Iron metabolism gene expression and prognostic features of hepatocellular carcinoma

2018 ◽  
Vol 119 (11) ◽  
pp. 9178-9204 ◽  
Author(s):  
Ying Shen ◽  
Xin Li ◽  
Bin Zhao ◽  
Yanru Xue ◽  
Shenghang Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Iron Metabolism ◽  
Prognostic Features ◽  
Metabolism Gene

Iron metabolism gene expression in human skeletal muscle

2010 ◽  
Vol 45 (3) ◽  
pp. 233-237 ◽  
Author(s):  
Aikaterini Polonifi ◽  
Marianna Politou ◽  
Vasiliki Kalotychou ◽  
Konstantinos Xiromeritis ◽  
Maria Tsironi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Iron Metabolism ◽  
Human Skeletal Muscle ◽  
Metabolism Gene

scholarly journals * Host iron metabolism gene expression in ins-gas mouse model of helicobacter infection

Gut ◽  
2011 ◽  
Vol 60 (Suppl 1) ◽  
pp. A107-A107
Author(s):  
M. J. Thomson ◽  
D. M. Pritchard ◽  
S. A. Boxall ◽  
A. Varro ◽  
J. E. Crabtree
Keyword(s):  
Gene Expression ◽  
Mouse Model ◽  
Iron Metabolism ◽  
Metabolism Gene

Light-Induced Retinal Degeneration Correlates with Changes in Iron Metabolism Gene Expression, Ferritin Level, and Aging

2011 ◽  
Vol 52 (3) ◽  
pp. 1261 ◽  
Author(s):  
Emilie Picard ◽  
Isabelle Ranchon-Cole ◽  
Laurent Jonet ◽  
Carole Beaumont ◽  
Francine Behar-Cohen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Retinal Degeneration ◽  
Iron Metabolism ◽  
Ferritin Level ◽  
Metabolism Gene

Hepatic iron metabolism gene expression profiles in HFE associated Hereditary Hemochromatosis

2007 ◽  
Vol 38 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Ferga Gleeson ◽  
Eleanor Ryan ◽  
Sharon Barrett ◽  
Jennifer Russell ◽  
John Crowe
Keyword(s):  
Gene Expression ◽  
Iron Metabolism ◽  
Expression Profiles ◽  
Hereditary Hemochromatosis ◽  
Gene Expression Profiles ◽  
Hepatic Iron ◽  
Metabolism Gene

Hepatocellular carcinoma: Gene expression profiling and regulation of xenobiotic-metabolizing cytochromes P450

2020 ◽  
Vol 177 ◽  
pp. 113912 ◽  
Author(s):  
Jana Nekvindova ◽  
Alena Mrkvicova ◽  
Veronika Zubanova ◽  
Alena Hyrslova Vaculova ◽  
Pavel Anzenbacher ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Cytochromes P450

scholarly journals Identification of glycolysis related pathways in pancreatic adenocarcinoma and liver hepatocellular carcinoma based on TCGA and GEO datasets

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ji Li ◽  
Chen Zhu ◽  
Peipei Yue ◽  
Tianyu Zheng ◽  
Yan Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Energy Metabolism ◽  
Pancreatic Adenocarcinoma ◽  
Digestive System ◽  
Prognostic Significance ◽  
R Package ◽  
The Cancer Genome Atlas ◽  
System Structure ◽  
Liver Hepatocellular Carcinoma

Abstract Background Abnormal energy metabolism is one of the characteristics of tumor cells, and it is also a research hotspot in recent years. Due to the complexity of digestive system structure, the frequency of tumor is relatively high. We aim to clarify the prognostic significance of energy metabolism in digestive system tumors and the underlying mechanisms. Methods Gene set variance analysis (GSVA) R package was used to establish the metabolic score, and the score was used to represent the metabolic level. The relationship between the metabolism and prognosis of digestive system tumors was explored using the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Volcano plots and gene ontology (GO) analyze were used to show different genes and different functions enriched between different glycolysis levels, and GSEA was used to analyze the pathway enrichment. Nomogram was constructed by R package based on gene characteristics and clinical parameters. qPCR and Western Blot were applied to analyze gene expression. All statistical analyses were conducted using SPSS, GraphPad Prism 7, and R software. All validated experiments were performed three times independently. Results High glycolysis metabolism score was significantly associated with poor prognosis in pancreatic adenocarcinoma (PAAD) and liver hepatocellular carcinoma (LIHC). The STAT3 (signal transducer and activator of transcription 3) and YAP1 (Yes1-associated transcriptional regulator) pathways were the most critical signaling pathways in glycolysis modulation in PAAD and LIHC, respectively. Interestingly, elevated glycolysis levels could also enhance STAT3 and YAP1 activity in PAAD and LIHC cells, respectively, forming a positive feedback loop. Conclusions Our results may provide new insights into the indispensable role of glycolysis metabolism in digestive system tumors and guide the direction of future metabolism–signaling target combined therapy.

scholarly journals CircFAM13B promotes the proliferation of hepatocellular carcinoma by sponging miR-212, upregulating E2F5 expression and activating the P53 pathway

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ying Xie ◽  
Xiaofeng Hang ◽  
Wensheng Xu ◽  
Jing Gu ◽  
Yuanjing Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
In Vivo Studies ◽  
Circular Rnas ◽  
Novel Target ◽  
Underlying Mechanisms

Abstract Background Most of the biological functions of circular RNAs (circRNAs) and the potential underlying mechanisms in hepatocellular carcinoma (HCC) have not yet been discovered. Methods In this study, using circRNA expression data from HCC tumor tissues and adjacent tissues from the Gene Expression Omnibus database, we identified out differentially expressed circRNAs and verified them by qRT-PCT. Functional experiments were performed to evaluate the effects of circFAM13B in HCC in vitro and in vivo. Results We found that circFAM13B was the most significantly differentially expressed circRNA in HCC tissue. Subsequently, in vitro and in vivo studies also demonstrated that circFAM13B promoted the proliferation of HCC. Further studies revealed that circFAM13B, a sponge of miR-212, is involved in the regulation of E2F5 gene expression by competitively binding to miR-212, inhibits the activation of the P53 signalling pathway, and promotes the proliferation of HCC cells. Conclusions Our findings revealed the mechanism underlying the regulatory role played by circFAM13B, miR-212 and E2F5 in HCC. This study provides a new theoretical basis and novel target for the clinical prevention and treatment of HCC.

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.

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