HBx induces hepatocellular carcinogenesis through ARRB1-mediated autophagy to drive the G<sub>1</sub>/S cycle

Lei, Yiming; Xu, Xuan; Liu, Huiling; Chen, Lingjun; Zhou, Haoxiong; Jiang, Jie; Yang, Yidong; Wu, Bin

doi:10.1080/15548627.2021.1917948

Cited by 43 publications

(43 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ARRB1 (Arrestin Beta 1) plays an important role in transcription factor binding and ubiquitin protein ligase binding functions, and it is also a protein-coding gene [ 25 ]. Li et al suggest that ARRB1 may be associated with the prognosis of LUAD, and it is considered as a new molecular biomarker for the diagnosis and prognosis of LUAD [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Assessing the Prognostic Capability of Immune-Related Gene Scoring Systems in Lung Adenocarcinoma

Liu

Dong

Gao

et al. 2022

Journal of Oncology

View full text Add to dashboard Cite

Background. Lung adenocarcinoma (LUAD) is the commonest of the subtypes of lung cancer histologically. For this study, we intended to analyze the expression profiling of the immune-related genes (IRGs) from an independently available public database and developed a potent signature predictive of patients’ prognosis. Methods. Gene expression profiles and the clinical data of lung adenocarcinoma were gathered from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA), and the obtained data were split into a training set (n = 226), test set (n = 83), and validation set (n = 400). IRGs were then gathered from the ImmPort database. A prognostic model was constructed by analyzing the training set. Then the GO and KEGG analysis was performed, and a gene correlation prognostic nomogram was constructed. Finally, external validation, such as immune infiltration and immunohistochemistry, was performed. Results. The 110 genes were significant by univariate Cox regression analysis and randomized survival forest algorithm for the training set and showed a good distinction between the low-risk-score and high-risk-score groups in the training set ( P < 0.0001 ) by screening for four prognosis-related genes (HMOX1, ARRB1, ADM, PDIA3) and validated by the test set GSE30219 ( P = 0.0025 ) and TCGA dataset ( P = 0.00059 ). Multivariate Cox showed that the four gene signatures were an individual risk factor for LUAD. In addition, the genes in the signatures were externally verified using an online database. In particular, PDIA3 and HMOX1 are essential genes in the prognostic nomogram and play an important role in the model of immune-related genes. Conclusion. Four immune-related genetic signatures are reliable prognostic indicators for patients with LUAD, providing a relevant theoretical basis and therapeutic rationale for immunotherapy.

show abstract

Section: Discussionmentioning

confidence: 99%

Assessing the Prognostic Capability of Immune-Related Gene Scoring Systems in Lung Adenocarcinoma

Liu

Dong

Gao

et al. 2022

Journal of Oncology

View full text Add to dashboard Cite

show abstract

“…HBV could have a large effect on the concurrent DNA methylation of CDH1 , DNMT3b, and ESR1 in the serum of HBV-related HCC samples [ 58 ]. ARRB1 has been indicated to promote HCC, and was upregulated by hepatitis B virus X protein (HBx) in mouse models [ 59 ]. Interestingly, among other candidate genes, some genes are related to the progression of HCC, including, GATAD1 [ 44 , 45 ], FOXK1 [ 46 ], RALGAPA2 [ 47 ], PDE4A [ 48 ], TRIP6 [ 49 ], SPTBN1 [ 53 ], PTP4A3 [ 54 ], TRIM4 [ 56 ], and LMNB1 [ 60 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of Therapeutic Targets for the Selective Killing of HBV-Positive Hepatocytes

Huang

Wang

2021

JPM

View full text Add to dashboard Cite

The hepatitis B virus (HBV) infection is a major risk factor for cirrhosis and hepatocellular carcinoma. Most infected individuals become lifelong carriers of HBV as the drugs currently used to treat the patients can only control the disease, thereby achieving functional cure (loss of the hepatitis B surface antigen) but not complete cure (elimination of infected hepatocytes). Therefore, we aimed to identify the target genes for the selective killing of HBV-positive hepatocytes to develop a novel therapy for the treatment of HBV infection. Our strategy was to recognize the conditionally essential genes that are essential for the survival of HBV-positive hepatocytes, but non-essential for the HBV-negative hepatocytes. Using microarray gene expression data curated from the Gene Expression Omnibus database and the known essential genes from the Online GEne Essentiality database, we used two approaches, comprising the random walk with restart algorithm and the support vector machine approach, to determine the potential targets for the selective killing of HBV-positive hepatocytes. The final candidate genes list obtained using these two approaches consisted of 36 target genes, which may be conditionally essential for the cell survival of HBV-positive hepatocytes; however, this requires further experimental validation. Therefore, the genes identified in this study can be used as potential drug targets to develop novel therapeutic strategies for the treatment of HBV, and may ultimately help in achieving the elusive goal of a complete cure for hepatitis B.

show abstract

“…Compared to the non-infected population, chronic HBV carriers have a 10- to 25-fold increased risk of HCC throughout their lifetime ( 125 ). Hepatitis B virus X protein (HBx) has been implicated in HBV-related hepatocarcinogenesis and is considered to be a key oncogenic factor ( 126 – 128 ). HBx transgenic mice developed HCC demonstrating the potential independent carcinogenic effects of HBx ( 129 ).…”

Section: Action Mechanism Of Iqgaps In Hccmentioning

confidence: 99%

Role of IQ Motif-Containing GTPase-Activating Proteins in Hepatocellular Carcinoma

et al. 2022

View full text Add to dashboard Cite

IQ motif-containing GTPase-activating proteins (IQGAPs) are a class of scaffolding proteins, including IQGAP1, IQGAP2, and IQGAP3, which govern multiple cellular activities by facilitating cytoskeletal remodeling and cellular signal transduction. The role of IQGAPs in cancer initiation and progression has received increasing attention in recent years, especially in hepatocellular carcinoma (HCC), where the aberrant expression of IQGAPs is closely related to patient prognosis. IQGAP1 and 3 are upregulated and are considered oncogenes in HCC, while IQGAP2 is downregulated and functions as a tumor suppressor. This review details the three IQGAP isoforms and their respective structures. The expression and role of each protein in different liver diseases and mainly in HCC, as well as the underlying mechanisms, are also presented. This review also provides a reference for further studies on IQGAPs in HCC.

show abstract

HBx induces hepatocellular carcinogenesis through ARRB1-mediated autophagy to drive the G₁/S cycle

Cited by 43 publications

References 52 publications

Assessing the Prognostic Capability of Immune-Related Gene Scoring Systems in Lung Adenocarcinoma

Assessing the Prognostic Capability of Immune-Related Gene Scoring Systems in Lung Adenocarcinoma

Identification of Therapeutic Targets for the Selective Killing of HBV-Positive Hepatocytes

Role of IQ Motif-Containing GTPase-Activating Proteins in Hepatocellular Carcinoma

Contact Info

Product

Resources

About

HBx induces hepatocellular carcinogenesis through ARRB1-mediated autophagy to drive the G1/S cycle

Cited by 43 publications

References 52 publications

Assessing the Prognostic Capability of Immune-Related Gene Scoring Systems in Lung Adenocarcinoma

Assessing the Prognostic Capability of Immune-Related Gene Scoring Systems in Lung Adenocarcinoma

Identification of Therapeutic Targets for the Selective Killing of HBV-Positive Hepatocytes

Role of IQ Motif-Containing GTPase-Activating Proteins in Hepatocellular Carcinoma

Contact Info

Product

Resources

About

HBx induces hepatocellular carcinogenesis through ARRB1-mediated autophagy to drive the G₁/S cycle