2022
DOI: 10.3389/fphar.2022.968148
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Investigations of nitazoxanide molecular targets and pathways for the treatment of hepatocellular carcinoma using network pharmacology and molecular docking

Abstract: Nitazoxanide has been investigated for colorectal cancer and breast cancer. However, its molecular targets and pathways have not yet been explored for hepatocellular carcinoma (HCC) treatment. Utilizing a network pharmacology approach, nitazoxanide’s potential targets and molecular pathways for HCC treatment were investigated. HCC targets were extracted from the GeneCards database. Potential targets of nitazoxanide were predicted using Swiss Target Prediction and Super Pred. Intersecting targets were analyzed … Show more

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Cited by 8 publications
(6 citation statements)
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“…They are recognized as key active phytonutrients. The network findings also revealed a synergistic/combined effect of multiple anti-COVID-19 core targets and multiple key active phytonutrients in the Meliae cortex in alleviating COVID-19 pathology ( 6 , 57 ).…”
Section: Discussionmentioning
confidence: 91%
“…They are recognized as key active phytonutrients. The network findings also revealed a synergistic/combined effect of multiple anti-COVID-19 core targets and multiple key active phytonutrients in the Meliae cortex in alleviating COVID-19 pathology ( 6 , 57 ).…”
Section: Discussionmentioning
confidence: 91%
“…For example, NTZ was identified as an MYC inhibitor in breast cancer cells using an HTS screening system [ 60 ]; NTZ could act as a moderate inhibitor of the STAT3 pathway [ 61 ]; inhibition of the Wnt signaling activity by NTZ could be independent of APC but involves PAD2 targeting and subsequent increase in the deamination and turnover of β-catenin in colon cancer cells [ 62 ]. Bioinformatic analyses suggest that in HCC cells, NTZ could target many molecules, biological processes, and signaling pathways [ 63 ]. Induction of cell death by NTZ and some of its derivatives also involves targeting the 20S proteasome [ 64 ].…”
Section: Discussionmentioning
confidence: 99%
“…Molecular complex detection (MCODE) is applied to identify the characteristics of closely connected networks and further screened the core target community. The setting parameters are as follows: find clusters = in the whole network, degree cutoff = 2, node score cutoff = 0.2, K-score = 0.2, max depth = 100 ( Khan and Lee, 2022 ).…”
Section: Methodsmentioning
confidence: 99%