Evidence map›Paper›PMID 40583027›Full record

ArticleThe world journal of men's health2026

Single-Cell Analysis Combined with Mendelian Randomization Identifies Genes Associated with Prostate Cancer Cells.

Weizhuo Wang, Kaiyu Lu, Xi Zhang, Kai Wei, Gang Cheng, Zheng Tang, Mingwei Zhan, Caibin Fan, Xu Fu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The world journal of men's health, 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. JUNB and JUND in Urological Cancers: A Literature Review.Current issues in molecular biology · 2025
    Review
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

9 authors.

Weizhuo Wang *Department of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.ORCID https://orcid.org/0000-0002-6599-9674
Kaiyu Lu *Department of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.ORCID https://orcid.org/0009-0005-4053-9312
Xi ZhangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-0422-8980
Kai WeiDepartment of Urology, Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0003-2172-0018
Gang ChengDepartment of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.ORCID https://orcid.org/0009-0003-4290-7452
Zheng TangDepartment of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.ORCID https://orcid.org/0009-0001-6214-2384
Mingwei ZhanDepartment of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.ORCID https://orcid.org/0009-0001-0864-0905
Caibin FanDepartment of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China. 876274635@qq.com.ORCID https://orcid.org/0009-0000-2042-1097
Xu FuDepartment of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China. xufu0306@foxmail.com.ORCID https://orcid.org/0009-0009-6348-8430

Funding

Suzhou Clinical Medical Center for Urological Diseases Szlcyxzx202106
6 · The paper itself

Abstract

purposeProstate cancer is the second most common male cancer, with incidence increasing with age. When prostate cancer extends beyond the prostatic capsule, treatment options and prognosis change significantly. This study aims to investigate prognostic genes related to capsular invasion in prostate cancer by integrating single-cell data with Mendelian randomization (MR) analysis. MATERIALS AND

methodsSingle-cell sequencing data from six prostate cancer cases were obtained from the Gene Expression Omnibus (GEO) database. Cell clustering and annotation were performed using R, and high-dimensional weighted gene co-expression network analysis (hdWGCNA) identified differentially expressed genes in advanced-stage cancer. Single nucleotide polymorphism loci corresponding to these genes were retrieved from the UK Biobank (UKB), and MR exposure data were acquired from the ukb-b-13348 dataset. MR analysis assessed the impact of hdWGCNA-identified genes. Clinical and gene expression data from TCGA and GEO were analyzed using univariate Cox regression to evaluate gene effects on prognosis. Cellular functional experiments and immunohistochemistry assessed gene expression and function in prostate cancer.

resultsWe employed the Seurat package for quality control and integration of single-cell data from four patients. hdWGCNA identified three modules, from which 200 genes were selected. The combined analysis of eQTL and MR revealed that

conclusionsThese findings suggest that

Indexed as

BiomarkersMendelian randomization analysisProstatic neoplasmsSingle-cell gene expression analysisTumor microenvironment

Identifiers

PMID40583027
PMCPMC12798317

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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.