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Recent advancements in oral cancer detection prioritize non-invasive and minimally invasive techniques for efficient and accurate screening. This review outlines progress in methods such as narrow band imaging, fluorescence imaging, and optical coherence tomography, showing promise in early lesion detection. Biomarker detection in saliva and targeted nanoparticles enhance early diagnosis, while machine learning improves diagnostic accuracy. However, clinical validation and large-scale studies are needed for widespread adoption.

CD44 and SALL4 are markers of stemness and expressed in cancer stem cells (CSCs). Their deregulated expression was seen in various tumors and has been correlated with clinical severity. We evaluated immunohistochemical expression of CD44 and SALL4 in leukoplakia and oral squamous cell carcinoma (OSCC). CD44 was expressed in all the cases of leukoplakia and Its expression correlated with severity of the dysplasia in leukoplakia but varied with differentiation in OSCC. SALL4 did not express in leukoplakia. Its expression was varied in OSCC cases. We opine that CD44 expression is consistent with the progression of dysplasia in leukoplakia and differentiation in OSCC.