在胃癌中基于与端粒相关的 lncRNAs 的新型预后模型
Xuetong Ding1, Yi Zhang1, Shijie You1
1Department of General Surgery, The Fourth Affiliated Hospital of Soochow University, Soochow University, Suzhou, China.
Translational cancer research
|October 21, 2024
概括
这项研究确定了六种与端粒相关的长非编码RNA (TRL),它们形成了胃癌的预后特征. 这种特征准确地预测了患者的结果,并可能指导向治疗.
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:
- 端粒保护染色体末端,长非编码RNA (lncRNAs) 是癌症中的新兴生物标志物.
- 与端粒相关的lncRNAs (TRLs) 在胃癌预后中的作用仍然未被探索.
- 这项研究旨在确定TRL作为胃癌的潜在生物标志物.
研究的目的:
- 在胃癌中查与端粒相关的 lncRNA (TRL).
- 为胃癌患者开发和验证基于TRL的预后模型.
- 探索TRL签名与瘤微环境和潜在治疗点之间的关系.
主要方法:
- 从胃腺癌 (STAD) 患者的TCGA中检索了与端粒相关的基因和RNA-seq数据.
- 使用单变量和LASSO考克斯回归分析来确定六个差异表达的TRL (TRDEL).
- 使用培训和测试队列构建和验证预后模型,包括生存分析,ROC曲线和TME分析.
主要成果:
- 开发了一个包括六个TRDEL (LINC01537,CFAP61-AS1,DIRC1,RABGAP1L-IT1,DBH-AS1,REPIN1-AS1) 的预后模型.
- 该模型对胃癌患者的预后具有显著的预测能力,在高风险和低风险组中具有不同的概况.
- 分析显示了瘤微环境和风险组之间的免疫相关性中的差异,并确定了潜在的治疗性小分子.
结论:
- 一个基于六个TRDEL的预后模型有效预测胃癌患者的结果.
- 已识别的TRL签名为改善胃癌预后提供了潜力.
- 这些发现表明TRL在胃癌的进展中起作用,并可能代表治疗点.
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