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Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy

Current anatomic TNM stage classification fails to capture the immune heterogeneity of oral squamous cell carcinoma (OSCC). Increasing evidence indicates the strong association between epithelial-mesenchymal transition (EMT) and tumor immune response. In this study, we employed an EMT signature to c...

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Autores principales: Zhang, Si-yuan, Ren, Xian-yue, Wang, Chun-yang, Chen, Xi-juan, Cao, Ruo-yan, Liu, Qin, Pan, Xue, Zhou, Jia-ying, Zhang, Wei-lin, Tang, Xin-Ran, Cheng, Bin, Wu, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281347/
https://www.ncbi.nlm.nih.gov/pubmed/34277389
http://dx.doi.org/10.3389/fonc.2021.587862
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author Zhang, Si-yuan
Ren, Xian-yue
Wang, Chun-yang
Chen, Xi-juan
Cao, Ruo-yan
Liu, Qin
Pan, Xue
Zhou, Jia-ying
Zhang, Wei-lin
Tang, Xin-Ran
Cheng, Bin
Wu, Tong
author_facet Zhang, Si-yuan
Ren, Xian-yue
Wang, Chun-yang
Chen, Xi-juan
Cao, Ruo-yan
Liu, Qin
Pan, Xue
Zhou, Jia-ying
Zhang, Wei-lin
Tang, Xin-Ran
Cheng, Bin
Wu, Tong
author_sort Zhang, Si-yuan
collection PubMed
description Current anatomic TNM stage classification fails to capture the immune heterogeneity of oral squamous cell carcinoma (OSCC). Increasing evidence indicates the strong association between epithelial-mesenchymal transition (EMT) and tumor immune response. In this study, we employed an EMT signature to classify OSCC patients into epithelial- (E-) and mesenchymal- (M-) phenotypes using TCGA and GSE41613 transcriptome data. The ESTIMATE and CIRBERSORT analyses implied that the EMT signature genes originated from the stroma of the bulk tissue. The M-subtype tumors were characterized as “immune-hot” with more immune cell infiltration than the E-subtype ones. The low infiltration of active immune cells, the high infiltration of inactive immune cells, and the high expressions of immune checkpoints demonstrated an immunosuppressive characteristic of the M-subtype tumors. Moreover, we developed and validated a novel prognostic classifier based on the EMT score, the expressions of seven immune checkpoints, and the TNM stages, which could improve the prediction efficiency of the current clinical parameter. Together, our findings provide a better understanding of the tumor immune heterogeneity and may aid guiding immunotherapy in OSCC.
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spelling pubmed-82813472021-07-16 Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy Zhang, Si-yuan Ren, Xian-yue Wang, Chun-yang Chen, Xi-juan Cao, Ruo-yan Liu, Qin Pan, Xue Zhou, Jia-ying Zhang, Wei-lin Tang, Xin-Ran Cheng, Bin Wu, Tong Front Oncol Oncology Current anatomic TNM stage classification fails to capture the immune heterogeneity of oral squamous cell carcinoma (OSCC). Increasing evidence indicates the strong association between epithelial-mesenchymal transition (EMT) and tumor immune response. In this study, we employed an EMT signature to classify OSCC patients into epithelial- (E-) and mesenchymal- (M-) phenotypes using TCGA and GSE41613 transcriptome data. The ESTIMATE and CIRBERSORT analyses implied that the EMT signature genes originated from the stroma of the bulk tissue. The M-subtype tumors were characterized as “immune-hot” with more immune cell infiltration than the E-subtype ones. The low infiltration of active immune cells, the high infiltration of inactive immune cells, and the high expressions of immune checkpoints demonstrated an immunosuppressive characteristic of the M-subtype tumors. Moreover, we developed and validated a novel prognostic classifier based on the EMT score, the expressions of seven immune checkpoints, and the TNM stages, which could improve the prediction efficiency of the current clinical parameter. Together, our findings provide a better understanding of the tumor immune heterogeneity and may aid guiding immunotherapy in OSCC. Frontiers Media S.A. 2021-07-01 /pmc/articles/PMC8281347/ /pubmed/34277389 http://dx.doi.org/10.3389/fonc.2021.587862 Text en Copyright © 2021 Zhang, Ren, Wang, Chen, Cao, Liu, Pan, Zhou, Zhang, Tang, Cheng and Wu 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 Oncology
Zhang, Si-yuan
Ren, Xian-yue
Wang, Chun-yang
Chen, Xi-juan
Cao, Ruo-yan
Liu, Qin
Pan, Xue
Zhou, Jia-ying
Zhang, Wei-lin
Tang, Xin-Ran
Cheng, Bin
Wu, Tong
Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy
title Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy
title_full Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy
title_fullStr Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy
title_full_unstemmed Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy
title_short Comprehensive Characterization of Immune Landscape Based on Epithelial-Mesenchymal Transition Signature in OSCC: Implication for Prognosis and Immunotherapy
title_sort comprehensive characterization of immune landscape based on epithelial-mesenchymal transition signature in oscc: implication for prognosis and immunotherapy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281347/
https://www.ncbi.nlm.nih.gov/pubmed/34277389
http://dx.doi.org/10.3389/fonc.2021.587862
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