"10.1371\/journal.pgen.1007412","article-title":"Nuclear m6A reader YTHDC1 regulates alternative polyadenylation and splicing during mouse oocyte development","volume":"14","author":"Kasowitz","year":"2018","journal-title":"PLoS Genet."},{"issue":"6","key":"10.1016\/j.intimp.2023.109879_b0275","doi-asserted-by":"crossref","first-page":"e2004880","DOI":"10.1371\/journal.pbio.2004880","article-title":"METTL3-mediated m6A modification is required for cerebellar development","volume":"16","author":"Wang","year":"2018","journal-title":"PLoS Biol."},{"issue":"1","key":"10.1016\/j.intimp.2023.109879_b0280","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1186\/s12943-021-01356-0","article-title":"The mA RNA methylation regulates oncogenic signaling pathways driving cell malignant transformation and carcinogenesis","volume":"20","author":"Uddin","year":"2021","journal-title":"Mol. Cancer"}],"container-title":["International Immunopharmacology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1567576923001996?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1567576923001996?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T18:04:09Z","timestamp":1761588249000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1567576923001996"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":56,"alternative-id":["S1567576923001996"],"URL":"https:\/\/doi.org\/10.1016\/j.intimp.2023.109879","relation":{},"ISSN":["1567-5769"],"issn-type":[{"value":"1567-5769","type":"print"}],"subject":[],"published":{"date-parts":[[2023,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Identification of clinical heterogeneity and construction of a novel subtype predictive model in patients with ankylosing spondylitis: An unsupervised machine learning study","name":"articletitle","label":"Article Title"},{"value":"International Immunopharmacology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.intimp.2023.109879","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"109879"}}