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EGFR and Ki-67 expression in oral squamous cell carcinoma using tissue microarray technology.

Luís Silva Monteiro1, Márcio Diniz-Freitas, Tomás Garcia-Caballero

  • 1Department of Oral Surgery and Oral Medicine, Higher Institute of Health Sciences, Paredes, Portugal. lmonteiro_md@hotmail.com

Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
|March 6, 2010
PubMed
Summary

Tissue microarrays (TMA) are a valid method for analyzing oral squamous cell carcinoma (OSCC) biomarkers like epidermal growth factor receptor (EGFR) and Ki-67. This technique correlates well with whole sections, offering a rapid and economical approach for OSCC research.

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Area of Science:

  • Oncology
  • Pathology
  • Biomarker Analysis

Background:

  • Oral squamous cell carcinoma (OSCC) is a significant global health concern.
  • Accurate analysis of biomarkers such as epidermal growth factor receptor (EGFR) and Ki-67 is crucial for understanding OSCC.
  • Tissue microarrays (TMA) offer a potential method for high-throughput biomarker analysis.

Purpose of the Study:

  • To validate the use of dual 1.5 mm core tissue microarrays (TMA) for analyzing EGFR and Ki-67 expression in OSCC.
  • To assess the correlation between TMA and whole section (WS) analyses for these markers.
  • To investigate the association of EGFR and Ki-67 expression with clinical, pathological, and survival variables in OSCC patients.

Main Methods:

  • Immunohistochemistry was performed on formalin-fixed, paraffin-embedded OSCC specimens from 39 patients.
  • Expression levels of EGFR and Ki-67 were analyzed using both whole sections (WS) and dual 1.5 mm core tissue microarrays (TMA).
  • Statistical analyses, including kappa agreement, Spearman correlation, and multivariate analysis, were employed to compare TMA and WS data and assess associations with clinical variables.

Main Results:

  • High EGFR expression was observed in 98% of TMA and 100% of WS samples, with substantial agreement (kappa = 0.720).
  • EGFR expression did not significantly correlate with clinical, pathological, or survival variables.
  • Ki-67 analysis showed strong correlation between TMA and WS (Spearman correlation = 0.741), with significant associations found between gender and Ki-67 labeling index.
  • Clinical stage emerged as the sole significant predictive parameter in multivariate analysis.

Conclusions:

  • Dual 1.5 mm core TMA is a validated, rapid, economical, and tissue-saving method for studying OSCC biopsies, showing strong correlation with whole sections.
  • The high prevalence of EGFR overexpression in OSCC suggests potential for targeted therapy investigations.
  • TMA facilitates efficient analysis of biomarkers in OSCC, aiding in the understanding of tumor biology and potential therapeutic strategies.