基于与端粒相关的基因的预后模型预测了口腔状细胞癌的风险
1Department of Stomatology, Weifang Hospital of Traditional Chinese Medicine, Weifang, 261000, Shandong, China.
BMC oral health
|July 14, 2023
概括
使用与端粒相关的基因 (TRG) 的新预后模型可以预测口腔状细胞癌 (OSCC) 的结果. 该模型识别了参与缺氧和细胞循环途径的关键基因,以更好地进行临床预测.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 分子生物学分子生物学
背景情况:
- 口腔状细胞癌 (OSCC) 是一个重大的临床挑战.
- 准确的预后模型对于有效的OSCC管理至关重要.
- 与端粒相关的基因 (TRG) 涉及到各种癌症,包括OSCC.
研究的目的:
- 开发和验证一个用于OSCC预测的新型预后模型.
- 确定与OSCC预后相关的关键端粒相关基因 (TRG).
- 探索已识别的TRG在OSCC进展中的功能角色.
主要方法:
- 利用了来自公共数据库的基因表达数据和临床表型.
- 在OSCC和正常样本之间识别出差异表达的TRG (DE-TRG).
- 使用8个选定的TRG构建了一个预后模型,并通过qPCR和西布进行验证.
主要成果:
- 确定了169个DE-TRG,主要涉及低氧反应和细胞循环途径.
- 开发了一个基于八个TRG的预测模型:CCNB1,PDK4,PLOD2,RACGAP1,MET,PLK1,KPNA2和CCNA2.
- 验证了模型的可靠性和OSCC样本中预后基因的表达.
结论:
- 一个基于TRG的OSCC新型预后模型已成功构建.
- 特定的TRG如PLOD2,APLK1,KPNA2和CCNA2可能在OSCC进展中发挥作用,并可以作为预后生物标志物.
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