Screening and clinical significance of tumor markers in head and neck squamous cell carcinoma through bioinformatics analysis

Abstract

In order to identify potential diagnostic and prognostic biomarkers, and treatment targets for head and neck squamous cell carcinoma (HNSCC), the present study obtained the gene expression profiles in HNSCC through public data mining, and core genes were identified using a series of bioinformatics analysis methods and databases. A total of nine hub genes (SPP1, ITGA6, TMPRSS11D, MMP1, LAMC2, FAT1, ACTA1, SERPINE1 and CEACAM1) were identified to be significantly correlated with HNSCC. Furthermore, overall survival analysis demonstrated that the expression values of hub genes were associated with overall survival in HNSCC. Furthermore, certain of the identified genes, including, TMPRSS11D, ACTA1 and CEACAM1, have not been thoroughly investigated in HNSCC previously. Taken together, the nine hub genes obtained by screening in the present study may serve as potential tumor markers and important prognostic indicators for HNSCC.