Review Article

Molecular Biomarkers Related to Oral Carcinoma: Clinical Trial Outcome Evaluation in a Literature Review

Table 1

Altered biomarkers in OC.

#YearAuthorSubjects ()Sample originGene markerResult value

12010Taoudi Benchekroun et al.162HBEGFR (U)An increased EGFR gene copy number increases the risk of OSCC
22012Jung et al.17TB134 different miRNA (see image 1)Keratinization and high miR-21 levels are important indicators of oral cancer patient prognosis
32013Minakawa et al.106TBKIFGA (U)Results showed that KIFGA is overexpressed in OC
42015Luo et al.121HBOPN (osteopontin)Tumor OPN plays an important role in tumor development particularly in tumor invasion and metastasis
52014Su et al.7HBDEPDC1B (U)DEPDC1B is highly expressed in oral cancer tissue, compared to adjacent tissue. The overexpression in cells promotes cell migration and induces cell invasion in cancer cell lines/
62011Cao et al.76TBEZM2(D)EZH2 expression is an independent predictor for OSCC. EZH2 may serve as a biomarker for oral cancer risk
72009Saintigny et al.162HBdeltaNp63 (U), EIC (U), podoplanin (U)Hazard risk of OC with upregulated genes is augmented. Considering all three biomarkers, OC patient survival rate is strikingly higher compared with no, one, or two positive biomarkers
82011Saintigny et al.162HBHas-miR-101 (D), deltaNp63 (U), P63 (U), DNMT3B (U)It demonstrated the value of gene expression profiles in predicting oral cancer development in OPL patients. The microRNA-based strategies might therefore be considered in future chemoprevention studies/

Type of sample: HU: human biopsy; TB: tissue bank sample. Type of altered gene regulation: D: downregulation, diminution; U: upregulation, augmentation.