TNF Patterns and Tumor Microenvironment Characterization in Head and Neck Squamous Cell Carcinoma.

TNF Patterns and Tumor Microenvironment Characterization in Head and Neck Squamous Cell Carcinoma.
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DOI:
10.3389/fimmu.2021.754818
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发表时间:
2021
影响因子:
7.3
通讯作者:
Yang A
Yang A
中科院分区:
医学2区
文献类型:
--
作者:
Long Q;Huang C;Meng Q;Peng J;Yao F;Du D;Wang X;Zhu W;Shi D;Xu X;Qi X;Deng W;Chen M;Li Y;Yang A

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HNSCC是一种异质性疾病,其发生于不同的解剖学亚部位,与多种危险因素相关,具有不同的分子病理学特征。HNSCC通常被认为是一种免疫抑制性疾病,以异常的肿瘤免疫微环境为特征。TNF家族在免疫细胞和非免疫细胞的存活、增殖、分化和效应子功能中起关键作用。然而,TNF在HNSCC中的表达模式仍有待系统分析。我们从TCGA和GEO数据集下载了HNSCC的转录谱数据。使用无监督聚类方法来识别不同的TNF模式并对患者进行分类以进行进一步分析。进行PCA以构建TNF相关评分,我们称之为风险评分。本研究通过对46个TNF家族成员的表达进行聚类分析,系统评价了HNSCC患者TNF家族的表达模式和肿瘤免疫微环境特征。我们确定了HNSCC中具有不同临床和免疫特征的两种亚型,并构建了基于TNF家族基因表达谱的风险评分系统。风险评分作为总生存期、临床特征和免疫细胞浸润的可靠预测因子,有可能作为HNSCC免疫治疗的有价值的生物标志物。
HNSCC is a heterogeneous disease, which arises from distinct anatomic subsites, associates with various risk factors and possesses diverse molecular pathological features. Generally, HNSCC is considered as an immunosuppressive disease, characterized by abnormal tumor immune microenvironment. The TNF family plays a crucial role in the survival, proliferation, differentiation, and effector functions in both immune and non-immune cells. However, the expression patterns of TNF in HNSCC remains to be systematically analyzed. We downloaded transcriptional profile data of HNSCC from TCGA and GEO datasets. Unsupervised clustering methods were used to identify different TNF patterns and classify patients for further analysis. PCA was conducted to construct a TNF relevant score, which we called risk score. In this study, we systematically evaluated the patterns of TNF family and tumor immune microenvironment characteristics of HNSCC patients by clustering the expression of 46 members of TNF family. We identified two subtypes with distinct clinical and immune characteristics in HNSCC and constructed a risk scoring system based on the expression profile of TNF family genes. Risk score serves as a reliable predictor of overall survival, clinical characteristics, and immune cell infiltration, which has the potential to be applied as a valuable biomarker for HNSCC immunotherapy.