Investigation of Hepatocellular Carcinoma Molecular Mechanisms via in Silico Analyses

2020 ◽  
Author(s):  
Refika Sultan Dogan ◽  
Samed Saka ◽  
Burcu Bakir Gungor
Keyword(s):  
Hepatocellular Carcinoma ◽  
In Silico ◽  
Molecular Mechanisms ◽  
In Silico Analyses

scholarly journals Crosstalk between microRNA-122 and FOX family genes in HepG2 cells

2016 ◽  
Vol 242 (4) ◽  
pp. 436-440 ◽  
Author(s):  
Subodh Kumar ◽  
Ankita Batra ◽  
Shruthi Kanthaje ◽  
Sujata Ghosh ◽  
Anuradha Chakraborti
Keyword(s):  
Hepatocellular Carcinoma ◽  
Molecular Interactions ◽  
In Silico ◽  
Hepg2 Cells ◽  
Molecular Mechanisms ◽  
In Silico Analysis ◽  
Transcript Level ◽  
Forkhead Box ◽  
Fox Genes ◽  
Silico Analysis

MicroRNA-122 (miR-122) is liver specific and plays an important role in physiology as well as diseases including hepatocellular carcinoma (HCC). Downregulation of miR-122 in HCC modulates apoptosis. Similarly, the putative targets of miR-122, the forkhead box (FOX) family genes also play an important role in the regulation of apoptosis. Hence, an interplay between miR-122 and FOX family genes has been explored in this study. Initially, an augmentation of apoptosis was noticed in HepG2 cells after transfection with miR-122. Further, the predicted miR-122 targets, the FOX family genes ( FOXM1b, FOXP1, and FOXO4) were selected via in silico analysis based on their role in apoptosis. We checked the expression of all these genes at transcript level after the transfection of miR-122 and found that the relative expression of FOXP1 and FOXM1b was significantly downregulated (p < 0.005) and that of FOXO4 was upregulated (p < 0.005). Thus, the finding indicates deregulation of these FOX genes as a result of miR-122 augmentation might be involved in the modulation of apoptosis. Impact Statement Here, we have investigated the crosstalk between microRNA-122 (miR-122) and selective FOX family genes in HepG2 cells. miR-122 is a prominent miRNA in liver and has been reported to be downregulated in hepatocellular carcinoma (HCC). It has been speculated that diminished level of miR-122 during HCC might be one of the reasons for tumor progression. However, the exact molecular interactions are not clear yet. This study unravels one of the molecular mechanisms of miR-122 through which it might impact the tumorigenesis of HCC.

In-silico Analyses of Natural Products on Leishmania Enzyme Targets

2015 ◽  
Vol 15 (3) ◽  
pp. 253-269 ◽  
Author(s):  
L. Scotti ◽  
H. Ishiki ◽  
F.J.B. Mendonca ◽  
M.S. Silva ◽  
M.T. Scotti
Keyword(s):  
Natural Products ◽  
In Silico ◽  
In Silico Analyses

scholarly journals The impact of FGF19/FGFR4 signaling inhibition in antitumor activity of multi-kinase inhibitors in hepatocellular carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hiroaki Kanzaki ◽  
Tetsuhiro Chiba ◽  
Junjie Ao ◽  
Keisuke Koroki ◽  
Kengo Kanayama ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Molecular Mechanisms ◽  
Kinase Inhibitors ◽  
Progression Free Survival ◽  
Erk Signaling ◽  
Enzyme Linked Immunosorbent Assay ◽  
Antitumor Effects ◽  
The Impact

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.

scholarly journals Hypoxia, Metabolic Reprogramming, and Drug Resistance in Liver Cancer

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1715
Author(s):  
Macus Hao-Ran Bao ◽  
Carmen Chak-Lui Wong
Keyword(s):  
Hepatocellular Carcinoma ◽  
Drug Resistance ◽  
Liver Cancer ◽  
Effective Treatment ◽  
Molecular Mechanisms ◽  
Hypoxia Inducible Factor ◽  
Metabolic Reprogramming ◽  
Combination Therapies ◽  
Low Oxygen ◽  
Treatment Regimens

Hypoxia, low oxygen (O2) level, is a hallmark of solid cancers, especially hepatocellular carcinoma (HCC), one of the most common and fatal cancers worldwide. Hypoxia contributes to drug resistance in cancer through various molecular mechanisms. In this review, we particularly focus on the roles of hypoxia-inducible factor (HIF)-mediated metabolic reprogramming in drug resistance in HCC. Combination therapies targeting hypoxia-induced metabolic enzymes to overcome drug resistance will also be summarized. Acquisition of drug resistance is the major cause of unsatisfactory clinical outcomes of existing HCC treatments. Extra efforts to identify novel mechanisms to combat refractory hypoxic HCC are warranted for the development of more effective treatment regimens for HCC patients.

In vivo and in silico analyses of estrogenic potential of equine estrogens in medaka (Oryzias latipes)

2021 ◽  
Vol 767 ◽  
pp. 144379
Author(s):  
Hiroshi Ishibashi ◽  
Masaya Uchida ◽  
Masashi Hirano ◽  
Taka Hayashi ◽  
Ryoko Yamamoto ◽  
...  
Keyword(s):  
In Silico ◽  
Oryzias Latipes ◽  
Estrogenic Potential ◽  
Equine Estrogens ◽  
In Silico Analyses

scholarly journals How to Use Online Tools to Generate New Hypotheses for Mammary Gland Biology Research: A Case Study for Wnt7b

2021 ◽  
Author(s):  
Yorick Bernardus Cornelis van de Grift ◽  
Nika Heijmans ◽  
Renée van Amerongen
Keyword(s):  
Mammary Gland ◽  
In Silico ◽  
Online Tools ◽  
Mammary Gland Biology ◽  
User Friendly ◽  
In Silico Analyses ◽  
Biology Research ◽  
Selection Of

AbstractAn increasing number of ‘-omics’ datasets, generated by labs all across the world, are becoming available. They contain a wealth of data that are largely unexplored. Not every scientist, however, will have access to the required resources and expertise to analyze such data from scratch. Fortunately, a growing number of investigators is dedicating their time and effort to the development of user friendly, online applications that allow researchers to use and investigate these datasets. Here, we will illustrate the usefulness of such an approach. Using regulation of Wnt7b expression as an example, we will highlight a selection of accessible tools and resources that are available to researchers in the area of mammary gland biology. We show how they can be used for in silico analyses of gene regulatory mechanisms, resulting in new hypotheses and providing leads for experimental follow up. We also call out to the mammary gland community to join forces in a coordinated effort to generate and share additional tissue-specific ‘-omics’ datasets and thereby expand the in silico toolbox.

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