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与PANoptosis相关的基因和清细胞细胞癌的预后风险模型

Qiyue Zhao¹, Huadong Xie¹, Chaofu Li²

¹Department of Urology, Liuzhou Workers' Hospital, Liuzhou, Guangxi, China.

Frontiers in genetics

|December 3, 2025

概括

这项研究引入了一种新的PANoptosis相关基因 (PRG) 风险模型,用于清细胞细胞癌 (ccRCC). 该模型改善了预后预测,并指导了ccRCC患者的个性化治疗策略.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

清细胞细胞癌 (ccRCC) 的预后仍然很差,特别是转移性疾病.
编程细胞死亡途径PANoptosis在ccRCC中没有明确的作用.
关于PANoptosis对ccRCC病原和患者结局的影响存在一个知识差距.

研究的目的:

研究与PANoptosis相关的基因 (PRG) 在ccRCC中的作用.
开发基于PRG的ccRCC的预后风险模型.
评估该模型对个性化ccRCC管理的临床实用性.

主要方法:

来自TCGA和GEO数据库的524名ccRCC患者的PRG表达的生物信息学分析.
基于PRG表达式的ccRCC集群的识别.
使用LASSO和Cox对枢纽基因的回归进行预后风险模型的开发 (WDR72,ANLN,SLC16A12).
整合多omics数据,包括免疫微环境,瘤突变负担 (TMB),癌症干细胞 (CSC) 指数和药物敏感性.
通过RT-qPCR验证枢纽基因表达.

主要成果:

大多数PRG在低突变率的ccRCC瘤中被上调.
18个PRG与ccRCC患者的存活率有显著相关性.
基于WDR72,ANLN和SLC16A12的预后风险模型将患者分为高风险和低风险组.
高风险得分与肌肉和免疫得分增加,TMB和CSC指数下降相关.
风险模型显示了与药物敏感性的显著关联.

结论:

为ccRCC开发了一种基于PANoptosis的新型预后模型.
这种模型提高了预后准确性和临床实用性,用于个性化的ccRCC管理.
这些发现可以指导在ccRCC治疗中的向和免疫治疗策略.

关键词:

这就是PANoptosis.瘤微环境是一个微环境.清细胞细胞癌是什么?药物敏感性药物敏感性预后预后预后

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