{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T14:52:22Z","timestamp":1792680742206,"version":"4.5.0"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T00:00:00Z","timestamp":1770163200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T00:00:00Z","timestamp":1770681600000},"content-version":"vor","delay-in-days":6,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation","doi-asserted-by":"crossref","award":["82100171"],"award-info":[{"award-number":["82100171"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation","doi-asserted-by":"crossref","award":["82100425"],"award-info":[{"award-number":["82100425"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation","doi-asserted-by":"crossref","award":["82200291"],"award-info":[{"award-number":["82200291"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clin Exp Med"],"DOI":"10.1007\/s10238-026-02061-2","type":"journal-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T14:44:27Z","timestamp":1770216267000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Alternative splicing events show high prognostic values and  indicate potential core genes in acute myeloid leukemia"],"prefix":"10.1007","volume":"26","author":[{"given":"Shu","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linying","family":"An","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yin","family":"Tong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yin","family":"Tong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,4]]},"reference":[{"key":"2061_CR1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm5030033","author":"JN Saultz","year":"2016","unstructured":"Saultz JN, Garzon R. Acute myeloid leukemia: a concise review. J Clin Med. 2016. https:\/\/doi.org\/10.3390\/jcm5030033.","journal-title":"J Clin Med"},{"key":"2061_CR2","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1182\/blood-2016-08-733196","volume":"129","author":"H Dohner","year":"2017","unstructured":"Dohner H, Estey E, Grimwade D, et al. Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 2017;129:424\u201347. https:\/\/doi.org\/10.1182\/blood-2016-08-733196.","journal-title":"Blood"},{"issue":"8","key":"2061_CR3","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1007\/s00277-014-2072-6","volume":"93","author":"M Port","year":"2014","unstructured":"Port M, B\u00f6ttcher M, Thol F, et al. Prognostic significance of FLT3 internal tandem duplication, nucleophosmin 1, and CEBPA gene mutations for acute myeloid leukemia patients with normal karyotype and younger than 60 years: a systematic review and meta-analysis. Ann Hematol. 2014;93(8):1279\u201386. https:\/\/doi.org\/10.1007\/s00277-014-2072-6.","journal-title":"Ann Hematol"},{"key":"2061_CR4","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1111\/imr.12241","volume":"263","author":"CN Hahn","year":"2015","unstructured":"Hahn CN, Venugopal P, Scott HS, Hiwase DK. Splice factor mutations and alternative splicing as drivers of hematopoietic malignancy. Immunol Rev. 2015;263:257\u201378. https:\/\/doi.org\/10.1111\/imr.12241.","journal-title":"Immunol Rev"},{"key":"2061_CR5","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00122","volume":"6","author":"AD Norris","year":"2012","unstructured":"Norris AD, Calarco JA. Emerging roles of alternative pre-mRNA splicing regulation in neuronal development and function. Front Neurosci. 2012;6:122. https:\/\/doi.org\/10.3389\/fnins.2012.00122.","journal-title":"Front Neurosci"},{"key":"2061_CR6","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1038\/nature07509","volume":"456","author":"ET Wang","year":"2008","unstructured":"Wang ET, Sandberg R, Luo S, Khrebtukova I, Zhang L, Mayr C, Kingsmore SF, Schroth GP, Burge CB. Alternative isoform regulation in human tissue transcriptomes. Nature. 2008;456:470\u20136. https:\/\/doi.org\/10.1038\/nature07509.","journal-title":"Nature"},{"key":"2061_CR7","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1146\/annurev.biochem.72.121801.161720","volume":"72","author":"DL Black","year":"2003","unstructured":"Black DL. Mechanisms of alternative pre-messenger RNA splicing. Annu Rev Biochem. 2003;72:291\u2013336. https:\/\/doi.org\/10.1146\/annurev.biochem.72.121801.161720.","journal-title":"Annu Rev Biochem"},{"key":"2061_CR8","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1007\/s12185-013-1477-7","volume":"99","author":"G Grech","year":"2014","unstructured":"Grech G, Pollacco J, Portelli M, et al. Expression of different functional isoforms in haematopoiesis. Int J Hematol. 2014;99:4\u201311. https:\/\/doi.org\/10.1007\/s12185-013-1477-7.","journal-title":"Int J Hematol"},{"key":"2061_CR9","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1038\/nrm.2017.27","volume":"18","author":"FE Baralle","year":"2017","unstructured":"Baralle FE, Giudice J. Alternative splicing as a regulator of development and tissue identity. Nat Rev Mol Cell Biol. 2017;18:437\u201351. https:\/\/doi.org\/10.1038\/nrm.2017.27.","journal-title":"Nat Rev Mol Cell Biol"},{"key":"2061_CR10","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1158\/1541-7786.MCR-12-0695","volume":"11","author":"CA Larsson","year":"2013","unstructured":"Larsson CA, Cote G, Quintas-Cardama A. The changing mutational landscape of acute myeloid leukemia and myelodysplastic syndrome. Mol Cancer Res. 2013;11:815\u201327. https:\/\/doi.org\/10.1158\/1541-7786.MCR-12-0695.","journal-title":"Mol Cancer Res"},{"key":"2061_CR11","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.ebiom.2018.09.021","volume":"36","author":"Y Xiong","year":"2018","unstructured":"Xiong Y, Deng Y, Wang K, et al. Profiles of alternative splicing in colorectal cancer and their clinical significance: a study based on large-scale sequencing data. EBioMedicine. 2018;36:183\u201395. https:\/\/doi.org\/10.1016\/j.ebiom.2018.09.021.","journal-title":"EBioMedicine"},{"key":"2061_CR12","doi-asserted-by":"publisher","first-page":"5878","DOI":"10.18632\/aging.102983","volume":"12","author":"D Zhao","year":"2020","unstructured":"Zhao D, Zhang C, Jiang M, et al. Survival-associated alternative splicing signatures in non-small cell lung cancer. Aging Albany NY. 2020;12:5878\u201393. https:\/\/doi.org\/10.18632\/aging.102983.","journal-title":"Aging Albany NY"},{"key":"2061_CR13","doi-asserted-by":"publisher","first-page":"263","DOI":"10.18632\/aging.101753","volume":"11","author":"L Gao","year":"2019","unstructured":"Gao L, Xie ZC, Pang JS, et al. A novel alternative splicing-based prediction model for uteri corpus endometrial carcinoma. Aging Albany NY. 2019;11:263\u201383. https:\/\/doi.org\/10.18632\/aging.101753.","journal-title":"Aging Albany NY"},{"key":"2061_CR14","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1093\/carcin\/bgy123","volume":"40","author":"S Mao","year":"2019","unstructured":"Mao S, Li Y, Lu Z, Che Y, Sun S, Huang J, et al. Survival-associated alternative splicing signatures in esophageal carcinoma. Carcinogenesis. 2019;40:121\u201330. https:\/\/doi.org\/10.1093\/carcin\/bgy123.","journal-title":"Carcinogenesis"},{"key":"2061_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.biosystems.2016.10.006","volume":"149","author":"J Bourdon","year":"2016","unstructured":"Bourdon J, Roux O. Computational methods in systems biology. Biosystems. 2016;149:1\u20132. https:\/\/doi.org\/10.1016\/j.biosystems.2016.10.006.","journal-title":"Biosystems"},{"key":"2061_CR16","doi-asserted-by":"publisher","first-page":"e1476","DOI":"10.1002\/wrna.1476","volume":"9","author":"LM Urbanski","year":"2018","unstructured":"Urbanski LM, Leclair N, Anczukow O. Alternative-splicing defects in cancer: splicing regulators and their downstream targets, guiding the way to novel cancer therapeutics. Wiley Interdiscip Rev RNA. 2018;9:e1476. https:\/\/doi.org\/10.1002\/wrna.1476.","journal-title":"Wiley Interdiscip Rev RNA"},{"key":"2061_CR17","doi-asserted-by":"publisher","first-page":"8270","DOI":"10.18632\/aging.102319","volume":"11","author":"X Huang","year":"2019","unstructured":"Huang X, Liu J, Mo X, et al. Systematic profiling of alternative splicing events and splicing factors in left- and right-sided colon cancer. Aging Albany NY. 2019;11:8270\u201393. https:\/\/doi.org\/10.18632\/aging.102319.","journal-title":"Aging Albany NY"},{"key":"2061_CR18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0079106","volume":"8","author":"C Xie","year":"2013","unstructured":"Xie C, Drenberg C, Edwards H, et al. Panobinostat enhances cytarabine and daunorubicin sensitivities in AML cells through suppressing the expression of BRCA1, CHK1, and Rad51. PLoS One. 2013;8:e79106. https:\/\/doi.org\/10.1371\/journal.pone.0079106.","journal-title":"PLoS One"},{"key":"2061_CR19","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1111\/j.1600-0609.2009.01371.x","volume":"84","author":"HB Ommen","year":"2010","unstructured":"Ommen HB, Ostergaard M, Yan M, et al. Persistent altered fusion transcript splicing identifies RUNX1-RUNX1T1\u2009+\u2009AML patients likely to relapse. Eur J Haematol. 2010;84:128\u201332. https:\/\/doi.org\/10.1111\/j.1600-0609.2009.01371.x.","journal-title":"Eur J Haematol"},{"key":"2061_CR20","doi-asserted-by":"publisher","first-page":"2816","DOI":"10.1182\/blood-2013-02-481507","volume":"123","author":"S Adamia","year":"2014","unstructured":"Adamia S, Bar-Natan M, Haibe-Kains B, et al. NOTCH2 and FLT3 gene mis-splicings are common events in patients with acute myeloid leukemia (AML): new potential targets in AML. Blood. 2014;123:2816\u201325. https:\/\/doi.org\/10.1182\/blood-2013-02-481507.","journal-title":"Blood"},{"key":"2061_CR21","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1002\/ijc.21995","volume":"119","author":"M Wagner","year":"2006","unstructured":"Wagner M, Schmelz K, Wuchter C, et al. In vivo expression of survivin and its splice variant survivin-2B: impact on clinical outcome in acute myeloid leukemia. Int J Cancer. 2006;119:1291\u20137. https:\/\/doi.org\/10.1002\/ijc.21995.","journal-title":"Int J Cancer"},{"key":"2061_CR22","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1186\/s13045-016-0315-9","volume":"9","author":"R de Necochea-Campion","year":"2016","unstructured":"de Necochea-Campion R, Shouse GP, Zhou Q, et al. Aberrant splicing and drug resistance in AML. J Hematol Oncol. 2016;9:85. https:\/\/doi.org\/10.1186\/s13045-016-0315-9.","journal-title":"J Hematol Oncol"},{"key":"2061_CR23","doi-asserted-by":"publisher","first-page":"3925","DOI":"10.1073\/pnas.0900189106","volume":"106","author":"AE Abrahamsson","year":"2009","unstructured":"Abrahamsson AE, Geron I, Gotlib J, et al. Glycogen synthase kinase 3\u03b2 missplicing contributes to leukemia stem cell generation. Proc Natl Acad Sci U S A. 2009;106:3925\u20139. https:\/\/doi.org\/10.1073\/pnas.0900189106.","journal-title":"Proc Natl Acad Sci U S A"},{"key":"2061_CR24","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1007\/s12185-009-0286-5","volume":"89","author":"L Vassen","year":"2009","unstructured":"Vassen L, Khandanpour C, Ebeling P, et al. Growth factor independent 1b (Gfi1b) and a new splice variant of Gfi1b are highly expressed in patients with acute and chronic leukemia. Int J Hematol. 2009;89:422\u201330. https:\/\/doi.org\/10.1007\/s12185-009-0286-5.","journal-title":"Int J Hematol"},{"key":"2061_CR25","doi-asserted-by":"publisher","first-page":"2215","DOI":"10.1016\/j.celrep.2017.08.012","volume":"20","author":"H Climente-Gonzalez","year":"2017","unstructured":"Climente-Gonzalez H, Porta-Pardo E, Godzik A, et al. The functional impact of alternative splicing in cancer. Cell Rep. 2017;20:2215\u201326. https:\/\/doi.org\/10.1016\/j.celrep.2017.08.012.","journal-title":"Cell Rep"},{"key":"2061_CR26","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1016\/j.molcel.2012.05.037","volume":"46","author":"JD Ellis","year":"2012","unstructured":"Ellis JD, Barrios-Rodiles M, Colak R, et al. Tissue-specific alternative splicing remodels protein-protein interaction networks. Mol Cell. 2012;46:884\u201392. https:\/\/doi.org\/10.1016\/j.molcel.2012.05.037.","journal-title":"Mol Cell"},{"key":"2061_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/10428194.2020.1742898","volume":"8","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Xiao L. Identification and validation of a prognostic 8-gene signature for acute myeloid leukemia. Leuk Lymphoma. 2020;8:1\u20138. https:\/\/doi.org\/10.1080\/10428194.2020.1742898.","journal-title":"Leuk Lymphoma"},{"key":"2061_CR28","doi-asserted-by":"publisher","first-page":"3958","DOI":"10.1002\/jcb.27679","volume":"120","author":"R Zhu","year":"2019","unstructured":"Zhu R, Lin W, Zhao W, et al. A 4-microRNA signature for survival prognosis in pediatric and adolescent acute myeloid leukemia. J Cell Biochem. 2019;120:3958\u201368. https:\/\/doi.org\/10.1002\/jcb.27679.","journal-title":"J Cell Biochem"},{"key":"2061_CR29","doi-asserted-by":"publisher","first-page":"1473","DOI":"10.3892\/mmr.2018.9139","volume":"18","author":"F Wang","year":"2018","unstructured":"Wang F, Tian X, Zhou J, et al. A three lncRNA signature for prognosis prediction of acute myeloid leukemia in patients. Mol Med Rep. 2018;18:1473\u201384. https:\/\/doi.org\/10.3892\/mmr.2018.9139.","journal-title":"Mol Med Rep"},{"key":"2061_CR30","doi-asserted-by":"publisher","first-page":"4999","DOI":"10.12659\/MSM.917182","volume":"25","author":"P Tang","year":"2019","unstructured":"Tang P, Xie M, Wei Y, et al. A 10-long non-coding rna-based expression signature as a potential biomarker for prognosis of acute myeloid leukemia. Med Sci Monit. 2019;25:4999\u20135004. https:\/\/doi.org\/10.12659\/MSM.917182.","journal-title":"Med Sci Monit"},{"key":"2061_CR31","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1004289","volume":"10","author":"FY Zong","year":"2014","unstructured":"Zong FY, Fu X, Wei WJ, et al. The RNA-binding protein QKI suppresses cancer-associated aberrant splicing. PLoS Genet. 2014;10:e1004289. https:\/\/doi.org\/10.1371\/journal.pgen.1004289.","journal-title":"PLoS Genet"},{"key":"2061_CR32","doi-asserted-by":"publisher","first-page":"2413","DOI":"10.1038\/onc.2015.318","volume":"35","author":"A Sveen","year":"2016","unstructured":"Sveen A, Kilpinen S, Ruusulehto A, et al. Aberrant RNA splicing in cancer; expression changes and driver mutations of splicing factor genes. Oncogene. 2016;35:2413\u201327. https:\/\/doi.org\/10.1038\/onc.2015.318.","journal-title":"Oncogene"},{"key":"2061_CR33","doi-asserted-by":"publisher","first-page":"3097","DOI":"10.1016\/j.celrep.2019.05.039","volume":"27","author":"A Cooke","year":"2019","unstructured":"Cooke A, Schwarzl T, Huppertz I, et al. The RNA-binding protein YBX3 controls amino acid levels by regulating SLC mRNA abundance. Cell Rep. 2019;27:3097\u2013106. https:\/\/doi.org\/10.1016\/j.celrep.2019.05.039.","journal-title":"Cell Rep"},{"key":"2061_CR34","doi-asserted-by":"publisher","first-page":"2769","DOI":"10.1042\/BCJ20170956","volume":"475","author":"KC Kleene","year":"2018","unstructured":"Kleene KC. Y-box proteins combine versatile cold shock domains and arginine-rich motifs (ARMs) for pleiotropic functions in RNA biology. Biochem J. 2018;475:2769\u201384. https:\/\/doi.org\/10.1042\/BCJ20170956.","journal-title":"Biochem J"},{"key":"2061_CR35","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1681\/ASN.2009070698","volume":"21","author":"WR Lima","year":"2010","unstructured":"Lima WR, Parreira KS, Devuyst O, et al. ZONAB promotes proliferation and represses differentiation of proximal tubule epithelial cells. J Am Soc Nephrol. 2010;21:478\u201388. https:\/\/doi.org\/10.1681\/ASN.2009070698.","journal-title":"J Am Soc Nephrol"},{"key":"2061_CR36","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1101\/gr.473902","volume":"12","author":"J Rappsilber","year":"2002","unstructured":"Rappsilber J, Ryder U, Lamond AI, et al. Large-scale proteomic analysis of the human spliceosome. Genome Res. 2002;12:1231\u201345. https:\/\/doi.org\/10.1101\/gr.473902.","journal-title":"Genome Res"},{"key":"2061_CR37","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1038\/nature01031","volume":"419","author":"Z Zhou","year":"2002","unstructured":"Zhou Z, Licklider LJ, Gygi SP, et al. Comprehensive proteomic analysis of the human spliceosome. Nature. 2002;419:182\u20135. https:\/\/doi.org\/10.1038\/nature01031.","journal-title":"Nature"},{"key":"2061_CR38","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1093\/bib\/bbw139","volume":"19","author":"S van Dam","year":"2018","unstructured":"van Dam S, Vosa U, van der Graaf A, et al. Gene co-expression analysis for functional classification and gene-disease predictions. Brief Bioinform. 2018;19:575\u201392. https:\/\/doi.org\/10.1093\/bib\/bbw139.","journal-title":"Brief Bioinform"},{"key":"2061_CR39","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1182\/blood.v98.3.513","volume":"98","author":"Z Lian","year":"2001","unstructured":"Lian Z, Wang L, Yamaga S, et al. Genomic and proteomic analysis ofthe myeloid differentiation program. Blood. 2001;98:513\u201324. https:\/\/doi.org\/10.1182\/blood.v98.3.513.","journal-title":"Blood"},{"key":"2061_CR40","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1101\/gr.228080.117","volume":"28","author":"J Fan","year":"2018","unstructured":"Fan J, Lee HO, Lee S, et al. Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data. Genome Res. 2018;28:1217\u201327. https:\/\/doi.org\/10.1101\/gr.228080.117.","journal-title":"Genome Res"},{"key":"2061_CR41","doi-asserted-by":"publisher","first-page":"1457","DOI":"10.1111\/cas.12532","volume":"105","author":"JJ Wong","year":"2014","unstructured":"Wong JJ, Lau KA, Pinello N, et al. Epigenetic modifications of splicing factor genes in myelodysplastic syndromes and acute myeloid leukemia. Cancer Sci. 2014;105:1457\u201363. https:\/\/doi.org\/10.1111\/cas.12532.","journal-title":"Cancer Sci"},{"key":"2061_CR42","doi-asserted-by":"publisher","unstructured":"Flavia M, Mariadomenica L, Alessandra M, et al. TBC1D22B regulates ER-to-Golgi trafficking via RAB1B inactivation and promotes oncogenic programs in breast cancer. Adv Sci (Weinh). 2025;29e02269. https:\/\/doi.org\/10.1002\/advs.202502269.","DOI":"10.1002\/advs.202502269"},{"issue":"1","key":"2061_CR43","doi-asserted-by":"publisher","first-page":"101404","DOI":"10.1016\/j.jcmgh.2024.101404","volume":"19","author":"L Nianli","year":"2025","unstructured":"Nianli L, Jinqiang Z, Weina C, et al. RBM39 enhances cholangiocarcinoma growth through EZH2-mediated WNT7B\/\u03b2-catenin pathway. Cell Mol Gastroenterol Hepatol. 2025;19(1):101404. https:\/\/doi.org\/10.1016\/j.jcmgh.2024.101404.","journal-title":"Cell Mol Gastroenterol Hepatol"},{"key":"2061_CR44","doi-asserted-by":"publisher","unstructured":"Hongyan H, Jing Y, Jin M et al. Developing a prognostic model of glutamine metabolism-related genes associated with clinical features and immune status in melanoma. Front Oncol. 2025:20:151485006. https:\/\/doi.org\/10.3389\/fonc.2025.1485006","DOI":"10.3389\/fonc.2025.1485006"},{"key":"2061_CR45","doi-asserted-by":"publisher","DOI":"10.1126\/scisignal.2004088","volume":"6","author":"J Gao","year":"2013","unstructured":"Gao J, Aksoy BA, Dogrusoz U, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6:pl1. https:\/\/doi.org\/10.1126\/scisignal.2004088.","journal-title":"Sci Signal"},{"key":"2061_CR46","doi-asserted-by":"publisher","first-page":"D1018","DOI":"10.1093\/nar\/gkv1288","volume":"44","author":"M Ryan","year":"2016","unstructured":"Ryan M, Wong WC, Brown R, et al. TCGA SpliceSeq a compendium of alternative mRNA splicing in cancer. Nucleic Acids Res. 2016;44:D1018\u20131022. https:\/\/doi.org\/10.1093\/nar\/gkv1288.","journal-title":"Nucleic Acids Res"},{"key":"2061_CR47","doi-asserted-by":"publisher","first-page":"333","DOI":"10.2217\/epi-2019-0349","volume":"12","author":"E Zhang","year":"2020","unstructured":"Zhang E, Hou X, Hou B, et al. A risk prediction model of DNA methylation improves prognosis evaluation and indicates gene targets in prostate cancer. Epigenomics. 2020;12:333\u201352. https:\/\/doi.org\/10.2217\/epi-2019-0349.","journal-title":"Epigenomics"},{"key":"2061_CR48","doi-asserted-by":"publisher","first-page":"1983","DOI":"10.1109\/TVCG.2014.2346248","volume":"20","author":"A Lex","year":"2014","unstructured":"Lex A, Gehlenborg N, Strobelt H, et al. Visualization of intersecting sets. IEEE Trans Vis Comput Graph. 2014;20:1983\u201392. https:\/\/doi.org\/10.1109\/TVCG.2014.2346248.","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"2061_CR49","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.ymeth.2014.10.036","volume":"72","author":"LM Butcher","year":"2015","unstructured":"Butcher LM, Beck S. Probe lasso: a novel method to rope in differentially methylated regions with 450K DNA methylation data. Methods. 2015;72:21\u20138. https:\/\/doi.org\/10.1016\/j.ymeth.2014.10.036.","journal-title":"Methods"},{"key":"2061_CR50","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1111\/j.0006-341x.2000.00337.x","volume":"56","author":"PJ Heagerty","year":"2000","unstructured":"Heagerty PJ, Lumley T, Pepe MS. Time-dependent roc curves for censored survival data and a diagnostic marker. Biometrics. 2000;56:337\u201344. https:\/\/doi.org\/10.1111\/j.0006-341x.2000.00337.x.","journal-title":"Biometrics"},{"key":"2061_CR51","doi-asserted-by":"publisher","unstructured":"Goldman M, Craft B, Hastie M et al. The UCSC Xena platform for cancer genomics data visualization and interpretation. 2019. https:\/\/doi.org\/10.1101\/326470","DOI":"10.1101\/326470"}],"container-title":["Clinical and Experimental Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10238-026-02061-2","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10238-026-02061-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10238-026-02061-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T01:35:09Z","timestamp":1770687309000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10238-026-02061-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,4]]},"references-count":51,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["2061"],"URL":"https:\/\/doi.org\/10.1007\/s10238-026-02061-2","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-7730948\/v1","asserted-by":"object"}]},"ISSN":["1591-9528"],"issn-type":[{"value":"1591-9528","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,4]]},"assertion":[{"value":"28 September 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 February 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Human Ethics and Consent to Participate declarations: not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"143"}}