The invention discloses a salivary
protein diagnosis model for gastric
cancer and an establishment method for the salivary
protein diagnosis model. The establishment method for the salivary
protein diagnosis model for gastric
cancer comprises the following steps of collecting and
processing a
saliva sample;
processing the
saliva sample by adopting WCX magnetic balls; performing sample application and
mass spectrometry; and performing data
statistical analysis. The salivary protein diagnosis model for gastric
cancer mainly comprises four salivary protein peaks, and
mass-to-charge (m / z) ratios of the salivary protein peaks in human
salivary proteins are 1,472.78Da, 2,936.49Da, 6,556.81Da and 7,081.17Da respectively. According to the salivary protein diagnosis model for gastric cancer and the establishment method for the salivary protein diagnosis model, by a classification prediction model established by the four protein peaks of which the
mass-to-charge ratios (m / z) in the human
salivary proteins are 1,472.78Da, 2,936.49Da, 6,556.81Da and 7,081.17Da respectively, the m / z of the corresponding proteins in human
saliva and the model are analyzed to preliminarily judge gastric cancer, the
identification rate is 97.83 percent, and the predication capability is 79.82 percent. Clinical back substitution test results show that the accuracy rate of the diagnosis model is 97.56 percent, the sensitivity of the diagnosis model is 95.65 percent and the specificity of the diagnosis model is 100 percent. The establishment method is simple, and has the characteristics of reasonability, feasibility, convenience in operation and
batch processing capability.