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8 gene model for predicting prognosis of IPF patient and application

A gene and patient technology, which is applied to the 8-gene model and its application field to predict the prognosis of IPF patients, can solve the problem that the gene model does not give a clear reference value, and achieve the effect of reducing medical burden and reducing mortality

Pending Publication Date: 2021-09-28
CHINA JAPAN FRIENDSHIP HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the aforementioned existing technologies, in the blood, gene models related to inflammation and immune response have not yet been constructed, and these gene models have not given clear reference values ​​to effectively divide the risk of death of patients, etc., the present invention provides An 8-gene model for predicting the prognosis of IPF patients and its application

Method used

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  • 8 gene model for predicting prognosis of IPF patient and application
  • 8 gene model for predicting prognosis of IPF patient and application
  • 8 gene model for predicting prognosis of IPF patient and application

Examples

Experimental program
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Effect test

Embodiment 1

[0048] Using Gene Chips to Predict the Prognosis of Patients with Idiopathic Pulmonary Fibrosis

[0049] 1. Clinical research object:

[0050] A total of 57 patients with idiopathic pulmonary fibrosis were selected, including 38 males and 19 females, with an average age of 67 years. The diagnostic criteria were all in line with the "Diagnosis and Treatment Standards for Idiopathic Pulmonary Fibrosis" revised in ATS.

[0051] Exclusion criteria: patients with immune system diseases or recent use of immunosuppressants.

[0052] The data come from the Gene Expression Omnibus (GEO), ID is GSE93606.

[0053] 2. Gene chip sequencing, bioinformatics analysis

[0054] The peripheral blood mononuclear cells collected from all subjects were sequenced by high-throughput AFFY gene chips, the sequencing results were processed by R language, and the expression values ​​were transformed by log2.

[0055] 3. DFPRS score calculation.

[0056] 将8个基因的表达值代入计算公式-(0.033982856*expression level o...

Embodiment 2

[0062] Using Gene Chips to Predict the Prognosis of Patients with Idiopathic Pulmonary Fibrosis

[0063] 1. Clinical research object:

[0064] A total of 45 patients with idiopathic pulmonary fibrosis were selected, including 40 males and 5 females, with an average age of 67 years. The diagnostic criteria were all in line with the "Diagnosis and Treatment Standards for Idiopathic Pulmonary Fibrosis" revised in ATS.

[0065] The data come from the Gene Expression Omnibus (GEO), ID is GSE27957.

[0066] 2. Gene chip sequencing, bioinformatics analysis

[0067] The peripheral blood mononuclear cells collected from all subjects were sequenced by high-throughput AFFY gene chips, the sequencing results were processed by R language, and the expression values ​​were transformed by log2.

[0068] 3. DFPRS score calculation.

[0069] 将8个基因的表达值代入计算公式-(0.033982856*expression level of DSC2-0.355507146*expression level of FAIM3-0.453477467*expression level ofFAM102A-0.219619383*expressio...

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Abstract

The invention relates to an 8 gene model for predicting prognosis of an IPF patient. Based on a gene chip sequencing data set of a blood sample, an 8 gene model, namely a DFPRS score related to inflammation and immune response is constructed by genes DSC2, FAIM3, FAM102A, PF4, RGS18, S100A12, SERPINB10 and TXK, the 8 gene model is used for predicting the prognosis of an idiopathic pulmonary fibrosis patient, the DFPRS score can well display the immune and inflammation conditions of the IPF patient, patients with poor IPF prognosis are recognized in an early stage, early discovery and early treatment are carried out, the death rate of the IPF patients is reduced, and the medical burden is reduced.

Description

technical field [0001] The invention relates to the technical field of medical diagnosis technology, in particular to an 8-gene model for predicting the prognosis of IPF patients and its application. Background technique [0002] Idiopathic pulmonary fibrosis (IPF) is a complex disease of recurrent acute lung injury, which can lead to aggravated dyspnea and deterioration of lung function. In the United States, the incidence of IPF among people aged 18-64 is 6.1 / 100,000 per year. The prognosis of IPF patients is poor, most of them die within 2-3 years after diagnosis, and the 5-year survival rate is only 20%. Over the past few decades, rapid advances in genetic and genomic technologies have begun to reshape our understanding of IPF. Therefore, it is very important to explore the gene-related models related to the prognosis of IPF patients. Accumulating evidence suggests that innate and adaptive immune processes can coordinate existing fibrotic responses and correlate with ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B30/00G16B50/30G16H50/30
CPCG16B30/00G16B50/30G16H50/30
Inventor 李毓鹏陈宏代华平王辰
Owner CHINA JAPAN FRIENDSHIP HOSPITAL
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