综合生物信息学分析的非编码RNAs与瘤免疫微环境在胃癌
Jun Xu1, Shengnan Hu1, Qiuli Chen2
1First People's Hospital of Hangzhou Lin'an District, Affiliated Lin'an People's Hospital, Hangzhou Medical College, Hangzhou, China.
Scientific reports
|September 11, 2023
概括
这项研究确定了胃癌中一种新的竞争性内源RNA (ceRNA) 网络,揭示了关键的长非编码RNA (lncRNA) 和影响患者生存的单细胞和中性粒细胞等免疫细胞,并可能有助于个性化治疗策略.
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:
- 胃癌研究侧重于分子和遗传因素,包括微RNA,长非编码RNA (lncRNA) 和信使RNA (mRNA).
- 了解lncRNA的作用对于开发个性化胃癌治疗和识别预后生物标志物至关重要.
研究的目的:
- 在胃癌中构建和分析竞争性内源RNA (ceRNA) 调控网络.
- 在这个网络中识别与预后相关的基因和免疫细胞,以改善胃癌的检测,治疗和监测.
主要方法:
- 利用了来自癌症基因组图谱 (TCGA) 数据库的RNA-seq和miRNA-seq数据.
- 使用edgeR进行了差异表达分析,使用Cytoscape构建了ceRNA网络,并进行了KEGG通路分析.
- 使用CIBERSORT进行免疫细胞分析和Kaplan-Meier/Cox分析以求生存相关性.
主要成果:
- 鉴定了980个差异表达的lncRNAs (774个上调,206个下调).
- 发现了15个与预后相关的基因,包括VCAN-AS1,SERPINE1和LINC00326,并发现了单细胞和中性细胞与胃癌存活率之间的关联.
- 开发了通过ROC和校准曲线验证的诺姆图.
结论:
- 为胃癌建立了一个新的ceRNA调节网络.
- 突出了特定的lncRNA和免疫细胞类型作为预后和治疗点的潜在生物标志物.
- 这些发现为推进胃癌诊断和个性化医学提供了洞察力.
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