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

An application of specific lectin combination in construction of a test tool for identifying small-cell lung cancer based on saliva glycoprotein carbohydrate chains

A technology of small cell lung cancer and lectin, which is applied in the general structural detail detection of gas analyzers, biological testing, measuring devices, etc., can solve problems such as no obvious symptoms, poor prognosis of lung cancer, and loss of opportunities for surgical cure

Inactive Publication Date: 2020-04-21
深圳格道糖生物技术有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although great progress has been made in the treatment of lung cancer in recent years, overall, the prognosis of lung cancer is still very unsatisfactory. The 5-year survival rates of non-small cell lung cancer and small cell lung cancer are only 14% and 4%, respectively. %
The main reason for this situation is that the onset of lung cancer is hidden, and there are usually no obvious symptoms in the early stage. Most lung cancer patients are already in the advanced stage when they are diagnosed, and they lose the chance of surgical cure.

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
  • An application of specific lectin combination in construction of a test tool for identifying small-cell lung cancer based on saliva glycoprotein carbohydrate chains
  • An application of specific lectin combination in construction of a test tool for identifying small-cell lung cancer based on saliva glycoprotein carbohydrate chains
  • An application of specific lectin combination in construction of a test tool for identifying small-cell lung cancer based on saliva glycoprotein carbohydrate chains

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The relevant verification experiments and analysis of the focus of this application are introduced in detail below, and the inventor's specific research and development process is not limited thereto.

[0038] 1. Screening of differential sugar chain structures of salivary proteins in patients with HV, COPD, ADC, SCC, and SCLC

[0039] Research methods:

[0040] 1.1. Collection and pretreatment of saliva samples

[0041] The saliva samples of healthy volunteers and patients with benign lung diseases, lung adenocarcinoma, lung squamous cell carcinoma, and small cell carcinoma used in this experiment were all strictly approved by Northwest University and the First Affiliated Hospital of Xi’an Jiaotong University (HumanResearch Ethics Committees (HumanResearch Ethics Committees) HRECs)). All volunteers who donated saliva samples, together with the clinicians who assisted in sampling guidance, were informed, agreed and highly cooperated with the research work, and complet...

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 provides an application of specific lectin combination in construction of a test tool for identifying small-cell lung cancer (SCLC) based on saliva glycoprotein carbohydrate chains, wherein the specific lectin combination is selected from two lectins of WGA and HHL. Compared with lung adenocarcinoma (ADC) and squamous-cell carcinoma (SCC) samples, small-cell lung cancer (SCLC) samples show significantly different expression of the specific lectin combination. Moreover, a model is established and shown in the specification; and if the detection value is less than or equal to 0.784, it is indicated that a subject to which the saliva sample belongs is an SCLC patient, or otherwise, if the detection value is larger than 0.784, it is indicated that the subject to which the salivasample belongs is other lung disease patients (ADC, SCC or COPD patients).

Description

technical field [0001] The invention relates to the application of a specific lectin combination to construct a test tool for identifying small cell lung cancer based on sialoglycoprotein sugar chains. Background technique [0002] Worldwide, one in five men and one in six women will develop cancer in their lifetime, and one in eight men and One in 1 women dies from the disease. The report estimates the incidence and mortality of 36 cancers in 185 countries around the world. According to the report, new cases will reach 18.1 million this year, and the death toll will reach 9.6 million. Four years ago, the number of new cases and deaths was 14.1 million and 8.2 million, respectively. Lung cancer is one of the leading causes of death in both men and women, with the highest incidence of lung cancer in women in regions such as North America, Northern Europe and Western Europe, as well as in countries such as China, Australia and New Zealand. [0003] Primary bronchial lung c...

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
IPC IPC(8): G16B25/10G16B5/00G01N33/574G01N33/68
CPCG01N33/57423G01N33/57488G01N33/68G01N2440/38G16B5/00G16B25/10
Inventor 李铮张帆于汉杰唐振舒健
Owner 深圳格道糖生物技术有限公司
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