A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma.
A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma.
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一种贝叶斯两步综合程序，结合先前知识，用于鉴定与肝细胞癌有关的mirna - mrna。
DOI：
10.1109/embc48229.2022.9871330
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发表时间：
2022-07
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最近的研究证实了miRNA对基因表达的调节在各种癌症的发生中的作用。同时，关于miRNA和mRNA之间关系的先验知识已经从生物学实验或统计分析中积累起来。通过将先验知识结合到综合基因组分析中，可以改进与疾病相关的miRNA-mRNA对的识别。在本研究中，我们以39例肝细胞癌患者和25例肝硬化患者为研究对象，采用灵活的贝叶斯两步综合方法。我们发现了66对重要的miRNA-mRNA，其中几对含有以前被确定为潜在的重要生物标志物的分子。这些结果表明，所提出的方法在更好地了解不同生物水平之间的关系，从而深入了解疾病的生物学机制，同时提供更好的生物标记物的选择，可以作为诊断，预后或治疗性生物标记物候选。
Recent studies have confirmed the role of miRNA regulation of gene expression in oncogenesis for various cancers. In parallel, prior knowledge about relationships between miRNA and mRNA have been accumulated from biological experiments or statistical analyses. Improved identification of disease-associated miRNA-mRNA pairs may be achieved by incorporating prior knowledge into integrative genomic analyses. In this study we focus on 39 patients with hepatocellular carcinoma (HCC) and 25 patients with liver cirrhosis and use a flexible Bayesian two-step integrative method. We found 66 significant miRNA-mRNA pairs, several of which contain molecules that have previously been identified as potential important biomarkers. These results demonstrate the utility of the proposed approach in providing a better understanding of relationships between different biological levels, thereby giving insights into the biological mechanisms underlying the diseases, while providing a better selection of biomarkers that may serve as diagnostic, prognostic, or therapeutic biomarker candidates.