A Systematic Review of Molecular Pathway Analysis of Drugs for Potential Use in Liver Cancer Treatment

Liver cancer is a high mortality cancer, and its increasing prevalence is a concern worldwide. Current treatment modalities for liver cancer include chemotherapy and immunotherapy. These therapies provide symptomatic relief and help prolong the lives of patients but are not an absolute cure. In this...

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Bibliographic Details
Main Authors: Ruchi Jakhmola Mani, Mridul Anand, Kritie Agarwal, Avi Tiwari, Qazi Amanur Rahman Hashmi, Tumul Vikram Singh, Potshangbam Nongdam, Deepshikha Pande Katare, Angamba Meetei Potshangabam
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Drugs and Drug Candidates
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Online Access:https://www.mdpi.com/2813-2998/2/2/13
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Summary:Liver cancer is a high mortality cancer, and its increasing prevalence is a concern worldwide. Current treatment modalities for liver cancer include chemotherapy and immunotherapy. These therapies provide symptomatic relief and help prolong the lives of patients but are not an absolute cure. In this paper we have explored an alternative approach, drug repurposing, to identify drugs for treating liver cancer. Databases like PubMed, ScienceDirect, and JSTOR were used for literature mining, and the PRISMA 2020 systemic review guidelines were followed to identify drugs that have been trialed for repurposing in liver cancer. The protein receptors and target protein classes of all the drugs were identified using the Swiss Target Prediction tool. Further, the biological interactions and pathways followed by the drugs were studied via protein interaction networks using Cytoscape. Molecular pathways such as Bile acid receptor activity, Inosine-5′-monophosphate (IMP) dehydrogenase activity, JUN kinase activity, Nitric-oxide synthase activity, and Mitogen-activated protein (MAP) kinase activity were observed to be influenced by these drugs. The fact that the genes targeted by these repurposed drugs are common with the differentially expressed genes in liver cancer is an excellent starting point to verify the current hypothesis.
ISSN:2813-2998