Oral cancer has a five-year survival rate of 68%, and the methods used to assess it still rely heavily on morphology. Protein biomarkers can potentially increase the predictive power of histopathological evaluation. This study aims to examine the expression of three closely linked proteins implicated in the pathogenesis of oral squamous cell carcinoma (OSCC); protein deglycase (DJ-1), an oncogene, phosphatase, and tensin homolog (PTEN), a tumor suppressor gene, and phosphorylated protein kinase B (p-Akt), the activated form of a vital serine/threonine kinase, which is involved in the oncogenesis of several human malignancies, throughout the tumor progression steps to establish their potential as prognostic biomarkers. Study designWestern blot analysis was carried out using four different cell lines representing the successive steps of OSCC progression, including normal oral keratinocytes, dysplastic oral keratinocytes, locally invasive OSCC, and metastatic OSCC. ResultsDJ-1 expression was found to be upregulated gradually throughout the successive steps of OSCC progression from normal to dysplastic to locally invasive to metastatic OSCC. PTEN expression showed an overall opposite trend. Interestingly, a significant downregulation of p-Akt was seen in the locally invasive OSCC cells, although it was followed by a significant increase in p-Akt expression in the metastatic OSCC cell line, which is consistent with the role of p-Akt in the motility and migration of cancer cells. ConclusionThis study documented trends in expression patterns of three important signaling molecules, DJ-1, PTEN, and p-Akt, in normal, premalignant, and malignant oral keratinocytes. The oncogenic DJ-1 and tumor suppressor PTEN were expressed in a manner consistent with their respective roles in tumorigenesis, while p-Akt only showed a significant upregulation in the metastatic OSCC cells. Overall, all three proteins exhibited unique trends throughout the progressive stages of OSCC tumor progression, thereby adding to their potential utility as prognostic biomarkers for oral cancer patients.
BackgroundCurrent methods used to diagnose and prognosticate oropharyngeal cancer have contributed to unfavorable patient survival rates that have not significantly improved for the last several decades. Precision medicine oncology relies on molecular diagnostics and biomarkers to supplement existing methods of detecting and prognosticating cancers. This study evaluated the expression of DJ-1, an oncogene that is implicated in the pathogenesis of oral squamous cell carcinoma (OSCC), the most common type of head and neck cancer, to determine its utility as a diagnostic and prognostic biomarker. MethodologyImmunohistochemistry (IHC) was performed on 13 normal oral mucosa tissue samples and 143 OSCC tissue samples of varying histopathological grades. Computer-assisted image analysis was performed using the Aperio ImageScope software from Leica Biosystems (Buffalo Grove, IL), which utilizes an algorithm of positive pixel counting for the quantification of immunoreactivity and the percentage of positive cell staining, generating a histo-score (H-score). The comparisons of the average H-scores of the different groups were made using a two-tailed T-test with P ≤ 0.05 set as the level of significance. ResultsThe study found a significant increase in DJ-1 expression in oral squamous cell carcinoma tissue samples in comparison to the normal oral mucosa tissue samples. Additionally, the study documented a significant upregulation in DJ-1 expression in the OSCC tissue samples with high histopathological grades compared to the OSCC tissue samples with low histopathological grades. ConclusionsDJ-1 expression patterns were able to reliably differentiate between oral squamous cell carcinoma and the normal counterpart tissues of the oral mucosa, thereby highlighting its role as a potential diagnostic biomarker. Moreover, DJ-1 expression significantly correlates with the OSCC histological grade, which serves as an indicator of the differentiation status and a predictor of the biological behavior of malignant neoplasms, adding to DJ-1's potential utility as a prognostic biomarker for this common type of head and neck cancer.
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