HCC risk prediction using biomarkers in non-cirrhotic patients following HCV eradication: Reassuring the patient or the doctor?
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ABSTRACT:
SUBMITTER: Costentin CE
PROVIDER: S-EPMC8283026 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
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HCC risk prediction using biomarkers in non-cirrhotic patients following HCV eradication: Reassuring the patient or the doctor?
Costentin Charlotte E CE Nahon Pierre P
JHEP reports : innovation in hepatology 20210612 4
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Project description:Progression from chronic hepatitis C virus (HCV) infection to cirrhosis and hepatocellular carcinoma (HCC) results in protein changes in the peripheral blood. We evaluated global protein expression in plasma samples of HCV-cirrhotic and HCV-cirrhotic-HCC patients.Plasma samples from 25 HCV-cirrhotic-HCC and 10 HCV-cirrhotic patients were quantitatively evaluated for protein expression. Tryptic peptides were analyzed using Thermo linear ion-trap mass spectrometer (LTQ) coupled with a Surveyor HPLC system (Thermo). SEQUEST and X!Tandem database search algorithms were used for peptide sequence identification. Protein relative quantification was performed using the area under the curve from the select ion chromatogram. A significant fold change between groups was based on controlling the false discovery rate (FDR) at less than 5%.We identified and quantified 2320 proteins from the analysis of the different protein pattern between HCV-cirrhosis and HCV-HCC samples. Gene ontology terms classified the more important biologic process related to these proteins as signal transduction, regulation of transcription DNA-dependent, protein amino acid phosphorylation, cell adhesion, transport, and immune response. Seven proteins showed significant expression changes with a FDR less than 5% between cirrhosis and tumor groups. Moreover, 18 proteins showed significant expression changes (FDR <5%) when plasma samples from HCV-cirrhosis were compared with early HCV-HCC.Differential protein expression was observed between samples from HCV patients with cirrhosis with and without HCC. Also, differences were observed between early and advanced HCV-HCC samples. This study provides important information for discovery of potential biomarkers for early HCC diagnosis in HCV cirrhotic patients.
| S-EPMC2699556 | biostudies-literature
Project description: Not available
| S-DIXA-D-1047 | biostudies-other
Project description:BackgroundMounting evidences have demonstrated that HCC patients with or without cirrhosis possess different clinical characteristics, tumor development and prognosis. However, few studies directly investigated the underlying molecular mechanisms between non-cirrhotic HCC and cirrhotic HCC.MethodsThe clinical information and RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) of HCC with or without cirrhosis were obtained by R software. Functional annotation and pathway enrichment analysis were performed by Enrichr. Protein-protein interaction (PPI) network was established through STRING and mapped to Cytoscape to identify hub genes. MicroRNAs were predicted through miRDB database. Furthermore, correlation analysis between selected genes and miRNAs were conducted via starBase database. MiRNAs expression levels between HCC with or without cirrhosis and corresponding normal liver tissues were further validated through GEO datasets. Finally, expression levels of key miRNAs and target genes were validated through qRT-PCR.ResultsBetween 132 non-cirrhotic HCC and 79 cirrhotic HCC in TCGA, 768 DEGs were acquired, mainly involved in neuroactive ligand-receptor interaction pathway. According to the result from gene expression analysis in TCGA, CCL19, CCL25, CNR1, PF4 and PPBP were renamed as key genes and selected for further investigation. Survival analysis indicated that upregulated CNR1 correlated with worse OS in cirrhotic HCC. Furthermore, ROC analysis revealed the significant diagnostic values of PF4 and PPBP in cirrhotic HCC, and CCL19, CCL25 in non-cirrhotic HCC. Next, 517 miRNAs were predicted to target the 5 key genes. Correlation analysis confirmed that 16 of 517 miRNAs were negatively regulated the key genes. By detecting the expression levels of these key miRNAs from GEO database, we found 4 miRNAs have high research values. Finally, potential miRNA-mRNA networks were constructed based on the results of qRT-PCR.ConclusionIn silico analysis, we first constructed the miRNA-mRNA regulatory networks in non-cirrhotic HCC and cirrhotic HCC.
| S-EPMC6637578 | biostudies-literature
Project description:In this study we used a high-throughput method for assaying methylation of CpG sites simultaneously in a single sample for identifying differences in methylation observed in tissues ranging from normal liver to pre-neoplastic (cirrhosis) and neoplastic (HCC) states. Since there are important clinical and prognostic differences among HCC patients due to etiology, this study was designed to focus on HCC due to HCV-infection, a more common etiology of HCC among Western countries
2010-02-19 | GSE18081 | GEO
Project description:In this study we used a high-throughput method for assaying methylation of CpG sites simultaneously in a single sample for identifying differences in methylation observed in tissues ranging from normal liver to pre-neoplastic (cirrhosis) and neoplastic (HCC) states. Since there are important clinical and prognostic differences among HCC patients due to etiology, this study was designed to focus on HCC due to HCV-infection, a more common etiology of HCC among Western countries cross-sectional: 20 cirrhosis, 20 HCC, and 16 normal patients, 87 arrays
2010-02-18 | E-GEOD-18081 | biostudies-arrayexpress
Project description:BackgroundThe introduction of direct-acting antivirals (DAA) for HCV has led to high rates of HCV eradication. Treatment of patients awaiting liver transplantation (LT) has been controversial. Recent data suggests that DAA treatment may accelerate recurrent HCC. The impact of DAA on delisting for HCC progression or recurrent HCC post-LT has not been well characterized.MethodsA retrospective review of both waitlist patients and LT recipients at a single institution was performed. Patient demographics, HCV treatment, HCC features and treatments, biopsy results, and graft and patient survival were evaluated. Patients on the LT waitlist or who were transplanted between January 2014 and December 2015 were included. Data was collected through December 2017 to have a minimum of two years of follow-up.ResultsIn the study period, 128 adult LT were performed. 44 patients were HCV+, and 68.2% (N=30) also had HCC. 38.6% (N=17) of HCV+ patients received DAA pre-LT, and 94.1% (N=16/17) achieved sustained virologic response (SVR) pre-LT. Among untreated HCV+ patients who underwent LT, 81.5% (N=22/27) received DAA post-LT, with 82.6% achieving SVR post-LT (N=18/22). 82.1% (N=23/28) of untreated post-LT patients underwent liver biopsy prior to therapy, and 52.2% had at least F1 METAVIR fibrosis. 87.5% (N=14/16) of active waitlist patients received DAA and achieved SVR. HCV eradication did not result in higher rates of delisting for HCC progression. Due to local HCC listing criteria of total tumor volume and AFP, 60% (N=18/30) of HCV+/HCC patients were beyond Milan criteria at the time of LT. Despite this, there was no difference in HCC recurrence rates post-LT, whether patients achieved SVR pre- or post-LT.ConclusionsThese data suggest that HCV eradication pre-LT does not significantly impact waitlist time for HCV+ patients with HCC. HCV eradication does not impact rates of delisting for HCC progression or rates of HCC recurrence post-LT.
| S-EPMC6354133 | biostudies-literature
Project description:Prospective studies on predictors of liver-related events in cirrhotic subjects achieving SVR after DAAs are lacking. We prospectively enrolled HCV cirrhotic patients in four Italian centers between November 2015 and October 2017. SVR and no-SVR cases were compared according to the presence or absence of liver-related events during a 24-month follow-up. Independent predictors of liver-related events were evaluated by Cox regression analysis. A total of 706 subjects started DAAs therapy. SVR was confirmed in 687 (97.3%). A total of 61 subjects (8.9%) in the SVR group and 5 (26.3%) in the no-SVR group had liver-related events (p < 0.03). The incidence rate x 100 p/y was 1.6 for HCC, 1.7 for any liver decompensation, and 0.5 for hepatic death. Baseline liver stiffness (LSM) ≥ 20 kPa (HR 4.0; 95% CI 1.1-14.1) and genotype different from 1 (HR 7.5; 95% CI 2.1-27.3) were both independent predictors of liver decompensation. Baseline LSM > 20 KPa (HR 7.2; 95% CI 1.9-26.7) was the sole independent predictor of HCC. A decrease in liver stiffness (Delta LSM) by at least 20% at the end of follow-up was not associated with a decreased risk of liver-related events. Baseline LSM ≥ 20 kPa identifies HCV cirrhotic subjects at higher risk of liver-related events after SVR.
| S-EPMC8345116 | biostudies-literature
Project description:Patients with HCV-related bridging fibrosis or cirrhosis remain at risk of developing life-threatening complications even after achieving a sustained virological response. Although it is reduced, the risk of liver-related events in these patients justifies their inclusion in surveillance programmes dedicated to the early detection of hepatocellular carcinoma and the screening for portal hypertension. Biochemical parameters or non-invasive tests might indicate the potential progression of liver injury despite viral clearance. Specific attention must be focused on the management of comorbidities, while dedicated educational programmes must be encouraged to increase compliance and commitment to surveillance. Better knowledge of the long-term evolution of these patients, who now live longer, is essential to improve risk stratification and refine screening strategies in this growing population.
| S-EPMC7005771 | biostudies-literature
Project description:We attempted to development prediction methods for hepatocellular carcinoma (HCC) in chronic hepatitis C patients who have been successfully treated by anti-viral therapy. 2565 miRNAs in 43 liver tissues specimens were analyzed.
2020-01-24 | GSE119156 | GEO
Project description:We attempted to development prediction methods for hepatocellular carcinoma (HCC) in chronic hepatitis C patients who have been successfully treated by anti-viral therapy. 2565 miRNAs in 139 exosome specimens were analyzed.
2020-01-24 | GSE119159 | GEO