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Full-Text Articles in Life Sciences
Integrated Analysis Of Competing Endogenous Rna Network Revealing Potential Prognostic Biomarkers Of Hepatocellular Carcinoma, Xiwen Liao, Xiangkun Wang, Ketuan Huang, Chuangye Han, Jianlong Deng, Tingdong Yu, Chengkun Yang, Rui Huang, Xiaoguang Liu, Long Yu, Guangzhi Zhu, Hao Su, Wei Qin, Xianmin Zeng, Bowen Han, Quanfa Han, Zhengqian Liu, Xin Zhou, Yizhen Gong, Zhengtao Liu, Jianlv Huang, Cheryl A. Winkler, Stephen J. O'Brien, Xinping Ye, Tao Peng
Integrated Analysis Of Competing Endogenous Rna Network Revealing Potential Prognostic Biomarkers Of Hepatocellular Carcinoma, Xiwen Liao, Xiangkun Wang, Ketuan Huang, Chuangye Han, Jianlong Deng, Tingdong Yu, Chengkun Yang, Rui Huang, Xiaoguang Liu, Long Yu, Guangzhi Zhu, Hao Su, Wei Qin, Xianmin Zeng, Bowen Han, Quanfa Han, Zhengqian Liu, Xin Zhou, Yizhen Gong, Zhengtao Liu, Jianlv Huang, Cheryl A. Winkler, Stephen J. O'Brien, Xinping Ye, Tao Peng
Biology Faculty Articles
Objective: The goal of our study is to identify a competing endogenous RNA (ceRNA) network using dysregulated RNAs between HCC tumors and the adjacent normal liver tissues from The Cancer Genome Atlas (TCGA) datasets, and to investigate underlying prognostic indicators in hepatocellular carcinoma (HCC) patients. Methods: All of the RNA- and miRNA-sequencing datasets of HCC were obtained from TCGA, and dysregulated RNAs between HCC tumors and the adjacent normal liver tissues were investigated by DESeq and edgeR algorithm. Survival analysis was used to confirm underlying prognostic indicators. Results: In the present study, we constructed a ceRNA network based on 16 …