Evidence map›Paper›PMID 35039218›Full record

SynthesisUrologic oncology2022

Gene network profiling in muscle-invasive bladder cancer: A systematic review and meta-analysis.

Ilaha Isali, Phillip McClellan, Adam Calaway, Megan Prunty, Phillip Abbosh, Kirtishri Mishra, Lee Ponsky, Sarah Markt, Sarah P Psutka, Laura Bukavina

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Urologic oncology, 2022. 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
0.9field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

10 authors at 4 institutions in 1 country.

Ilaha IsaliDepartment of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH.
Phillip McClellanDepartment of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH.
Adam CalawayDepartment of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH; Case Comprehensive Cancer Center, Case Western Reserve School of Medicine, Cleveland, OH.
Megan PruntyDepartment of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH.
Phillip AbboshDepartment of Urology, Fox Chase Cancer Center, Philadelphia, PA.
Kirtishri MishraDepartment of Urology, Fox Chase Cancer Center, Philadelphia, PA.
Lee PonskyDepartment of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH; Case Comprehensive Cancer Center, Case Western Reserve School of Medicine, Cleveland, OH.
Sarah MarktDepartment of Population and Quantitative Health Science, Case Western Reserve School of Medicine, Cleveland, OH.
Sarah P PsutkaDepartment of Urology, University of Washington School of Medicine, Seattle, WA.
Laura BukavinaDepartment of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH; Case Comprehensive Cancer Center, Case Western Reserve School of Medicine, Cleveland, OH. Electronic address: laura.bukavina@fccc.edu.
University Hospitals of Cleveland · USCase Western Reserve University · USFox Chase Cancer Center · USUniversity of Washington · US

Funding

KUH-TN Training CoreTL1DK132770 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI Evi X. Stavrou · 2021 to 2026
$2.5M
NIDDK NIH HHS TL1 DK132770
6 · The paper itself

Abstract

backgroundDetermining meta-analysis of transcriptional profiling of muscle-invasive bladder cancer (MIBC) through Gene Expression Omnibus (GEO) datasets has not been investigated. This study aims to define gene expression profiles in MIBC and to identify potential candidate genes and pathways.

objectivesTo review and evaluate gene expression studies in MIBC through publicly available RNA sequencing (RNA-Seq) and microarray data in order to identify potential prognostic and therapeutic targets for MIBC.

methodsA systematic literature search of the Ovid MEDLINE, PubMed, and Wiley Cochrane Central Register of Controlled Trials databases was performed using the terms "gene," "gene expression," and "bladder cancer" January 1, 1990 through March 2021 focused on populations with MIBC.

resultsIn the final analysis, GEO datasets were included. Fixed effect model was employed in the meta-analysis. Gene networking connections and gene-set functional analyses of the identified genes as differentially expressed in MIBC were performed using ImaGEO and GeneMANIA software. A heatmap for the upregulated and downregulated genes was generated along with the correlated pathways.

conclusionA total of 9 genes were reported in this analysis. Six genes were reported as upregulated (ProTα, SPINT1, UBE2E1, RAB25, KPNB1, HDAC1) and 3 genes as downregulated (NUP188, IPO13, NUP124). Genes were found to be involved in "ubiquitin mediated proteolysis," "protein processing in endoplasmic reticulum," "transcriptional misregulation in cancer," and "RNA transport" pathways.

Indexed as

Urinary Bladder NeoplasmsFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleMusclesNeoplasm InvasivenessPrognosisrab GTP-Binding ProteinsRab25 protein, humanrab GTP-Binding ProteinsBladder cancerGene expressionMuscle-invasive bladder cancerUrothelial cancer

Identifiers

PMID35039218
PMCPMC10123538
OpenAlexW4205871624

What OpenQuestion holds

Textmetadata
LicenceTDM
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.