Incidence and risk factors associated with hepatocellular carcinoma surveillance failure

Mancebo, Alejo; Varela, Marı́a; González-Diéguez, M.L.; Navascués, C.A.; Cadahía, Valle; Mesa-Álvarez, Alicia; Rodrigo, Luís; Rodrı́guez, Manuel

doi:10.1111/jgh.14108

Cited by 20 publications

(13 citation statements)

References 26 publications

(51 reference statements)

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“…Hepatocellular carcinoma (HCC) is one of the most common malignancies in humans originating from liver epithelial cells and has a high recurrence rate [1,2]. It has high mortality and global distribution being the fifth most common cancer and the second main reason of cancer-related mortality [3].…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Molecular Mechanisms of the NKG2D Pathway in Hepatocellular Carcinoma

Wang¹,

Li²,

Sun³

2020

Biomolecules

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Hepatocellular carcinoma is a common malignant tumor with high mortality. Its malignant proliferation, invasion, and metastasis are closely related to the cellular immune function of the patients. NKG2D is a key activated and type II membrane protein molecule expressed on the surface of almost all NK cells. The human NKG2D gene is 270 kb long, located at 12p12.3–p13.1, and contains 10 exons and 9 introns. The three-dimensional structure of the NKG2D monomeric protein contains two alpha-helices, two beta-lamellae, and four disulfide bonds, and its’ signal of activation is transmitted mainly by the adaptor protein (DAP). NKG2D ligands, including MICA, MICB, and ULBPs, can be widely expressed in hepatoma cells. After a combination of NKG2D and DAP10 in the form of homologous two polymers, the YxxM motif in the cytoplasm is phosphorylated and then signaling pathways are also gradually activated, such as PI3K, PLCγ2, JNK-cJunN, and others. Activated NK cells can enhance the sensitivity to hepatoma cells and specifically dissolve by releasing a variety of cytokines (TNF-α and IFN-γ), perforin, and high expression of FasL, CD16, and TRAIL. NK cells may specifically bind to the over-expressed MICA, MICB, and ULBPs of hepatocellular carcinoma cells through the surface activating receptor NKG2D, which can help to accurately identify hepatoma, play a critical role in anti-hepatoma via the pathway of cytotoxic effects, and obviously delay the poor progress of hepatocellular carcinoma.

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Section: Introductionmentioning

confidence: 99%

Recent Advances in Molecular Mechanisms of the NKG2D Pathway in Hepatocellular Carcinoma

Wang¹,

Li²,

Sun³

2020

Biomolecules

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“…HCC has become the second major malignant tumour that threatens human life [2]. In China, the leading aetiology of HCC is viral hepatitis, among which hepatitis B and hepatitis C are the most common, while alcoholic liver disease (ALD) is dominant in western countries [3]. In recent years, an increasing number of HCC cases with unknown reasons has been diagnosed, showing a younger trend [4].…”

Section: Introductionmentioning

confidence: 99%

HDNA methylation data-based molecular subtype classification related to the prognosis of patients with hepatocellular carcinoma

Chen

Cui

et al. 2020

BMC Med Genomics

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Background: DNA methylation is a common chemical modification of DNA in the carcinogenesis of hepatocellular carcinoma (HCC). Methods: In this bioinformatics analysis, 348 liver cancer samples were collected from the Cancer Genome Atlas (TCGA) database to analyse specific DNA methylation sites that affect the prognosis of HCC patients. Results: 10,699 CpG sites (CpGs) that were significantly related to the prognosis of patients were clustered into 7 subgroups, and the samples of each subgroup were significantly different in various clinical pathological data. In addition, by calculating the level of methylation sites in each subgroup, 119 methylation sites (corresponding to 105 genes) were selected as specific methylation sites within the subgroups. Moreover, genes in the corresponding promoter regions in which the above specific methylation sites were located were subjected to signalling pathway enrichment analysis, and it was discovered that these genes were enriched in the biological pathways that were reported to be closely correlated with HCC. Additionally, the transcription factor enrichment analysis revealed that these genes were mainly enriched in the transcription factor KROX. A naive Bayesian classification model was used to construct a prognostic model for HCC, and the training and test data sets were used for independent verification and testing. Conclusion: This classification method can well reflect the heterogeneity of HCC samples and help to develop personalized treatment and accurately predict the prognosis of patients.

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“…Egypt has the highest prevalence of HCV worldwide, which predisposes to high incidence of HCC in Egypt (Ziada et al, 2016). The need for new biomarkers with higher diagnostic accuracy is mandatory for early HCC diagnosis (Mancebo et al, 2018). The dysregulation of miRNAs expression is a key pathogenic mechanism in HCC development (Irshad et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Serum microRNA let-7a-1/let-7d/let-7f and miRNA 143/145 Gene Expression Profiles as Potential Biomarkers in HCV Induced Hepatocellular Carcinoma

Aly

Gohar

El-Hady

et al. 2020

Asian Pac J Cancer Prev

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Incidence and risk factors associated with hepatocellular carcinoma surveillance failure

Cited by 20 publications

References 26 publications

Recent Advances in Molecular Mechanisms of the NKG2D Pathway in Hepatocellular Carcinoma

Recent Advances in Molecular Mechanisms of the NKG2D Pathway in Hepatocellular Carcinoma

HDNA methylation data-based molecular subtype classification related to the prognosis of patients with hepatocellular carcinoma

Serum microRNA let-7a-1/let-7d/let-7f and miRNA 143/145 Gene Expression Profiles as Potential Biomarkers in HCV Induced Hepatocellular Carcinoma

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