微小RNA介导的子通路鉴定及网络模块分析以揭示人类胰腺癌的预后标志物
MiRNA-Mediated Subpathway Identification and Network Module Analysis to Reveal Prognostic Markers in Human Pancreatic Cancer.
作者信息
Liu Yuejuan, Cui Yuxia, Bai Xuefeng, Feng Chenchen, Li Meng, Han Xiaole, Ai Bo, Zhang Jian, Li Xuecang, Han Junwei, Zhu Jiang, Jiang Yong, Pan Qi, Wang Fan, Xu Mingcong, Li Chunquan, Wang Qiuyu
机构信息
School of Medical Informatics, Harbin Medical University, Daqing, China.
School of Nursing, Harbin Medical University, Daqing, China.
出版信息
Front Genet. 2020 Dec 9;11:606940. doi: 10.3389/fgene.2020.606940. eCollection 2020.
BACKGROUND
Pancreatic 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.
METHODS
We 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.
RESULTS
We 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.
CONCLUSIONS
Our 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）仍然是最致命的癌症之一。与大多数癌症生存率稳步提高形成对比的是，PC患者的5年生存率仍然很低。
方法
我们描述了一种新的流程，可通过识别与PC相关的miRNA介导的子通路来鉴定预后分子生物标志物。然后从一个全面的miRNA-基因网络（CMGN）中进一步提取这些模块。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条与PC相关的miRNA介导的子通路。发现丝裂原活化蛋白激酶（MAPK）信号通路和细胞周期通路中的两条子通路与PC高度相关。从CMGN中提取的miRNA-mRNA模块中，有六个模块在两个独立的验证数据集中均显示出良好的预后性能。
结论
我们的研究为PC的发病机制提供了新的见解。基于我们提出的流程，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。
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