Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth.
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| Title: | Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth. |
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| Authors: | Jung M; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea., Lee C; Department of Pathology, Seoul National University Hospital, Seoul, South Korea., Han D; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea.; Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea., Kim K; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea., Yang S; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea., Nikas IP; School of Medicine, European University Cyprus, Nicosia, Cyprus., Moon KC; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Department of Pathology, Seoul National University Hospital, Seoul, South Korea.; Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul, South Korea., Kim H; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea., Song MJ; Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea., Kim B; Department of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea., Lee H; Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea., Ryu HS; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Department of Pathology, Seoul National University Hospital, Seoul, South Korea.; Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea. |
| Source: | Frontiers in oncology [Front Oncol] 2022 Mar 24; Vol. 12, pp. 841398. Date of Electronic Publication: 2022 Mar 24 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35402263 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jung+M%22">Jung M</searchLink>; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+C%22">Lee C</searchLink>; Department of Pathology, Seoul National University Hospital, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Han+D%22">Han D</searchLink>; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea.; Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Yang+S%22">Yang S</searchLink>; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Nikas+IP%22">Nikas IP</searchLink>; School of Medicine, European University Cyprus, Nicosia, Cyprus.<br /><searchLink fieldCode="AU" term="%22Moon+KC%22">Moon KC</searchLink>; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Department of Pathology, Seoul National University Hospital, Seoul, South Korea.; Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+H%22">Kim H</searchLink>; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Song+MJ%22">Song MJ</searchLink>; Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+B%22">Kim B</searchLink>; Department of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+H%22">Lee H</searchLink>; Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+HS%22">Ryu HS</searchLink>; Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea.; Department of Pathology, Seoul National University Hospital, Seoul, South Korea.; Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2022 Mar 24; Vol. 12, pp. 841398. <i>Date of Electronic Publication: </i>2022 Mar 24 (<i>Print Publication: </i>2022). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568867 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2234-943X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222234943X%22">2234943X </searchLink><i>NLM ISO Abbreviation: </i>Front Oncol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35402263 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fonc.2022.841398 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 841398 Titles: – TitleFull: Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jung M – PersonEntity: Name: NameFull: Lee C – PersonEntity: Name: NameFull: Han D – PersonEntity: Name: NameFull: Kim K – PersonEntity: Name: NameFull: Yang S – PersonEntity: Name: NameFull: Nikas IP – PersonEntity: Name: NameFull: Moon KC – PersonEntity: Name: NameFull: Kim H – PersonEntity: Name: NameFull: Song MJ – PersonEntity: Name: NameFull: Kim B – PersonEntity: Name: NameFull: Lee H – PersonEntity: Name: NameFull: Ryu HS IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 03 Text: 2022 Mar 24 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 2234-943X Numbering: – Type: volume Value: 12 Titles: – TitleFull: Frontiers in oncology Type: main |
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