Evidence map›Paper›PMID 40894278›Full record

ArticleCurrent urology2025

Gene and pathway analysis of genome-wide genetic associations of bladder cancer.

Mingjun Shi, Xiangyu Meng, Xuan Xu, Qiaoli Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current urology, 2025. 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

4 authors.

Mingjun ShiDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xiangyu MengHealth Science Center, Hubei Minzu University, Enshi, China.ORCID https://orcid.org/0000-0001-5669-3502
Xuan XuFirst Affiliated Hospital of Anhui Medical University, Hefei, China.
Qiaoli WangDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although genetic variants associated with bladder cancer (BCa) risk have been identified through hypothesis-driven and genome-wide association studies, a systematic understanding of BCa genetic susceptibility at the gene and pathway levels remains to be achieved. Materials and methods: In this 2-stage functional genomics study, we used 5 independent tools for genome-wide gene mapping and ranking based on BCa genome-wide association studies summary statistics, followed by a meta-analysis of gene-level significance Results: Other than the well-known BCa genes (such as Conclusions: We identified several novel genes associated with BCa and demonstrated that genetic variants contribute to the development of BCa by affecting antitumor immunity, response to toxic exposure, and RNA and protein homeostasis and synergizing with somatic alterations in various cancer-related pathways.

Indexed as

Bladder cancerFunctional annotationGenetic susceptibilityGenome-wide association studiesPathway analysis

Identifiers

PMID40894278
PMCPMC12398375

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Registered trials

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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.