Identification of the critical genes and miRNAs in hepatocellular carcinoma by integrated bioinformatics analysis

2022 ◽  
Vol 39 (2) ◽  
Author(s):  
Jun Wang ◽  
Chuyan Wang ◽  
Liuqing Yang ◽  
Kexin Li
Keyword(s):  
Hepatocellular Carcinoma ◽  
Bioinformatics Analysis

scholarly journals Distinct diagnostic and prognostic values of Glypicans gene expression in patients with hepatocellular carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jian-Yao Wang ◽  
Xiang-Kun Wang ◽  
Guang-Zhi Zhu ◽  
Xin Zhou ◽  
Jun Yao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Tumor Tissue ◽  
Bioinformatics Analysis ◽  
Mrna Level ◽  
Normal Liver ◽  
Predictive Index ◽  
Expression Levels ◽  
Interactive Analysis ◽  
Diagnostic Values

Abstract Backgroud In our current work, we aimed to investigate the expressions of glypican (GPC) family genes at the mRNA level and assess their prognostic significances in patients with hepatocellular carcinoma (HCC). Methods The pathological roles of GPC family genes were examined using bioinformatics analysis. The diagnostic values of GPC genes were explored with the Gene Expression Profiling Interactive Analysis. Moreover, the mRNA expression and prognostic values of GPC genes were assessed via the KM plotter database. Results Our data showed that the expression of GPC-3 was dramatically increased in the liver tumor tissue. Moreover, the expressions of the other five GPC family members were not significantly different between the tumor and normal liver tissues (P > 0.05). Furthermore, the up-regulation of GPC-1 at the mRNA level was dramatically correlated to the reduced overall survival (OS) for all HCC patients (hazard ratio = 2.03, 95% confidence intervals =1.44–2.87, P = 4.1e-05) compared with its low-expression group. Besides, the prognosis of the Caucasians was related to most GPC family genes, while the prognosis of the Asian race was only related to the expression of GPC-2. Besides, for pathological factors, including stage, grade, AJCC, and vascular invasion, the higher the pathological grade and vascular invasiveness, the lower the expression levels of GPC family genes (P < 0.05). Finally, the expression levels of GPC-1, 2, and 3 in the hepatitis group were related to the poor prognosis of HCC in the risk factor (alcohol consumption and hepatitis) subgroup (P < 0.05). Conclusions Our findings indicated that GPC-3 was dysregulated in HCC compared with paracancerous tissues. The expression of GPC-1 could be used as a potent predictive index for the general prognosis of HCC. The pathology, patients, and risk factors might affect the prognostic value of GPC family genes in HCC.

scholarly journals LncRNA-SNHG6 promotes the progression of hepatocellular carcinoma by targeting miR-6509-5p and HIF1A

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoxi Fan ◽  
Zhongwei Zhao ◽  
Jingjing Song ◽  
Dengke Zhang ◽  
Fazong Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Growth ◽  
Bioinformatics Analysis ◽  
Carcinoma Cell ◽  
Noncoding Rnas ◽  
Migration And Invasion ◽  
Carcinoma Cell Lines ◽  
Huh7 Cells ◽  
Hepatocellular Carcinoma Cell

Abstract Background Accumulating evidences have been reported that long noncoding RNAs play crucial roles in the progression of hepatocellular carcinoma (HCC). SnoRNA host gene 6 (SNHG6) is believed to be involved in several human cancers, but the specific molecular mechanism of SNHG6 in HCC is not well studied. Methods In this study, we experimentally down-regulated the SNHG6 in two hepatocellular carcinoma cell lines in vitro, and then measured the proliferation, migration and invasion abilities and the apoptotic levels. Also, we performed the xenograft assay to investigate the function of SNHG6 during the tumor growth in vivo. Results We found SNHG6 was highly expressed in HCC tissues. Next, using Hep3B and Huh7 cells, we confirmed knockdown of SNHG6 reduced the proliferation, migration and invasion abilities in vitro. Also, by bioinformatics analysis, further molecular and cellular experiments, we found miR-6509-5p bound to SNHG6 directly, and the expression level of HIF1A was regulated through SNHG6/miR-6509-5p axis. Finally, we found that down-regulation of SNHG6 dramatically reduced the tumor growth ability of Huh7 cells in vivo. Conclusions We concluded that SNHG6/miR-6509-5p/HIF1A axis functioned in the progression of hepatocellular carcinoma, and could be the promising therapeutic targets during the development of hepatocellular carcinoma drugs.

Bioinformatics Analysis of The Expression of ATP Binding Cassette Transporters and The Screening of Regulatory Genes in PTEN/PI3K/Akt/mTOR Signaling Pathway in The Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Tingdan Zheng ◽  
Wuqi Song ◽  
Aiying Yang
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Bioinformatics Analysis ◽  
Wilcoxon Test ◽  
Rank Test ◽  
Short Term ◽  
Term Survival ◽  
Log Rank Test ◽  
Short Term Survival

Abstract Objective Here we performed the Bioinformatics analysis on the data from The Cancer Genome Atlas (TCGA), in order to find the correlation between the expression of ATP Binding Cassette (ABC) Transporters’ genes and hepatocellular carcinoma (HCC) prognosis; Methods Transcriptome profiles and clinical data of HCC were obtained from TCGA database. Package edgeR was used to analyze differential gene expression. Patients were divided into low-ABC expression and high-ABC expression groups based on the median expression level of ABC genes in cancer. The overall survival and short-term survival (n= 341) of the two groups was analyzed using the log-rank test and Wilcoxon test; Results We found that ABC gene expression was correlated with the expression of PIK3C2B (p<0.001, ABCC1: r=0.27; ABCC10: r=0.57; ABCC4: r=0.20; ABCC5: r=0.28; ABCB9: r=0.17; ABCD1: r=0.21). All patients with low-ABC expression showed significantly increased overall survival. Significantly decreased overall survival (Log-rank test: p<0.05, Wilcoxon test: p<0.05) was found in patients with high expression of ABCC1 (HR=1.58), ABCD1 (HR=1.45), ABCC4 (HR=1.56), and ABCC5 (HR=1.64), while decreased short-term survival (Log-rank test: p>0.05, Wilcoxon test: p<0.05) was correlated with the increased expression of ABCC10 (HR=1.29), PIK3C2B (HR=1.29) and ABCB9 (HR=1.23); Conclusions Our findings indicate that the specific ABC gene expression correlates with the prognosis of HCC. Therefore, ABC expression profile could be a potential indicator for HCC patients.

scholarly journals Integrative bioinformatics analysis identifies ROBO1 as a potential therapeutic target modified by miR-218 in hepatocellular carcinoma

Oncotarget ◽  
2017 ◽  
Vol 8 (37) ◽  
pp. 61327-61337 ◽  
Author(s):  
Junqing Wang ◽  
Yunyun Zhou ◽  
Xiaochun Fei ◽  
Xunhua Chen ◽  
Rui Chen ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Therapeutic Target ◽  
Bioinformatics Analysis ◽  
Potential Therapeutic Target

scholarly journals Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma

Oncotarget ◽  
2017 ◽  
Vol 8 (56) ◽  
pp. 95799-95809 ◽  
Author(s):  
Meiyu Dai ◽  
Siyuan Chen ◽  
Xiaomou Wei ◽  
Xuan Zhu ◽  
Fang Lan ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Bioinformatics Analysis

scholarly journals Bioinformatics Analysis and RNA-Sequencing of SCAMP3 Expression and Correlated Gene Regulation in Hepatocellular Carcinoma

2020 ◽  
Vol Volume 13 ◽  
pp. 1047-1057
Author(s):  
Shan-shan Han ◽  
Zhi-qiang Feng ◽  
Rui Liu ◽  
Jun Ye ◽  
Wei-wei Cheng ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Gene Regulation ◽  
Rna Sequencing ◽  
Bioinformatics Analysis

scholarly journals The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data

2017 ◽  
Vol 34 (6) ◽  
Author(s):  
Chaoyang Zhang ◽  
Li Peng ◽  
Yaqin Zhang ◽  
Zhaoyang Liu ◽  
Wenling Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Throughput ◽  
Bioinformatics Analysis ◽  
High Throughput Data ◽  
Key Genes

scholarly journals Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis

2018 ◽  
Vol Volume 11 ◽  
pp. 1861-1869 ◽  
Author(s):  
Lei Zhou ◽  
Yanyan Du ◽  
Lingqun Kong ◽  
Xingyuan Zhang ◽  
Qiangpu Chen
Keyword(s):  
Hepatocellular Carcinoma ◽  
Target Genes ◽  
Bioinformatics Analysis ◽  
Molecular Target ◽  
Key Pathways
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