Table_9_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）一直是致死率极高的癌症之一。与大多数癌症患者生存率稳步上升形成鲜明对比的是，胰腺癌患者的5年生存率仍然较低。方法：本研究描述了一种新的流程，通过识别与胰腺癌相关的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）中提取出来。进行了一项详尽的生存分析，以评估这些模块的预后价值。结果：我们鉴定出与胰腺癌相关的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胰腺癌高度相关。从CMGN中提取的miRNA-mRNA模块中，有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：本研究为胰腺癌的机制提供了新的见解。根据我们提出的流程，我们推断六个miRNA-mRNA模块可以作为胰腺癌潜在预后分子生物标志物。