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对HNSCC瘤异质性和编程细胞死亡途径的单细胞洞察力

Yuanhao Chai¹, Jianlin Zhang², Wenwen Shao³

¹Department of Plastic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; University of Southern California, Los Angeles, USA.

Translational oncology

|March 11, 2025

概括

单细胞测序揭示了不同的头部和部状细胞癌 (HNSCC) 亚种群. MALAT1+瘤亚群显示了改变的途径,并预测了患者的存活率,为HNSCC提供了新的治疗点.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
分子生物学分子生物学

背景情况:

头部和部状细胞癌 (HNSCC) 具有显著的死亡率和复发风险,通常在晚期被诊断出来.
了解HNSCC异质性对于改善治疗策略和患者治疗结果至关重要.

研究的目的:

使用单细胞RNA测序 (scRNA-seq) 调查HNSCC瘤亚群.
在HNSCC中识别新的预后标记和治疗点.
完善头部和部状细胞癌的预后模型.

主要方法:

对HNSCC瘤亚种群进行了伪形状轨迹和茎状分析.
在不同的子群体中检查了编程死亡和代谢途径.
使用LASSO回归和MALAT1瘤风险评分 (MTRS) 开发了一个预后模型.

主要成果:

在C2 MALAT1+ 瘤亚群中,编程死亡和代谢途径的表达减少.
关键的转录因子 (LEF1,RFX3,CREM,MZF1,ZNF202) 和风险基因 (ADM,RPL31,EIF5B,TAF7) 被确定.
高的MTRS与更差的生存率,更高的瘤纯度,丰富的CD4记忆T细胞和对特定化疗的敏感性增加相关.

结论:

ScRNA-seq阐明了HNSCC的异质性,特别是C2 MALAT1+瘤亚群.
确定了新的预后标记物和治疗点,进步了对HNSCC进展和耐药性的理解.

关键词:

头部和部状细胞癌 (HNSCC)马拉特语马拉特语马拉特语预测模型的预测模型.编程细胞死亡编程细胞死亡一个单细胞测序.

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