Mesh : Prostatic Neoplasms / pathology Male Humans Biomarkers, Tumor Syndecan-1 / analysis Adaptor Proteins, Vesicular Transport Adaptor Proteins, Signal Transducing

来  源:   DOI:10.1038/s41597-024-03696-0   PDF(Pubmed)

Abstract:
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.
摘要:
使用组织病理学诊断前列腺癌依赖于前列腺组织切片的准确解释。目前的标准依赖于苏木精和伊红(H&E)染色的评估,这可能很难解释和引入观察者之间的可变性。这里,我们提出了一个数字病理学图集和前列腺癌组织显微照片的在线资源,用于H&E和使用一组新的三个生物标志物作为交互工具的样本的重新解释。临床医生和科学家可以从各种案例研究中探索高分辨率的组织病理学。数字病理学前列腺癌图谱与生物标志物结合使用时,将协助病理学家准确分级前列腺癌组织样本。
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