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miRNA 特征和综合组学分析定义了神经内分泌肿瘤患者的预后聚类和关键通路,从而驱动预后。

MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms.

机构信息

Centro de Oncología Experimental, Grupo de Investigación en Tumores Gastrointestinales y Neuroendocrinos, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain.

Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain.

出版信息

Mol Oncol. 2023 Apr;17(4):582-597. doi: 10.1002/1878-0261.13393. Epub 2023 Mar 5.

Abstract

Neuroendocrine neoplasms (NENs) are mutationally quiet (low number of mutations/Mb), and epigenetic mechanisms drive their development and progression. We aimed at comprehensively characterising the microRNA (miRNA) profile of NENs, and exploring downstream targets and their epigenetic modulation. In total, 84 cancer-related miRNAs were analysed in 85 NEN samples from lung and gastroenteropancreatic (GEP) origin, and their prognostic value was evaluated by univariate and multivariate models. Transcriptomics (N = 63) and methylomics (N = 30) were performed to predict miRNA target genes, signalling pathways and regulatory CpG sites. Findings were validated in The Cancer Genome Atlas cohorts and in NEN cell lines. We identified a signature of eight miRNAs that stratified patients in three prognostic groups (5-year survival of 80%, 66% and 36%). Expression of the eight-miRNA gene signature correlated with 71 target genes involved in PI3K-Akt and TNFα-NF-kB signalling. Of these, 28 were associated with survival and validated in silico and in vitro. Finally, we identified five CpG sites involved in the epigenetic regulation of these eight miRNAs. In brief, we identified an 8-miRNA signature able to predict survival of patients with GEP and lung NENs, and identified genes and regulatory mechanisms driving prognosis in NEN patients.

摘要

神经内分泌肿瘤(NENs)突变较少(每兆碱基突变数量少),表观遗传机制驱动其发展和进展。我们旨在全面描述 NENs 的 microRNA(miRNA)谱,并探索下游靶标及其表观遗传调节。总共分析了来自肺和胃肠胰腺(GEP)来源的 85 个 NEN 样本中的 84 种癌症相关 miRNA,并通过单变量和多变量模型评估其预后价值。进行了转录组学(N=63)和甲基组学(N=30)以预测 miRNA 靶基因、信号通路和调节性 CpG 位点。研究结果在癌症基因组图谱队列和 NEN 细胞系中得到了验证。我们确定了一个由八个 miRNA 组成的特征,可将患者分为三个预后组(5 年生存率为 80%、66%和 36%)。这八个 miRNA 基因特征的表达与涉及 PI3K-Akt 和 TNFα-NF-κB 信号的 71 个靶基因相关。其中 28 个与生存相关,并在体内和体外进行了验证。最后,我们确定了五个涉及这八个 miRNA 表观遗传调节的 CpG 位点。总之,我们确定了一个能够预测 GEP 和肺 NEN 患者生存的 8-miRNA 特征,并确定了驱动 NEN 患者预后的基因和调节机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7960/10061291/4acf0ad7a624/MOL2-17-582-g001.jpg

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