Jayarathna Dulari K, Rentería Miguel E, Sauret Emilie, Batra Jyotsna, Gandhi Neha S
Centre for Genomics and Personalised Health, School of Chemistry and Physics, Queensland University of Technology, Brisbane, QLD 4000, Australia.
Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
Biology (Basel). 2021 Oct 9;10(10):1014. doi: 10.3390/biology10101014.
The discovery of microRNAs (miRNAs) has fundamentally transformed our understanding of gene regulation. The competing endogenous RNA (ceRNA) hypothesis postulates that messenger RNAs and other RNA transcripts, such as long non-coding RNAs and pseudogenes, can act as natural miRNA sponges. These RNAs influence each other's expression levels by competing for the same pool of miRNAs through miRNA response elements on their target transcripts, thereby modulating gene expression and protein activity. In recent years, these ceRNA regulatory networks have gained considerable attention in cancer research. Several studies have identified cancer-specific ceRNA networks. Nevertheless, prior bioinformatic analyses have focused on long-non-coding RNA-associated ceRNA networks. Here, we identify an extended ceRNA network (including both long non-coding RNAs and pseudogenes) shared across a group of five hormone-dependent (HD) cancers, i.e., prostate, breast, colon, rectal, and endometrial cancers, using data from The Cancer Genome Atlas (TCGA). We performed a functional enrichment analysis for differentially expressed genes in the shared ceRNA network of HD cancers, followed by a survival analysis to determine their prognostic ability. We identified two long non-coding RNAs, nine genes, and seventy-four miRNAs in the shared ceRNA network across five HD cancers. Among them, two genes and forty-one miRNAs were associated with at least one HD cancer survival. This study is the first to investigate pseudogene-associated ceRNAs across a group of related cancers and highlights the value of this approach to understanding the shared molecular pathogenesis in a group of related diseases.
微小RNA(miRNA)的发现从根本上改变了我们对基因调控的理解。竞争性内源RNA(ceRNA)假说假定信使RNA和其他RNA转录本,如长链非编码RNA和假基因,可以作为天然的miRNA海绵。这些RNA通过其靶转录本上的miRNA反应元件竞争同一组miRNA,从而影响彼此的表达水平,进而调节基因表达和蛋白质活性。近年来,这些ceRNA调控网络在癌症研究中受到了广泛关注。多项研究已经确定了癌症特异性的ceRNA网络。然而,先前的生物信息学分析主要集中在与长链非编码RNA相关的ceRNA网络上。在此,我们利用来自癌症基因组图谱(TCGA)的数据,确定了一组五种激素依赖性(HD)癌症(即前列腺癌、乳腺癌、结肠癌、直肠癌和子宫内膜癌)共有的扩展ceRNA网络(包括长链非编码RNA和假基因)。我们对HD癌症共享ceRNA网络中差异表达的基因进行了功能富集分析,随后进行了生存分析以确定它们的预后能力。我们在五种HD癌症的共享ceRNA网络中鉴定出两个长链非编码RNA、九个基因和74个miRNA。其中,两个基因和41个miRNA与至少一种HD癌症的生存相关。本研究首次在一组相关癌症中研究了与假基因相关的ceRNA,并突出了这种方法在理解一组相关疾病共享分子发病机制方面的价值。