Evidence map›Paper›PMID 39779467›Full record

ReviewJournal of cellular and molecular medicine2025

The Role of SWI/SNF Complex in Bladder Cancer.

Zixiao Lei, Yanfeng Han, Jiejun Liao, Xiaohong Li, Qisheng Su, Zheng Yang

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Zixiao LeiDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Yanfeng HanDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Jiejun LiaoDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Xiaohong LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Qisheng SuDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.ORCID 0000-0003-3858-1018
Zheng YangDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer originates from bladder tissues and is the ninth most common type of cancer worldwide. The SWI/SNF (SWItch/sucrose non- fermentable) complex plays a crucial role in regulating various biological processes, such as cell cycle control, DNA damage repair and transcription regulation. The purpose of this article is to examine the functional studies of the SWI/SNF complex in bladder cancer, highlighting new pathways for creating personalised treatment approaches for bladder cancer patients with mutations in the SWI/SNF complex. By acquiring a comprehensive understanding of the mechanisms of the SWI/SNF complex in bladder cancer, we can offer more precise and effective solutions to treat this disease.

Indexed as

DNA-Binding ProteinsUrinary Bladder NeoplasmsAnimalsChromosomal Proteins, Non-HistoneDNA RepairGene Expression Regulation, NeoplasticHumansMutationTranscription FactorsChromosomal Proteins, Non-HistoneDNA-Binding ProteinsTranscription Factorsbladder cancerpersonalised treatmentSWI/SNF complex

Identifiers

PMID39779467
PMCPMC11710939

What OpenQuestion holds

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LicenceCC BY
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.