Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Biomarker for gastric adenocarcinoma diagnosis

A gastric adenocarcinoma and product technology, applied in the field of biomarkers for gastric adenocarcinoma diagnosis, can solve the problems of unsatisfactory sensitivity and specificity, low gastric cancer diagnosis rate, pain and difficulty in risk and so on.

Inactive Publication Date: 2017-06-20
成都望路医药技术有限公司
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In my country, the diagnosis rate of early gastric cancer is very low. Commonly used clinical diagnostic techniques such as gastroscopy, upper gastrointestinal contrast, and CT are difficult to popularize due to the high cost of examination and the need to bear certain pain and risks. Markers such as CEA, CA199, CA724, etc. are unsatisfactory in terms of sensitivity and specificity. Finding new tumor markers has always been an important topic in the field of tumor research

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
  • Biomarker for gastric adenocarcinoma diagnosis
  • Biomarker for gastric adenocarcinoma diagnosis
  • Biomarker for gastric adenocarcinoma diagnosis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] Example 1 Screening for gene markers associated with gastric adenocarcinoma

[0079] 1. Sample collection

[0080] The paracancerous tissue and cancer tissue samples of 3 patients with gastric adenocarcinoma who underwent radical resection were collected. The patients did not receive any chemotherapy or radiotherapy before gastrectomy. The information of the included patients included gender, age, lauren type, tissue All the specimens mentioned above were obtained with the consent of the organizational ethics committee, and the patients signed an informed consent form.

[0081] 2. Preparation of RNA samples

[0082] Tissue RNA was extracted using QIAGEN tissue RNA extraction kit, and the operation was performed according to the specific steps in the manual.

[0083] Nanodrop2000 was used to detect the concentration and purity of the extracted RNA, agarose gel electrophoresis was used to detect RNA integrity, and Agilent2100 was used to determine the RIN value. Concen...

Embodiment 2

[0103] Example 2 QPCR sequencing to verify the differential expression of related genes

[0104] 1. Large-scale QPCR verification of the differential expression of the LINC00511 gene. According to the sample collection method in Example 1, 10 cases of gastric adenocarcinoma tissue and 10 paracancerous tissue samples were collected.

[0105] 2. The RNA extraction steps are the same as in Example 1.

[0106] 3. Reverse transcription:

[0107] (1) Configuration of reverse transcription system

[0108] Use 25μl reaction system, take 1μg total RNA for each sample as template RNA, and add the following components to PCR tubes: DEPC water, 5× reverse transcription buffer, 10mM dNTP, 0.1mM DTT, 30μM Oligo dT, 200U / μl M-MLV, template RNA. Incubate at 42°C for 1 hour, then centrifuge briefly at 72°C for 10 minutes.

[0109] (2) QPCR amplification test

[0110] Primer design

[0111] The primer sequence of LINC01234 gene is:

[0112] Forward primer: 5'-CGTGAAGAGTAGATGTAGA-3' (SEQ...

Embodiment 3

[0124] Example 3 Analysis of the expression of LINC01234 in the TCGA database

[0125] 1. Data collection

[0126] The lncRNA expression profile data of 285 cases of gastric adenocarcinoma tissues and 30 cases of adjacent tissues were collected from the TCGA database, and the expression level of lncRNA LINC01234 in gastric adenocarcinoma tissues and adjacent tissues was analyzed; box plots were drawn.

[0127] 2. ROC curve analysis

[0128] The receiver operating characteristics of lncRNALINC01234 were analyzed using the pROC package in R language, the binomial exact confidence space was calculated, and the ROC curve was drawn.

[0129] 3. Results

[0130] The expression level of LINC01234 as figure 2 As shown, compared with the control group, the expression of LLINC01234 (P=6.78e-16) was significantly up-regulated in gastric adenocarcinoma tissue.

[0131] The ROC curve of LINC01234 is as image 3 As shown, the AUC value of LINC01234 is as high as 0.894, and has high sp...

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 discloses a biomarker for gastric adenocarcinoma diagnosis. The biomarker is LINC01234. The expression level of the LINC01234 in a gastric adenocarcinoma patient is remarkably improved, and a TCGA database performs cross validation on the difference expression. The LINC01234 is subjected to ROC curve analysis to find out that the LINC01234 has a higher AUC value and higher accuracy and specificity, and to prompt that the LINC01234 can be applied to early diagnosis on gastric adenocarcinoma by serving as a potential marker.

Description

technical field [0001] The invention belongs to the field of biomedicine and relates to a biomarker for the diagnosis of gastric adenocarcinoma, specifically the biomarker is LINC01234. Background technique [0002] Gastric cancer, as a tumor with a relatively high incidence rate in the world, poses a serious threat to human health and survival. The incidence and mortality of gastric cancer rank among the forefront of malignant tumors worldwide. Gastric cancer ranks first among all kinds of malignant tumors in my country. The incidence of gastric cancer has obvious regional differences. The incidence of gastric cancer in the northwest and eastern coastal areas of my country is significantly higher than that in the south. The age of onset is more than 50 years old, and the ratio of male to female incidence is 2:1. The carcinogenesis of gastric cancer is a multi-factor, multi-step, and multi-stage development process. Worldwide statistics show that the regional differences of...

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): C12Q1/68C40B40/06A61K45/00A61P35/00
CPCA61K45/00C12Q1/6886C12Q2600/158C12Q2600/178C40B40/06
Inventor 杨承刚宋宏涛李曙光
Owner 成都望路医药技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com