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Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma

BACKGROUND: Immunotherapy strategies are successful in only a subset of patients with advanced head and neck squamous cell carcinoma (HNSCC). The roles of tumor-infiltrating lymphocytes (TILs) in HNSCC are less clear. Herein, we present a preliminary study to identify the underlying heterogeneity an...

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Autores principales: You, Yuanhe, Du, Zhong, Tian, Zhuowei, Xu, Guisong, Wang, Yanan, Xiao, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798398/
https://www.ncbi.nlm.nih.gov/pubmed/35116672
http://dx.doi.org/10.21037/tcr-21-408
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author You, Yuanhe
Du, Zhong
Tian, Zhuowei
Xu, Guisong
Wang, Yanan
Xiao, Meng
author_facet You, Yuanhe
Du, Zhong
Tian, Zhuowei
Xu, Guisong
Wang, Yanan
Xiao, Meng
author_sort You, Yuanhe
collection PubMed
description BACKGROUND: Immunotherapy strategies are successful in only a subset of patients with advanced head and neck squamous cell carcinoma (HNSCC). The roles of tumor-infiltrating lymphocytes (TILs) in HNSCC are less clear. Herein, we present a preliminary study to identify the underlying heterogeneity and correlations among TILs in HNSCC by bioinformatics analysis of TIL-related biomarkers. METHODS: The expression patterns, clinicopathological values and underlying correlations for the TILs related genes were analyzed based on the TCGA primary HNSCC cohort. The prognostic significance for the involved genes in the HNSCC patients was evaluated by using an online tool, Kaplan-Meier Plotter. Bioinformatics prediction for the co-expression, physical interactions, pathway, and genetic interactions of the involved genes was performed by using GeneMANIA. RESULTS: The expression of programmed death-ligand 1 (PD-L1) was significantly correlated with the expression of CD4 (P<0.01), CD8 (P<0.01), and CD20 (P=0.011), but not CD56 (P=0.065) based on the TCGA primary HNSCC cohort. For the expression of programmed cell death 1 (PD-1), a significant correlation was also observed with the expression of CD4 (P<0.01), CD8 (P<0.01), and CD20 (P<0.01), but not CD56 (P=0.861). For the clinically significant evaluation, variable roles for the biomarkers were compared and demonstrated. Increased expression of CD8 (P=0.029), CD20 (P<0.01), or PD-1 (P=0.0084) significantly correlated with improved overall survival (OS), and increased CD56 expression indicated obviously decreased OS for HNSCC patients (P=0.0033). Significantly positive correlations between human papilloma virus (HPV) status and the expression of CD8 (P<0.01), CD20 (P<0.01) and PD-1 (P<0.01) were demonstrated and a significantly negative correlation between HPV status and CD56 expression was also demonstrated (P<0.01). In addition, IL2RB was determined to be a hub factor that regulates the infiltration of TILs and the expression of PD-1/PD-L1 in HNSCC. CONCLUSIONS: A systematic evaluation for the TILs status can be informative to predict prognosis and direct the immunotherapy for HNSCC patients, but further investigations are still needed.
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spelling pubmed-87983982022-02-02 Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma You, Yuanhe Du, Zhong Tian, Zhuowei Xu, Guisong Wang, Yanan Xiao, Meng Transl Cancer Res Original Article BACKGROUND: Immunotherapy strategies are successful in only a subset of patients with advanced head and neck squamous cell carcinoma (HNSCC). The roles of tumor-infiltrating lymphocytes (TILs) in HNSCC are less clear. Herein, we present a preliminary study to identify the underlying heterogeneity and correlations among TILs in HNSCC by bioinformatics analysis of TIL-related biomarkers. METHODS: The expression patterns, clinicopathological values and underlying correlations for the TILs related genes were analyzed based on the TCGA primary HNSCC cohort. The prognostic significance for the involved genes in the HNSCC patients was evaluated by using an online tool, Kaplan-Meier Plotter. Bioinformatics prediction for the co-expression, physical interactions, pathway, and genetic interactions of the involved genes was performed by using GeneMANIA. RESULTS: The expression of programmed death-ligand 1 (PD-L1) was significantly correlated with the expression of CD4 (P<0.01), CD8 (P<0.01), and CD20 (P=0.011), but not CD56 (P=0.065) based on the TCGA primary HNSCC cohort. For the expression of programmed cell death 1 (PD-1), a significant correlation was also observed with the expression of CD4 (P<0.01), CD8 (P<0.01), and CD20 (P<0.01), but not CD56 (P=0.861). For the clinically significant evaluation, variable roles for the biomarkers were compared and demonstrated. Increased expression of CD8 (P=0.029), CD20 (P<0.01), or PD-1 (P=0.0084) significantly correlated with improved overall survival (OS), and increased CD56 expression indicated obviously decreased OS for HNSCC patients (P=0.0033). Significantly positive correlations between human papilloma virus (HPV) status and the expression of CD8 (P<0.01), CD20 (P<0.01) and PD-1 (P<0.01) were demonstrated and a significantly negative correlation between HPV status and CD56 expression was also demonstrated (P<0.01). In addition, IL2RB was determined to be a hub factor that regulates the infiltration of TILs and the expression of PD-1/PD-L1 in HNSCC. CONCLUSIONS: A systematic evaluation for the TILs status can be informative to predict prognosis and direct the immunotherapy for HNSCC patients, but further investigations are still needed. AME Publishing Company 2021-08 /pmc/articles/PMC8798398/ /pubmed/35116672 http://dx.doi.org/10.21037/tcr-21-408 Text en 2021 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
You, Yuanhe
Du, Zhong
Tian, Zhuowei
Xu, Guisong
Wang, Yanan
Xiao, Meng
Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma
title Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma
title_full Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma
title_fullStr Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma
title_full_unstemmed Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma
title_short Bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma
title_sort bioinformatics analysis for the biomarkers of the tumor-infiltrating lymphocytes in head and neck squamous cell carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798398/
https://www.ncbi.nlm.nih.gov/pubmed/35116672
http://dx.doi.org/10.21037/tcr-21-408
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