Salivary protein diagnosis model for gastric cancer and establishment method for salivary protein diagnosis model

Abstract

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.

Description

technical field [0001] The invention belongs to the technical field of gastric cancer diagnosis, and in particular relates to a salivary protein diagnostic model of gastric cancer and a method for establishing the same. Background technique [0002] Gastric cancer (GC) is one of the most common gastrointestinal tumors that threaten human health. Although the morbidity and mortality have decreased in recent years, its incidence rate still ranks first among various malignant tumors, and its incidence has increased significantly in recent years. rejuvenation trend. Quite a number of gastric cancer patients are diagnosed at an advanced stage. In my country, 150,000 to 200,000 patients die of gastric cancer every year, which is nearly 1 / 4 of all malignant tumor deaths. About 200,000 gastric cancer patients are newly discovered every year. The early symptoms of gastric cancer are often not obvious, mostly epigastric discomfort, dull pain, belching, pantothenic acid, loss of app...

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Problems solved by technology

[0008] The purpose of the embodiment of the present invention is to provide a salivary protein diagnostic model of gastric

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