Method for establishing risk prediction model of gastric cancer

A prediction model and technology for gastric cancer, applied in the field of establishing a risk prediction model for gastric cancer, can solve problems such as early screening of difficult patients

Inactive Publication Date: 2018-09-07
AFFILIATED HUSN HOSPITAL OF FUDAN UNIV +1
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the clinical early diagnosis methods of gastric cancer mainly rely on pathological examination and auxiliary diagnostic techniques such as exfoliative cytology examination, tumor markers and tissue biopsy; tumor markers have been widely used in recent years, and play an important role in early diagnosis and prognosis of gastric cancer However, it has certain limitations in identifying benign and malignant diseases, the source of tumors, etc.; tissue biopsy has high sensitivity and specificity, but it is extremely invasive. The diagnostic method is difficult to be widely used in the early screening of patients

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for establishing risk prediction model of gastric cancer
  • Method for establishing risk prediction model of gastric cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] By collecting peripheral blood samples from normal people (392 cases in total) and gastric cancer patients (443 cases in total) (sample information is as follows: figure 1 shown), DNA was isolated from peripheral blood using the axyprep Blood Genomic DNA Mini Kit (Axygen). Genotyping uses Sequenom MassARRAY technology to amplify the DNA containing the SNP site region, and applies MassARRAYiPLEX single-base extension technology to perform single-base extension reactions with specific extension primers and PCR products. The different terminal bases of the extension products caused by polymorphism will lead to differences in the molecular weight of the extended products. By detecting the molecular weight of the extension products, the SNPs can be typed and detected by using special analysis software;

[0026] In this experiment, by measuring multiple single nucleotide polymorphism sites, according to the gene frequency of the single nucleotide polymorphism sites, and corre...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for establishing a prediction model for predicting the risk of gastric cancer, belonging to the technical field of molecular biological technology for tumors. According to the invention, the prediction model for predicting the risk of gastric cancer is established by determining a plurality of single nucleotide polymorphism (SNP) sites in collected biological samples; the established model is used for comparing and analyzing SNP sites so as to determine the gastric cancer catching risk of a population and to predict correlation of the diagnosis of gastric cancer of subjects to gastric cancer occurrence risks. The method provided by the invention is based on the established prediction model and biological samples collected from subjects, analyzes statistically-significant single nucleotide variation by contrasting a normal population and patients with gastric cancer and taking the frequency of genovariation into consideration, and determines the correlation of the diagnosis of gastric cancer of the subjects to gastric cancer occurrence risks, so an early diagnosis rate and clinical outcome are improved. The risk prediction model is applicable to prediction of the gastric cancer catching risks of people.

Description

technical field [0001] The invention relates to the technical field of molecular biology of tumors, and relates to a method for establishing a prediction model for predicting the risk of gastric cancer. The invention measures multiple single nucleotide polymorphism (SNP) sites from collected biological samples, and establishes The prediction model for predicting the risk of gastric cancer, through the established model to compare and analyze single nucleotide polymorphism (SNP) sites to determine the risk of gastric cancer in the predicted population and predict the correlation with the risk of gastric cancer from the perspective of gastric cancer diagnosis of subjects sex. Background technique [0002] According to reports, gastric cancer has become the second leading cause of cancer death in my country, and the annual new cases and deaths of gastric cancer account for more than 40% of the world's total. The prior art discloses that gastric cancer is considered as a single...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/156
Inventor 张骏刘杰胡婧怡马彦云王存久
Owner AFFILIATED HUSN HOSPITAL OF FUDAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap