Reinterpretation of prostate cancer pathology by Appl1, Sortilin and Syndecan-1 biomarkers.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
08 Aug 2024
08 Aug 2024
Historique:
received:
31
01
2024
accepted:
26
07
2024
medline:
9
8
2024
pubmed:
9
8
2024
entrez:
8
8
2024
Statut:
epublish
Résumé
The diagnosis of prostate cancer using histopathology is reliant on the accurate interpretation of prostate tissue sections. Current standards rely on the assessment of Haematoxylin and Eosin (H&E) staining, which can be difficult to interpret and introduce inter-observer variability. Here, we present a digital pathology atlas and online resource of prostate cancer tissue micrographs for both H&E and the reinterpretation of samples using a novel set of three biomarkers as an interactive tool, where clinicians and scientists can explore high resolution histopathology from various case studies. The digital pathology prostate cancer atlas when used in conjunction with the biomarkers, will assist pathologists to accurately grade prostate cancer tissue samples.
Identifiants
pubmed: 39117701
doi: 10.1038/s41597-024-03696-0
pii: 10.1038/s41597-024-03696-0
doi:
Substances chimiques
Biomarkers, Tumor
0
Syndecan-1
0
Adaptor Proteins, Vesicular Transport
0
sortilin
Z020Y8WIJ4
Adaptor Proteins, Signal Transducing
0
Types de publication
Journal Article
Dataset
Langues
eng
Sous-ensembles de citation
IM
Pagination
852Subventions
Organisme : Department of Health | National Health and Medical Research Council (NHMRC)
ID : GNT1092904
Informations de copyright
© 2024. The Author(s).
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