Evidence map›Paper›PMID 39893198›Full record

ArticleScientific reports2025

AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer.

Jiawei Zhang, Feng Ding, Yitian Guo, Xiaoying Wei, Jibo Jing, Feng Xu, Huixing Chen, Zhongying Guo, Zonghao You, Baotai Liang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jiawei ZhangDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Feng DingNanjing University of Information Science and Technology, Nanjing, China.
Yitian GuoDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Xiaoying WeiDepartment of Medical College, Southeast University, Nanjing, China.
Jibo JingDepartment of Urology, Peking Union Medical College Hospital, Beijing, China.
Feng XuJinhu County People's Hospital, Huai'an, China.
Huixing ChenShanghai General Hospital, Urologic Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhongying GuoDepartment of Pathology, Huaian First People's Hospital, Huai'an, China.
Zonghao YouDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Baotai LiangDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Ming ChenDepartment of Urology, Zhongda Hospital, Southeast University, Nanjing, China.
Dongfang JiangDepartment of Urology, The People's Hospital of Danyang, Danyang, China. 13912823872@163.com.
Xiaobing NiuDepartment of Urology, Huaian First People's Hospital, Huai'an, China. nxbhayy@163.com.
Xiangxue WangNanjing University of Information Science and Technology, Nanjing, China. xwang@nuist.edu.cn.
Yifeng XueThe Affiliated Jintan Hospital of Jiangsu University, Changzhou, China. 494809908@qq.com.

Funding

National Natural Science Foundation of China 82102799National Natural Science Foundation of China 82203151Natural Science Foundation of Jiangsu Province BK20210230the Start-up Fund of Zhongda Hospital of Southeast University CZXM-GSP-RC56-Y.GZhongda Hospital Affiliated to Southeast University, Jiangsu Province High-Level Hospital Pairing Assistance Construction Funds zdyyxy33
6 · The paper itself

Abstract

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.

Indexed as

Prostatic NeoplasmsReceptors, AndrogenAgedBiomarkers, TumorDeep LearningHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisAR protein, humanBiomarkers, TumorReceptors, Androgen

Identifiers

PMID39893198
PMCPMC11787347

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.