ArticleAsian Pacific journal of cancer prevention : APJCP2024
P53 and Ki67 Biomarkers are Predictors for Malignant Transformation in Oral Submucous Fibrosis: A Prospective Study.
Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesOral submucous fibrosis (OSMF) is a potentially malignant disorder (PMD) characterized by a high rate of malignant transformation (MT). OSMF exhibits atrophic epithelium yet has a high proliferation rate. Both p53 and Ki67 are nuclear proteins associated with cell proliferation, detectable in the early stages of oral cancer (OC). This study aimed to analyze the efficacy of p53 and Ki67 immuno-expression as tools for predicting malignant transformation in OSMF cases. The objective was to correlate the expression of p53 and Ki67 with demographic and chewing habits data. MATERIALS AND
methodsThe study group consisted of 60 histopathologically diagnosed cases of OSMF, 60 cases of OC as positive controls, and 60 cases of NOM as negative controls. Immunohistochemistry was performed on neutral-buffered formalin-fixed, paraffin-embedded tissue sections of 3 μm thickness, using ready-to-use anti-human p53 protein (clone DO-7) and monoclonal antibody for Ki67 antigen (clone MIB-1). Statistical analysis was conducted using SPSS software version 21, employing the chi-square test (p < 0.05).
resultsThe expression of p53 and Ki67 was significantly higher in OSMF samples compared to NOM samples, but lower than in OC samples. When the expression levels of both p53 and Ki67 were correlated with demographic and chewing habits data, the results were statistically significant.
conclusionThe overexpression of p53 and Ki67 may contribute to the progression of MT in OSM. Early detection of these biomarkers is crucial for preventing MT, which also helps reduce the morbidity and mortality of OC. Therefore, both p53 and Ki67 can serve as predictive biomarkers for the early detection of MT in high-risk OSMF patients.
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