在Leuran胃癌亚型中对淋巴结转移的竞争性内源性RNA网络的表征
Tianyu Liang1, Minjun Cheng2, Ling Lu3
1Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Journal of cancer research and clinical oncology
|September 9, 2023
概括
这项研究揭示了胃癌中竞争的内源性RNA (ceRNA) 网络,确定了淋巴结转移的关键参与者. 开发了一种有效的预测模型,特别是对于肠道和扩散亚型.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 胃癌表现出显著的异质性,使治疗策略复杂化.
- 长非编码RNAs (lncRNAs) 作为竞争的内源RNAs (ceRNAs) 起作用,影响瘤的发展.
- 了解ceRNA网络对于破译胃癌的分子机制至关重要.
研究的目的:
- 为胃癌构建一个具有竞争力的内源RNA网络.
- 评估免疫细胞在胃癌进展中的作用.
- 开发一种用于胃癌中淋巴结转移的预测模型.
主要方法:
- 来自TCGA的胃癌患者数据在整体,肠道和扩散队列中进行了分析.
- 构建了具有竞争力的内源RNA (ceRNA) 网络,并使用CIBERSORTx.x评估了免疫细胞.
- 支持矢量机器递归特征消除 (SVM-RFE) 和支持矢量机器 (SVM) 用于签名选和模型构建.
主要成果:
- SVM模型在预测肠道和扩散胃癌队列的淋巴结转移方面表现良好.
- 在免疫细胞和ceRNA网络之间观察到显著的相关性,例如CD70与树突细胞.
- 成功建立了淋巴结转移的强大预测模型.
结论:
- 这项研究成功推断了与胃癌中淋巴结转移相关的ceRNA网络.
- 开发的预测模型显示了临床应用的前景,特别是在特定的胃癌亚型中.
- 鉴定免疫细胞和ceRNAs之间的相互作用,可以了解胃癌的发病过程.
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