免疫系统
细胞
分层(种子)
医学
危险分层
肿瘤科
癌症研究
内科学
免疫学
生物
遗传学
种子休眠
发芽
植物
休眠
作者
Kang Li,Caihua Zhang,Ruxia Zhou,Maosheng Cheng,Rongsong Ling,Guanglei Xiong,Jieyi Ma,Yunlong Zhu,Shuang Chen,Jie Chen,Demeng Chen,Liang Peng
标识
DOI:10.1038/s41368-024-00292-1
摘要
Abstract 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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