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在甲状腺癌中探索与免疫相关的铁灭基因:全面分析

Zixuan Ru¹, Siwei Li², Minnan Wang¹

¹Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.

|April 29, 2025

概括

这项研究确定了甲状腺癌中关键的免疫相关铁灭基因 (IRFG),开发了一种预后模型,以改善患者的治疗结果,并为这种具有挑战性的疾病发现新的治疗点.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
遗传学是一个遗传学.

背景情况:

由于发病率的增加和预后不佳,复发性甲状腺癌带来了重大挑战.
铁亡,一种受瘤微环境 (TME) 影响的调节细胞死亡形式,提供了一种潜在的抗癌策略.
确定新的治疗点对于改善甲状腺癌治疗结果至关重要.

研究的目的:

在甲状腺癌中探索与免疫相关的铁灭基因 (IRFGs).
确定新的治疗点,并开发甲状腺癌的预后模型.
了解IRFG在瘤微环境和免疫反应中的作用.

主要方法:

在TCGA-THCA数据上利用CIBERSORTx和加权基因共同表达网络分析 (WGCNA) 来识别枢纽基因.
使用 LASSO 考克斯回归构建了一个预后模型,并通过皮尔森相关性分析了 IRFG 与免疫特征的关系.
采用单细胞RNA测序 (scRNA-seq) 进行细胞子集的基因表达分析和验证的qRT-PCR.

主要成果:

确定了12个IRFG,将甲状腺癌分为三个不同的亚型,结果有显著差异.
开发了一个基于六个关键IRFG (ACSL5,HSD17B11,CCL5,NCF2,PSME1,ACTB) 的预后风险评分模型,与免疫细胞透和TME反应相关.
预后风险评分是甲状腺癌结局的显著风险因素 (HR = 14.737,p = 0.009);scRNA-seq表明主要的髓状细胞表达,通过qRT-PCR验证.

结论:

集成批量和单细胞RNA测序数据,以识别甲状腺癌中关键的IRFG.
开发了基于IRFG的强大的预后模型,增强了对甲状腺癌患者的预后评估.
这些发现为治疗甲状腺癌提供了新的治疗目标和策略.

关键词:

在TCGA中,TCGA就是TCGA.生物信息学分析分析生物标志物生物标志物与免疫相关的铁化.预测模型的预测模型.qRTPCR验证的时间甲状腺癌是一种癌症.瘤微环境是一个微环境.

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