Protein marker combination for gastric cancer diagnosis and application thereof

A protein marker and gastric cancer technology, applied in the field of medical diagnosis, can solve the problems of low diagnostic sensitivity, high false positive rate, and poor prognosis, achieve high diagnostic sensitivity and specificity, promote accurate diagnosis and treatment, and improve accuracy

Pending Publication Date: 2022-01-11
HANGZHOU GUANGKEANDE BIOTECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

However, due to the atypical symptoms of early gastric cancer, the early diagnosis rate of gastric cancer in China is less than 20%, and 70%-80% of patients are already in the middle and advanced stages when they are diagnosed, and the prognosis is poor (the 5-year survival rate of patients with stage IV gastric cancer is less than 2%)
Helicobacter pylori infection is closely related to the occurrence of gastric cancer. About two-thirds of gastric cancers are related to Helicobacter pylori infection. Therefore, the detec

Method used

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  • Protein marker combination for gastric cancer diagnosis and application thereof
  • Protein marker combination for gastric cancer diagnosis and application thereof
  • Protein marker combination for gastric cancer diagnosis and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] 1. Download gastric cancer (stomach) proteomics data and clinical information from the CPTAC database, and the sample size is gastric cancer tissue: normal tissue = 80:80.

[0036] 1.1 Extract the concentration of protein markers COL10A1, GKN1, GKN2, LIPF, PGI, PGII, and G-17 involved in the present invention in gastric cancer tissues and paracancerous tissues. Further, the concentration of the above-mentioned related protein markers was converted to natural logarithm, and the regression equation was obtained through logistic regression analysis: Logit(P)=C+α1*Ln(COL10A1)+α2*Ln(GKN1)+α3*Ln (GKN2)+α4*Ln(LIPF)+α5*Ln(PGI / II)+α6*Ln(G17). Substitute the detected protein marker concentration of each sample into the regression equation to calculate the probability of each sample suffering from gastric cancer, determine the probability cut-off value (cut-off) through the maximum point of Youden index, and finally determine whether each sample suffers from gastric cancer situat...

Embodiment 2

[0052] 2. Analysis of diagnostic performance based on gastric cancer blood samples

[0053] 2.1 Use the purchased enzyme-linked immunoassay kit to test the protein markers (COL10A1, GKN1, GKN2, LIPF, PGI, PGII, G-17) in clinical serum samples (40 cases of control, 60 cases of gastric cancer, and 60 cases of chronic gastritis). ), and register the clinicopathological information of the cases at the same time.

[0054] Further, the concentrations of the protein markers in the above three groups of cases were transformed by natural logarithm, and after logistic regression analysis, after removing the non-contributing markers, the regression equation was obtained: Logit(P)=C+α1*Ln(COL10A1 )+α2*Ln(GKN1)+α3*Ln(GKN2)+α4*Ln(LIPF)+α5*Ln(PGI / II)+α6*Ln(G17). Substitute the detected protein marker concentration of each sample into the regression equation to calculate the probability of each sample suffering from gastric cancer, determine the probability cut-off value (cut-off) through th...

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Abstract

The invention discloses a protein marker combination for gastric cancer diagnosis and application thereof. The protein marker combination is selected from at least one of COL10A1, GKN1, GKN2 and LIPF, and is selected from at least one of PGI/II and G-17. The protein marker combination has the beneficial effects that a protein marker has very high correlation with gastric cancer, and the accuracy of gastric cancer diagnosis can be greatly improved by jointly detecting the levels of a novel protein marker and a conventional marker for characterizing gastric atrophy in a sample. Compared with traditional invasive diagnosis methods such as digestive tract endoscopy or biopsy puncture, the protein marker combination has the advantages that the non-invasive examination universality is better; compared with clinical serum conventional tumor marker (CEA and CA19-9) detection, the protein marker combination has the advantages that multiple protein markers are adopted for combined detection, a calculation model is combined, the diagnosis sensitivity and specificity of the gastric cancer are higher, the protein marker combination can be used for early screening and auxiliary diagnosis of the gastric cancer, and accurate diagnosis and treatment of the gastric cancer are effectively promoted.

Description

technical field [0001] The invention belongs to the technical field of medical diagnosis, and in particular relates to a combination of protein markers for gastric cancer diagnosis and its application. Background technique [0002] Gastric cancer is the fifth most common malignant cancer in the world, and its death rate ranks fourth among all tumors in the whole body, posing a serious threat to human health. According to the latest "World Cancer Report 2020" data from the World Health Organization (WHO), in 2020, there will be 479,000 new cases of gastric cancer in China (accounting for 44% of the global gastric cancer incidence), and 374,000 deaths (accounting for 374,000 deaths from gastric cancer in the world). rate of 49%), and the morbidity and mortality rates both rank third. Due to special eating habits, there is a large base of high-risk groups for gastric cancer in China. As the population ages, the disease burden of gastric cancer in my country will continue to in...

Claims

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Application Information

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IPC IPC(8): G01N33/574G16B5/00G16H50/20G16H50/30
CPCG01N33/57446G01N33/57484G01N33/57488G16B5/00G16H50/20G16H50/30G01N2800/60
Inventor 高俊顺高俊莉高金波楼钦钦
Owner HANGZHOU GUANGKEANDE BIOTECHNOLOGY CO LTD
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