Evidence map›Paper›PMID 42250007›Full record

ArticleInternational urology and nephrology2026

Charting the unseen: 3D mapping of latent prostate cancer infers its likely origin and growth patterns.

Shijie Jin, Zhiyuan Yang, Zhipeng Mai, Yuliang Chen, Miao Ren, Yi Zhou, Wenze Wang, Yu Xiao, Zhien Zhou, Weigang Yan

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Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

10 authors.

Shijie JinDepartment of Urology, Peking Union Medical College Hospital, Beijing, China.
Zhiyuan YangSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Zhipeng MaiDepartment of Urology, Peking Union Medical College Hospital, Beijing, China.
Yuliang ChenDepartment of Urology, Peking Union Medical College Hospital, Beijing, China.
Miao RenDepartment of Urology, Peking Union Medical College Hospital, Beijing, China.
Yi ZhouDepartment of Urology, Peking Union Medical College Hospital, Beijing, China.
Wenze WangDepartment of Pathology, Peking Union Medical College Hospital, Beijing, China.
Yu XiaoDepartment of Pathology, Peking Union Medical College Hospital, Beijing, China.
Zhien ZhouDepartment of Urology, Peking Union Medical College Hospital, Beijing, China.
Weigang YanDepartment of Urology, Peking Union Medical College Hospital, Beijing, China. yanweigang@pumch.cn.

Funding

CAMS Innovation Fund for Medical Sciences 2025-I2M-C&T-B-009National-High-Level Hospital Clinical Research Funding of Peking Union Medical College Hospital 2025-PUMCH-C-049
6 · The paper itself

Abstract

purposeLatent prostate cancers discovered at autopsy may represent the earliest, subclinical stage of the disease. This study aimed to construct three-dimensional (3D) spatial distribution maps of these tumors to infer their likely origin and growth patterns.

methodsA total of 161 tumor lesions from 230 cadaver donors were stratified by volume (V1: 0-0.05 ml; V2: 0.05-0.1 ml; V3: 0.1-0.5 ml; V4: > 0.5 ml) and registered to a standardized MRI-based reference prostate model using Advanced Normalization Tools. Two-dimensional frequency maps were generated per axial layer and stacked into a 3D map.

resultsThe smallest tumors (V1) originated almost exclusively in the peripheral zone (83.5%), concentrated in the apical two-thirds of the gland (95.9%), with a uniform distribution across the anterior-posterior and left-right axes. As tumor volume increased (V2 to V4), three distinct growth patterns emerged: (1) increased invasion into the transition zone; (2) horizontal convergence into three "hotspots"-the anterior midline and bilateral posterolateral regions; and (3) vertical concentration within layers III to IX. A compact "susceptible region" occupying only 9.8% of the gland volume harbored 88.2% of the largest (V4) tumors.

conclusionLatent prostate cancers appear to originate predominantly within the apical-to-mid peripheral zone with an initially uniform spatial distribution. Their growth is anisotropic, favoring the anterior midline and bilateral posterolateral zones while concentrating vertically within the central 20-40% of the prostatic height. These spatial patterns point to target areas that may improve biopsy strategies and focal therapy planning.

Indexed as

AutopsyImage processingProstatic neoplasmSpatial analysisTumor growth

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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.