Model establishment of prognostic-related immune genes in laryngeal squamous cell carcinoma.
Aquaporins
/ analysis
Betacellulin
/ analysis
Biomarkers, Tumor
Databases, Genetic
Erythropoietin
/ analysis
Female
Gene Expression Regulation, Neoplastic
/ genetics
Glycoproteins
/ analysis
Humans
Immunoproteins
/ analysis
Intercellular Signaling Peptides and Proteins
/ analysis
Laryngeal Neoplasms
/ genetics
Male
Phospholipase C gamma
/ analysis
Prognosis
Proportional Hazards Models
Retinol-Binding Proteins, Cellular
/ analysis
Risk Assessment
Risk Factors
Sensitivity and Specificity
Squamous Cell Carcinoma of Head and Neck
/ genetics
Survival Rate
Toll-Like Receptor 2
/ analysis
Journal
Medicine
ISSN: 1536-5964
Titre abrégé: Medicine (Baltimore)
Pays: United States
ID NLM: 2985248R
Informations de publication
Date de publication:
15 Jan 2021
15 Jan 2021
Historique:
received:
25
04
2020
accepted:
12
12
2020
entrez:
20
1
2021
pubmed:
21
1
2021
medline:
26
1
2021
Statut:
ppublish
Résumé
Laryngeal squamous cell carcinoma (LSCC) is one of the most common malignant tumors of the head and neck in the world. At present, the treatment methods include surgery, radiotherapy, and chemotherapy, but the 5-year survival rate is still not ideal and the quality of life of the patients is low. Due to the relative lack of immunotherapy methods, this study aims to build a risk prediction model of related immune genes, which can be used to effectively predict the prognosis of laryngeal cancer patients, and provide targets for subsequent immunotherapy. We collected the 111 cases of laryngeal squamous cell carcinoma and 12 matched normal samples in the The Cancer Genome Atlas Database (TCGA) gene expression quantification database. The differentially expressed related immune genes were screened by R software version 3.5.2. The COX regression model of immune related genes was constructed, and the sensitivity and specificity of the model were evaluated. The risk value was calculated according to the model, and the risk curve was drawn to verify the correlation between related immune genes, risk score, and clinical traits. We selected 8 immune-related genes that can predict the prognosis of LSCC in a COX regression model and plotted the Kaplan-Meier survival curve. The 5-year survival rate of the high-risk group was 16.5% (95% CI: 0.059-0.459), and that of the low-risk group was 72.9% (95% CI: 0.555-0.956). The area under the receiver operating characteristic (ROC) curve was used to confirm the accuracy of the model (AUG = 0.887). After univariate and multivariate regression analysis, the risk score can be used as an independent risk factor for predicting prognosis. The risk score (P = .021) was positively correlated with the clinical Stage classification. We screened out 8 immune genes related to prognosis: RBP1, TLR2, AQP9, BTC, EPO, STC2, ZAP70, and PLCG1 to construct risk value models, which can be used to speculate the prognosis of the disease and provide new targets for future immunotherapy.
Sections du résumé
BACKGROUND
BACKGROUND
Laryngeal squamous cell carcinoma (LSCC) is one of the most common malignant tumors of the head and neck in the world. At present, the treatment methods include surgery, radiotherapy, and chemotherapy, but the 5-year survival rate is still not ideal and the quality of life of the patients is low. Due to the relative lack of immunotherapy methods, this study aims to build a risk prediction model of related immune genes, which can be used to effectively predict the prognosis of laryngeal cancer patients, and provide targets for subsequent immunotherapy.
METHODS
METHODS
We collected the 111 cases of laryngeal squamous cell carcinoma and 12 matched normal samples in the The Cancer Genome Atlas Database (TCGA) gene expression quantification database. The differentially expressed related immune genes were screened by R software version 3.5.2. The COX regression model of immune related genes was constructed, and the sensitivity and specificity of the model were evaluated. The risk value was calculated according to the model, and the risk curve was drawn to verify the correlation between related immune genes, risk score, and clinical traits.
RESULTS
RESULTS
We selected 8 immune-related genes that can predict the prognosis of LSCC in a COX regression model and plotted the Kaplan-Meier survival curve. The 5-year survival rate of the high-risk group was 16.5% (95% CI: 0.059-0.459), and that of the low-risk group was 72.9% (95% CI: 0.555-0.956). The area under the receiver operating characteristic (ROC) curve was used to confirm the accuracy of the model (AUG = 0.887). After univariate and multivariate regression analysis, the risk score can be used as an independent risk factor for predicting prognosis. The risk score (P = .021) was positively correlated with the clinical Stage classification.
CONCLUSION
CONCLUSIONS
We screened out 8 immune genes related to prognosis: RBP1, TLR2, AQP9, BTC, EPO, STC2, ZAP70, and PLCG1 to construct risk value models, which can be used to speculate the prognosis of the disease and provide new targets for future immunotherapy.
Identifiants
pubmed: 33466212
doi: 10.1097/MD.0000000000024263
pii: 00005792-202101150-00095
pmc: PMC7808462
doi:
Substances chimiques
AQP9 protein, human
0
Aquaporins
0
BTC protein, human
0
Betacellulin
0
Biomarkers, Tumor
0
EPO protein, human
0
Glycoproteins
0
Immunoproteins
0
Intercellular Signaling Peptides and Proteins
0
RBP1 protein, human
0
Retinol-Binding Proteins, Cellular
0
STC2 protein, human
0
TLR2 protein, human
0
Toll-Like Receptor 2
0
Erythropoietin
11096-26-7
PLCG1 protein, human
EC 3.1.4.11
Phospholipase C gamma
EC 3.1.4.3
Types de publication
Evaluation Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e24263Informations de copyright
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
The authors have no conflicts of interest to disclose.
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