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Original Research Article | OPEN ACCESS

Bioinformatics and experimental validation of mechanisms underlying lenvatinib therapy for hepatocellular carcinoma

Cheng Zeng1, Xiaoyi Yang1, Lantian Wang2, Huiling He1, Zhe Tang1,2

1The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China; 2The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, People's Republic of China.

For correspondence:-  Zhe Tang   Email: 8xi@zju.edu.cn   Tel:+8686971335

Accepted: 27 May 2023        Published: 30 June 2023

Citation: Zeng C, Yang X, Wang L, He H, Tang Z. Bioinformatics and experimental validation of mechanisms underlying lenvatinib therapy for hepatocellular carcinoma. Trop J Pharm Res 2023; 22(6):1271-1281 doi: 10.4314/tjpr.v22i6.17

© 2023 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To investigate and validate the therapeutic targets of lenvatinib in hepatocellular carcinoma (HCC), using bioinformatics and in vitro experiments.
Methods: The potential core targets of lenvatinib were identified through screening and analysis of various databases. The core targets were validated using in vitro experiments.
Results: The results showed that lenvatinib significantly affected pro-survival signals of MAPK signaling pathway which activate and regulate a range of cellular activities. Molecular docking revealed that key proteins may be the key targets of lenvatinib in its systematic anti-tumor effect on HCC. Results from quantitative reverse transcription-polymerase chain reaction (qRT-PCR) revealed that lenvatinib regulated the expressions of key genes associated with HCC.
Conclusion: The findings of this investigation provide a new insight for further development of lenvatinib as a drug for HCC treatment.

Keywords: Lenvatinib, Hepatocellular carcinoma, Bioinformatics, Molecular docking, Network pharmacology, Protein-protein interaction

Impact Factor
Thompson Reuters (ISI): 0.523 (2021)
H-5 index (Google Scholar): 39 (2021)

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