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Lung adenocarcinoma prognosis prediction method and device based on lipid metabolism genes

A prediction method and technology of prediction device, applied in prediction, genomics, biochemical equipment and methods, etc., can solve problems such as unsatisfactory prognosis and limited treatment options for lung adenocarcinoma, and achieve stable prediction performance and good prognosis effect. , the effect of strong robustness

Pending Publication Date: 2022-05-13
FUDAN UNIV SHANGHAI CANCER CENT +1
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Problems solved by technology

Current treatment options for advanced lung adenocarcinoma are limited and prognosis remains unsatisfactory

Method used

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  • Lung adenocarcinoma prognosis prediction method and device based on lipid metabolism genes
  • Lung adenocarcinoma prognosis prediction method and device based on lipid metabolism genes
  • Lung adenocarcinoma prognosis prediction method and device based on lipid metabolism genes

Examples

Experimental program
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Embodiment 1

[0041] This embodiment provides a method for predicting the prognosis of lung adenocarcinoma based on lipid metabolism genes, comprising the following steps:

[0042] S1: Obtain a sample to be tested, and detect the RNA expression levels of multiple genes in the sample to be tested, including GAPDH gene, GNPNAT1 gene, HTATIP2 gene, MFI2 gene, PKP2 gene, RGS20 gene and CHRDL1 gene;

[0043] S2: Calculate the lung adenocarcinoma prognostic risk score according to the detected RNA expression levels of multiple genes.

[0044] Most preferably, the calculation expression of the lung adenocarcinoma prognostic risk score is:

[0045] RiskScore 7 =-0.0103*exp CHRDL1 +0.0001*exp GAPDH +0.0105*exp GNPNAT1 +0.0039*exp HTATIP2 +0.0064*exp MFI2 +0.0085*exp PKP2 +0.0284*exp RGS20

[0046] In the formula, RiskScore 7 Prognostic risk score for lung adenocarcinoma, exp CHRDL1 is the result of the expression level of CHRDL1 gene based on the natural constant e, exp GAPDH is the expr...

Embodiment approach

[0047] As an optional implementation, the method further includes: loading the detected RNA expression levels of multiple genes into a pre-established and trained classifier, calculating the lung adenocarcinoma prognostic risk score, and classifying the lung adenocarcinoma Samples whose prognostic risk score is greater than the preset risk threshold are classified as high-risk group, otherwise they are classified as low-risk group.

[0048] In this example, calculate the RiskScore 7 After that, the RiskScore 7 Perform Z-score transformation into Risk Score (data standardization), and divide samples with Risk Score greater than zero into the high-risk group, and samples less than zero into the low-risk group.

[0049] This embodiment also provides a lung adenocarcinoma prognosis prediction device based on lipid metabolism genes, including:

[0050] The data acquisition module is configured to: acquire the RNA expression levels of multiple genes in the sample to be tested, the...

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Abstract

The invention relates to a lung adenocarcinoma prognosis prediction method and device based on lipid metabolism genes, and the method comprises the following steps: obtaining a to-be-detected sample, and detecting the RNA expression level of a plurality of genes of the to-be-detected sample, the plurality of genes including a GAPDH gene, a GNPNAT1 gene, an HTATIP2 gene, an MFI2 gene, a PKP2 gene, an RGS20 gene and a CHRDL1 gene; and calculating the prognosis risk score of the lung adenocarcinoma according to the detected RNA expression levels of the plurality of genes. Compared with the prior art, the method has the advantages that the obtained 7-gene model has high robustness, and stable prediction efficiency can be exerted in data sets of different platforms; the method has good AUC in a training set and a verification set, and is a model independent of clinical features.

Description

technical field [0001] The invention relates to the technical field of gene detection, in particular to a method and device for predicting the prognosis of lung adenocarcinoma based on lipid metabolism genes. Background technique [0002] Lung cancer is the leading cause of cancer death worldwide, and the five-year survival rate of advanced patients is less than 5%. Among them, lung adenocarcinoma is the main histological subtype of lung cancer, and most patients die due to local recurrence or distant metastasis. Currently, treatment options for advanced lung adenocarcinoma are limited, and the prognosis remains unsatisfactory. Therefore, there is an urgent need for means that can accurately predict the clinical outcome of lung cancer patients, so as to facilitate the formulation of more individualized diagnosis and treatment plans. [0003] Cancer is a complex disease, and the interaction of a tumor with its microenvironment plays an important role in the development of c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G16B20/00G16H50/30C12Q1/6886
CPCG06Q10/04G16H50/30C12Q1/6886G16B20/00C12Q2600/112C12Q2600/118C12Q2600/158
Inventor 许蜜蝶李天祺聂蔚李媛
Owner FUDAN UNIV SHANGHAI CANCER CENT
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