Evidence map›Paper›PMID 40799501›Full record

ArticleClinical Medicine Insights. Oncology2025

Purine Nucleoside Phosphorylase (PNP) as a Biomarker and Therapeutic Target in Muscle-Invasive Bladder Cancer.

Yanfei Chen, Peiyi Xian, Jianming Lu, Le Zhang, Chao Cai, Weide Zhong

Abstract read
In one paragraph

Article in Clinical Medicine Insights. Oncology, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yanfei ChenDepartment of Urology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Peiyi XianThe Third Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jianming LuDepartment of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-3794-641X
Le ZhangInstitute for Integrative Genome Biology, University of California, Riverside, CA, USA.
Chao CaiGuangdong Provincial Key Laboratory of Urology, Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Weide ZhongSchool of Medicine, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-0430-2845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates the potential of purine nucleoside phosphorylase (PNP) as a biomarker and therapeutic target in muscle-invasive bladder cancer (MIBC). We aimed to explore PNP's expression, prognostic value, and role in metabolic pathways, along with its association with gene mutations. Methods: We conducted multi-omics analyses using data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and other public databases to evaluate PNP expression across MIBC samples and its prognostic impact through Kaplan-Meier and Cox regression analyses. Functional enrichment and gene set variation analysis (GSVA) were performed to identify PNP-related pathways. In addition, Results: Our findings revealed that PNP is significantly overexpressed in MIBC tissues and serves as an independent prognostic factor, correlating with poor clinical outcomes across multiple cohorts (TCGA: hazard ratio [HR] > 1.3, Conclusion: This study underscores PNP's role as a promising biomarker and therapeutic target in MIBC.

Indexed as

immunotherapymulti-omicsMuscle-invasive bladder cancerprognosispurine nucleoside phosphorylase

Identifiers

PMID40799501
PMCPMC12340192

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.