Effective TME-related signature to predict prognosis of patients with head and neck squamous cell carcinoma

Frontiers in Molecular Biosciences

Molecular Biosciences

Ruihong Li¹  Xinlong Yan¹  Yuanshuai Li¹  Chen Li¹  Yuting Yong²  Xingxing Zhao²  Wenting Pan²  Lingfei Wan²  Chao Yang³  Wen Yue⁴ 

[1] College of Life Science and Bioengineering, Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China;College of Life Science and Bioengineering, Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China;Stem Cell and Regenerative Medicine Lab, Beijing Institute of Radiation Medicine, Beijing, China;Department of Nucleus Radiation-Related Injury Treatment, PLA Rocket Force Characteristic Medical Center, Beijing, China;Stem Cell and Regenerative Medicine Lab, Beijing Institute of Radiation Medicine, Beijing, China;South China Research Center for Stem Cell and Regenerative Medicine, Guangzhou, China;

关键词: head and neck squamous cell carcinoma;    tumor microenvironment;    immune infiltration;    tumor mutation burden;    prognosis;    nomogram;   

DOI  :  10.3389/fmolb.2023.1232875

 received in 2023-06-01, accepted in 2023-08-07,  发布年份 2023

来源: Frontiers

【 摘 要 】

Introduction: The tumor microenvironment (TME) is crucial for the development of head and neck squamous cell carcinoma (HNSCC). However, the correlation of the characteristics of the TME and the prognosis of patients with HNSCC remains less known.Methods: In this study, we calculated the immune and stromal cell scores using the “estimate” R package. Kaplan-Meier survival and CIBERSORT algorithm analyses were applied in this study.Results: We identified seven new markers: FCGR3B, IGHV3-64, AC023449.2, IGKV1D-8, FCGR2A, WDFY4, and HBQ1. Subsequently, a risk model was constructed and all HNSCC samples were grouped into low- and high-risk groups. The results of both the Kaplan-Meier survival and receiver operating characteristic curve (ROC) analyses showed that the prognosis indicated by the model was accurate (0.758, 0.756, and 0.666 for 1-, 3- and 5-year survival rates). In addition, we applied the CIBERSORT algorithm to reveal the significant differences in the infiltration levels of immune cells between the two risk groups.Discussion: Our study elucidated the roles of the TME and identified new prognostic biomarkers for patients with HNSCC.

【 授权许可】

Unknown   
Copyright © 2023 Wan, Li, Pan, Yong, Yang, Li, Zhao, Li, Yue and Yan.