Evidence map›Paper›PMID 31681575›Full record

ArticleFrontiers in oncology2019

Novel Biomarkers Associated With Progression and Prognosis of Bladder Cancer Identified by Co-expression Analysis.

Yejinpeng Wang, Liang Chen, Lingao Ju, Kaiyu Qian, Xuefeng Liu, Xinghuan Wang, Yu Xiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 64 citations in OpenAlex.

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  11. ScreeningFrontiers in genetics · 2023
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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 3 institutions in 2 countries.

Yejinpeng WangDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Liang ChenDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Lingao JuDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Kaiyu QianDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xuefeng LiuDepartment of Pathology, Lombardi Comprehensive Cancer Center, Georgetown University Medical School, Washington, DC, United States.
Xinghuan WangDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yu XiaoDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNZhongnan Hospital of Wuhan University · CNGeorgetown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study's goal was to screen novel biomarkers that could accurately predict the progression and prognosis of bladder cancer (BC). Firstly, we used the Gene Expression Omnibus (GEO) dataset GSE37815 to screen differentially expressed genes (DEGs). Secondly, we used the DEGs to construct a co-expression network by weighted gene co-expression network analysis (WGCNA) in GSE71576. We then screened the brown module, which was significantly correlated with the histologic grade (

Indexed as

bladder cancer (BC)gene-set enrichment analysis (GSEA)protein-protein interaction (PPI)The Cancer Genome Atlas (TCGA) datasetweighted co-expression network analysis (WGCNA)

Identifiers

PMID31681575
PMCPMC6799077
OpenAlexW2979683520

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.