A universal co-expression gene network and prognostic model for hepatic-biliary-pancreatic cancers identified by integrative analyses

被引:5
作者
Zhang, Jing [1 ]
Xiao, Juan [2 ]
Wang, Yixuan [1 ]
Zheng, Xiao [1 ]
Cui, Jiajun [1 ]
Wang, Chaochen [1 ]
机构
[1] Zhejiang Univ, Sch Med, Zhejiang Univ Univ Edinburgh Inst ZJU UoE Inst, Int Campus, Haining 314400, Zhejiang, Peoples R China
[2] Guilin Med Univ, Affiliated Hosp, Guangxi Key Lab Mol Med Liver Injury & Repair, Guilin, Peoples R China
来源
FEBS OPEN BIO | 2022年 / 12卷 / 11期
关键词
cholangiocarcinoma; hepatocellular carcinoma; pancreatic adenocarcinoma; prognosis; training cohort; validation cohort; LUNG-CANCER; BIOMARKERS;
D O I
10.1002/2211-5463.13478
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Hepatic, biliary and pancreatic cancers are a diverse set of malignancies with poor prognoses. It is possible that common molecular mechanisms are involved in the carcinogenesis of these cancers. Here, we identified LINC01537 and seven protein-coding genes by integrative analysis of transcriptomes of mRNAs, microRNAs and long non-coding RNAs from cholangiocarcinoma, hepatocellular carcinoma and pancreatic adenocarcinoma cohorts in TCGA. A predictive model constructed from seven biomarkers was established to successfully predict the survival rate of patients, which was then further verified in external cohorts. Additionally, patients with high-risk scores in our model were prone to epithelial-mesenchymal transition. Finally, activation of the biomarker PDE2A significantly attenuated migration and epithelial-mesenchymal transition in the HepG2 liver cancer cell line.
引用
收藏
页码:2006 / 2024
页数:19
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