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 stained or labelled tissue sections. Current standards rely on assessment following Haematoxylin and Eosin (H&E) staining, which is often difficult to interpret and introduces inter-observer variability. Here, we present a digital pathology atlas for prostate cancer tissue, using micrographs of both H&E and our 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 greatly assist pathologists to accurately grade prostate cancer tissue samples.
This repository also contains the original image dataset used to generate the case studies for the digital pathology atlas. The data consist of a benign case and cases of ISUP grades from 1 to 5, where initial grading was performed on the hematoxyli..., All images were acquired using a Carl ZEISS AxioScan.Z1 microscope, with a Planapochromat 40x/0.95 objective. Images were orginially stored in the native Carl ZEISS Image format (*.CZI), and then converted to BigTIFF format using Carl ZEISS Zen Blue Software (version 3.8). Lossless compression was also used to minimise file sizes, while retaining image quality. All images can be  using freely available imaging software, such as ImageJ or FiJi., , # Reinterpretation of prostate cancer pathology by Appl1, Sortilin and Syndecan-1 biomarkers

[https://doi.org/10.5061/dryad.v9s4mw749](https://doi.org/10.5061/dryad.v9s4mw749)

We present a digital pathology atlas for prostate cancer tissue, using micrographs of both H&E (hematoxylin and eosin) and our 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 greatly assist pathologists to accurately grade prostate cancer tissue samples. The full set of digital micrographs are also accessible in this repository, along with the grading and patient outcome data.

## Description of the data and file structure

The digital pathology atlas for prostate cancer is a fully interactive portable document format (PDF) file, where users can easily explore high resolution histopathology from various case ...

前列腺癌的组织病理学诊断依赖于对染色或标记组织切片的精准判读。当前临床诊断标准基于苏木精-伊红（Haematoxylin and Eosin, H&E）染色后的镜下评估，但此类判读往往难度较高，且会引入观察者间变异性。

本研究构建了一款前列腺癌组织数字病理图谱，整合了苏木精-伊红染色的显微图像与我们全新开发的三种生物标志物标记图像，作为交互式工具供临床医生与科研人员探索不同病例研究中的高分辨率组织病理学图像。将该前列腺癌数字病理图谱与生物标志物结合使用，可极大辅助病理学家对前列腺癌组织样本进行精准分级。

本仓库同时包含用于构建该数字病理图谱的原始图像数据集。数据涵盖1例良性病例与ISUP（国际泌尿病理学会，International Society of Urological Pathology）分级1至5级的癌病例，初始分级基于苏木精……所有图像均通过卡尔·蔡司（Carl ZEISS）AxioScan.Z1显微镜采集，搭配Planapochromat 40x/0.95物镜。图像最初以卡尔·蔡司原生图像格式（*.CZI）存储，随后通过卡尔·蔡司Zen Blue软件（版本3.8）转换为BigTIFF格式。为在保留图像质量的前提下压缩文件体积，同时采用了无损压缩方案。所有图像可通过ImageJ或FiJi等免费成像软件查看。

# 基于Appl1、Sortilin与Syndecan-1生物标志物重新解读前列腺癌病理

[https://doi.org/10.5061/dryad.v9s4mw749](https://doi.org/10.5061/dryad.v9s4mw749)

本研究发布一款前列腺癌组织数字病理图谱，整合了苏木精-伊红（H&E，Haematoxylin and Eosin）染色的显微图像与我们全新开发的三种生物标志物标记图像，作为交互式工具供临床医生与科研人员探索不同病例研究中的高分辨率组织病理学图像。将该前列腺癌数字病理图谱与生物标志物结合使用，可极大辅助病理学家对前列腺癌组织样本进行精准分级。本仓库同时提供完整的数字化显微图像集，以及分级与患者预后数据。

## 数据与文件结构说明

前列腺癌数字病理图谱为完全交互式可移植文档格式（PDF）文件，用户可便捷探索不同病例中的高分辨率组织病理学图像……