ArticleMedicina oral, patologia oral y cirugia bucal2015
Molecular genetic study of novel biomarkers for early diagnosis of oral squamous cell carcinoma.
Article in Medicina oral, patologia oral y cirugia bucal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Prognostic model revealing pyroptosis-related signatures in oral squamous cell carcinoma based on bioinformatics analysis.Scientific reports · 2024Article
- Research progress on the role and mechanism of circular RNA in drug resistance of head and neck squamous cell carcinoma.Cancer drug resistance (Alhambra, Calif.) · 2024Review
- Evaluation of the Expression Levels of miR-21-5p and miR-429 Genes in Biopsy Samples from Patients with Oral Squamous Cell Carcinoma.Diagnostics (Basel, Switzerland) · 2023Article
- Deregulation of extracellular matrix modeling with molecular prognostic markers revealed by transcriptome sequencing and validations in Oral Tongue squamous cell carcinoma.Scientific reports · 2021Article
- A Literature Review of the Potential Diagnostic Biomarkers of Head and Neck Neoplasms.Frontiers in oncology · 2020Review
- Pilot GWAS of caries in African-Americans shows genetic heterogeneity.BMC oral health · 2019Article
- Dysregulation of MiR-519d Affects Oral Squamous Cell Carcinoma Invasion and Metastasis by Targeting MMP3.Journal of Cancer · 2019Article
- MicroRNA-542-3p inhibits oral squamous cell carcinoma progression by inhibiting ILK/TGF-β1/Smad2/3 signaling.Oncotarget · 2017Article
- Microbial Signatures Associated with Oropharyngeal and Oral Squamous Cell Carcinomas.Scientific reports · 2017Article
- Transcriptomic characterization of differential gene expression in oral squamous cell carcinoma: a meta-analysis of publicly available microarray data sets.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Largescale Transcriptomics Analysis Suggests Over-Expression of BGH3, MMP9 and PDIA3 in Oral Squamous Cell Carcinoma.PloS one · 2016Article
- A network-based method to evaluate quality of reproducibility of differential expression in cancer genomics studies.Oncotarget · 2015Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesEarly detection and treatment of an oral squamous cell carcinoma (OSCC) is critical because of its rapid growth, frequent lymph-node metastasis, and poor prognosis. However, no clinically-valuable methods of early diagnosis exist, and genetic analysis of OSCCs has yielded no biomarkers. STUDY
designWe investigated the expression of genes associated with inflammation in OSCCs via a quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) analysis of microarray data. Tumor and normal tissues from five patients with an OSCC were used for microarray analysis. Differentially-expressed genes, identified using permutation, local pooled error (LPE), t-tests, and significance analysis of microarrays (SAM), were selected as candidate genetic markers.
resultsTwo groups corresponding to tissue identity were evident, implying that their differentially-expressed genes represented biological differences between tissues. Fifteen genes were identified using the Student's paired t-test (p<0.05) and the SAM, with a false discovery rate of less than 0.02. Based on gene expression, these 15 genes can be used to classify an OSCC. A genetic analysis of functional networks and ontologies, validated by using a qRT-PCR analysis of the tissue samples, identified four genes, ADAM15, CDC7, IL12RB2 and TNFRSF8, that demonstrated excellent concordance with the microarray data.
conclusionsOur study demonstrated that four genes (ADAM15, CDC7, IL12RB2 and TNFRSF8) had potential as novel biomarkers for the diagnosis and the treatment of an OSCC.
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