Table_1_MiRNA-Mediated Subpathway Identification and Network Module Analysis to Reveal Prognostic Markers in Human Pancreatic Cancer.XLSX

BackgroundPancreatic cancer (PC) remains one of the most lethal cancers. In contrast to the steady increase in survival for most cancers, the 5-year survival remains low for PC patients.MethodsWe describe a new pipeline that can be used to identify prognostic molecular biomarkers by identifying miRNA-mediated subpathways associated with PC. These modules were then further extracted from a comprehensive miRNA-gene network (CMGN). An exhaustive survival analysis was performed to estimate the prognostic value of these modules.ResultsWe identified 105 miRNA-mediated subpathways associated with PC. Two subpathways within the MAPK signaling and cell cycle pathways were found to be highly related to PC. Of the miRNA-mRNA modules extracted from CMGN, six modules showed good prognostic performance in both independent validated datasets.ConclusionsOur study provides novel insight into the mechanisms of PC. We inferred that six miRNA-mRNA modules could serve as potential prognostic molecular biomarkers in PC based on the pipeline we proposed.

背景：胰腺癌（PC）仍是致死率极高的癌症之一。与其他癌症生存率的稳步上升形成鲜明对比的是，PC患者的5年生存率依然较低。方法：我们描述了一种新型管道，该管道可以通过识别与PC相关的miRNA介导的亚通路来鉴定预后分子生物标志物。然后，这些模块从全面的miRNA-基因网络（CMGN）中进一步提取。进行了详尽的生存分析，以估计这些模块的预后价值。结果：我们鉴定出与PC相关的105个miRNA介导的亚通路。在MAPK信号通路和细胞周期通路中，发现了两个亚通路与PC高度相关。从CMGN中提取的miRNA-mRNA模块中，六个模块在独立的验证数据集中均表现出良好的预后性能。结论：我们的研究对PC的机制提供了新的见解。基于我们所提出的管道，我们推断六个miRNA-mRNA模块可作为PC潜在的预后分子生物标志物。