Abstract
Purpose To examine the expression of RAD51 in oral squamous cell carcinoma (OSCC) and analyze its connection with pathological grade, clinical stage, and lymphatic metastasis potential. Methods For this study, 74 OSCC samples, 15 normal mucosa tissues, and 11 normal skin tissue samples were collected. RAD51 expression was investigated using immunohistochemistry. A follow-up visit was used to assess the prognosis of each patient. We compared RAD51 expression in oral mucosa epithelial cells (OMECs), keratinocytes, and tongue squamous cell carcinoma cells (TSCCs) by Western blot analysis. Results RAD51 expression was higher in tumor cells than in normal mucosal tissues. In addition, RAD51 expression was associated with higher tumor differentiation (P < 0.05). Also, RAD51 expression was higher (P < 0.05). Also, RAD51 expression was higher (P < 0.05). Also, RAD51 expression was higher (Conclusion A strong positive correlation was found between RAD51 expression and the degree of malignancy in OSCC patients, suggesting that RAD51 could be an excellent prognostic indicator for OSCC patients.
Highlights
Oral squamous cell carcinoma (OSCC) accounts to more than 90% of all oral malignancies diagnosed each year
RAD51 expression was significantly stronger in OSSC tissues when compared with normal tissues, and RAD51 expression levels were positively correlated with the disease stage (P < 0:05; Figure 1), suggesting that RAD51 expression could be potentially used to estimate the prognoses of OSCC patients
RAD51 expression was higher in OSCC patients with lymphatic metastases (P = 0:027)
Summary
Oral squamous cell carcinoma (OSCC) accounts to more than 90% of all oral malignancies diagnosed each year. It is the most common form of cancer that arises from the mucosal membranes of the oropharynx and mouth with more than 275,000 new cases diagnosed each year and 125,000 deaths attributed to this malignancy each year worldwide [1]. The survival rate for patients without metastases is 90%, suggesting that the key to improving survival rates is the early diagnosis and prompt treatment of the disease. With this in mind, scientists have identified several biomarkers that could be useful for identifying early-stage disease in symptomatic patients or high-risk individuals [3]
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