Fecal DNA colorectal tumor multi-gene prediction model based on NGS technology

A colorectal tumor and gene sequencing technology, applied in the field of multi-gene prediction model of fecal DNA colorectal tumor, can solve the problems of low patient compliance, low sensitivity, and poor specificity, and achieve accurate and specific diagnosis

Active Publication Date: 2018-07-06
SHANGHAI REALBIO TECH CO LTD
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, the methods used for colorectal cancer screening mainly include colonoscopy, fecal occult blood detection, etc., but there are deficiencies such as low sensitivity, poor specificity, or low patient compliance.

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
  • Fecal DNA colorectal tumor multi-gene prediction model based on NGS technology
  • Fecal DNA colorectal tumor multi-gene prediction model based on NGS technology
  • Fecal DNA colorectal tumor multi-gene prediction model based on NGS technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Selected clinical samples from Lanxi Red Cross Hospital, the Second Affiliated Hospital of Xi’an Jiaotong University, Xijing Hospital, and Tangdu Hospital from 2016 to 2017 with colonoscopy case results, including 77 cases of colorectal tumors and 204 cases of asymptomatic people Stool samples. The above-mentioned samples were subjected to gene capture and high-throughput sequencing, and their clinical and pathological information were collected at the same time. Finally, the genome sequencing results and clinical information were comprehensively analyzed to construct a colorectal tumor cell detection model.

[0042] (1) Gene capture and high-throughput sequencing

[0043] Perform gene capture and high-throughput sequencing of stool samples in our laboratory (see figure 1 ). Extract the genomic DNA of the sample to be tested, use the probe to capture the target genes KRAS, NDRG4; use the bisulfite conversion method to transform the NDRG4 gene to retain the methylated C base...

Embodiment 2

[0065] List 6 volunteers who went to Lanxi Red Cross Hospital, the Second Affiliated Hospital of Xi’an Jiaotong University, Xijing Hospital, and Tangdu Hospital to use the variable results measured by NGS technology to obtain the consistency judgment process using this model.

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

PropertyMeasurementUnit
Sensitivityaaaaaaaaaa
Login to view more

Abstract

The invention provides a method and a system for determining colorectal tumor cells. The method comprises the following steps: obtaining a KRAS gene and an NDRG4 gene of a sample to be tested respectively, and methylating the NDRG4 gene; sequencing the KRAS gene and the methylated NDRG4 gene respectively to obtain a KRAS gene sequencing result and an NDRG4 gene sequencing result; performing firstcomparison on a gene sequence at a first target position in the KRAS gene sequencing result and a first reference sequence, and calculating the mutation rate of the KRAS gene; performing second comparison on a gene sequence at a second target position in the NDRG4 gene sequencing result and a second reference sequence, and calculating the methylation linkage ratio of the NDRG4 gene; based on the mutation rate of the KRAS gene and the methylation linkage ratio of the NDRG4 gene, determining whether the sample to be tested has the colorectal tumor cells. Through the method and the system, whether colorectal tumor cells exist can be quickly, simply and specifically detected, and the sensitivity is high.

Description

Technical field [0001] The invention relates to the field of molecular biology technology. Specifically, a stool DNA colorectal tumor multi-gene prediction model based on NGS technology. More specifically, the present invention relates to a method and system for identifying colorectal tumor cells based on KRAS and NDRG4 genes. Background technique [0002] Colorectal cancer (Colorectal cancer, CRC) is a common malignant tumor, including colon tumors and rectal tumors, also known as colorectal tumors, which refer to malignant tumors that occur in the lower digestive tract, colon or rectum, and are one of the main cancers threatening human health. First, its incidence rate ranks third among male tumors and second among female tumors globally. In my country, with the development of society and economy, changes in residents' living habits, dietary structure, etc., the incidence and mortality of colorectal tumors in my country continue to rise. China's cancer statistics in 2015 sho...

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): C12Q1/6886C12M1/00C12M1/34
CPCC12Q1/6886C12Q2600/156C12Q2600/154
Inventor 毛瑞芳陈璟王云霞王君秦楠
Owner SHANGHAI REALBIO TECH CO LTD
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