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Identification of differentially expressed mRNA/lncRNA modules in acutely regorafenib-treated sorafenib-resistant Huh7 hepatocellular carcinoma cellsopen access

Authors
Baek, MinaKim, MinjaeChoi, Hae InBert, BinasCha, JunhoJung, Kyoung HwaChoi, SungkyoungChai, Young Gyu
Issue Date
Apr-2024
Publisher
Public Library of Science
Citation
PLoS ONE, v.19, no.4 , pp 1 - 19
Pages
19
Indexed
SCIE
SCOPUS
Journal Title
PLoS ONE
Volume
19
Number
4
Start Page
1
End Page
19
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118848
DOI
10.1371/journal.pone.0301663
ISSN
1932-6203
Abstract
The multikinase inhibitor sorafenib is the standard first-line treatment for advanced hepatocellular carcinoma (HCC), but many patients become sorafenib-resistant (SR). This study investigated the efficacy of another kinase inhibitor, regorafenib (Rego), as a second-line treatment. We produced SR HCC cells, wherein the PI3K-Akt, TNF, cAMP, and TGF-beta signaling pathways were affected. Acute Rego treatment of these cells reversed the expression of genes involved in TGF-beta signaling but further increased the expression of genes involved in PI3K-Akt signaling. Additionally, Rego reversed the expression of genes involved in nucleosome assembly and epigenetic gene expression. Weighted gene coexpression network analysis (WGCNA) revealed four differentially expressed long non-coding RNA (DElncRNA) modules that were associated with the effectiveness of Rego on SR cells. Eleven putative DElncRNAs with distinct expression patterns were identified. We associated each module with DEmRNAs of the same pattern, thus obtaining DElncRNA/ DEmRNA co-expression modules. We discuss the potential significance of each module. These findings provide insights and resources for further investigation into the potential mechanisms underlying the response of SR HCC cells to Rego. © 2024 Baek et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > ERICA 수리데이터사이언스학과 > 1. Journal Articles
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > DEPARTMENT OF MOLECULAR & LIFE SCIENCE > 1. Journal Articles

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ERICA 소프트웨어융합대학 (ERICA 수리데이터사이언스학과)
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