Identification of novel tumor-associated antigens and evaluation of a panel of autoantibodies in detecting oral cancer.

ABSTRACT:

Background

We aimed to identify tumor-associated antigen (TAA) biomarkers through bioinformatic analysis and experimental verification, and to evaluate a panel of autoantibodies against tumor-associated antigens (TAAbs) for the detection of oral cancer (OC).

Methods

GEO and TCGA databases were used to screen significantly up-regulated genes related to OC, and protein-protein interaction (PPI) analysis and Cystoscope software were used to identify key genes. Enzyme-linked immunosorbent assay (ELISA) was used to detect the expression levels of autoantibodies in 173 OC patients and 173 normal controls, and binary logistic regression analysis was used to build a diagnostic model.

Results

Using bioinformatics, we identified 10 key genes (AURKA, AURKB, CXCL8, CXCL10, COL1A1

SUBMITTER: Xie W 

PROVIDER: S-EPMC10464482 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature