Reinterpretation of prostate cancer pathology by Appl1, Sortilin and Syndecan-1 biomarkers

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 p...

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Bibliographic Details
Published in:Scientific data 2024-08, Vol.11 (1), p.852-10, Article 852
Main Authors: Logan, Jessica M., Martini, Carmela, Sorvina, Alexandra, Johnson, Ian R. D., Brooks, Robert D., Caruso, Maria C., Huzzell, Chelsea, Moore, Courtney R., Karageorgos, Litsa, Butler, Lisa M., Tewari, Prerna, Prabhakaran, Sarita, Hickey, Shane M., Klebe, Sonja, Samaratunga, Hemamali, Delahunt, Brett, Moretti, Kim, O’Leary, John J., Brooks, Douglas A., Ung, Ben S.-Y.
Format: Article
Language:English
Subjects:
631/67/1857
692/53/2423
Adaptor Proteins, Signal Transducing
Adaptor Proteins, Vesicular Transport
Biomarkers
Biomarkers, Tumor
Case studies
Clinical medicine
Data Descriptor
Health sciences
Histopathology
Humanities and Social Sciences
Humans
Labeling
Male
Medical research
Morphology
multidisciplinary
Pathology
Prostate cancer
Prostatic Neoplasms - pathology
Science
Science (multidisciplinary)
Syndecan
Syndecan-1 - analysis
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Summary: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.
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-024-03696-0