Application of CTSD as diagnostic marker in construction of lung squamous cell carcinoma prognostic prediction model

A technology of diagnostic markers and predictive models, applied in the field of biomedicine

Pending 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 CTSD of the present invention as a diagnostic marker in the construction of a lung squamous cell carcinoma prognosis prediction model

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  • Application of CTSD as diagnostic marker in construction of lung squamous cell carcinoma prognostic prediction model
  • Application of CTSD as diagnostic marker in construction of lung squamous cell carcinoma prognostic prediction model
  • Application of CTSD as diagnostic marker in construction of lung squamous cell carcinoma prognostic 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 Through survival analysis, the ARGs related to prognosis were screened, and then the most critical survival-related ARGs (CTSD) were obtained by random forest method, and a risk prediction model based on this gene was constructed by the deep machine learning method of random forest. Patients were divided into low-risk and high-risk groups according to the model. The model was verified by ROC an...

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Abstract

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

Description

technical field [0001] The invention relates to the technical field of biomedicine, specifically, the application of CTSD 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 the c...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886A61K45/00A61P35/00
CPCC12Q1/6886A61K45/00A61P35/00C12Q2600/106C12Q2600/118C12Q2600/158
Inventor 乔田奎罗露梦武多娇庄喜兵
Owner JINSHAN HOSPITAL FUDAN UNIV
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