Evidence map›Paper›PMID 34988018›Full record

ArticleFrontiers in oncology2021

Identification and Validation of Hub Genes Associated with Bladder Cancer by Integrated Bioinformatics and Experimental Assays.

Kang Chen, Ji Xing, Weimin Yu, Yuqi Xia, Yunlong Zhang, Fan Cheng, Ting Rao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  7. Evaluation of the Small Heat Shock Protein Family MembersInternational journal of molecular sciences · 2023
    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

7 authors at 2 institutions in 1 country.

Kang ChenDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Ji XingDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Weimin YuDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Yuqi XiaDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Yunlong ZhangDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Fan ChengDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Ting RaoDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer (BC) is the most common malignant tumor of the urinary system and is associated with high morbidity and mortality; however, the molecular mechanism underlying its occurrence is not clear. In this study, the gene expression profile and related clinical information of GSE13507 were downloaded from the Gene Expression Omnibus (GEO) database. RNA sequencing (RNA-seq) expression data and related clinical information were retrieved from The Cancer Genome Atlas (TCGA) database. Overlapping genes were identified by differential gene expression analysis and weighted gene co-expression network analysis (WGCNA). Then, we carried out functional enrichment analysis to understand the potential biological functions of these co-expressed genes. Finally, we performed a protein-protein interaction (PPI) analysis combined with survival analysis. Using the CytoHubba plug-in of Cytoscape,

Indexed as

bladder cancerdifferential gene expression analysisGEOprotein–protein interaction networksurvival analysisTCGAtumor microenvironmentweighted gene co-expression network analysis

Identifiers

PMID34988018
PMCPMC8721040
OpenAlexW4200451465

What OpenQuestion holds

Textmetadata
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.