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A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma
The immune response within the tumor microenvironment plays a key role in tumorigenesis and determines the clinical outcomes of head and neck squamous cell carcinoma (HNSCC). However, to date, very limited robust and reliable immunological biomarkers have been developed that are capable of estimatin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249947/ https://www.ncbi.nlm.nih.gov/pubmed/34220923 http://dx.doi.org/10.3389/fgene.2021.570336 |
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author | Zhang, Yi Chen, Ping Zhou, Qiang Wang, Hongyan Hua, Qingquan Wang, Jie Zhong, Hongliang |
author_facet | Zhang, Yi Chen, Ping Zhou, Qiang Wang, Hongyan Hua, Qingquan Wang, Jie Zhong, Hongliang |
author_sort | Zhang, Yi |
collection | PubMed |
description | The immune response within the tumor microenvironment plays a key role in tumorigenesis and determines the clinical outcomes of head and neck squamous cell carcinoma (HNSCC). However, to date, very limited robust and reliable immunological biomarkers have been developed that are capable of estimating prognosis in HNSCC patients. In this study, we aimed to identify the effects of novel immune-related gene signatures (IRGs) that can predict HNSCC prognosis. Based on gene expression profiles and clinical data of HNSCC patient cohorts from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, a total of 439 highly variable expressed immune-related genes (including 239 upregulated and 200 downregulated genes) were identified by using differential gene expression analysis. Pathway enrichment analysis indicated that these immune-related differentially expressed genes were enriched in inflammatory functions. After process screening in the training TCGA cohort, six immune-related genes (PLAU, STC2, TNFRSF4, PDGFA, DKK1, and CHGB) were significantly associated with overall survival (OS) based on the LASSO Cox regression model. Integrating these genes with clinicopathological features, a multivariable model was built and suggested better performance in determining patients’ OS in the testing cohort, and the independent validation cohort. In conclusion, a well-established model encompassing both immune-related gene signatures and clinicopathological factors would serve as a promising tool for the prognostic prediction of HNSCC. |
format | Online Article Text |
id | pubmed-8249947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82499472021-07-03 A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma Zhang, Yi Chen, Ping Zhou, Qiang Wang, Hongyan Hua, Qingquan Wang, Jie Zhong, Hongliang Front Genet Genetics The immune response within the tumor microenvironment plays a key role in tumorigenesis and determines the clinical outcomes of head and neck squamous cell carcinoma (HNSCC). However, to date, very limited robust and reliable immunological biomarkers have been developed that are capable of estimating prognosis in HNSCC patients. In this study, we aimed to identify the effects of novel immune-related gene signatures (IRGs) that can predict HNSCC prognosis. Based on gene expression profiles and clinical data of HNSCC patient cohorts from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, a total of 439 highly variable expressed immune-related genes (including 239 upregulated and 200 downregulated genes) were identified by using differential gene expression analysis. Pathway enrichment analysis indicated that these immune-related differentially expressed genes were enriched in inflammatory functions. After process screening in the training TCGA cohort, six immune-related genes (PLAU, STC2, TNFRSF4, PDGFA, DKK1, and CHGB) were significantly associated with overall survival (OS) based on the LASSO Cox regression model. Integrating these genes with clinicopathological features, a multivariable model was built and suggested better performance in determining patients’ OS in the testing cohort, and the independent validation cohort. In conclusion, a well-established model encompassing both immune-related gene signatures and clinicopathological factors would serve as a promising tool for the prognostic prediction of HNSCC. Frontiers Media S.A. 2021-06-18 /pmc/articles/PMC8249947/ /pubmed/34220923 http://dx.doi.org/10.3389/fgene.2021.570336 Text en Copyright © 2021 Zhang, Chen, Zhou, Wang, Hua, Wang and Zhong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zhang, Yi Chen, Ping Zhou, Qiang Wang, Hongyan Hua, Qingquan Wang, Jie Zhong, Hongliang A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma |
title | A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma |
title_full | A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma |
title_fullStr | A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma |
title_full_unstemmed | A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma |
title_short | A Novel Immune-Related Prognostic Signature in Head and Neck Squamous Cell Carcinoma |
title_sort | novel immune-related prognostic signature in head and neck squamous cell carcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249947/ https://www.ncbi.nlm.nih.gov/pubmed/34220923 http://dx.doi.org/10.3389/fgene.2021.570336 |
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