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Related Experiment Videos

Gene expression analysis by cDNA microarray in oral squamous cell carcinoma.

Hirofumi Tomioka1, Kei-Ichi Morita, Shogo Hasegawa

  • 1Oral and Maxillofacial Surgery, Department of Oral Restitution, Division of Oral Health Sciences, Graduate School, Tokyo Medical and Dental University, Yushima, Bunkyo-ku, Japan. tomy.osur@tmd.ac.jp

Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
|March 8, 2006
PubMed
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This study identified 47 key genes with altered expression in oral squamous cell carcinoma (OSCC). Gene expression patterns may help classify OSCC malignancy and differentiation, aiding future diagnostics.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Oral squamous cell carcinoma (OSCC) is a prevalent human cancer.
  • The molecular mechanisms driving OSCC development are not fully understood.
  • Gene expression profiling is crucial for advancing OSCC research.

Purpose of the Study:

  • To identify genes with altered expression in OSCC.
  • To understand the molecular basis of OSCC development and progression.
  • To explore the potential of gene expression patterns for classifying OSCC.

Main Methods:

  • Utilized cDNA microarray to analyze expression patterns of 16,617 genes in nine OSCC patients.
  • Extracted 47 differentially expressed genes.
  • Validated gene expression using reverse transcriptase-polymerase chain reaction (RT-PCR).

Related Experiment Videos

  • Employed hierarchical clustering analysis to group patient samples.

    • Main Results:

    • Identified 47 genes with significantly altered expression across all OSCC cases.
    • Classified the ontology of these 47 genes into 10 functional categories.
    • Hierarchical clustering divided the nine OSCC cases into two distinct clusters.
    • Validated expression of TGFBI, FADD, and DUSP1 genes via RT-PCR.

    Conclusions:

    • The identified 47 genes are proposed to have functional significance in oral squamous cell carcinogenesis.
    • Gene expression patterns, analyzed by hierarchical clustering, may indicate OSCC differentiation status.
    • Further long-term studies with larger cohorts are needed to correlate gene expression patterns with OSCC malignancy and survival rates.