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Lung adenocarcinoma biomarkers and related application

A biomarker and lung adenocarcinoma technology, applied in the field of disease diagnosis, can solve the problems of hidden onset, rising morbidity and mortality

Inactive Publication Date: 2019-10-15
QINGDAO MEDINTELL BIOMEDICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the clinical diagnosis and treatment technology of lung cancer has been updating and developing, due to its hidden onset and rapid progress, the morbidity and mortality are still rising

Method used

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  • Lung adenocarcinoma biomarkers and related application
  • Lung adenocarcinoma biomarkers and related application
  • Lung adenocarcinoma biomarkers and related application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Example 1 QPCR verification of related differentially expressed genes

[0044] 1. Sample collection

[0045] 59 lung adenocarcinoma tissues and 59 adjacent tissues were collected, and all samples were placed in cryopreservation tubes with RNA protection solution immediately after isolation, and stored in a -80°C refrigerator within 30 minutes. The entire operation and storage The process follows the enzyme-free principle.

[0046] 2. Extract tissue RNA

[0047] Total RNA was extracted from lung adenocarcinoma tissues and paracancerous tissues by TRIzol RNA extraction method.

[0048] (1) Pre-cool the mortar with liquid nitrogen, put the tissue sample into the mortar with liquid nitrogen, and fully grind the tissue sample into powder under liquid nitrogen;

[0049] (2) Transfer the sample powder into a 2.0ml EP tube filled with TRIzol lysate, (50mg of tissue sample can be added to each ml of lysate), shake vigorously, mix well, and lay flat at room temperature for 5-1...

Embodiment 2

[0083] Example 2 Candidate gene ROC curve analysis

[0084] 1. ROC curve analysis

[0085] Use the pROC package of R language to analyze the receiver operating characteristics of S100P, COL17A1, CXCL14, GLB1L or ITLN1, calculate the binomial exact confidence space, draw the ROC curve, and calculate the area under the curve.

[0086] 2. Results

[0087] The results are shown in Table 5. The AUC values ​​of S100P, COL17A1, CXCL14, GLB1L, and ITLN1 are higher than 0.7, and the AUC value of ITLN1 is the highest. When the above genes are combined, any combination of S100P, COL17A1, CXCL14, and GLB1L, The AUC values ​​all increased significantly, indicating that the combined diagnosis of S100P, COL17A1, CXCL14, and GLB1L has higher accuracy than single application, suggesting that the combination of S100P, COL17A1, CXCL14, and GLB1L can be used in the joint diagnosis of lung adenocarcinoma.

[0088]Table 5 Candidate genes and their combined AUC values

[0089] Gene AU...

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Abstract

The invention discloses lung adenocarcinoma biomarkers and related application, and the biomarkers are at least two of S100P, COL17A1, CXCL14 and GLB1L3. The study of the present invention demonstrates that the mRNA expression levels of S100P, COL17A1, CXCL14 and GLB1L3 genes are significantly up-regulated in lung adenocarcinoma patients compared with normal lung tissues. ROC curve analysis showsthat the combination of the above genes has a high AUC value, suggesting that S100P, COL17A1, CXCL14 and GLB1L3 can be combined and applied for the diagnosis of lung adenocarcinoma, and can be used toprepare products for the diagnosis of lung adenocarcinoma, and the products can be used in clinical application.

Description

technical field [0001] The invention belongs to the field of disease diagnosis and relates to lung adenocarcinoma biomarkers and related applications, in particular to the application of S100P, COL17A1, CXCL14 or GLB1L3 in the diagnosis of lung adenocarcinoma. Background technique [0002] Lung cancer (LC) is one of the most common malignant tumors in humans. In 2011, in China, lung cancer patients had the highest morbidity and mortality among all malignant tumors, with an incidence of about 48.42 / 100,000 and a death rate of about 39.27 / 100,000 (McGuire S, World Cancer Report 2014. Geneva, Switzerland: WorldHealth Organization, International Agency for research on cancer, WHO press, 2015 [J]. 2016). Lung cancer is divided into small cell lung cancer (Small cell lung cancer, SCLC) and non-small cell lung cancer (Non-small cell lung cancer, NSCLC). Non-small cell lung cancer accounts for more than 85% of the total number of lung cancers. NSCLC mainly includes: lung adenocarci...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G01N33/574
CPCC12Q1/6886C12Q2600/158G01N33/57423G01N33/57484
Inventor 宋宏涛
Owner QINGDAO MEDINTELL BIOMEDICAL CO LTD
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