Table_2_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）始终位居最致命癌症之列。与大多数癌症生存率稳步上升的趋势相反，PC患者的5年生存率依然较低。方法：本研究描述了一种新型流程，该流程可通过识别与PC相关的miRNA介导的亚通路来鉴定预后分子生物标志物。这些模块随后从全面的miRNA-基因网络（CMGN）中进一步提取。进行了详尽的生存分析，以评估这些模块的预后价值。结果：我们鉴定出105个与PC相关的miRNA介导的亚通路。在MAPK信号传导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，六个模块在独立验证数据集中均显示出良好的预后性能。结论：本研究对PC的发病机制提供了新的见解。基于我们所提出的流程，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。