临床相关的免疫亚型基于肺癌免疫相关基因的替代拼接景观,先进的PPPM方法
Na Li1, Wenshuang Jia1, Jiahong Wang2
1Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, Shandong 250117 People's Republic of China.
The EPMA journal
|June 6, 2024
概括
这项研究确定了肺癌中与免疫相关的基因替代拼接 (AS) 事件. 这些发现为肺腺癌和肺状细胞癌建立了预后模型,有助于个性化医疗.
科学领域:
- 基因组学和生物信息学
- 癌症生物学 癌症生物学
- 分子瘤学分子瘤学
背景情况:
- 替代拼接 (AS) 对于蛋白质合成和功能至关重要,改变的模式会影响肺癌的发展.
- 免疫相关基因 (IRG) AS事件与瘤进展和免疫疗法的有效性有关.
- 在肺癌中研究IRG-AS支持预测,预防和个性化医学 (PPPM).
研究的目的:
- 在肺腺癌 (LUAD) 和肺状细胞癌 (LUSC) 中识别和分析免疫相关基因 (IRG-DEAS) 中差异表达的AS事件.
- 建立基于与操作系统相关的IRG-DEAS事件的预后模型,用于LUAD和LUSC.
- 探索IRG-DEAS签名,瘤免疫微环境和临床特征之间的关系.
主要方法:
- 分析了来自TCGA和SpliceSeq的转录组,临床和AS数据.
- 拉索回归被用来构建总生存期 (OS) 的预后模型.
- 研究了免疫细胞分布,基因组丰富分析 (GSEA) 和拼接因子网络.
主要成果:
- 在LUAD中确定了1607次IRG-AS事件,在LUSC中确定了1656次IRG-AS事件,分别有14次和16次与OS相关的IRG-DEAS事件.
- 开发了分别为LUAD和LUSC的12和11基因预后模型,有效地分层患者.
- 确定了OS相关的亚型和免疫亚型,突出了CELF6作为与恶性瘤相关的关键拼接因子.
结论:
- 建立了可靠的IRG-DEAS签名预测模型,用于LUAD和LUSC.
- 为临床应用而构建的拼接因子-AS事件网络.
- 这些模型有助于患者分层,预后预测和个性化医疗策略.
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