Therapeutic effect of hydrogen peroxide via altered expression of glutathione S-transferase and peroxiredoxin-2 in hepatocellular carcinoma

2020 ◽  
Vol 19 (3) ◽  
pp. 258-265
Author(s):  
Zehra Hashim ◽  
Amber Ilyas ◽  
Shamshad Zarina
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Alexander V. Peskin ◽  
Flavia C. Meotti ◽  
Kelsey M. Kean ◽  
Christoph Göbl ◽  
Albert Souza Peixoto ◽  
...  

Redox Biology ◽  
2021 ◽  
Vol 43 ◽  
pp. 101980
Author(s):  
Andree G. Pearson ◽  
Juliet M. Pullar ◽  
John Cook ◽  
Emma S. Spencer ◽  
Margreet CM. Vissers ◽  
...  

1994 ◽  
Vol 33 (S1) ◽  
pp. S74-S78 ◽  
Author(s):  
Takafumi Ichida ◽  
Masashi Kato ◽  
Akihito Hayakawa ◽  
Shinichi Ito ◽  
Shigeki Mori ◽  
...  

2014 ◽  
Vol 93 (5) ◽  
pp. 992-1009 ◽  
Author(s):  
Suyeon Kim ◽  
Ye-Ji Bang ◽  
Dukyun Kim ◽  
Jong Gyu Lim ◽  
Man Hwan Oh ◽  
...  

2018 ◽  
Vol 51 (1) ◽  
pp. 290-300 ◽  
Author(s):  
Chenxing Zhang ◽  
Chenyue Zhang ◽  
Jiamao Lin ◽  
Haiyong Wang

Background/Aims: An increasing number of studies have suggested that circular RNAs (circRNAs) have vital roles in carcinogenesis and tumor progression. However, the function of circRNAs in hepatocellular carcinoma (HCC) remains poorly characterized. Methods: We investigated the levels of circRNAs in patients with HCC to identify potential diagnostic biomarkers. We examined circRNA expression profiles in liver tumors and paired non-cancerous liver tissues from three HCC patients with cancer thrombus using a circRNA microarray. Bioinformatics analysis was performed to find circRNAs with significantly altered expression levels between tumors and their paired non-tumor tissues. We confirmed our initial findings by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Receiver operating characteristic (ROC) curves were also applied to identify a candidate circRNA with the optimal specificity and sensitivity. Finally, X-tile software was adopted to calculate the most efficient cut-off value for hsa_circ_0091579 expression. Results: Microarray analysis identified 20 unique circRNAs that were differentially expressed between tumor and non-tumor tissues (P < 0.05). The expression of these 20 circRNAs was verified by qRT-PCR. The expression of hsa_circ_16245-1 and hsa_circ_0091579 mRNA was consistent with their levels as tested by the microarray. The ROC curves showed that both hsa_circ_16245-1 and hsa_circ_0091579 had favorable specificity and sensitivity. We further confirmed that hsa_circ_0091579 was significantly upregulated in HCC and its high expression was intimately associated with a worse overall survival in patients with HCC. Conclusion: Hsa_circ_0091579 may play a critical role in HCC progression and serve as a potential biomarker for the prognosis of patients with HCC.


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