{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T11:12:00Z","timestamp":1792494720734,"version":"4.5.0"},"reference-count":36,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T00:00:00Z","timestamp":1750636800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100018625","name":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission","doi-asserted-by":"publisher","award":["22Y11911300"],"award-info":[{"award-number":["22Y11911300"]}],"id":[{"id":"10.13039\/501100018625","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018625","name":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission","doi-asserted-by":"publisher","award":["2024LYC04"],"award-info":[{"award-number":["2024LYC04"]}],"id":[{"id":"10.13039\/501100018625","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["cell.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["iScience"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1016\/j.isci.2025.112998","type":"journal-article","created":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T02:52:56Z","timestamp":1750819976000},"page":"112998","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"title":["Predicting RUNX1::RUNX1T1 genetic abnormalities in acute myeloid leukemia from bone marrow smears: Can artificial intelligence do better?"],"prefix":"10.1016","volume":"28","author":[{"given":"Hui","family":"Cheng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujun","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyi","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huangmeng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyi","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangyu","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianmin","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiatao","family":"Lou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gusheng","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.isci.2025.112998_bib1","article-title":"Advances in acute myeloid leukemia","volume":"375","author":"Newell","year":"2021","journal-title":"BMJ"},{"key":"10.1016\/j.isci.2025.112998_bib2","doi-asserted-by":"crossref","first-page":"4515","DOI":"10.1200\/JCO.2012.43.4738","article-title":"Prognostic significance of the European LeukemiaNet standardized system for reporting cytogenetic and molecular alterations in adults with acute myeloid leukemia","volume":"30","author":"Mr\u00f3zek","year":"2012","journal-title":"J. Clin. Oncol."},{"key":"10.1016\/j.isci.2025.112998_bib3","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/978-0-387-69259-3_5","article-title":"Genes predictive of outcome and novel molecular classification schemes in adult acute myeloid leukemia","volume":"145","author":"Verhaak","year":"2010","journal-title":"Cancer Treat Res."},{"key":"10.1016\/j.isci.2025.112998_bib4","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1182\/blood.2022016867","article-title":"Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN","volume":"140","author":"D\u00f6hner","year":"2022","journal-title":"Blood"},{"key":"10.1016\/j.isci.2025.112998_bib5","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1159\/000496097","article-title":"Morphological and Immunophenotypic Clues to the WHO Categories of Acute Myeloid Leukaemia","volume":"141","author":"Bain","year":"2019","journal-title":"Acta Haematol."},{"key":"10.1016\/j.isci.2025.112998_bib6","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1182\/blood.2020008971","article-title":"Core-binding factor leukemia hijacks the T-cell-prone PU.1 antisense promoter","volume":"138","author":"van der Kouwe","year":"2021","journal-title":"Blood"},{"key":"10.1016\/j.isci.2025.112998_bib7","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1182\/bloodadvances.2020003605","article-title":"Secondary cytogenetic abnormalities in core-binding factor AML harboring inv(16) vs t(8;21)","volume":"5","author":"Han","year":"2021","journal-title":"Blood Adv."},{"key":"10.1016\/j.isci.2025.112998_bib8","doi-asserted-by":"crossref","first-page":"2070","DOI":"10.1182\/blood-2016-10-687830","article-title":"Role of RUNX1 in hematological malignancies","volume":"129","author":"Sood","year":"2017","journal-title":"Blood"},{"key":"10.1016\/j.isci.2025.112998_bib9","doi-asserted-by":"crossref","first-page":"5660","DOI":"10.1038\/sj.onc.1204593","article-title":"AML1 and the AML1-ETO fusion protein in the pathogenesis of t(8;21) AML","volume":"20","author":"Licht","year":"2001","journal-title":"Oncogene"},{"key":"10.1016\/j.isci.2025.112998_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.celrep.2020.107691","article-title":"Expression of RUNX1-ETO Rapidly Alters the Chromatin Landscape and Growth of Early Human Myeloid Precursor Cells","volume":"31","author":"Nafria","year":"2020","journal-title":"Cell Rep."},{"key":"10.1016\/j.isci.2025.112998_bib11","doi-asserted-by":"crossref","first-page":"10398","DOI":"10.1073\/pnas.171321298","article-title":"AML1-ETO expression is directly involved in the development of acute myeloid leukemia in the presence of additional mutations","volume":"98","author":"Yuan","year":"2001","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.isci.2025.112998_bib12","doi-asserted-by":"crossref","first-page":"620","DOI":"10.7326\/0003-4819-103-4-620","article-title":"Proposed revised criteria for the classification of acute myeloid leukemia: a report of the French-American- British Cooperative Group","volume":"103","author":"Bennett","year":"1985","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.isci.2025.112998_bib13","doi-asserted-by":"crossref","first-page":"IJH43","DOI":"10.2217\/ijh-2022-0004","article-title":"Therapy-related core binding factor acute myeloid leukemia","volume":"12","author":"George","year":"2023","journal-title":"Int. J. Hematol. Oncol."},{"key":"10.1016\/j.isci.2025.112998_bib14","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1002\/ajh.26822","article-title":"Acute myeloid leukemia: 2023 update on diagnosis, risk-stratification, and management","volume":"98","author":"Shimony","year":"2023","journal-title":"Am. J. Hematol."},{"key":"10.1016\/j.isci.2025.112998_bib15","doi-asserted-by":"crossref","first-page":"6342","DOI":"10.1182\/bloodadvances.2020002673","article-title":"Genomic heterogeneity in core-binding factor acute myeloid leukemia and its clinical implication","volume":"4","author":"Jahn","year":"2020","journal-title":"Blood Adv."},{"key":"10.1016\/j.isci.2025.112998_bib16","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1080\/16078454.2021.1990503","article-title":"Clinical values of gene alterations as marker of minimal residual disease in non-M3 acute myeloid leukemia","volume":"26","author":"Yu","year":"2021","journal-title":"Hematology"},{"key":"10.1016\/j.isci.2025.112998_bib17","first-page":"333","article-title":"A new complex translocation (8;22;21)(q22;q12;q22) in RUNX1\/RUNX1T1 acute myeloid leukaemia. Malays","volume":"41","author":"Tay Za","year":"2019","journal-title":"J. Pathol."},{"key":"10.1016\/j.isci.2025.112998_bib18","doi-asserted-by":"crossref","first-page":"2183","DOI":"10.1002\/cncr.32769","article-title":"Significance of minimal residual disease monitoring by real-time quantitative polymerase chain reaction in core binding factor acute myeloid leukemia for transplantation outcomes","volume":"126","author":"Yalniz","year":"2020","journal-title":"Cancer"},{"key":"10.1016\/j.isci.2025.112998_bib19","article-title":"Acute myeloid leukemia with variant t(8;10;21","volume":"18","author":"Bacova","year":"2022","journal-title":"Leuk. Res. Rep."},{"key":"10.1016\/j.isci.2025.112998_bib20","doi-asserted-by":"crossref","first-page":"20117","DOI":"10.1073\/pnas.2003900117","article-title":"Multidimensional study of the heterogeneity of leukemia cells in t(8;21) acute myelogenous leukemia identifies the subtype with poor outcome","volume":"117","author":"Jiang","year":"2020","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.isci.2025.112998_bib21","doi-asserted-by":"crossref","first-page":"50","DOI":"10.18632\/genesandcancer.232","article-title":"A novel t (5; 17) (q35; q21) associated with t (8; 21) (q22; q22) in a patient with acute myeloid leukemia: case report and review of literature","volume":"14","author":"Zahra","year":"2023","journal-title":"Genes Cancer"},{"key":"10.1016\/j.isci.2025.112998_bib22","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1111\/ijlh.13121","article-title":"Morphological characteristics, cytogenetic profile, and outcome of RUNX1-RUNX1T1-positive acute myeloid leukemia: Experience of an Indian tertiary care center","volume":"42","author":"Gupta","year":"2020","journal-title":"Int. J. Lab. Hematol."},{"key":"10.1016\/j.isci.2025.112998_bib23","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1038\/s43856-022-00107-6","article-title":"Automated bone marrow cytology using deep learning to generate a histogram of cell types","volume":"2","author":"Tayebi","year":"2022","journal-title":"Commun. Med (Lond)."},{"key":"10.1016\/j.isci.2025.112998_bib24","article-title":"A Deep Learning Model for the Automatic Recognition of Aplastic Anemia, Myelodysplastic Syndromes, and Acute Myeloid Leukemia Based on Bone Marrow Smear","volume":"12","author":"Wang","year":"2022","journal-title":"Front. Oncol."},{"key":"10.1016\/j.isci.2025.112998_bib25","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1158\/2643-3230.BCD-20-0162","article-title":"Machine Learning of Bone Marrow Histopathology Identifies Genetic and Clinical Determinants in Patients with MDS","volume":"2","author":"Br\u00fcck","year":"2021","journal-title":"Blood Cancer Discov."},{"key":"10.1016\/j.isci.2025.112998_bib26","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1038\/s41375-021-01408-w","article-title":"Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears","volume":"36","author":"Eckardt","year":"2022","journal-title":"Leukemia"},{"key":"10.1016\/j.isci.2025.112998_bib27","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1038\/s41592-023-01973-1","article-title":"Convolutional neural networks","volume":"20","author":"Derry","year":"2023","journal-title":"Nat. Methods"},{"key":"10.1016\/j.isci.2025.112998_bib28","doi-asserted-by":"crossref","first-page":"4255","DOI":"10.1038\/sj.onc.1207727","article-title":"The 8;21 translocation in leukemogenesis","volume":"23","author":"Peterson","year":"2004","journal-title":"Oncogene"},{"key":"10.1016\/j.isci.2025.112998_bib29","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1182\/blood-2009-11-254441","article-title":"Refinement of cytogenetic classification in acute myeloid leukemia: determination of prognostic significance of rare recurring chromosomal abnormalities among 5876 younger adult patients treated in the United Kingdom Medical Research Council trials","volume":"116","author":"Grimwade","year":"2010","journal-title":"Blood"},{"key":"10.1016\/j.isci.2025.112998_bib30","doi-asserted-by":"crossref","DOI":"10.1002\/ctm2.1783","article-title":"Rapid screening of acute promyelocytic leukemia in daily batch specimens: A novel artificial intelligence-enabled approach to bone marrow morphology","volume":"14","author":"Xiao","year":"2024","journal-title":"Clin. Transl. Med."},{"key":"10.1016\/j.isci.2025.112998_bib31","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1182\/bloodadvances.2019000168","article-title":"An update on the molecular pathogenesis and potential therapeutic targeting of AML with t(8;21)(q22;q22.1);RUNX1-RUNX1T1","volume":"4","author":"Al-Harbi","year":"2020","journal-title":"Blood Adv."},{"key":"10.1016\/j.isci.2025.112998_bib32","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1002\/ajh.26812","article-title":"Comparison of the International Consensus and 5th WHO edition classifications of adult myelodysplastic syndromes and acute myeloid leukemia","volume":"98","author":"Falini","year":"2023","journal-title":"Am. J. Hematol."},{"key":"10.1016\/j.isci.2025.112998_bib33","doi-asserted-by":"crossref","first-page":"2073","DOI":"10.1016\/S0140-6736(23)00108-3","article-title":"Acute myeloid leukaemia","volume":"401","author":"DiNardo","year":"2023","journal-title":"Lancet"},{"key":"10.1016\/j.isci.2025.112998_bib34","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1111\/ijlh.12916","article-title":"The immunophenotypic characteristics and flow cytometric scoring system of acute myeloid leukemia with t(8;21) (q22;q22); RUNX1-RUNX1T1","volume":"41","author":"Shang","year":"2019","journal-title":"Int. J. Lab. Hematol."},{"key":"10.1016\/j.isci.2025.112998_bib35","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-023-40424-x","article-title":"High-accuracy morphological identification of bone marrow cells using deep learning-based Morphogo system","volume":"13","author":"Lv","year":"2023","journal-title":"Sci. Rep."},{"key":"10.1016\/j.isci.2025.112998_bib36","article-title":"Detection of Metastatic Tumor Cells in the Bone Marrow Aspirate Smears by Artificial Intelligence (AI)-Based Morphogo System","volume":"11","author":"Chen","year":"2021","journal-title":"Front. Oncol."}],"container-title":["iScience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2589004225012593?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2589004225012593?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T02:26:19Z","timestamp":1777947979000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2589004225012593"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":36,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["S2589004225012593"],"URL":"https:\/\/doi.org\/10.1016\/j.isci.2025.112998","relation":{},"ISSN":["2589-0042"],"issn-type":[{"value":"2589-0042","type":"print"}],"subject":[],"published":{"date-parts":[[2025,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Predicting RUNX1::RUNX1T1 genetic abnormalities in acute myeloid leukemia from bone marrow smears: Can artificial intelligence do better?","name":"articletitle","label":"Article Title"},{"value":"iScience","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.isci.2025.112998","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"112998"}}