Abstract
OBJECTIVE: An impervious mortality rate in oral cancer (OC) to a certain extent explains the exigencies of precise biomarkers. Therefore, the study was intended to identify OC candidate biomarkers using samples of healthy normal tissues (N=335), adjacent normal tissues (N=93) and OC tissues (N=533) from online microarray data. METHODS: Differentially expressed genes (DEGs) were recognised through GeneSpring software (Fold change >4.0 and 'p' value.