Abstract

Background: Fast screening tests are a need for fast and early diagnosis of gastric cancer. Method: This study showed the results of validation of a screening test that used eight stochastic sensors as new tools for the identification and quantification of three cancer biomarkers: CEA, CA19-9, and p53. The biomarkers were determined from different biological samples: whole blood, urine, saliva, and fresh tissue. Results: Results obtained using the proposed stochastic sensors were compared with those obtained using the standard methods ELISA (for CEA and CA19-9) and chemiluminescence (for p53). The t-tests shown that there is no significant difference between the results obtained using the proposed tools and the standard methods. Conclusions: The fast screening method based on stochastic sensors can be successfully used for screening tests and fast diagnosis of gastric cancer.

Keywords: Stochastic sensors; Fast screening method; Gastric cancer