Research Paper Volume 13, Issue 16 pp 20277—20301
Comprehensive analysis of ubiquitin-proteasome system genes related to prognosis and immunosuppression in head and neck squamous cell carcinoma
- 1 Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, P.R. China
- 2 Department of Clinical Research, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, Guangdong, P.R. China
- 3 Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, P.R. China
- 4 Department of Otorhinolaryngology, The First Affiliated Hospital of University of South China, Hengyang 421001, Hunan Province, P.R. China
- 5 Otolaryngology Major Disease Research, Key Laboratory of Hunan Province, Changsha 410008, Hunan, P.R. China
- 6 Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, Hunan, P.R. China
Received: February 11, 2021 Accepted: July 30, 2021 Published: August 16, 2021https://doi.org/10.18632/aging.203411
How to Cite
Copyright: © 2021 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The ubiquitin-proteasome system (UPS) with a capacity of degrading multiple intracellular proteins is an essential regulator in tumor immunosurveillance. Tumor cells that escape from recognition and destruction of immune system have been consistently characterized an important hallmark in the setting of tumor progression. Little know about the exact functions of UPS-related genes (UPSGs) and their relationships with antitumor immunity in head and neck squamous cell carcinoma (HNSCC) patients. In this study, for the first time, we comprehensively identified 114 differentially expressed UPSGs (DEUPSGs) and constructed a prognostic risk model based on the eight DEUPSGs (BRCA1, OSTM1, PCGF2, PSMD2, SOCS1, UCHL1, UHRF1, and USP54) in the TCGA-HNSCC database. This risk model was validated using multiple data sets (all P < 0.05). The high-risk score was found to be an independently prognostic factor in HNSCC patients and was significantly correlated with T cells suppression. Accordingly, our risk model can act as a prognostic signature and provide a novel concept for improving the precise immunotherapy for patients with HNSCC.