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pmid:35291419

Identification of hub genes and pathways in bladder cancer using bioinformatics analysis.

Danhui Li · Fan Zhen · Jianwei Le · Guodong Chen · Jianhua Zhu

American journal of clinical and experimental urology · 2022

Paper

partial

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:35291419
kind
science-record
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sha256:a4c619a2b00558685bf94c70870361ff6f3eb80f6ec31aadbe6dc776cf51dd75
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created_at
2026-11-01T18:14:04Z
updated_at
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generator object · 2 fields
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paper object · 10 fields
state
partial
title
Identification of hub genes and pathways in bladder cancer using bioinformatics analysis.
doi
null
pmid
35291419
authors array · 5 items
[0]
Danhui Li
[1]
Fan Zhen
[2]
Jianwei Le
[3]
Guodong Chen
[4]
Jianhua Zhu
journal
American journal of clinical and experimental urology
year
2022
abstract
Bladder cancer (BC) is the most common malignant tumor of urinary tract system. The aim of this study was to investigate the genetic signatures of bladder cancer (BC) and identify its potential molecular mechanisms. The gene expression profiles of GSE3167 (50 samples, including 41BC and 9 non-cancerous urothelial cells) was downloaded from the GEO database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) were performed to identify enriched pathways, and a protein-protein interaction (PPI) network was used to identify hub genes and for module analysis. Moreover, we conducted expression and survival analyses to screen and validate hub genes. In total, 1528 DEGs were identified in bladder cancer (BC), including 1212 up-regulated genes and 316 down-regulated genes. Up-regulated differentially expressed genes (DEGs) were significantly enriched in negative regulation of macromolecule metabolic process, macromolecule catabolic process, proteolysis and regulation of cell death, while the down-regulated differentially expressed genes (DEGs) were mainly involved in cell surface receptor linked signal transduction, ion transport, cell-cell signaling and defense response. The top 10 hub genes with the highest degrees were selected from the PPI network. These genes included HSP90AA1, MYH11, MYL9, CNN1, ACTC1, RAN, ENO1, HNRNPC, ACTG2 and YWHAZ. From sub-networks, we found these genes were involved in the proteasome, pathways in cancer and cell cycle. Hence, the identified DEGs and hub genes may be beneficial to elucidate the mechanisms underlying BC.
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Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) were performed to identify enriched pathways, and a protein-protein interaction (PPI) network was used to identify hub genes and for module analysis.
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sections[0] "Abstract" paragraph 1
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Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) were performed to identify enriched pathways, and a protein-protein interaction (PPI) network was used to identify hub genes and for module analysis.
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The gene expression profiles of GSE3167 (50 samples, including 41BC and 9 non-cancerous urothelial cells) was downloaded from the GEO database.
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sections[0] "Abstract" paragraph 1
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The gene expression profiles of GSE3167 (50 samples, including 41BC and 9 non-cancerous urothelial cells) was downloaded from the GEO database.
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claim-target-result
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The study identified 1,528 differentially expressed genes in bladder cancer, comprising 1,212 up-regulated and 316 down-regulated genes.
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evidence array · 1 item
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sections[0] "Abstract" paragraph 1
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In total, 1528 DEGs were identified in bladder cancer (BC), including 1212 up-regulated genes and 316 down-regulated genes.
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The study identified 1,528 differentially expressed genes in bladder cancer, comprising 1,212 up-regulated and 316 down-regulated genes.
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the published estimate and its evidence
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the source data with its repository provenance
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Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
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The gene expression profiles of GSE3167 (50 samples, including 41BC and 9 non-cancerous urothelial cells) was downloaded from the GEO database.
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The gene expression profiles of GSE3167 (50 samples, including 41BC and 9 non-cancerous urothelial cells) was downloaded from the GEO database.
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GSM71078
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60
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null
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null
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96
taxon
Homo sapiens
title
Classification of carcinoma in situ lesions in human bladder cancer
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2026-11-01T18:06:43Z
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identifier_resolution_only_no_download_no_licence_read
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false
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Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses
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Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) were performed to identify enriched pathways, and a protein-protein interaction (PPI) network was used to identify hub genes and for module analysis.
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Automated Assays Laravel application and simulated adapters
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network.
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R1
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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The gene expression profiles of GSE3167 (50 samples, including 41BC and 9 non-cancerous urothelial cells) was downloaded from the GEO database.
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The paper names GSE3167 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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Complete file
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