Application of RGS19 in construction of lung squamous cell carcinoma prognosis prediction model as diagnostic marker

A diagnostic marker, RGS19 technology, applied in the field of biomedicine

Inactive Publication Date: 2021-06-08
JINSHAN HOSPITAL FUDAN UNIV
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Problems solved by technology

[0007] There is no report about the application of RGS19 of the present invention as a diagnostic marker in the construction of a prognosis prediction model for lung squamous cell carcinoma

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  • Application of RGS19 in construction of lung squamous cell carcinoma prognosis prediction model as diagnostic marker
  • Application of RGS19 in construction of lung squamous cell carcinoma prognosis prediction model as diagnostic marker
  • Application of RGS19 in construction of lung squamous cell carcinoma prognosis prediction model as diagnostic marker

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Experimental program
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Embodiment 1

[0024] Example 1 Model construction and effect verification

[0025] 1. Method

[0026] 1.1 The training set comes from the RNA sequencing data and clinical data of 326 cases of lung squamous cell carcinoma from the TCGA database, and the expression profiles of autophagy-related genes (ARGs) are obtained. The validation set comes from the RNA sequencing data of 78 cases of lung squamous cell carcinoma from the GTO database. , to obtain all RNA expression profiles and autophagy-related gene (Autophagy-Related-Genes, ARGs) expression profiles.

[0027] 1.2 ARGs related to prognosis were screened out by survival analysis, and then the most critical survival-related ARGs (RGS19) were obtained by random forest method, and a risk prediction model based on this gene was constructed by deep machine learning method of random forest. The patients were divided into low-risk group and high-risk group according to the risk level obtained by the model. The model was validated by receiver ...

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Abstract

The invention relates to the technical field of biomedicine and particularly relates to application of RGS19 in construction of a lung squamous cell carcinoma prognosis prediction model as a diagnostic marker. According to the application, the biomarker RGS19 is used through being combined with other clinical indexes, and lung squamous cell carcinoma prognosis detection can be made in an assisted manner; screening and constructing are carried out after carrying out full-transcriptome sequencing and machine learning based on lung squamous cell carcinoma specimens subjected to large-sample antitumor immunotherapy, and prognosis conditions of a lung squamous cell carcinoma sufferer can be efficiently and accurately predicted; and meanwhile, comprehensive evaluation on an immunization microenvironment of a tumor is achieved according to correlation between the risk of the tumor and different immunized cell infiltration levels, immunization-related channels and key immunization check point inhibitor expression levels, so that an effective instruction opinion is provided for clinicians for therapy decision making for the lung squamous cell carcinoma sufferer, occurrence of invalid therapy is reduced, and thus, the therapy cost and discomfort experience of the sufferer are reduced.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to the application of RGS19 as a diagnostic marker in constructing a prognosis prediction model of lung squamous cell carcinoma. Background technique [0002] Lung cancer is the most common cause of cancer-related death in the world today, and 80% of it is non-small cell lung cancer (NSCLC). The TNM staging is a generally accepted clinical staging system used to predict prognosis and guide the treatment of patients with non-small cell lung cancer. However, the current TNM staging system is far from sufficient to accurately predict the prognosis of patients with non-small cell lung cancer. For example, for lung cancer patients, even in clinical stage I, the recurrence rate of lung cancer is as high as 35-50%. In addition, a considerable number of patients can be cured by surgery alone, and these patients should be able to avoid the severe side effects of adjuvant chemotherapy b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886A61K45/00A61P35/00
CPCC12Q1/6886A61K45/00A61P35/00C12Q2600/106C12Q2600/118C12Q2600/158
Inventor 罗露梦乔田奎武多娇庄喜兵
Owner JINSHAN HOSPITAL FUDAN UNIV
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