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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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dc.contributor.author정민선-
dc.date.accessioned2022-07-08T03:06:59Z-
dc.date.available2022-07-08T03:06:59Z-
dc.date.issued2022-03-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/188672-
dc.description.abstractBackground: The molecular biology of inverted urothelial papilloma (IUP) as a precursor disease of urothelial carcinoma is poorly understood. Furthermore, the overlapping histology between IUP and papillary urothelial carcinoma (PUC) with inverted growth is a diagnostic pitfall leading to frequent misdiagnoses. Methods: To identify the oncologic significance of IUP and discover a novel biomarker for its diagnosis, we employed mass spectrometry-based proteomic analysis of IUP, PUC, and normal urothelium (NU). Machine learning analysis shortlisted candidate proteins, while subsequent immunohistochemical validation was performed in an independent sample cohort. Results: From the overall proteomic landscape, we found divergent 'NU-like' (low-risk) and 'PUC-like' (high-risk) signatures in IUP. The latter were characterized by altered metabolism, biosynthesis, and cell-cell interaction functions, indicating oncologic significance. Further machine learning-based analysis revealed SERPINH1, PKP2, and PYGB as potential diagnostic biomarkers discriminating IUP from PUC. The immunohistochemical validation confirmed PYGB as a specific biomarker to distinguish between IUP and PUC with inverted growth. Conclusion: In conclusion, we suggest PYGB as a promising immunohistochemical marker for IUP diagnosis in routine practice.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherFrontiers Research Foundation-
dc.relation.isPartOfFRONTIERS IN ONCOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleProteomic-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-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pathology (병리학교실)-
dc.contributor.googleauthorMinsun Jung-
dc.contributor.googleauthorCheol Lee-
dc.contributor.googleauthorDohyun Han-
dc.contributor.googleauthorKwangsoo Kim-
dc.contributor.googleauthorSunah Yang-
dc.contributor.googleauthorIlias P Nikas-
dc.contributor.googleauthorKyung Chul Moon-
dc.contributor.googleauthorHyeyoon Kim-
dc.contributor.googleauthorMin Ji Song-
dc.contributor.googleauthorBohyun Kim-
dc.contributor.googleauthorHyebin Lee-
dc.contributor.googleauthorHan Suk Ryu-
dc.identifier.doi10.3389/fonc.2022.841398-
dc.contributor.localIdA06280-
dc.relation.journalcodeJ03512-
dc.identifier.eissn2234-943X-
dc.identifier.pmid35402263-
dc.subject.keywordbiomarkers-
dc.subject.keyworddifferential diagnosis-
dc.subject.keywordimmunohistochemistry-
dc.subject.keywordinverted urothelial papilloma-
dc.subject.keywordmachine learning analysis-
dc.subject.keywordpapillary urothelial carcinoma-
dc.subject.keywordtandem mass spectrometry (MS/MS)-
dc.subject.keywordtransitional cell carcinoma (TCC)-
dc.contributor.alternativeNameJung, Minsun-
dc.contributor.affiliatedAuthor정민선-
dc.citation.volume12-
dc.citation.startPage841398-
dc.identifier.bibliographicCitationFRONTIERS IN ONCOLOGY, Vol.12 : 841398, 2022-03-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers

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