Evidence map›Paper›PMID 41923163›Full record

ArticleJournal of translational medicine2026

Oxidative stress reprograms benign prostatic hyperplasia microenvironments: insights from integrative multi-omics and machine learning.

Jie Chen, Jingxing Bai, Bo Chen, Yin Huang, Jinze Li, Zeyu Chen, Biao Ran, Qiang Wei, Jianzhong Ai, Liangren Liu and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

11 authors.

Jie Chen *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jingxing Bai *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Bo Chen *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yin HuangDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jinze LiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Zeyu ChenDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Biao RanDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Qiang WeiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jianzhong AiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China. ajz6363@126.com.
Liangren LiuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China. liuliangren@scu.edu.cn.
Dehong CaoDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China. caodehong@scu.edu.cn.ORCID 0000-0001-7310-8299

Funding

Key Research Projects of the Ministry of Science and Technology 2022YFC3602905National Natural Science Foundation of China 82000721, 82170784, 82370775
6 · The paper itself

Abstract

backgroundOxidative stress (OS) is increasingly implicated in benign prostatic hyperplasia (BPH), yet the underlying cellular programs remain unclear. We integrated multi-omics and machine learning to identify OS-associated biomarkers and to characterize OS-linked stromal states, with targeted experimental validation.

methodsTwo bulk transcriptomic datasets (12 BPH, 16 controls) were integrated to identify DEGs and OS-associated DEGs, followed by WGCNA, enrichment analyses, and four machine-learning algorithms to prioritize hub genes and build a diagnostic nomogram. Consensus clustering defined molecular subtypes. Candidate compounds were screened in silico. Single-cell RNA-seq (124,616 cells) and spatial transcriptomics were analyzed for OS scoring, trajectories, and inferred intercellular communication. Experimentally, WPMY-1 prostatic stromal cells were exposed to LPS to induce OS; intracellular ROS (flow cytometry), ACOX2 expression (RT-qPCR/western blot), proliferation (EdU), and apoptosis (Annexin V) were assessed under ACOX2 overexpression or shRNA knockdown. ACOX2 expression in human prostate tissues was evaluated by immunohistochemistry.

resultsWe identified 499 DEGs and 26 OS-DEGs. Machine learning converged on three upregulated hub genes: ACOX2, CTSB, and SERPINF1, which with diagnostic AUCs of 0.880 (0.753-1.000), 0.828 (0.663-0.993), and 0.854 (0.711-0.997); however, given the modest sample size, these findings should be interpreted as hypothesis-generating. Two BPH subtypes were identified (immune-infiltrated vs. non-immune). Single-cell analyses showed elevated OS scores across cell types, highest in fibroblasts; ACOX2-high fibroblasts were expanded in BPH and exhibited trajectory-associated increases in ACOX2 with enriched inferred signaling (including TNFSF12-TNFRSF12A). Spatial transcriptomics revealed regional OS heterogeneity and spatial association of hub-gene expression with OS-enriched areas. In vitro, LPS increased ROS and upregulated ACOX2, ACOX2 overexpression increased proliferation and reduced apoptosis, whereas knockdown showed opposite effects and attenuated LPS-associated proliferative phenotypes. IHC showed stronger ACOX2 staining in hyperplastic vs. normal prostate tissues.

conclusionsThese results nominate ACOX2, CTSB, and SERPINF1 as candidate OS-associated markers in BPH and support a hypothesis-generating multi-omics signature that warrants validation in larger independent human cohorts. Experimental perturbation and tissue staining provide validation for an ACOX2-associated activation-like phenotype under OS, motivating biomarker-guided stratification and OS-targeted therapeutic exploration.

Indexed as

Cellular MicroenvironmentMachine LearningMultiomicsOxidative StressProstatic HyperplasiaApoptosisCell ProliferationGene Expression ProfilingHumansLipopolysaccharidesMaleReactive Oxygen SpeciesStromal CellsTranscriptomeLipopolysaccharidesReactive Oxygen SpeciesACOX2Benign prostatic hyperplasiaFibroblastOxidative stressSingle-cell RNA-seqSpatial transcriptomics

Identifiers

PMID41923163
PMCPMC13169760

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.