{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,4]],"date-time":"2026-10-04T22:53:47Z","timestamp":1791154427415,"version":"4.1.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T00:00:00Z","timestamp":1783123200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T00:00:00Z","timestamp":1791158400000},"content-version":"vor","delay-in-days":93,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-026-60795-1","type":"journal-article","created":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:26:23Z","timestamp":1783149983000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AI-powered risk factor analysis and development of a predictive model for lymphovascular invasion in bladder urothelial carcinoma"],"prefix":"10.1038","volume":"16","author":[{"given":"Yu","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huan","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinghe","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiqi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deyi","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunfeng","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,4]]},"reference":[{"issue":"3","key":"60795_CR1","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung, H. et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71 (3), 209\u2013249. https:\/\/doi.org\/10.3322\/caac.21660 (2021).","journal-title":"CA Cancer J. Clin."},{"issue":"6","key":"60795_CR2","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1016\/j.eururo.2018.09.001","volume":"74","author":"MGK Cumberbatch","year":"2018","unstructured":"Cumberbatch, M. G. K. et al. Epidemiology of bladder cancer: A systematic review and contemporary update of risk factors in 2018. Eur. Urol. 74 (6), 784\u2013795. https:\/\/doi.org\/10.1016\/j.eururo.2018.09.001 (2018).","journal-title":"Eur. Urol."},{"issue":"1","key":"60795_CR3","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.eururo.2020.05.042","volume":"79","author":"M Roupr\u00eat","year":"2021","unstructured":"Roupr\u00eat, M. et al. European association of urology guidelines on upper urinary tract urothelial carcinoma: 2020 update. Eur. Urol. 79 (1), 62\u201379. https:\/\/doi.org\/10.1016\/j.eururo.2020.05.042 (2021).","journal-title":"Eur. Urol."},{"issue":"1","key":"60795_CR4","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.eururo.2021.08.010","volume":"81","author":"M Babjuk","year":"2022","unstructured":"Babjuk, M. et al. European association of urology guidelines on non\u2013muscle-invasive bladder cancer (ta, T1, and carcinoma in situ). Eur. Urol. 81 (1), 75\u201394. https:\/\/doi.org\/10.1016\/j.eururo.2021.08.010 (2022).","journal-title":"Eur. Urol."},{"issue":"1","key":"60795_CR5","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.eururo.2020.03.055","volume":"79","author":"JA Witjes","year":"2021","unstructured":"Witjes, J. A. et al. European association of urology guidelines on muscle-invasive and metastatic bladder cancer: Summary of the 2020 guidelines. Eur. Urol. 79 (1), 82\u2013104. https:\/\/doi.org\/10.1016\/j.eururo.2020.03.055 (2021).","journal-title":"Eur. Urol."},{"issue":"3","key":"60795_CR6","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1200\/JCO.2001.19.3.666","volume":"19","author":"JP Stein","year":"2001","unstructured":"Stein, J. P. et al. Radical cystectomy in the treatment of invasive bladder cancer: Long-term results in 1,054 patients. J. Clin. Oncol. 19 (3), 666\u2013675. https:\/\/doi.org\/10.1200\/JCO.2001.19.3.666 (2001).","journal-title":"J. Clin. Oncol."},{"issue":"8","key":"60795_CR7","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1038\/nrurol.2016.126","volume":"13","author":"R Mathieu","year":"2016","unstructured":"Mathieu, R., Lucca, I., Roupr\u00eat, M., Briganti, A. & Shariat, S. F. The prognostic role of lymphovascular invasion in urothelial carcinoma of the bladder. Nat. Rev. Urol. 13 (8), 471\u2013479. https:\/\/doi.org\/10.1038\/nrurol.2016.126 (2016).","journal-title":"Nat. Rev. Urol."},{"issue":"8","key":"60795_CR8","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1016\/j.urolonc.2014.05.008","volume":"32","author":"HS Kim","year":"2014","unstructured":"Kim, H. S. et al. Presence of lymphovascular invasion in urothelial bladder cancer specimens after transurethral resections correlates with risk of upstaging and survival: A systematic review and meta-analysis. Urol. Oncol. 32 (8), 1191\u20131199. https:\/\/doi.org\/10.1016\/j.urolonc.2014.05.008 (2014).","journal-title":"Urol. Oncol."},{"issue":"2","key":"60795_CR9","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.euf.2018.09.019","volume":"6","author":"RP Werntz","year":"2020","unstructured":"Werntz, R. P., Smith, Z. L., Packiam, V. T., Smith, N. & Steinberg, G. D. The impact of lymphovascular invasion on risk of upstaging and lymph node metastasis at the time of radical cystectomy. Eur. Urol. Focus. 6 (2), 292\u2013297. https:\/\/doi.org\/10.1016\/j.euf.2018.09.019 (2020).","journal-title":"Eur. Urol. Focus"},{"issue":"2","key":"60795_CR10","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies, R. J., Kinahan, P. E., Hricak, H. & Radiomics Images are more than pictures, they are data. Radiology 278 (2), 563\u2013577. https:\/\/doi.org\/10.1148\/radiol.2015151169 (2016).","journal-title":"Radiology"},{"issue":"8","key":"60795_CR11","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1038\/s41568-018-0016-5","volume":"18","author":"A Hosny","year":"2018","unstructured":"Hosny, A., Parmar, C., Quackenbush, J., Schwartz, L. H. & Aerts, H. J. W. L. Artificial intelligence in radiology. Nat. Rev. Cancer. 18 (8), 500\u2013510. https:\/\/doi.org\/10.1038\/s41568-018-0016-5 (2018).","journal-title":"Nat. Rev. Cancer"},{"issue":"6","key":"60795_CR12","doi-asserted-by":"publisher","first-page":"E1073","DOI":"10.5489\/cuaj.8322","volume":"17","author":"S Malik","year":"2023","unstructured":"Malik, S. et al. Existing trends and applications of artificial intelligence in urothelial cancer: A scoping review. Can. Urol. Assoc. J. 17 (6), E1073\u2013E1080. https:\/\/doi.org\/10.5489\/cuaj.8322 (2023).","journal-title":"Can. Urol. Assoc. J."},{"issue":"3","key":"60795_CR13","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.eururo.2018.04.029","volume":"74","author":"V Panebianco","year":"2018","unstructured":"Panebianco, V. et al. Multiparametric magnetic resonance imaging for bladder cancer: Development of VI-RADS (vesical imaging-reporting and data system). Eur. Urol. 74 (3), 294\u2013306. https:\/\/doi.org\/10.1016\/j.eururo.2018.04.029 (2018).","journal-title":"Eur. Urol."},{"issue":"3","key":"60795_CR14","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.euo.2020.02.007","volume":"3","author":"S Woo","year":"2020","unstructured":"Woo, S. et al. Diagnostic performance of vesical imaging reporting and data system for the prediction of muscle-invasive bladder cancer: A systematic review and meta-analysis. Eur. Urol. Oncol. 3 (3), 306\u2013315. https:\/\/doi.org\/10.1016\/j.euo.2020.02.007 (2020).","journal-title":"Eur. Urol. Oncol."},{"issue":"22","key":"60795_CR15","doi-asserted-by":"publisher","first-page":"6904","DOI":"10.1158\/1078-0432.CCR-17-1510","volume":"23","author":"S Wu","year":"2017","unstructured":"Wu, S. et al. A radiomics nomogram for the preoperative prediction of lymph node metastasis in bladder cancer. Clin. Cancer Res. 23 (22), 6904\u20136911. https:\/\/doi.org\/10.1158\/1078-0432.CCR-17-1510 (2017).","journal-title":"Clin. Cancer Res."},{"issue":"1","key":"60795_CR16","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1186\/s12874-022-01758-8","volume":"22","author":"A Pfob","year":"2022","unstructured":"Pfob, A., Lu, S. C. & Sidey-Gibbons, C. Machine learning in medicine: A practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison. BMC Med. Res. Methodol. 22 (1), 282. https:\/\/doi.org\/10.1186\/s12874-022-01758-8 (2022).","journal-title":"BMC Med. Res. Methodol."},{"key":"60795_CR17","doi-asserted-by":"publisher","first-page":"e074820","DOI":"10.1136\/bmj-2023-074820","volume":"384","author":"RD Riley","year":"2024","unstructured":"Riley, R. D. et al. Evaluation of clinical prediction models (part 2): How to undertake an external validation study. BMJ 384, e074820. https:\/\/doi.org\/10.1136\/bmj-2023-074820 (2024).","journal-title":"BMJ"},{"issue":"4","key":"60795_CR18","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.3390\/jcm14041175","volume":"14","author":"KAN Nguyen","year":"2025","unstructured":"Nguyen, K. A. N. et al. Electronic-medical-record-driven machine learning predictive model for hospital-acquired pressure injuries: Development and external validation. J. Clin. Med. 14 (4), 1175. https:\/\/doi.org\/10.3390\/jcm14041175 (2025).","journal-title":"J. Clin. Med."},{"key":"60795_CR19","doi-asserted-by":"publisher","first-page":"e55492","DOI":"10.2196\/55492","volume":"27","author":"A Campagner","year":"2025","unstructured":"Campagner, A. et al. Complete blood count and monocyte distribution width-based machine learning algorithms for sepsis detection: Multicentric development and external validation study. J. Med. Internet Res. 27, e55492. https:\/\/doi.org\/10.2196\/55492 (2025).","journal-title":"J. Med. Internet Res."},{"issue":"4","key":"60795_CR20","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.eururo.2017.03.030","volume":"72","author":"R Seiler","year":"2017","unstructured":"Seiler, R. et al. Impact of molecular subtypes in muscle-invasive bladder cancer on predicting response and survival after neoadjuvant chemotherapy. Eur. Urol. 72 (4), 544\u2013554. https:\/\/doi.org\/10.1016\/j.eururo.2017.03.030 (2017).","journal-title":"Eur. Urol."},{"issue":"2","key":"60795_CR21","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s10585-024-10273-7","volume":"41","author":"A Burkhard-Meier","year":"2024","unstructured":"Burkhard-Meier, A. et al. Differentiation of benign and metastatic lymph nodes in soft tissue sarcoma. Clin. Exp. Metastasis. 41 (2), 131\u2013141. https:\/\/doi.org\/10.1007\/s10585-024-10273-7 (2024).","journal-title":"Clin. Exp. Metastasis"},{"issue":"6","key":"60795_CR22","doi-asserted-by":"publisher","first-page":"1473","DOI":"10.1007\/s00345-023-04406-y","volume":"41","author":"R Kumar","year":"2023","unstructured":"Kumar, R. et al. Impact of smoking on urologic cancers: A snapshot of current evidence. World J. Urol. 41 (6), 1473\u20131479. https:\/\/doi.org\/10.1007\/s00345-023-04406-y (2023).","journal-title":"World J. Urol."},{"issue":"2","key":"60795_CR23","doi-asserted-by":"publisher","first-page":"90","DOI":"10.5173\/ceju.2023.039","volume":"76","author":"F Zattoni","year":"2023","unstructured":"Zattoni, F. et al. Neutrophil-to-lymphocyte ratio as a prognostic factor for patients with urothelial carcinoma of the bladder following radical cystectomy. Cent. Eur. J. Urol. 76 (2), 90\u2013103. https:\/\/doi.org\/10.5173\/ceju.2023.039 (2023).","journal-title":"Cent. Eur. J. Urol."},{"issue":"2","key":"60795_CR24","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1177\/03915603241308974","volume":"92","author":"A Higazy","year":"2025","unstructured":"Higazy, A., Elsawy, A., Lofty, A., Abdallah, H. M. & Radwan, A. Neutrophils to lymphocytes ratio as a predictor of BCG response in non-muscle invasive bladder cancer. Urologia 92 (2), 237\u2013242. https:\/\/doi.org\/10.1177\/03915603241308974 (2025).","journal-title":"Urologia"},{"issue":"3","key":"60795_CR25","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1016\/j.ajpath.2011.05.031","volume":"179","author":"EM Bekes","year":"2011","unstructured":"Bekes, E. M. et al. Tumor-recruited neutrophils and neutrophil TIMP-free MMP-9 regulate coordinately the levels of tumor angiogenesis and efficiency of malignant cell intravasation. Am. J. Pathol. 179 (3), 1455\u20131470. https:\/\/doi.org\/10.1016\/j.ajpath.2011.05.031 (2011).","journal-title":"Am. J. Pathol."},{"key":"60795_CR26","doi-asserted-by":"publisher","first-page":"1554048","DOI":"10.3389\/fimmu.2025.1554048","volume":"16","author":"\u00c1 Sz\u00e9les","year":"2025","unstructured":"Sz\u00e9les, \u00c1. et al. Prognostic and predictive value of pre-treatment blood-based inflammatory biomarkers in patients with urothelial carcinoma treated with immune checkpoint inhibitors: A systematic review and meta-analysis. Front. Immunol. 16, 1554048. https:\/\/doi.org\/10.3389\/fimmu.2025.1554048 (2025).","journal-title":"Front. Immunol."},{"key":"60795_CR27","doi-asserted-by":"publisher","first-page":"112184","DOI":"10.1016\/j.intimp.2024.112184","volume":"136","author":"J Zhang","year":"2024","unstructured":"Zhang, J. et al. Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer. Int. Immunopharmacol. 136, 112184. https:\/\/doi.org\/10.1016\/j.intimp.2024.112184 (2024).","journal-title":"Int. Immunopharmacol."},{"issue":"1","key":"60795_CR28","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1186\/s40880-018-0269-0","volume":"37","author":"Y Li","year":"2018","unstructured":"Li, Y. et al. Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer. Chin. J. Cancer. 37 (1), 3. https:\/\/doi.org\/10.1186\/s40880-018-0269-0 (2018).","journal-title":"Chin. J. Cancer"},{"key":"60795_CR29","doi-asserted-by":"publisher","first-page":"158","DOI":"10.3389\/fonc.2019.00158","volume":"9","author":"JJ Oh","year":"2019","unstructured":"Oh, J. J. et al. Association between preoperative hydronephrosis and prognosis after radical cystectomy among patients with bladder cancer: A systemic review and meta-analysis. Front. Oncol. 9, 158. https:\/\/doi.org\/10.3389\/fonc.2019.00158 (2019).","journal-title":"Front. Oncol."},{"issue":"7","key":"60795_CR30","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1038\/nrc.2016.52","volume":"16","author":"SB Coffelt","year":"2016","unstructured":"Coffelt, S. B., Wellenstein, M. D. & de Visser, K. E. Neutrophils in cancer: Neutral no more. Nat. Rev. Cancer. 16 (7), 431\u2013446. https:\/\/doi.org\/10.1038\/nrc.2016.52 (2016).","journal-title":"Nat. Rev. Cancer"},{"issue":"2","key":"60795_CR31","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1038\/s41416-020-01048-4","volume":"124","author":"H Raskov","year":"2021","unstructured":"Raskov, H., Orhan, A., Christensen, J. P. & G\u00f6genur, I. Cytotoxic CD8\u2009+\u2009T cells in cancer and cancer immunotherapy. Br. J. Cancer. 124 (2), 359\u2013367. https:\/\/doi.org\/10.1038\/s41416-020-01048-4 (2021).","journal-title":"Br. J. Cancer"},{"issue":"6","key":"60795_CR32","doi-asserted-by":"publisher","first-page":"2090","DOI":"10.1096\/fj.12-227074","volume":"27","author":"A Besaratinia","year":"2013","unstructured":"Besaratinia, A. & Tommasi, S. Genotoxicity of tobacco smoke-derived aromatic amines and bladder cancer: Current state of knowledge and future research directions. FASEB J. 27 (6), 2090\u20132100. https:\/\/doi.org\/10.1096\/fj.12-227074 (2013).","journal-title":"FASEB J."},{"issue":"1","key":"60795_CR33","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1093\/carcin\/bgh275","volume":"26","author":"H Wallerand","year":"2005","unstructured":"Wallerand, H. et al. Mutations in TP53, but not FGFR3, in urothelial cell carcinoma of the bladder are influenced by smoking: Contribution of exogenous versus endogenous carcinogens. Carcinogenesis 26 (1), 177\u2013184. https:\/\/doi.org\/10.1093\/carcin\/bgh275 (2005).","journal-title":"Carcinogenesis"},{"key":"60795_CR34","doi-asserted-by":"publisher","first-page":"696676","DOI":"10.3389\/fonc.2021.696676","volume":"11","author":"Y Lao","year":"2021","unstructured":"Lao, Y. et al. Association between alcohol consumption and risk of bladder cancer: A dose-response meta-analysis of prospective cohort studies. Front. Oncol. 11, 696676. https:\/\/doi.org\/10.3389\/fonc.2021.696676 (2021).","journal-title":"Front. Oncol."},{"issue":"8","key":"60795_CR35","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1038\/nrc2191","volume":"7","author":"HK Seitz","year":"2007","unstructured":"Seitz, H. K. & Stickel, F. Molecular mechanisms of alcohol-mediated carcinogenesis. Nat. Rev. Cancer. 7 (8), 599\u2013612. https:\/\/doi.org\/10.1038\/nrc2191 (2007).","journal-title":"Nat. Rev. Cancer"},{"issue":"12","key":"60795_CR36","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1016\/j.urolonc.2021.04.026","volume":"39","author":"F Claps","year":"2021","unstructured":"Claps, F. et al. Prognostic value of preoperative albumin-to-fibrinogen ratio (AFR) in patients with bladder cancer treated with radical cystectomy. Urol. Oncol. 39 (12), 835. e9-835.e17 (2021).","journal-title":"Urol. Oncol."},{"issue":"6","key":"60795_CR37","doi-asserted-by":"publisher","first-page":"5846","DOI":"10.3390\/ijms24065846","volume":"24","author":"H Ofner","year":"2023","unstructured":"Ofner, H., Laukhtina, E., Hassler, M. R. & Shariat, S. F. Blood-Based Biomarkers as Prognostic Factors of Recurrent Disease after Radical Cystectomy: A Systematic Review and Meta-Analysis. Int. J. Mol. Sci. 24 (6), 5846. https:\/\/doi.org\/10.3390\/ijms24065846 (2023).","journal-title":"Int. J. Mol. Sci."},{"issue":"2","key":"60795_CR38","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1111\/bju.15379","volume":"129","author":"VM Schuettfort","year":"2022","unstructured":"Schuettfort, V. M. et al. A panel of systemic inflammatory response biomarkers for outcome prediction in patients treated with radical cystectomy for urothelial carcinoma. BJU Int. 129 (2), 182\u2013193. https:\/\/doi.org\/10.1111\/bju.15379 (2022).","journal-title":"BJU Int."},{"key":"60795_CR39","doi-asserted-by":"publisher","first-page":"1482141","DOI":"10.3389\/frai.2024.1482141","volume":"7","author":"O Barmak","year":"2024","unstructured":"Barmak, O. et al. Toward explainable deep learning in healthcare through transition matrix and user-friendly features. Front. Artif. Intell. 7, 1482141. https:\/\/doi.org\/10.3389\/frai.2024.1482141 (2024).","journal-title":"Front. Artif. Intell."},{"issue":"11","key":"60795_CR40","doi-asserted-by":"publisher","first-page":"e70056","DOI":"10.1111\/cts.70056","volume":"17","author":"AV Ponce-Bobadilla","year":"2024","unstructured":"Ponce-Bobadilla, A. V., Schmitt, V., Maier, C. S., Mensing, S. & Stodtmann, S. Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development. Clin. Transl Sci. 17 (11), e70056. https:\/\/doi.org\/10.1111\/cts.70056 (2024).","journal-title":"Clin. Transl Sci."},{"key":"60795_CR41","doi-asserted-by":"publisher","first-page":"1636358","DOI":"10.3389\/fonc.2025.1636358","volume":"15","author":"R Feng","year":"2025","unstructured":"Feng, R. et al. Multimodal prognostic models for bladder urothelial carcinoma: Uroplakin III combined with serum and demographic data. Front. Oncol. 15, 1636358. https:\/\/doi.org\/10.3389\/fonc.2025.1636358 (2025).","journal-title":"Front. Oncol."},{"issue":"828","key":"60795_CR42","doi-asserted-by":"publisher","first-page":"eadu8484","DOI":"10.1126\/scitranslmed.adu8484","volume":"17","author":"M Xu","year":"2025","unstructured":"Xu, M. et al. A hyperactive splice variant of STAT3 promotes colonic inflammation-associated tumorigenesis in mice. Sci. Transl Med. 17 (828), eadu8484. https:\/\/doi.org\/10.1126\/scitranslmed.adu8484 (2025).","journal-title":"Sci. Transl Med."},{"issue":"5","key":"60795_CR43","doi-asserted-by":"publisher","first-page":"102","DOI":"10.3892\/mco.2021.2264","volume":"14","author":"K Kuroda","year":"2021","unstructured":"Kuroda, K., Tasaki, S., Asakuma, J., Horiguchi, A. & Ito, K. Preoperative risk stratification using plasma fibrinogen levels can predict lymphovascular invasion and poor prognosis in patients with upper urinary tract urothelial carcinoma. Mol. Clin. Oncol. 14 (5), 102. https:\/\/doi.org\/10.3892\/mco.2021.2264 (2021).","journal-title":"Mol. Clin. Oncol."},{"issue":"49","key":"60795_CR44","doi-asserted-by":"publisher","first-page":"e46355","DOI":"10.1097\/MD.0000000000046355","volume":"104","author":"A Dabbagh","year":"2025","unstructured":"Dabbagh, A., Madadi, F. & Ebrahimi, M. Translational medicine: An effective approach to improve healthcare by research and innovation in developing countries. Med. (Baltim). 104 (49), e46355. https:\/\/doi.org\/10.1097\/MD.0000000000046355 (2025).","journal-title":"Med. (Baltim)."},{"issue":"5","key":"60795_CR45","doi-asserted-by":"publisher","first-page":"ezaf142","DOI":"10.1093\/ejcts\/ezaf142","volume":"67","author":"GP Martin","year":"2025","unstructured":"Martin, G. P., Riley, R. D., Ensor, J. & Grant, S. W. Statistical primer: Sample size considerations for developing and validating clinical prediction models. Eur. J. Cardiothorac. Surg. 67 (5), ezaf142. https:\/\/doi.org\/10.1093\/ejcts\/ezaf142 (2025).","journal-title":"Eur. J. Cardiothorac. Surg."},{"key":"60795_CR46","doi-asserted-by":"publisher","first-page":"e00938","DOI":"10.1016\/j.btre.2025.e00938","volume":"48","author":"P Sibilio","year":"2025","unstructured":"Sibilio, P., De Smaele, E., Paci, P. & Conte, F. Integrating multi-omics data: Methods and applications in human complex diseases. Biotechnol. Rep. (Amst). 48, e00938. https:\/\/doi.org\/10.1016\/j.btre.2025.e00938 (2025).","journal-title":"Biotechnol. Rep. (Amst)"},{"issue":"1","key":"60795_CR47","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1186\/s13040-025-00442-z","volume":"18","author":"W Jiang","year":"2025","unstructured":"Jiang, W., Ye, W., Tan, X. & Bao, Y. J. Network-based multi-omics integrative analysis methods in drug discovery: A systematic review. BioData Min. 18 (1), 27. https:\/\/doi.org\/10.1186\/s13040-025-00442-z (2025).","journal-title":"BioData Min."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-60795-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-60795-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-60795-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,4]],"date-time":"2026-10-04T22:47:25Z","timestamp":1791154045000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-026-60795-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,4]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["60795"],"URL":"https:\/\/doi.org\/10.1038\/s41598-026-60795-1","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,4]]},"assertion":[{"value":"4 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study represents a retrospective analysis of data derived from routine clinical practice. The research protocol received ethical approval from the Institutional Review Board of Bishan Hospital Affiliated to Chongqing Medical University, with official ethics documentation duly issued.","order":2,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The patients have given their consent for all patient data utilized in this study, informed consent was obtained from all subjects and \/or their legal guardian(s).","order":3,"name":"Ethics","label":"Consent to Publish","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"30740"}}