Nociceptive neuron-related gene model predicts prognosis and immune microenvironment for lung adenocarcinoma
10.3781/j.issn.1000-7431.2024.2401-0065
- VernacularTitle:基于伤害感受神经元相关基因的肺腺癌预后及免疫预测模型
- Author:
Keyu ZHU
1
;
Shun LU
1
Author Information
1. 上海市胸科医院,上海交通大学医学院附属胸科医院肿瘤内科,上海 200030
- Publication Type:Journal Article
- Keywords:
Lung adenocarcinoma;
Nociceptive neurons;
Prognostic model
- From:
Tumor
2024;44(6):669-682
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To screen out nociceptive neuron-related genes associated with the prognosis of lung adenocarcinoma(LUAD)patients through bioinformatics analysis and construct a prognostic risk assessment model for LUAD based on these genes,as well as to further explore the correlation between this model and tumor immune microenvironment of LUAD patients.Methods:Differentially expressed genes between LUAD tumor tissues and normal lung tissues were obtained from the TCGA database,and compared with 117 known nociceptive neuron-related genes to screen out candidate genes significantly associated with the prognosis of LUAD patients.The Lasso algorithm was used to refine the candidate genes to obtain key genes for constructing the LUAD prognostic risk assessment model.Based on this model,LUAD patients in the TCGA database were divided into high-risk and low-risk groups according to the median of the prognostic risk score.The specificity and sensitivity of the model were assessed using the receiver operating characteristic(ROC)curve,and the external dataset GSE31210 was used to verify the effectiveness of this model in predicting the prognosis of LUAD patients.Additionally,univariate and multivariate COX regression analyses were conducted to compare the independent predictive value of the model and clinical parameters for the prognosis of LUAD patients.Finally,immune infiltration analysis was performed to compare the differences in immune function between high-risk and low-risk LUAD patients,further revealing the potential link between nociceptive neuron-related genes and tumor immunity.Results:A prognostic risk assessment model for LUIAD patients based on 14 nociceptive neuron-related genes was successfully constructed,which was effective in predicting the prognosis of LUAD patients(P<0.001).Further analysis revealed that tumor immune cell infiltration in high-risk LUAD patients was significantly lower than that in low-risk LUAD patients.Conclusion:This study confirms a significant association between nociceptive neuron-related genes and LUAD,and suggesting that injury stimulation can affect LUAD progression by mediating changes in the tumor immune microenvironment.This finding provides a favorable theoretical support for the development of nociceptive neurons and their receptors as future drug targets for LUAD.
