查看文章

Background:

Oral cancer (OC) is the most pernicious sub-site of head and neck tumours with poor prognostic value that is largely ascribed to the lack of ideal biomarkers and therapeutic targets. This fact highlights an urgent need to identify biomarkers that can further aid in OC management.

Aim:

The aim of this study was to identify a gene panel with a maximum clinical utility for OC.

Materials and Methods:

Eight eligible datasets were downloaded from the Gene Expression Omnibus Database, containing 320OC samples and 173 normal samples. The data were processed by GeneSpring software to reveal differentially expressed genes between OC tissues and normal tissues in eight individual experiments. Functional enrichment and network analysis were performed using PANTHER and STRING databases for concordant genes (fold change> 10; P≤ 0.05). The selected genes were cross-validated in the cancer …