Liquid biopsy based on multi-targeted capture of urinary tumor DNA combined with machine learning to detect urothelial carcinoma: a multicenter prospective study.
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| Title: | Liquid biopsy based on multi-targeted capture of urinary tumor DNA combined with machine learning to detect urothelial carcinoma: a multicenter prospective study. |
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| Authors: | Tang C; Department of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China., Wang T; Department of Urology, Shanghai Eighth People's Hospital, Shanghai, 200235, China., Luo H; Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Xue J; Department of Urology, Shanghai Eighth People's Hospital, Shanghai, 200235, China. xuejingdong@126.com.; Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China. xuejingdong@126.com., Zhu M; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China., Hong Z; Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China., Ding F; Physical Examination Center, Shanghai Eighth People's Hospital, Shanghai, 200235, China., Zhang F; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China., Zhu Y; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China., Tan R; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China. roy.tan@biovuetech.cn., Wu D; Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China. wudenglong2009@tongji.edu.cn. |
| Source: | International urology and nephrology [Int Urol Nephrol] 2026 Apr; Vol. 58 (4), pp. 1291-1306. Date of Electronic Publication: 2025 Sep 25. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 0262521 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2584 (Electronic) Linking ISSN: 03011623 NLM ISO Abbreviation: Int Urol Nephrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40996609 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Liquid biopsy based on multi-targeted capture of urinary tumor DNA combined with machine learning to detect urothelial carcinoma: a multicenter prospective study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tang+C%22">Tang C</searchLink>; Department of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.<br /><searchLink fieldCode="AU" term="%22Wang+T%22">Wang T</searchLink>; Department of Urology, Shanghai Eighth People's Hospital, Shanghai, 200235, China.<br /><searchLink fieldCode="AU" term="%22Luo+H%22">Luo H</searchLink>; Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.<br /><searchLink fieldCode="AU" term="%22Xue+J%22">Xue J</searchLink>; Department of Urology, Shanghai Eighth People's Hospital, Shanghai, 200235, China. xuejingdong@126.com.; Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China. xuejingdong@126.com.<br /><searchLink fieldCode="AU" term="%22Zhu+M%22">Zhu M</searchLink>; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China.<br /><searchLink fieldCode="AU" term="%22Hong+Z%22">Hong Z</searchLink>; Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.<br /><searchLink fieldCode="AU" term="%22Ding+F%22">Ding F</searchLink>; Physical Examination Center, Shanghai Eighth People's Hospital, Shanghai, 200235, China.<br /><searchLink fieldCode="AU" term="%22Zhang+F%22">Zhang F</searchLink>; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China.<br /><searchLink fieldCode="AU" term="%22Zhu+Y%22">Zhu Y</searchLink>; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China.<br /><searchLink fieldCode="AU" term="%22Tan+R%22">Tan R</searchLink>; Shanghai Biovuetech Co., Ltd, Shanghai, 200063, China. roy.tan@biovuetech.cn.<br /><searchLink fieldCode="AU" term="%22Wu+D%22">Wu D</searchLink>; Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China. wudenglong2009@tongji.edu.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220262521%22">International urology and nephrology</searchLink> [Int Urol Nephrol] 2026 Apr; Vol. 58 (4), pp. 1291-1306. <i>Date of Electronic Publication: </i>2025 Sep 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0262521 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2584 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203011623%22">03011623 </searchLink><i>NLM ISO Abbreviation: </i>Int Urol Nephrol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40996609 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11255-025-04813-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1291 Titles: – TitleFull: Liquid biopsy based on multi-targeted capture of urinary tumor DNA combined with machine learning to detect urothelial carcinoma: a multicenter prospective study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tang C – PersonEntity: Name: NameFull: Wang T – PersonEntity: Name: NameFull: Luo H – PersonEntity: Name: NameFull: Xue J – PersonEntity: Name: NameFull: Zhu M – PersonEntity: Name: NameFull: Hong Z – PersonEntity: Name: NameFull: Ding F – PersonEntity: Name: NameFull: Zhang F – PersonEntity: Name: NameFull: Zhu Y – PersonEntity: Name: NameFull: Tan R – PersonEntity: Name: NameFull: Wu D IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Apr Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1573-2584 Numbering: – Type: volume Value: 58 – Type: issue Value: 4 Titles: – TitleFull: International urology and nephrology Type: main |
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