Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma
Successful eradication of tumors by the immune system depends on generation of antigen-specific T cells that migrate to tumor sites and kill cancerous cells. However, presence of suppressive Treg populations inside tumor microenvironment hinders effector T cell function and decreases antitumor immun...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:78a56b6cc5da4d029ff2ebd10aafbce22021-11-22T06:15:13ZIdentification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma1664-322410.3389/fimmu.2021.782216https://doaj.org/article/78a56b6cc5da4d029ff2ebd10aafbce22021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fimmu.2021.782216/fullhttps://doaj.org/toc/1664-3224Successful eradication of tumors by the immune system depends on generation of antigen-specific T cells that migrate to tumor sites and kill cancerous cells. However, presence of suppressive Treg populations inside tumor microenvironment hinders effector T cell function and decreases antitumor immunity. In this study we independently evaluated and confirmed prognostic signature of 17-Treg-related-lncRNA. Immune cell infiltration analysis using 17-lncRNA signature as a probe, accurately described Treg populations in tumor immune microenvironment. 17-lncRNA signature model predicted prognosis with excellent accuracy in all three cohorts: training cohort (AUC=0.82), testing cohort (AUC=0.61) and total cohort (AUC=0.72). The Kaplan-Meier analysis confirmed that the overall survival of patients in the low-risk group was significantly better than those in the high-risk group(P<0.001). CIBERSORT analysis confirmed that low risk group had higher infiltration of tumor killer CD8 T cells, memory activated CD4 T cells, follicular helper T cells and T cells regulatory (Tregs), and lower expression of M0 macrophages and Mast cells activated. These results indicate that the 17-lncRNA signature is a novel prognostic and support the use of lncRNA as a stratification tool to help guide the course of treatment and clinical decision making in patients at high risk of HNSCC.Qi SunQi SunYumei LiYumei LiXin YangXin YangXinxin WuXinxin WuZhen LiuZhen LiuYakui MouYakui MouXicheng SongXicheng SongFrontiers Media S.A.articleregulatory T cell heterogeneitylong non-coding RNAprognostic signatureimmune cell infiltrationhead and neck squamous cell carcinomaImmunologic diseases. AllergyRC581-607ENFrontiers in Immunology, Vol 12 (2021) |
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topic |
regulatory T cell heterogeneity long non-coding RNA prognostic signature immune cell infiltration head and neck squamous cell carcinoma Immunologic diseases. Allergy RC581-607 |
spellingShingle |
regulatory T cell heterogeneity long non-coding RNA prognostic signature immune cell infiltration head and neck squamous cell carcinoma Immunologic diseases. Allergy RC581-607 Qi Sun Qi Sun Yumei Li Yumei Li Xin Yang Xin Yang Xinxin Wu Xinxin Wu Zhen Liu Zhen Liu Yakui Mou Yakui Mou Xicheng Song Xicheng Song Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma |
description |
Successful eradication of tumors by the immune system depends on generation of antigen-specific T cells that migrate to tumor sites and kill cancerous cells. However, presence of suppressive Treg populations inside tumor microenvironment hinders effector T cell function and decreases antitumor immunity. In this study we independently evaluated and confirmed prognostic signature of 17-Treg-related-lncRNA. Immune cell infiltration analysis using 17-lncRNA signature as a probe, accurately described Treg populations in tumor immune microenvironment. 17-lncRNA signature model predicted prognosis with excellent accuracy in all three cohorts: training cohort (AUC=0.82), testing cohort (AUC=0.61) and total cohort (AUC=0.72). The Kaplan-Meier analysis confirmed that the overall survival of patients in the low-risk group was significantly better than those in the high-risk group(P<0.001). CIBERSORT analysis confirmed that low risk group had higher infiltration of tumor killer CD8 T cells, memory activated CD4 T cells, follicular helper T cells and T cells regulatory (Tregs), and lower expression of M0 macrophages and Mast cells activated. These results indicate that the 17-lncRNA signature is a novel prognostic and support the use of lncRNA as a stratification tool to help guide the course of treatment and clinical decision making in patients at high risk of HNSCC. |
format |
article |
author |
Qi Sun Qi Sun Yumei Li Yumei Li Xin Yang Xin Yang Xinxin Wu Xinxin Wu Zhen Liu Zhen Liu Yakui Mou Yakui Mou Xicheng Song Xicheng Song |
author_facet |
Qi Sun Qi Sun Yumei Li Yumei Li Xin Yang Xin Yang Xinxin Wu Xinxin Wu Zhen Liu Zhen Liu Yakui Mou Yakui Mou Xicheng Song Xicheng Song |
author_sort |
Qi Sun |
title |
Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma |
title_short |
Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma |
title_full |
Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma |
title_fullStr |
Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma |
title_full_unstemmed |
Identification and Validation of 17-lncRNA Related to Regulatory T Cell Heterogeneity as a Prognostic Signature for Head and Neck Squamous Cell Carcinoma |
title_sort |
identification and validation of 17-lncrna related to regulatory t cell heterogeneity as a prognostic signature for head and neck squamous cell carcinoma |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/78a56b6cc5da4d029ff2ebd10aafbce2 |
work_keys_str_mv |
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