AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer
Biochemical recurrence (BCR) of prostate cancer (PCa) negatively impacts patients' post-surgery quality of life, and the traditional predictive models have shown limited accuracy. This study develops an AI-based prognostic model using deep learning that incorporates androgen receptor (AR) regional features from whole-slide images (WSIs). Data from 545 patients across two centres are used for training and validation. The model showed strong performances, with high accuracy in identifying regions with high AR expression and BCR prediction. This AI model may help identify high-risk patients, aiding in better treatment strategies, particularly in underdeveloped areas.
Authors
- Xiangxue Wang
- Huixing Chen
- Zonghao You
- Jianbin Jing
- I‐Ming Chen (ORCID: https://orcid.org/0000-0002-4831-3781)
- Jiawei Zhang (ORCID: https://orcid.org/0000-0002-1624-9535)
- Boyun Liang (ORCID: https://orcid.org/0000-0001-8997-7907)
- Yitian Guo (ORCID: https://orcid.org/0000-0003-2832-6507)
- Dongfang Jiang (ORCID: https://orcid.org/0000-0002-6858-583X)
- Feng Ding (ORCID: https://orcid.org/0000-0002-9546-0514)
- Xiaoying Wei (ORCID: https://orcid.org/0000-0002-5562-7439)
- Zhongying Guo (ORCID: https://orcid.org/0009-0007-6977-6113)
- Yifeng Xue
- Xiaobing Niu
- Feng Xu (ORCID: https://orcid.org/0000-0002-7827-2319)
Institutions
- Jiangsu University (CN)
- Xuzhou Medical College (CN)
- Shanghai Jiao Tong University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Nanjing University of Information Science and Technology (CN)
- Peking Union Medical College Hospital (CN)
- Fuyang City People's Hospital (CN)
- The Fifth People's Hospital of Anyang (CN)
- Huaian First People’s Hospital (CN)
- Honghu People’s Hospital (CN)
- The First People's Hospital of Changzhou (CN)
- Zhongda Hospital Southeast University (CN)
- Jintan People's Hospital (CN)
- Second People’s Hospital of Huai’an (CN)
- Shanghai First People's Hospital (CN)
- Jingning County People's Hospital (CN)
- Southeast University (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1038/s41598-025-88199-7
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Southeast University