Marker joint detection model for diagnosis of lung cancer

A technology for lung cancer and human detection, applied in the medical field, can solve problems such as unsatisfactory diagnostic performance, reduce economic burden and psychological pressure, improve identification ability, high sensitivity and specificity

Active Publication Date: 2019-10-25
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
View PDF7 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] A variety of tumor markers have been found clinically that can be used for lung cancer diagnosis, pathological classification, clinical staging, prognosis and curative effect, but the diagnostic performance of commonly used lung cancer markers (CEA, CA125) is not satisfactory, and no one has been found yet. A specific tumor marker has high sensitivity and specificity for the diagnosis of lung cancer

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
  • Marker joint detection model for diagnosis of lung cancer
  • Marker joint detection model for diagnosis of lung cancer
  • Marker joint detection model for diagnosis of lung cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Example 1. Determination and application of the best diagnostic combination of four biomarkers for lung cancer

[0042] 1. Research population

[0043] Measurement and statistical analysis of carcinoembryonic antigen (CEA), cancer antigen 125 (CA125) and seven autoantibodies (Fructose-bisphosphate aldolase A autoantibody; Cancer / testisantigen 1 autoantibody; Alpha enolase autoantibody) in samples from healthy controls and lung cancer patients Antibody; 14-3-3protein theta autoantibody; AnnexinA1 autoantibody; PGP 95 autoantibody; Cellular tumor antigen p53 autoantibody) serum levels. The 316 candidates (176 lung cancer patients, 140 healthy people) who participated in this study were randomly divided into two groups for the screening, establishment and verification of diagnostic marker combinations.

[0044] Inclusion criteria for lung cancer patients: (a) no history of other malignant tumors, (b) surgical treatment within one month after blood collection, and patholog...

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
Sensitivityaaaaaaaaaa
Login to view more

Abstract

The invention discloses a marker joint detection model for diagnosis of the lung cancer. According to the invention, a carcinoembryonic antigen, a cancer antigen 125, an annexin A1 antibody and an alpha-enolase antibody are used as markers and are applied to preparation of a product for the diagnosis or assisted diagnosis of the lung cancer. According to the invention, the good optimization modelbeing optimal diagnosis combination of four kinds of biomarkers (the CEA, CA125, annexin A1 antibody and and alpha-enolase antibody) is established, wherein the e good optimization model has the better diagnosis capability superior to the single traditional marker diagnosis. The marker joint detection model as a novel method for lung cancer diagnosis has advantages of high sensitivity and specificity and has the important significance in accurate diagnosis of the lung cancer.

Description

technical field [0001] The invention relates to the medical field, in particular to a combined detection model of markers that can be used for the diagnosis of lung cancer. Background technique [0002] Lung cancer is one of the most common malignant tumors in clinical practice. It has a high degree of malignancy and a rapid course of disease. Its morbidity and mortality rate ranks first among malignant tumors, and it shows an increasing trend year by year. According to the data released by the Ministry of Health, lung cancer has become the leading cause of death from malignant tumors in my country, accounting for more than 20% of all malignant tumors. [0003] Accurate diagnosis of lung cancer is the key to reduce mortality, but there is still a lack of effective diagnostic methods, and more than 70% of lung cancer patients have missed the best time for treatment when they are diagnosed. At present, there are mainly two methods for the diagnosis of lung cancer, histology a...

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): G01N33/574
CPCG01N33/57484G01N33/57423
Inventor 赫捷孙楠臧若川
Owner CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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