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Updated: Jun 25, 2026

Isolation of Cells with Morphological and Spatial Information from Oral Submucous Fibrosis Samples by Laser Capture Microdissection
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Isolation of Cells with Morphological and Spatial Information from Oral Submucous Fibrosis Samples by Laser Capture Microdissection

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Gene expression analysis by oligonucleotide microarray in oral leukoplakia.

Yuri Kuribayashi1, Kei-ichi Morita, Hirofumi Tomioka

  • 1Oral and Maxillofacial Surgery, Department of Oral Restitution, Division of Oral Health Sciences, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan. kuriosur@tmd.ac.jp

Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
|February 18, 2009
PubMed
Summary

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Researchers identified 16 genes that can help diagnose oral epithelial dysplasia, a precancerous condition. This discovery offers a new genetic diagnostic system for oral leukoplakias (LP) and aids in assessing malignant transformation risk.

Area of Science:

  • Oral pathology
  • Molecular diagnostics
  • Cancer genomics

Background:

  • Oral leukoplakias (LP) are common precancerous oral lesions.
  • Accurate assessment of malignant transformation and genetic diagnosis of oral epithelial dysplasia remain challenging.
  • There is a need for a novel genetic diagnostic system for epithelial dysplasia.

Purpose of the Study:

  • To identify novel genetic markers for oral epithelial dysplasia.
  • To develop a new system for the genetic diagnosis of oral epithelial dysplasia.
  • To differentiate between mild and severe dysplasia using gene expression patterns.

Main Methods:

  • Oligonucleotide microarray analysis of gene expression in 10 oral leukoplakia patients.
  • Differential gene expression analysis between mild and severe dysplasia cases.

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  • Hierarchical clustering analysis to classify dysplasia severity.

    • Main Results:

    • Ninety-six differentially expressed genes were identified as candidates for upregulation in severe dysplasia.
    • A subset of 16 genes with the highest differential expression was selected.
    • Hierarchical clustering successfully divided patients into mild and severe dysplasia groups.

    Conclusions:

    • The identified 16 genes are proposed as a biomarker gene set for oral epithelial dysplasia.
    • These biomarkers enable efficient and rapid recognition of dysplasia development.
    • This gene set could form the basis of a new genetic diagnostic system for oral dysplasia.