scholarly journals MAPK/ERK Signaling Pathway in Hepatocellular Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 3026
Author(s):  
Hyuk Moon ◽  
Simon-Weonsang Ro

Hepatocellular carcinoma (HCC) is a major health concern worldwide, and its incidence is increasing steadily. Recently, the MAPK/ERK signaling pathway in HCC has gained renewed attention from basic and clinical researchers. The MAPK/ERK signaling pathway is activated in more than 50% of human HCC cases; however, activating mutations in RAS and RAF genes are rarely found in HCC, which are major genetic events leading to the activation of the MAPK/ERK signaling pathway in other cancers. This suggests that there is an alternative mechanism behind the activation of the signaling pathway in HCC. Here, we will review recent advances in understanding the cellular and molecular mechanisms involved in the activation of the MAPK/ERK signaling pathway and discuss potential therapeutic strategies targeting the signaling pathway in the context of HCC.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hiroaki Kanzaki ◽  
Tetsuhiro Chiba ◽  
Junjie Ao ◽  
Keisuke Koroki ◽  
Kengo Kanayama ◽  
...  

AbstractFGF19/FGFR4 autocrine signaling is one of the main targets for multi-kinase inhibitors (MKIs). However, the molecular mechanisms underlying FGF19/FGFR4 signaling in the antitumor effects to MKIs in hepatocellular carcinoma (HCC) remain unclear. In this study, the impact of FGFR4/ERK signaling inhibition on HCC following MKI treatment was analyzed in vitro and in vivo assays. Serum FGF19 in HCC patients treated using MKIs, such as sorafenib (n = 173) and lenvatinib (n = 40), was measured by enzyme-linked immunosorbent assay. Lenvatinib strongly inhibited the phosphorylation of FRS2 and ERK, the downstream signaling molecules of FGFR4, compared with sorafenib and regorafenib. Additional use of a selective FGFR4 inhibitor with sorafenib further suppressed FGFR4/ERK signaling and synergistically inhibited HCC cell growth in culture and xenograft subcutaneous tumors. Although serum FGF19high (n = 68) patients treated using sorafenib exhibited a significantly shorter progression-free survival and overall survival than FGF19low (n = 105) patients, there were no significant differences between FGF19high (n = 21) and FGF19low (n = 19) patients treated using lenvatinib. In conclusion, robust inhibition of FGF19/FGFR4 is of importance for the exertion of antitumor effects of MKIs. Serum FGF19 levels may function as a predictive marker for drug response and survival in HCC patients treated using sorafenib.


Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3651
Author(s):  
Alexandru Blidisel ◽  
Iasmina Marcovici ◽  
Dorina Coricovac ◽  
Florin Hut ◽  
Cristina Adriana Dehelean ◽  
...  

Hepatocellular carcinoma (HCC), the most frequent form of primary liver carcinoma, is a heterogenous and complex tumor type with increased incidence, poor prognosis, and high mortality. The actual therapeutic arsenal is narrow and poorly effective, rendering this disease a global health concern. Although considerable progress has been made in terms of understanding the pathogenesis, molecular mechanisms, genetics, and therapeutical approaches, several facets of human HCC remain undiscovered. A valuable and prompt approach to acquire further knowledge about the unrevealed aspects of HCC and novel therapeutic candidates is represented by the application of experimental models. Experimental models (in vivo and in vitro 2D and 3D models) are considered reliable tools to gather data for clinical usability. This review offers an overview of the currently available preclinical models frequently applied for the study of hepatocellular carcinoma in terms of initiation, development, and progression, as well as for the discovery of efficient treatments, highlighting the advantages and the limitations of each model. Furthermore, we also focus on the role played by computational studies (in silico models and artificial intelligence-based prediction models) as promising novel tools in liver cancer research.


Theranostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 2108-2122
Author(s):  
Chengfei Zhang ◽  
Xiaoming Wang ◽  
Dan Fang ◽  
Ping Xu ◽  
Xiao Mo ◽  
...  

Oncotarget ◽  
2015 ◽  
Vol 6 (10) ◽  
pp. 7899-7917 ◽  
Author(s):  
Feng Wang ◽  
Hou-Qun Ying ◽  
Bang-Shun He ◽  
Yu-Qin Pan ◽  
Qi-Wen Deng ◽  
...  

2020 ◽  
Author(s):  
Tong-tong Li ◽  
Jie Mou ◽  
Yao-jie Pan ◽  
Fu-chun Huo ◽  
Wen-qi Du ◽  
...  

Abstract Background: Kinase inhibitor sorafenib is the first-line targeted drug for advanced hepatocellular carcinoma (HCC) patients. However, the appearance of anti-cancer agents’ resistance has limited its therapeutic effect. Methods: In this study, quantitative real-time PCR (qPCR) and Western Blot were utilized to detect the levels of PAK5 in HCC sorafenib-resistant cells and their parental cells. The biological functions of miR-138-1-3p and PAK5 in sorafenib-resistant cells and their parental cells were explored by cell viability assay, plate colony formation assay and flow cytometric analysis. The potential mechanisms of PAK5 were evaluated via co-immunoprecipitation (co-IP), immunofluorescence, dual luciferase reporter assay and chromatin immunoprecipitation (ChIP). The effects of miR-138-1-3p and PAK5 on HCC sorafenib chemoresistant characteristics were investigated by a xenotransplantation model. Results: We detected significant down-regulation of miR-138-1-3p and up-regulation of PAK5 in HCC sorafenib resistance cell lines. Mechanical studies revealed that miR-138-1-3p reduced the protein expression of PAK5 by directly targeting the 3′-UTR of PAK5 mRNA. In addition, we verified that PAK5 elevated the phosphorylation and nuclear translocation of β-catenin that enhanced the transcriptional activity of multidrug resistance protein ABCB1. Conclusions: PAK5 contributed to the sorafenib chemoresistant characteristics of HCC by activity β-catenin/ABCB1 signaling pathway. Our findings identified the correlation between miR-138-1-3p and PAK5 and the molecular mechanisms of PAK5-mediated HCC sorafenib resistance, which provided a potential therapeutic target for advanced HCC patients.


2020 ◽  
Vol 21 (4) ◽  
pp. 1363 ◽  
Author(s):  
Pieter-Jan Van Camp ◽  
David B. Haslam ◽  
Aleksey Porollo

Antimicrobial resistance (AMR) is a major health concern worldwide. A better understanding of the underlying molecular mechanisms is needed. Advances in whole genome sequencing and other high-throughput unbiased instrumental technologies to study the molecular pathogenicity of infectious diseases enable the accumulation of large amounts of data that are amenable to bioinformatic analysis and the discovery of new signatures of AMR. In this work, we review representative methods published in the past five years to define major approaches developed to-date in the understanding of AMR mechanisms. Advantages and limitations for applications of these methods in clinical laboratory testing and basic research are discussed.


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