Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures

Abstract The tumor microenvironment (TME) is of great clinical significance for predicting the therapeutic effect of tumors. Nonetheless, there was no systematic analysis of cellular interactions in the TME of head and neck cancer (HNSC). This study used gene expression data from 816 patients with H...

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Autores principales:	Mengqi Huo, Ying Zhang, Zhong Chen, Suxin Zhang, Yang Bao, Tianke Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/29635b69872c4bcbba7e17f94dd78bcd
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spelling	oai:doaj.org-article:29635b69872c4bcbba7e17f94dd78bcd2021-12-02T15:39:40ZTumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures10.1038/s41598-020-68074-32045-2322https://doaj.org/article/29635b69872c4bcbba7e17f94dd78bcd2020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-68074-3https://doaj.org/toc/2045-2322Abstract The tumor microenvironment (TME) is of great clinical significance for predicting the therapeutic effect of tumors. Nonetheless, there was no systematic analysis of cellular interactions in the TME of head and neck cancer (HNSC). This study used gene expression data from 816 patients with HNSC to analyze the scores of 22 immune cells. On this basis, we have established a novel TMEscore-based prognostic risk model. The relationship between TMEscore and clinical and genomic characteristics was analyzed. The sample was divided into risk-H and risk-L groups based on the prognosis risk model of TMEscore, with significant differences in overall survival between the two groups (log rank p < 0.001). In terms of clinical features, the TMEscore is closely related to the T staging, Grade, and HPV. As for genomic characteristics, the genomic features of the Risk-H samples are a low expression of immune-related genes and high-frequency mutations of TP53 and CEP152. This model was validated in an external test set, in which the prognosis for Risk-H group and Risk-L group was also significantly different (log rank p = 0.017). A quantitative method of TME infiltration pattern is established, which may be a potential predictor of HNSC prognosis.Mengqi HuoYing ZhangZhong ChenSuxin ZhangYang BaoTianke LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mengqi Huo Ying Zhang Zhong Chen Suxin Zhang Yang Bao Tianke Li Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures
description	Abstract The tumor microenvironment (TME) is of great clinical significance for predicting the therapeutic effect of tumors. Nonetheless, there was no systematic analysis of cellular interactions in the TME of head and neck cancer (HNSC). This study used gene expression data from 816 patients with HNSC to analyze the scores of 22 immune cells. On this basis, we have established a novel TMEscore-based prognostic risk model. The relationship between TMEscore and clinical and genomic characteristics was analyzed. The sample was divided into risk-H and risk-L groups based on the prognosis risk model of TMEscore, with significant differences in overall survival between the two groups (log rank p < 0.001). In terms of clinical features, the TMEscore is closely related to the T staging, Grade, and HPV. As for genomic characteristics, the genomic features of the Risk-H samples are a low expression of immune-related genes and high-frequency mutations of TP53 and CEP152. This model was validated in an external test set, in which the prognosis for Risk-H group and Risk-L group was also significantly different (log rank p = 0.017). A quantitative method of TME infiltration pattern is established, which may be a potential predictor of HNSC prognosis.
format	article
author	Mengqi Huo Ying Zhang Zhong Chen Suxin Zhang Yang Bao Tianke Li
author_facet	Mengqi Huo Ying Zhang Zhong Chen Suxin Zhang Yang Bao Tianke Li
author_sort	Mengqi Huo
title	Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures
title_short	Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures
title_full	Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures
title_fullStr	Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures
title_full_unstemmed	Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures
title_sort	tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/29635b69872c4bcbba7e17f94dd78bcd
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_version_	1718385862035636224

Tumor microenvironment characterization in head and neck cancer identifies prognostic and immunotherapeutically relevant gene signatures

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