|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
The prognostic values of hub genes in HCC patients were analyzed using The Cancer Genome Atlas (TCGA) database.
|
31746405 |
2020 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Hub genes including CDC20, AURKB, BIRC5, RRM2, MCM2, PTTG1, CDKN2A, NEK2, CENPF, RACGAP1, GNA14 and especially the new gene CDCA5 may serve as biomarkers for diagnosis, treatment and prognosis of HCC.
|
30719129 |
2019 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
By utilizing WGCNA, several hub genes that regulate the mechanism of tumorigenesis in HCC were identified, which was associated with clinical traits including the pathological stage, histological grade, and liver function.
|
30746803 |
2019 |
|
Liver carcinoma
|
0.100 |
AlteredExpression
|
disease |
BEFREE |
However, the specific occurrence and development of HCC with expression of the hub genes should be verified in vivo and <i>in vitro</i>.
|
31822116 |
2019 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Bioinformatics analysis revealed hub genes and pathways involved in sorafenib resistance in hepatocellular carcinoma.
|
31698564 |
2019 |
|
Liver carcinoma
|
0.100 |
AlteredExpression
|
disease |
BEFREE |
Finally, hub genes were identified, and the cBioPortal online platform was used to analyze the association between the expression of hub genes and prognosis in HCC.
|
31392101 |
2019 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Hub genes were identified and further investigated for prognostic value in HCC patients.
|
30628708 |
2019 |
|
Liver carcinoma
|
0.100 |
AlteredExpression
|
disease |
BEFREE |
In the present study, tissue samples from normal liver, cirrhosis and HCC were subjected to differentially gene expression analysis, weighted gene correlation network analysis to identify the twenty hub genes (TOP2A, CDC20, PTTG1, CDCA5, CCNB2, PRC1, KIF20A, SF3B4, HSP90AB1, FOXD2, PLOD3, CCT3, SETDB1, VPS45, SPDL1, RACGAP1, MED24, KIAA0101, ZNF282, and USP21) in the pathological progression from cirrhosis to HCC.
|
31811111 |
2019 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Identification of cancer/testis antigen 2 gene as a potential hepatocellular carcinoma therapeutic target by hub gene screening with topological analysis.
|
31611988 |
2019 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma.
|
31754223 |
2019 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Pathway analysis suggested that putative target genes of these essential miRNAs were involved in HCC-associated signaling pathways, such as Wnt, TGF-β, and Ras; whereas protein-protein network (PPI) analysis demonstrated that some validated target genes of these miRNAs, such as PIK3CA, AKT1, MYC, JUN, SMAD4, and SRC, were hub target genes as they have more counts of interacting protein.
|
31293639 |
2019 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
To explore the stepwise carcinogenic process from pre-neoplastic lesions to the end stage of HCC, we employed weighted gene co-expression network analysis (WGCNA) which has been proved to be an effective method in many diseases to detect co-expressed modules and hub genes using eight pathological stages including normal, cirrhosis without HCC, cirrhosis, low-grade dysplastic, high-grade dysplastic, very early and early, advanced HCC and very advanced HCC.
|
29443924 |
2018 |
|
Liver carcinoma
|
0.100 |
Biomarker
|
disease |
BEFREE |
Hub genes, including <i>PTGS2</i>, <i>PIK3CD</i>, <i>CXCL1</i>, <i>ESR1</i>, <i>MMP2</i>, <i>CDC45</i>, <i>DTL</i>, <i>AURKB</i>, <i>CDKN3</i>, <i>MCM2</i>, and <i>MCM10</i>, can be used as biomarkers based on aberrant methylation for the accurate diagnosis and treatment of HCC.
|
29962817 |
2018 |
|
Liver carcinoma
|
0.100 |
GeneticVariation
|
disease |
BEFREE |
The aim of this study was to identify underlying hub genes and dysregulated pathways associated with the development of HCC using bioinformatics analysis.
|
28947976 |
2017 |