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pmid:30210912

A three miRNAs signature for predicting the transformation of oral leukoplakia to oral squamous cell carcinoma.

Huan Chen · Xiangzhen Liu · Zhenning Jin · Chenyu Gou · Minglu Liang · Li Cui · Xinyuan Zhao

American journal of cancer research · 2018

Paper

partial

Experiment

complete

Data

partial

Analysis

absent

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:30210912
kind
science-record
content_hash
sha256:dd91b8128a562804d1af763e6212dcd48a651f6c0882ff79bcc366f2bb1095b7
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:32:22Z
updated_at
2026-11-01T18:49:50Z
generator object · 2 fields
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corpus-assay-engine
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paper object · 10 fields
state
partial
title
A three miRNAs signature for predicting the transformation of oral leukoplakia to oral squamous cell carcinoma.
doi
null
pmid
30210912
authors array · 7 items
[0]
Huan Chen
[1]
Xiangzhen Liu
[2]
Zhenning Jin
[3]
Chenyu Gou
[4]
Minglu Liang
[5]
Li Cui
[6]
Xinyuan Zhao
journal
American journal of cancer research
year
2018
abstract
Oral squamous cell carcinoma (OSCC) remains to be a global health problem. However, the underlying molecular mechanisms regulating the oral leukoplakia (OLK) to OSCC remain poorly known. MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively. R software and bioconductor packages were used to compare and identify the differentially expressed miRNAs between OLK tissues and OLK transformed OSCC (OLK-OSCC). The target genes of commonly changed miRNAs were then subjected to gene ontology (GO) enrichment analysis, pathway analysis and miRNA-target genes network analysis. The prediction power of commonly changed miRNAs was further tested in an independent cohort. In total, 161 (88 upregulated and 73 downregulated) and 68 (19 upregulated and 49 downregulated) markedly altered miRNAs were identified from GSE33299 and GSE62809 respectively. The downstream targets of these differentially expression miRNAs in the two cohorts shared many top enriched GO and KEGG pathways. A set of three miRNAs signature including miR-129-5p, miR-296-5p and miR-450b-5p was commonly changed in both GSE33299 and GSE62809. Functional analysis revealed that the downstream target genes of the miRNA signature were associates with transcriptional regulation, estrogen signaling pathway, p53 signaling pathway and RIG-I-like receptor signaling pathway. This three-gene signature was further successfully validated in another independent cohort. The expression levels of miR-129-5p and miR-296-5p were significantly downregulated in OLK-OSCC tissues compared to OLK tissues, while miR-450b-5p levels were higher in OLK-OSCC tissues. In addition, this three miRNAs signature could discriminate OLK from OLK-OSCC with high accuracy. In conclusion, our study has identified a three miRNAs signature that might help predict the transformation of OLK to OSCC. Which will provide useful guidance for therapeutic applications.
claims array · 2 items
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MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively.
kind
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null
evidence array · 1 item
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source:pmid:30210912
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sections[0] "Abstract" paragraph 1
quote
MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively.
state
complete
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claim-target-result
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The study identified a three-miRNA signature that might help predict the transformation of OLK to OSCC.
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sections[0] "Abstract" paragraph 1
quote
In conclusion, our study has identified a three miRNAs signature that might help predict the transformation of OLK to OSCC.
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experiment object · 8 fields
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The study identified a three-miRNA signature that might help predict the transformation of OLK to OSCC.
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read_published_estimate
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The claim, method and evidence span published with the source article.
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the published estimate and its evidence
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Obtain the source data from the named repository
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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data:geo:GSE33299
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the source data with its repository provenance
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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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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PMC6129488
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[1] object · 15 fields
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GSE33299
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MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively.
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GEO
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MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively.
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GSM823579
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GSM823608
sample_count
30
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null
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14801
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Homo sapiens
title
MiRNA array based, miRNA expression profiles of oral leukoplakia (OLK) and malignant transformed oral leukoplakia (mtOLK)
resolution_checked_at
2026-11-01T17:30:42Z
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identifier_resolution_only_no_download_no_licence_read
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[2] object · 15 fields
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null
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null
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MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively.
structure object · 15 fields
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GEO
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GEO accession URL
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MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively.
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GSM1533721
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GSM1533725
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GSM1533726
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GSM1533730
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GSM1533736
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GSM1533739
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GSM1533740
sample_count
20
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null
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null
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16791
taxon
Homo sapiens
title
Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias
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2026-11-01T17:30:42Z
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identifier_resolution_only_no_download_no_licence_read
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capability:computational_analysis
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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R1
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capability:computational_analysis
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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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GSE33299
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GSE33299
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GSE62809
statements array · 1 item
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MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively.
basis
The paper names GSE33299, GSE62809 in gene expression omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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pmid:30210912
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data:geo:GSE33299
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GEO GSE33299
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PMID 30210912 full text
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GEO GSE33299
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Complete file
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MicroRNAs (miRNAs) expression profiles of GSE33299 and GSE62809 were downloaded from gene expression omnibus (GEO) respectively. R software and bioconductor packages were used to compare and identify the differentially expressed miRNAs between OLK tissues and OLK transformed OSCC (OLK-OSCC). The target genes of commonly changed miRNAs were then subjected to gene ontology (GO) enrichment analysis, pathway analysis and miRNA-target genes network analysis. The prediction power of commonly changed miRNAs was further tested in an independent cohort. In total, 161 (88 upregulated and 73 downregulated) and 68 (19 upregulated and 49 downregulated) markedly altered miRNAs were identified from GSE33299 and GSE62809 respectively. The downstream targets of these differentially expression miRNAs in the two cohorts shared many top enriched GO and KEGG pathways. A set of three miRNAs signature including miR-129-5p, miR-296-5p and miR-450b-5p was commonly changed in both GSE33299 and GSE62809. Functional analysis revealed that the downstream target genes of the miRNA signature were associates with transcriptional regulation, estrogen signaling pathway, p53 signaling pathway and RIG-I-like receptor signaling pathway. This three-gene signature was further successfully validated in another independent cohort. The expression levels of miR-129-5p and miR-296-5p were significantly downregulated in OLK-OSCC tissues compared to OLK tissues, while miR-450b-5p levels were higher in OLK-OSCC tissues. In addition, this three miRNAs signature could discriminate OLK from OLK-OSCC with high accuracy. In conclusion, our study has identified a three miRNAs signature that might help predict the transformation of OLK to OSCC. 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