Assessment of malignant potential of oral submucous fibrosis through evaluation of p63, E-cadherin and CD105 expression

作者:Das Raunak Kumar*; Pal Mousumi; Barui Ananya; Paul Ranjan Rashmi; Chakraborty Chandan; Ray Ajoy Kumar; Sengupta Sanghamitra; Chatterjee Jyotirmoy
来源:Journal of Clinical Pathology, 2010, 63(10): 894-899.
DOI:10.1136/jcp.2010.078964

摘要

Background The assessment of malignant potential of oral submucous fibrosis grades vis-a-vis their progression towards malignancy is associated with expression of possible multiple molecular markers.
Aims To analyse p63, E-cadherin and CD105 expression in this premalignant pathosis with a view to unravel and understand the expression of these molecules as markers.
Methods The oral mucosal biopsies (normal, oral submucous fibrosis with and without dysplasia) were studied with routine H&E, and by immunohistochemistry for p63, E-cadherin and CD105 expression. p63 was assessed as percentage of positive nuclei. E-cadherin expression was estimated through (i) distance between basement membrane and E-cadherin expression initiation point, (ii) ratio between epithelial thickness and epithelial thickness displaying E-cadherin, and (iii) E-cadherin intensity variation along the expression path. CD105 expression was assessed qualitatively.
Results The p63+ cells were highest in severely dysplastic tissues followed by other dysplastic grades, normal oral mucosa and non-dysplastic conditions. However, the p63+ cells displayed the feature of progressive maturation only in normal mucosa. There was a loss of membranous E-cadherin in basal layers of all diseased conditions; it was highest in severe dysplasia. There was significant variation (p< 0.0001) in E-cadherin intensity within and between the tissues (normal and diseased). CD105 expression increased abruptly in dysplasia.
Conclusions The malignant potential of this precancerous condition is likely to be correlated with an increase in p63 and CD105 expression and a concomitant loss of membranous E-cadherin. This may lead to marker identification through greater validation.

  • 出版日期2010-10