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识别与肺腺癌中的PANoptosis相关的预后基因,并根据生物信息学分析开发基于预测模型
Chi Zhang1, Jiangnan Xia2, Xiujuan Liu1
1Oncology Department, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Scientific reports
|October 20, 2023
概括
一个新的六基因模型通过分析PANoptosis调节器来预测肺腺癌 (LUAD) 患者的预后. 该模型识别出具有不良结果和改变免疫反应的高风险群体,有助于癌症研究.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 免疫学 免疫学 免疫学
背景情况:
- 与细胞死亡相关的基因对于癌症患者的预后至关重要.
- 一种新的细胞死亡途径PANoptosis与癌症和免疫有关,但它在肺腺癌 (LUAD) 中的作用尚不清楚.
研究的目的:
- 为了阐明在LUAD中PANoptosis的意义.
- 为LUAD患者开发基于PANoptosis调节器的预后风险预测模型.
主要方法:
- 从公共数据库中对mRNA基因表达和临床数据的系统分析.
- 使用基因表达总 (GEO) 数据库构建和验证一个六基因风险预测模型.
- 定量逆转录聚合酶链反应 (qRT-PCR) 用于验证肺癌细胞中的基因表达.
主要成果:
- 一个六个基因的签名 (NLRC4,FADD,TRADD,RIPK1,PSTPIP2,MLKL) 准确地预测了LUAD患者的预后.
- 高风险组和集群2与预后不佳,免疫透分子减少和人类白细胞抗原表达相关.
- 与PANoptosis相关的基因 (PRG) 显示出明显的表达模式和与体质突变,瘤免疫功能障碍,干性和免疫透相关的相关性.
结论:
- 开发的六基因风险特征是估计LUAD患者预后的可靠工具.
- 该研究强调了PANoptosis调节器作为LUAD中的生物标志物和治疗点的潜力.
- 进一步的分析探索了签名在名录构造,分层和预测对药物和化疗反应的实用性.
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