Publication | Open Access
Identification of a combined biomarker for malignant transformation in oral submucous fibrosis
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Citations
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References
2016
Year
The notable biomarkers in our present study were Ki67 and p16 showing significantly different expression levels between the transformation and non-transformation groups. With the identification of high-risk patients with OSF, we can expect to develop more intensive treatment modalities, leading to the reduction in cancer transformation rate from OSF.
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