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

A technology of diagnostic markers and predictive models, applied in the field of biomedicine, to achieve the effects of high accuracy, high sensitivity, and reduced treatment costs and discomfort experience

Inactive Publication Date: 2021-06-11
JINSHAN HOSPITAL FUDAN UNIV
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Problems solved by technology

[0007] There is no report about the application of CFLAR 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 CFLAR as diagnostic marker in construction of lung squamous cell carcinoma prognosis prediction model
  • Application of CFLAR as diagnostic marker in construction of lung squamous cell carcinoma prognosis prediction model
  • Application of CFLAR as diagnostic marker in construction of lung squamous cell carcinoma prognosis prediction model

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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 (Autophagy-Related-Genes, ARGs) are obtained, and the verification 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 genes (Autophagy-Related-Genes, ARGs) expression profiles.

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

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Abstract

The invention belongs to the technical field of biomedicine and relates to application of CFLAR as a diagnostic marker in construction of a lung squamous cell carcinoma prognosis predication model. The biomarker CFLAR and other clinical indexes are used in a combined mode, and prognosis detection of lung squamous cell carcinoma can be assisted. According to the application of the CFLAR as the diagnostic marker in the construction of the lung squamous cell carcinoma prognosis predication model of the invention, screening and construction are carried out after full transcriptome sequencing and machine learning of a lung squamous cell carcinoma specimen based on large-sample anti-tumor immunotherapy, so that the prognosis condition of a patient with lung squamous cell carcinoma can be efficiently and accurately predicted; meanwhile, according to the correlation between the risk and different immune cell infiltration levels, immune-related pathways, key immune checkpoint inhibitor expression levels and the like, comprehensive evaluation of a tumor immune microenvironment is achieved, effective guidance is provided for clinicians to make a treatment decision on the patient with the lung squamous cell carcinoma, invalid treatment is reduced, and therefore, the treatment cost and discomfort experience of the patient are reduced.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to the application of CFLAR 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). TNM staging is a generally accepted clinical staging system, which is used to predict the prognosis and guide the treatment of patients with non-small cell lung cancer. However, the current TNM staging system is far from adequate to accurately predict the prognosis of NSCLC patients. 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 only by surgery, and these patients should be able to avoid the extremely strong side effects of adjuvant chemotherapy based on t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886A61K45/00A61P35/00G16H50/50G16B30/00
CPCC12Q1/6886A61K45/00A61P35/00G16H50/50G16B30/00C12Q2600/158C12Q2600/118
Inventor 罗露梦乔田奎武多娇庄喜兵
Owner JINSHAN HOSPITAL FUDAN UNIV
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