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基于炎症反应相关基因的HNSCC分子分类 - 综合单细胞和批量RNA-Seq分析

Yong Zhu¹, Yongzhe Zhang², Xiuli Yu³

¹Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, Shandong, People's Republic of China.

Journal of inflammation research

|September 23, 2024

概括

这项研究揭示了脑支状细胞癌 (HNSCC) 中明显的炎症反应模式,影响免疫细胞透,并预测免疫疗法反应. 了解这些炎症特征是开发有效癌症治疗的关键.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
生物信息学是一种生物信息学.

背景情况:

瘤微环境 (TME) 是由瘤细胞,炎症细胞和化学因素之间的复杂相互作用形成的.
了解头部和部状细胞癌 (HNSCC) 的炎症反应对于预测免疫治疗结果至关重要.

研究的目的:

为了研究HNSCC.的炎症反应.
为了确定炎症反应对免疫治疗疗效的影响.

主要方法:

使用TCGA和GEO队列进行分析.
应用了200个与炎症反应相关的基因 (IRG) 的无监督聚类,以确定HNSCC异质性.
使用拉索回归构建了预后签名,并通过qPCR和单细胞RNA测序验证了枢纽基因表达.

主要成果:

确定了三种不同的炎症反应集群,在免疫细胞功能和透方面存在显著差异.
开发了一个预后模型,预测化学疗法和免疫疗法的反应.
通过qPCR和sc-RNAseq确认了预后基因的表达特征,分子对接显示了SCC7与化疗药物的有利结合.

结论:

这项研究阐明了HNSCC中炎症反应概况和免疫透模式之间的复杂关系.
这些发现为预测HNSCC治疗反应的潜在生物标志物提供了洞察力.

关键词:

在HNSCC中,我们可以看到HNSCC.在此之前,TME的免疫疗法免疫疗法炎症反应是一种炎症反应.在sc-RNA序列中.

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