Evidence map›Paper›PMID 34885040›Full record

ArticleCancers2021

Identification of Key Genes Associated with Progression and Prognosis of Bladder Cancer through Integrated Bioinformatics Analysis.

Shiv Verma, Eswar Shankar, Spencer Lin, Vaibhav Singh, E Ricky Chan, Shufen Cao, Pingfu Fu, Gregory T MacLennan, Lee E Ponsky, Sanjay Gupta

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Shiv VermaDepartment of Urology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
Eswar ShankarDepartment of Urology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-8968-838X
Spencer LinDepartment of Urology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
Vaibhav SinghDepartment of Inflammation and Immunity, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
E Ricky ChanDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-9277-5329
Shufen CaoDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.
Pingfu FuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0002-2334-5218
Gregory T MacLennanDepartment of Pathology, Case Western Reserve University, Cleveland, OH 44106, USA.
Lee E PonskyDepartment of Urology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
Sanjay GuptaDepartment of Urology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0002-9492-3249
University Hospitals of Cleveland · USCase Western Reserve University · USCleveland Clinic · US

Funding

U.S. Department of Defense W81XWH-18-1-0618U.S. Department of Defense W81XWH-19-1-0720U.S. Department of Veterans Affairs 1I01BX002494
6 · The paper itself

Abstract

Bladder cancer prognosis remains dismal due to lack of appropriate biomarkers that can predict its progression. The study aims to identify novel prognostic biomarkers associated with the progression of bladder cancer by utilizing three Gene Expression Omnibus (GEO) datasets to screen differentially expressed genes (DEGs). A total of 1516 DEGs were identified between non-muscle invasive and muscle invasive bladder cancer specimens. To identify genes of prognostic value, we performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A total of seven genes, including

Indexed as

bioinformaticsbiomarkersmuscle invasive bladder cancernon-muscle invasive bladder cancerpredictionprognosis

Identifiers

PMID34885040
PMCPMC8656554
OpenAlexW3215893207

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.