Correlation of Clinical and Histopathological Features of Salivary Pleomorphic Adenoma

Statement of the Problem: 

Salivary gland tumors represent about 3% of the head and neck tumors. Pleomorphic adenoma (PA) is the most common benign salivary gland tumor.

This study was conducted to investigate and describe some clinical and histopathological aspects of salivary pleomorphic adenomas with special reference to the epithelial and mesenchymal components.

One hundred tissue samples diagnosed as PA were sourced from archival tissue blocks between 2009 and 2019 in this retrospective study. Some clinical and demographic features, including age, sex, tumor size, and tumor location were recorded. This study included only samples taken by excisional biopsy. Then, the samples were histologically classified into three subtypes according to the proportion of epithelial and stromal components. The demographic and clinicopathological variables were statistically analyzed using Chi-square test or Fisher’s exact test, considering a significance level of 5% (p< .05).

In the present study, most cases (61%) were found in females, representing a female–male ratio of 1.6:1. The peak incidence was seen in the 4th and 5th decades of life. In 87% of cases, PA occurred in major salivary glands. There was a significant difference between the age of the patient and squamous metaplasia (p= 0.036). There was also a significant difference between the size of tumor and the amount of myxoid stroma (p= 0.021). Extensive myxoid stroma was mostly seen in tumors larger than 3.37cm (p= 0.001). In addition, there was a statistically significant difference between capsular invasion and the development of squamous metaplasia (p= 0.001).

 In this study, there was a significant correlation between the gland type and capsular features and between the size of tumor and rate of squamous metaplasia. A detailed clinical and histopathological analysis of PAs may provide a better insight to the pathophysiology of the lesion, tumor cell differentiation, and prognostic factors.