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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