基于对肺腺癌患者单细胞测序的伪时间分析的瘤预后风险分层
Huanle Jin1,2, Huandi Jin1,2, Ting Wu1,2
1Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Journal of thoracic disease
|January 12, 2026
概括
这项研究确定了伪时间差异基因 (PTDGs),以根据预后分层肺腺癌 (LUAD) 患者. 这些PTDG显示出改善LUAD风险评估的生物标志物的潜力.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 对肺腺癌 (LUAD) 的准确预后风险分层是一个重大的临床挑战.
- 了解LUAD发育途径对于改善患者的治疗结果至关重要.
研究的目的:
- 通过单细胞分析识别与LUAD进展相关的新基因.
- 根据这些已识别的基因,为LUAD患者开发一个强大的预后风险分层模型.
主要方法:
- 单细胞RNA测序数据分析以识别伪时间差异基因 (PTDGs).
- 使用Monocle进行轨迹分析,并使用Cox,LASSO和RF进行预后签名构建.
- 使用多中心数据集和免疫组织化学验证了预后模型.
主要成果:
- 确定了13个关键的PTDG与LUAD预后密切相关.
- 开发了一个基于PTDG的风险模型,有效地将LUAD患者分为低风险和高风险组.
- 在LUAD组织中证实了特定PTDG (DDIT4,FURIN,PTTG1,RIPK2) 的显著上调.
结论:
- 伪时间差异基因 (PTDGs) 作为 LUAD 中预后风险分层的有价值生物标志物.
- 开发的基于PTDG的模型在预测患者结果方面表现强.
- 对PTDG的进一步研究可能会导致改善LUAD的诊断和治疗策略.
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