A combined detection model of markers for the diagnosis of lung cancer

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

Active Publication Date: 2022-07-26
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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  • 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

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  • A combined detection model of markers for the diagnosis of lung cancer
  • A combined detection model of markers for the diagnosis of lung cancer
  • A combined detection model of markers for the diagnosis of lung cancer

Examples

Experimental program
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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 autoantibodies; Cancer / testisantigen 1 autoantibodies; Alpha enolase autoantibodies) in samples from healthy controls and lung cancer patients Serum levels of antibodies; 14-3-3 protein theta autoantibodies; AnnexinA1 autoantibodies; PGP 95 autoantibodies; Cellular tumor antigen p53 autoantibodies). The 316 candidates (176 lung cancer patients, 140 healthy people) enrolled in this study were randomly divided into two groups for the screening, establishment and validation of the diagnostic marker combination.

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

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Abstract

The invention discloses a marker combined detection model that can be used for lung cancer diagnosis. The present invention provides the application of carcinoembryonic antigen, cancer antigen 125, annexin A1 antibody and α-enolase antibody as markers in preparing a product for diagnosing or assisting diagnosis of lung cancer. The present invention establishes a good optimization model whose diagnostic ability is obviously superior to that of a single traditional marker - the best diagnostic combination of four biomarkers (CEA, CA125, Annexin A1 antibody and α-enolase antibody). As a new method for lung cancer diagnosis, the invention has high sensitivity and specificity, and is of great significance for accurate diagnosis of lung cancer.

Description

technical field [0001] The invention relates to the field of medicine, in particular to a marker combined detection model that can be used for lung cancer diagnosis. Background technique [0002] Lung cancer is one of the most common malignant tumors in clinic, with high degree of malignancy and rapid course of disease development. 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 reducing 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. Currently, there are two main methods for diagnosing lung cancer: histology and imaging, but both methods have certain limitations. With the development of immunology and molecular biology, tumor-related protein...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G01N33/574
CPCG01N33/57484G01N33/57423
Inventor赫捷孙楠臧若川
OwnerCANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI