AI Article Synopsis
- Predictive biomarkers can help identify oral leukoplakia with a higher risk of becoming cancerous, which is crucial for timely intervention.
- Two patients presented with oral burning sensations and white lesions, leading to a diagnosis confirmed through tissue analysis.
- The study found specific changes in microRNA expressions and antioxidant enzyme activities in patients, indicating a link between these molecular changes and the risk of malignant transformation.
Article Abstract
Rationale: Predictive biomarkers can be effective in the identification of the oral leukoplakia with an increased probability of malignant transformation.
Patients Concerns: A 63-year-old patient presents with persistent burning sensations throughout the oral cavity, accompanied by a white lesion on the tongue. Additionally, a 57-year-old patient with multiple white lesions in the oral cavity.
Diagnosis: Histopathological analysis of the excised tissue.
Interventions: Changes in the expression miRNAs (miR17, miR206, and miR23), the activity of antioxidant enzymes (superoxide dismutase, glutathione peroxidase, glutathione reductase, and glutathione-S-transferase), and concentration of reduced glutathione were detected, followed by meta-analysis of previous studies.
Outcomes: In both patients (verrucous leukoplakia, oral squamous cell carcinoma) upregulated expression of miR-23a, miR-17, and downregulated expression of miR206 were detected when compared to healthy individuals. In the plasma of a patient diagnosed with carcinoma, higher activity of antioxidant enzymes connected to glutathione was measured in comparison to healthy individuals.
Lessons: The connection between miRNA expression changes, the increase in glutathione-S-transferase and especially the decrease in superoxide dismutase activities in patients with white lesion potential malignant transformation using the provided statistical analysis was confirmed.
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|---|---|
| http://dx.doi.org/10.1097/MD.0000000000040928 | DOI Listing |
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11651523 | PMC |
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