Cargando…

Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma

BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer, which remains a major cause of morbidity and mortality in patients with head and neck cancers. However, the critical immune-related signatures and their prognostic values have rarely been investigated. MATERIALS...

Descripción completa

Detalles Bibliográficos
Autores principales: Zou, Chen, Huang, Dahong, Wei, Haigang, Wu, Siyuan, Song, Jing, Tang, Zhe, Li, Xia, Ai, Yilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420972/
https://www.ncbi.nlm.nih.gov/pubmed/34497859
http://dx.doi.org/10.1155/2021/6203759
_version_ 1783748983596777472
author Zou, Chen
Huang, Dahong
Wei, Haigang
Wu, Siyuan
Song, Jing
Tang, Zhe
Li, Xia
Ai, Yilong
author_facet Zou, Chen
Huang, Dahong
Wei, Haigang
Wu, Siyuan
Song, Jing
Tang, Zhe
Li, Xia
Ai, Yilong
author_sort Zou, Chen
collection PubMed
description BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer, which remains a major cause of morbidity and mortality in patients with head and neck cancers. However, the critical immune-related signatures and their prognostic values have rarely been investigated. MATERIALS AND METHODS: Gene differential analysis was used to measure the differences of gene expression between the groups. Correlation analysis was used to assess the association between the gene expression levels and immune-related risk score/DNA methylation levels. The gene set enrichment analysis (GSEA) was used to identify the pathways or cell types enriched by those identified differentially expressed genes (DEGs). RESULTS: In this study, we identified four immune-related gene signatures, including CTSG, TNFRSF4, LCORL, and PLAU, that were significantly associated with the overall survival in OSCC patients from the Cancer Genome Atlas (TCGA) OSCC cohort. Moreover, these four immune-related signatures were differentially expressed between the OSCC and nontumor tissues. The two groups (high and low risk) stratified by the immune-related risk scores had significantly different OS and mortality rates. The gene expression patterns and prognostic values of these immune-related signatures were also verified in two independent validation cohorts. Furthermore, the downregulated genes in the high-risk group (which were also upregulated in the low-risk group) were significantly enriched in the cell type-specific signatures of type 2 T helper cell (Th2), plasmacytoid dendritic cell (pDC), and memory B cell. In contrast, the upregulated genes in the high-score group were enriched in growth factor receptor-related signaling pathways, such as the VEGFA-VEGFR2 signaling pathway, PI3K-Akt signaling pathway, focal adhesion-PI3K-Akt-mTOR signaling pathway, and PDGF pathway, suggesting that those pathways were inversely correlated with immune cell infiltration. CONCLUSION: In summary, the immune-related signatures had the potential for predicting the risk of OSCC patients. Moreover, the present study also improved our understanding of the association between the growth factor receptor pathways and immune cell infiltration in OSCC.
format Online
Article
Text
id pubmed-8420972
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-84209722021-09-07 Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma Zou, Chen Huang, Dahong Wei, Haigang Wu, Siyuan Song, Jing Tang, Zhe Li, Xia Ai, Yilong J Immunol Res Research Article BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer, which remains a major cause of morbidity and mortality in patients with head and neck cancers. However, the critical immune-related signatures and their prognostic values have rarely been investigated. MATERIALS AND METHODS: Gene differential analysis was used to measure the differences of gene expression between the groups. Correlation analysis was used to assess the association between the gene expression levels and immune-related risk score/DNA methylation levels. The gene set enrichment analysis (GSEA) was used to identify the pathways or cell types enriched by those identified differentially expressed genes (DEGs). RESULTS: In this study, we identified four immune-related gene signatures, including CTSG, TNFRSF4, LCORL, and PLAU, that were significantly associated with the overall survival in OSCC patients from the Cancer Genome Atlas (TCGA) OSCC cohort. Moreover, these four immune-related signatures were differentially expressed between the OSCC and nontumor tissues. The two groups (high and low risk) stratified by the immune-related risk scores had significantly different OS and mortality rates. The gene expression patterns and prognostic values of these immune-related signatures were also verified in two independent validation cohorts. Furthermore, the downregulated genes in the high-risk group (which were also upregulated in the low-risk group) were significantly enriched in the cell type-specific signatures of type 2 T helper cell (Th2), plasmacytoid dendritic cell (pDC), and memory B cell. In contrast, the upregulated genes in the high-score group were enriched in growth factor receptor-related signaling pathways, such as the VEGFA-VEGFR2 signaling pathway, PI3K-Akt signaling pathway, focal adhesion-PI3K-Akt-mTOR signaling pathway, and PDGF pathway, suggesting that those pathways were inversely correlated with immune cell infiltration. CONCLUSION: In summary, the immune-related signatures had the potential for predicting the risk of OSCC patients. Moreover, the present study also improved our understanding of the association between the growth factor receptor pathways and immune cell infiltration in OSCC. Hindawi 2021-08-25 /pmc/articles/PMC8420972/ /pubmed/34497859 http://dx.doi.org/10.1155/2021/6203759 Text en Copyright © 2021 Chen Zou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zou, Chen
Huang, Dahong
Wei, Haigang
Wu, Siyuan
Song, Jing
Tang, Zhe
Li, Xia
Ai, Yilong
Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma
title Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma
title_full Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma
title_fullStr Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma
title_full_unstemmed Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma
title_short Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma
title_sort identification of immune-related risk signatures for the prognostic prediction in oral squamous cell carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420972/
https://www.ncbi.nlm.nih.gov/pubmed/34497859
http://dx.doi.org/10.1155/2021/6203759
work_keys_str_mv AT zouchen identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma
AT huangdahong identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma
AT weihaigang identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma
AT wusiyuan identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma
AT songjing identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma
AT tangzhe identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma
AT lixia identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma
AT aiyilong identificationofimmunerelatedrisksignaturesfortheprognosticpredictioninoralsquamouscellcarcinoma