Assessing Oral Epithelial Dysplasia Risk for Transformation to Cancer: Comparison Between Histologic Grading Systems Versus S100A7 Immunohistochemical Signature-based Grading

Appl Immunohistochem Mol Morphol. 2023 Jul 1;31(6):399-405. doi: 10.1097/PAI.0000000000001132. Epub 2023 May 23.

Abstract

While a 3-tier oral epithelial dysplasia grading system has been utilized for decades, it is widely recognized as a suboptimal risk indicator for transformation to cancer. A 2-tier grading system has been proposed, although not yet validated. In this study, the 3-tier and 2-tier dysplasia grading systems, and an S100A7 immunohistochemical signature-based grading system were compared to assess prediction of risk of transformation to oral cancer. Formalin-fixed, paraffin-embedded biopsy specimens with known clinical outcomes were obtained retrospectively from a cohort of 48 patients. Hematoxylin and eosin-stained slides were used for the 2- and 3-tier dysplasia grading, while S100A7 for biomarker signature-based assessment was based on immunohistochemistry. Inter-observer variability was determined using Cohen's kappa ( K ) statistic with Cox regression disease free survival analysis used to determine if any of the methods were a predictor of transformation to oral squamous cell carcinoma. Both the 2- and 3-tier dysplasia grading systems ranged from slight to substantial inter-observer agreement ( Kw between 0.093 to 0.624), with neither system a good predictor of transformation to cancer (at least P =0.231; ( P >>>0.05). In contrast, the S100A7 immunohistochemical signature-based grading system showed almost perfect inter-observer agreement ( Kw =0.892) and was a good indicator of transformation to cancer ( P =0.047 and 0.030). The inherent grading challenges with oral epithelial dysplasia grading systems and the lack of meaningful prediction of transformation to carcinoma highlights the significant need for a more objective, quantitative, and reproducible risk assessment tool such as the S100A7 immunohistochemical signature-based system.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carcinoma, Squamous Cell* / pathology
  • Head and Neck Neoplasms*
  • Humans
  • Hyperplasia
  • Mouth Neoplasms* / diagnosis
  • Mouth Neoplasms* / pathology
  • Neoplasm Grading
  • Observer Variation
  • Precancerous Conditions* / pathology
  • Retrospective Studies
  • S100 Calcium Binding Protein A7

Substances

  • S100A7 protein, human
  • S100 Calcium Binding Protein A7