Alimentary Tract Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Skull Base Research Center, The Five Senses Health Institute, Iran University of Medical Sciences, Tehran, Iran.
BMC Med Genomics. 2022 Feb 18;15(1):30. doi: 10.1186/s12920-022-01174-3.
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy associated with a poor prognosis. High-throughput disease-related-gene expression data provide valuable information on gene interaction, which consequently lead to deeper insight about pathogenesis. The co-expression analysis is a common approach that is used to investigate gene interaction. However, such an approach solely is inadequate to reveal the complexity of the gene interaction. The three-way interaction model is known as a novel approach applied to decode the complex relationship between genes.
In the current study, the liquid association method was used to capture the statistically significant triplets involved in the PDAC pathogenesis. Subsequently, gene set enrichment and gene regulatory network analyses were performed to trace the biological relevance of the statistically significant triplets.
The results of the current study suggest that "response to estradiol" and "Regulation of T-cell proliferation" are two critical biological processes that may be associated with the PDAC pathogenesis. Additionally, we introduced six switch genes, namely Lamc2, Klk1, Nqo1, Aox1, Tspan1, and Cxcl12, which might be involved in PDAC triggering.
In the current study, for the first time, the critical genes and pathways involved in the PDAC pathogenesis were investigated using the three-way interaction approach. As a result, two critical biological processes, as well as six potential biomarkers, were suggested that might be involved in the PDAC triggering. Surprisingly, strong evidence for the biological relevance of our results can be found in the literature.
胰腺导管腺癌(PDAC)是一种致命的恶性肿瘤,预后不良。高通量疾病相关基因表达数据提供了关于基因相互作用的有价值信息,从而深入了解发病机制。共表达分析是一种常用的研究基因相互作用的方法。然而,这种方法本身不足以揭示基因相互作用的复杂性。三向相互作用模型是一种用于解码基因之间复杂关系的新方法。
在本研究中,使用液体关联方法捕获与 PDAC 发病机制相关的统计学显著三联体。随后,进行基因集富集和基因调控网络分析,以追踪统计学显著三联体的生物学相关性。
本研究的结果表明,“雌二醇反应”和“T 细胞增殖调节”是两个可能与 PDAC 发病机制相关的关键生物学过程。此外,我们引入了六个开关基因,即 Lamc2、Klk1、Nqo1、Aox1、Tspan1 和 Cxcl12,它们可能参与 PDAC 的触发。
在本研究中,首次使用三向相互作用方法研究了 PDAC 发病机制中涉及的关键基因和途径。结果表明,两个关键的生物学过程以及六个潜在的生物标志物可能与 PDAC 的触发有关。令人惊讶的是,我们的研究结果的生物学相关性在文献中得到了强有力的证据支持。