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在三阴性乳腺癌中基于ceRNA网络的预后模型的开发

Yimin Zhu¹, Jiayu Wang², Binghe Xu²

¹Medical Oncology Department, Chinese People's Liberation Army General Hospital, Beijing, China.

|March 4, 2025

概括

使用循环RNA (circRNA) 和竞争性内源RNA (ceRNA) 网络的新预后模型有助于预测三阴性乳腺癌 (TNBC). 这项研究确定了关键基因和MAPK通路,为TNBC提供了潜在的生物标志物和治疗点.

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:

三阴性乳腺癌 (TNBC) 是一种具有攻击性的癌症亚型,治疗选择有限,预后不佳.
循环RNAs (circRNAs) 在TNBC进展中的作用尚不清楚,需要进一步研究.
开发有效的预后模型和确定治疗目标对于改善TNBC患者的治疗结果至关重要.

研究的目的:

为TNBC构建一个竞争的内源RNA (ceRNA) 网络,集成circRNAs,长非编码RNAs (lncRNAs),microRNAs (miRNAs) 和信使RNAs (mR NAs).
开发基于已识别的ceRNA网络的TNBC新型预后模型.
通过分析关键基因和调节途径来确定TNBC的潜在生物标志物和治疗点.

主要方法:

用GEO数据集进行了circRNAs,lncRNAs和mRNAs的差异表达分析.
建立了一个ceRNA网络,并使用癌症基因组图谱 (TCGA) 数据验证了关键基因.
采用多变量考克斯回归和基因组丰富分析 (GSEA) 来构建预后模型并确定途径.

主要成果:

开发了一种包括9个基因 (SH3BGRL2,CA12,LRP8,NAV3,GFRA1,DCDC2,CDC7,ABAT,NPTX1) 的预后模型,AUC为0.90.
通过模型识别的高风险患者的整体存活时间显著缩短 (P < 0.01).
线粒激活蛋白激酶 (MAPK) 信号通路被确定为一个关键的调节通路,具有特定的circRNAs影响基因表达.

结论:

通过使用ceRNA网络分析成功开发了TNBC的新型预后模型,突出了circRNAs的重要性.
这项研究强调了MAPK信号通路在TNBC进展中的关键作用.
已识别的基因和途径为改善TNBC预后和治疗提供了潜在的生物标志物和治疗点.

关键词:

地理地质组织 (GEO) 是指地理地质组织.没有编码的RNA.预测指数的预测指数在TCGA中,TCGA就是TCGA.三重阴性乳腺癌是什么网络 ceRNA 网络环绕RNAss 的时间.在ncRNA中,我们可以它们是mRNARNA.这是一个小RNARNA.

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