Molecular Biomarkers Related to Oral Carcinoma: Clinical Trial Outcome Evaluation in a Literature Review
Table 1
Altered biomarkers in OC.
#
Year
Author
Subjects ()
Sample origin
Gene marker
Result
value
1
2010
Taoudi Benchekroun et al.
162
HB
EGFR (U)
An increased EGFR gene copy number increases the risk of OSCC
2
2012
Jung et al.
17
TB
134 different miRNA (see image 1)
Keratinization and high miR-21 levels are important indicators of oral cancer patient prognosis
3
2013
Minakawa et al.
106
TB
KIFGA (U)
Results showed that KIFGA is overexpressed in OC
4
2015
Luo et al.
121
HB
OPN (osteopontin)
Tumor OPN plays an important role in tumor development particularly in tumor invasion and metastasis
5
2014
Su et al.
7
HB
DEPDC1B (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
/
6
2011
Cao et al.
76
TB
EZM2(D)
EZH2 expression is an independent predictor for OSCC. EZH2 may serve as a biomarker for oral cancer risk
7
2009
Saintigny et al.
162
HB
deltaNp63 (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
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.