scholarly journals New Molecular Biomarkers Candidates for the Development of Multiparametric Platforms for Hepatocellular Carcinoma Diagnosis, Prognosis and Personalised Therapy

10.5772/30254 ◽  
2012 ◽  
Author(s):  
Annalucia Serafino ◽  
Pasquale Pierimarchi
Keyword(s):  
Hepatocellular Carcinoma ◽  
Molecular Biomarkers ◽  
Personalised Therapy

scholarly journals Dissecting the expression landscape of cytochromes P450 in hepatocellular carcinoma: towards novel molecular biomarkers

2019 ◽  
Vol 10 (3-4) ◽  
pp. 97-108
Author(s):  
Camille Martenon Brodeur ◽  
Philippe Thibault ◽  
Mathieu Durand ◽  
Jean-Pierre Perreault ◽  
Martin Bisaillon
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cytochromes P450 ◽  
Molecular Biomarkers

scholarly journals MAGE-1 and MAGE-3 mRNA expressions as molecular biomarkers in patients with hepatitis C virus-related hepatocellular carcinoma

Gut ◽  
2011 ◽  
Vol 60 (Suppl 1) ◽  
pp. A229-A230 ◽  
Author(s):  
H. A. El Aggan ◽  
S. Mahmoud ◽  
W. El Delgawy ◽  
N. El Deeb ◽  
R. S. El Din
Keyword(s):  
Hepatocellular Carcinoma ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Molecular Biomarkers

scholarly journals Development and validation of a novel ten-gene signature predicting prognosis in Hepatocellular carcinoma

2020 ◽  
Author(s):  
Guanbao Zhou ◽  
Genjie Lu ◽  
Liang Yang ◽  
Yangfang Lu
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Hierarchical Clustering ◽  
Risk Score ◽  
Cox Regression ◽  
Gene Signature ◽  
Molecular Biomarkers ◽  
The Cancer Genome Atlas ◽  
Expression Levels ◽  
Gene Expression Levels

Abstract Background: Hepatocellular carcinoma (HCC) is the most common type of liver cancer with relatively poor prognosis. Thus, we aimed to identify novel molecular biomarkers to effectively predict the prognosis of HCC patients and eventually guide treatment. Methods: Prognosis-associated genes were determined by Kaplan-Meier and multivariate Cox regression analyses using the expression and clinical data of 373 HCC patients from The Cancer Genome Atlas (TCGA) database and validated in an independent Gene Expression Omnibus (GEO) dataset. The classification of AML was performed by unsupervised hierarchical clustering of ten gene expression levels. A prognostic risk score was established based on a linear combination of ten gene expression levels using the regression coefficients derived from the multivariate Cox regression models. Results: A total of 183 genes were significantly associated with prognosis in HCC. SLC25A15, RAB8A, GOT2, SORBS2, IL18RAP were top five protective genes, while FHL3, AMD1, DCAF13, UBE2E1, PTDSS2 were top five risk genes in HCC. SLC25A15, GOT2, IL18RAP were significantly down-regulated and DCAF13, PTDSS2 and SORBS2 were significantly up-regulated in the HCC samples and these genes exhibited high accuracy in differentiating HCC tissues from normal liver tissues. Hierarchical clustering analysis of the ten genes discovered three clusters of HCC patients. HCC tumors of cluster1 and 2 were significantly associated with more favourable OS than those of cluster3, cluster2 tumors showed higher pathologic stage than cluster3 tumors. The risk score was predictive of increased mortality rate in HCC patients. Conclusions: The ten-gene signature and the risk score may turn out to be novel molecular biomarkers and stratification of HCC patients to considerably ameliorate the prognostic prediction.

The Role of Serum microRNA (hsa-miR-519d) And the Associated Target Gene (SQSTM1) As Diagnostic Biological Molecular Biomarkers for Hepatocellular Carcinoma

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Tarek Mohamed Youssef ◽  
Wesam Ahmed Ibrahim ◽  
Sarah Abdel Kader El Nakeep ◽  
Amina Ahmed Mahmoud Swilam
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Cancer ◽  
Sensitivity And Specificity ◽  
Messenger Rna ◽  
Target Gene ◽  
Molecular Biomarkers ◽  
Chronic Liver ◽  
Transcriptional Level ◽  
Serum Microrna ◽  
Liver Infection

Abstract Background Hepatocellular carcinoma (HCC) is the most common primary liver cancer. The mortality of liver cancer worldwide is ranked as fourth between other cancer causes in males and females. In Egypt, it is a major problem due to the high prevalence of Hepatitis C Virus infection. Objective To characterize the expression of new serum non-coding RNA microRNA (hsa-miR519d) and the associated target gene (SQSTM1) to evaluate their usefulness as diagnostic molecular biomarkers for HCC. Patients and Methods we assessed the expression of the microRNA (hsa-miR-519d-3p) and the mRNA of (SQSTM1) gene in serum samples from 50 participants: (34) HCC patients, (11) chronic liver infection patients and (5) normal volunteers, using Quantitative Real Time Polymerase Chain Reaction (qPCR). Results The results of both microRNA (miR-519d-3p) and mRNA of (SQSTM1) gene showed a significant upregulation of their serum level in the HCC group in comparison to chronic liver infection group. In addition, the results of the serum microRNA (miR-519d) and the messenger RNA of (SQSTM1) gene using receiver operating characteristic (ROC) curve showed higher sensitivity and specificity than that of AFP, as it was (91.2%-81.8%), (97.1%-100%) and (76.5%72.7%) respectively. Conclusion The serum microRNA (hsa-mir-519d-3p) and the serum mRNA of its targeted gene (SQSTM1) are both significantly upregulated in the serum of Hepatocellular carcinoma (HCC) patients. And that the (hsa-mir-519d-3p) stimulates the gene (SQSTM1) at the transcriptional level. Finally, we could conclude that the serum microRNA (hsa-mir-519d-3p) and the serum mRNA of (SQSTM1) gene can be used as diagnostic biomarkers for HCC with good sensitivity and specificity even for early stages of HCC in comparison with AFP.

Moving towards personalised therapy in patients with hepatocellular carcinoma: the role of the microenvironment

Gut ◽  
2014 ◽  
Vol 63 (10) ◽  
pp. 1668-1676 ◽  
Author(s):  
Gianluigi Giannelli ◽  
Bhavna Rani ◽  
Francesco Dituri ◽  
Yuan Cao ◽  
Giuseppe Palasciano
Keyword(s):  
Hepatocellular Carcinoma ◽  
Personalised Therapy
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