Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma
Background: Oral squamous cell carcinoma (OSCC) is the most common cancer of oral and maxillofacial region. A recent clinical research has shown that tumor immune microenvironment (TIME)cells are closely related to immunotherapy sensitivity and OSCC prognosis. Nonetheless, a comprehensive analysis o...
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Frontiers Media S.A.
2022-04-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.788580/full |
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author | Yijie Zhao Dongyi Chen Junhao Yin Jian Xie Chun-yu Sun Chun-yu Sun Mengmeng Lu |
author_facet | Yijie Zhao Dongyi Chen Junhao Yin Jian Xie Chun-yu Sun Chun-yu Sun Mengmeng Lu |
author_sort | Yijie Zhao |
collection | DOAJ |
description | Background: Oral squamous cell carcinoma (OSCC) is the most common cancer of oral and maxillofacial region. A recent clinical research has shown that tumor immune microenvironment (TIME)cells are closely related to immunotherapy sensitivity and OSCC prognosis. Nonetheless, a comprehensive analysis of TIME in OSCC has not been reported.Methods: Bioinformatics and computational algorithms were employed to determine the significance of TIME cells in 257 OSCC patients. TIME scores were measured by three TIME models, and then used to evaluate the prognosis of OSCC patients.Results: High TIME score was characterized by better prognosis in OSCC patients less than 60 years old, overexpression of immunotherapy targets (e.g., PD-1 and CLTA-4), and higher T-cell activity to inhibit tumor growth. Besides, poor prognosis was associated with low time score.Conclusion: TIME score exhibited potential as a prognostic biomarker and an indicator in predict immunotherapeutic outcomes. Through the understanding of TIME model, this study can provide a better scheme for immunotherapy as the effective treatment of OSCC patients in the future. |
first_indexed | 2024-12-21T10:27:46Z |
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issn | 1664-8021 |
language | English |
last_indexed | 2024-12-21T10:27:46Z |
publishDate | 2022-04-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Genetics |
spelling | doaj.art-0fdf4612163a4817a3b1d58508816a2b2022-12-21T19:07:16ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-04-011310.3389/fgene.2022.788580788580Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell CarcinomaYijie Zhao0Dongyi Chen1Junhao Yin2Jian Xie3Chun-yu Sun4Chun-yu Sun5Mengmeng Lu6Department of Oral and Maxillofacial Surgery, Shanghai Stomatological Hospital, Fudan University, Shanghai, ChinaDepartment of Prosthodontics, School and Hospital of Stomatology, Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, ChinaDepartment of Oral Surgery, Shanghai Ninth People’s Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Prosthodontics, School and Hospital of Stomatology, Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, ChinaDepartment of Oral Surgery, Shanghai Ninth People’s Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Oral and Maxillofacial Surgery, Shanghai Stomatological Hospital, Fudan University, Shanghai, ChinaBackground: Oral squamous cell carcinoma (OSCC) is the most common cancer of oral and maxillofacial region. A recent clinical research has shown that tumor immune microenvironment (TIME)cells are closely related to immunotherapy sensitivity and OSCC prognosis. Nonetheless, a comprehensive analysis of TIME in OSCC has not been reported.Methods: Bioinformatics and computational algorithms were employed to determine the significance of TIME cells in 257 OSCC patients. TIME scores were measured by three TIME models, and then used to evaluate the prognosis of OSCC patients.Results: High TIME score was characterized by better prognosis in OSCC patients less than 60 years old, overexpression of immunotherapy targets (e.g., PD-1 and CLTA-4), and higher T-cell activity to inhibit tumor growth. Besides, poor prognosis was associated with low time score.Conclusion: TIME score exhibited potential as a prognostic biomarker and an indicator in predict immunotherapeutic outcomes. Through the understanding of TIME model, this study can provide a better scheme for immunotherapy as the effective treatment of OSCC patients in the future.https://www.frontiersin.org/articles/10.3389/fgene.2022.788580/fullOSCCtime scoreimmunotherapyprognosisbiomarker |
spellingShingle | Yijie Zhao Dongyi Chen Junhao Yin Jian Xie Chun-yu Sun Chun-yu Sun Mengmeng Lu Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma Frontiers in Genetics OSCC time score immunotherapy prognosis biomarker |
title | Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma |
title_full | Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma |
title_fullStr | Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma |
title_full_unstemmed | Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma |
title_short | Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma |
title_sort | comprehensive analysis of tumor immune microenvironment characteristics for the prognostic prediction and immunotherapy of oral squamous cell carcinoma |
topic | OSCC time score immunotherapy prognosis biomarker |
url | https://www.frontiersin.org/articles/10.3389/fgene.2022.788580/full |
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