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作 者:Kang Li Caihua Zhang Ruoxing Zhou Maosheng Cheng Rongsong Ling Gan Xiong Jieyi Ma Yan Zhu Shuang Chen Jie Chen Demeng Chen Liang Peng
机构地区:[1]State Key Laboratory of Oncology in South China,Department of Oral and Maxillofacial Surgery,Institute of Precision Medicine,Center for Translational Medicine,The First Affiliated Hospital of Sun Yat-sen University,Guangzhou,China [2]Institute for Advanced Study,Shenzhen University,Shenzhen,China [3]Hospital of Stomatology,Guangdong Provincial Key Laboratory of Stomatology,Guanghua School of Stomatology,Sun Yat-Sen University,Guangzhou,China [4]Senior Department of Oncology,The Fifth Medical Center of PLA General Hospital,Beijing,China
出 处:《International Journal of Oral Science》2024年第3期448-459,共12页国际口腔科学杂志(英文版)
基 金:supported by grants from the National Natural Science Foundation of China(82173362);China Postdoctoral Science Foundation(2022M720175,2023M734003);National Science Foundation of China(82304069).
摘 要:Head and neck squamous cell carcinoma(HNSCC)is characterized by high recurrence or distant metastases rate and the prognosis is challenging.There is mounting evidence that tumor-infiltrating B cells(TIL-Bs)have a crucial,synergistic role in tumor control.However,little is known about the role TIL-Bs play in immune microenvironment and the way TIL-Bs affect the outcome of immune checkpoint blockade.Using single-cell RNA sequencing(scRNA-seq)data from the Gene Expression Omnibus(GEO)database,the study identified distinct gene expression patterns in TIL-Bs.HNSCC samples were categorized into TIL-Bs inhibition and TIL-Bs activation groups using unsupervised clustering.This classification was further validated with TCGA HNSCC data,correlating with patient prognosis,immune cell infiltration,and response to immunotherapy.We found that the B cells activation group exhibited a better prognosis,higher immune cell infiltration,and distinct immune checkpoint levels,including elevated PD-L1.A prognostic model was also developed and validated,highlighting four genes as potential biomarkers for predicting survival outcomes in HNSCC patients.Overall,this study provides a foundational approach for B cells-based tumor classification in HNSCC,offering insights into targeted treatment and immunotherapy strategies.
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