In the present study, tissue samples from normal liver, cirrhosis and HCC were subjected to differentially gene expression analysis, weighted gene correlation network analysis to identify the twenty hub genes (TOP2A, CDC20, PTTG1, CDCA5, CCNB2, PRC1, KIF20A, SF3B4, HSP90AB1, FOXD2, PLOD3, CCT3, SETDB1, VPS45, SPDL1, RACGAP1, MED24, KIAA0101, ZNF282, and USP21) in the pathological progression from cirrhosis to HCC.
To elucidate molecular mechanism underlying the suppressive role of miR-744 in LC, we observed that miR-744 and transforming growth factor β1 (TGFβ1) are inversely correlated in LC patients' sera as well as sera/livers from CCl<sub>4</sub>-induced LC mice.
Immunohistochemical staining of human liver disease tissue arrays showed that HMGCS2 is abundantly expressed in normal liver tissues but is downregulated in cirrhosis and HCC tissues.
The serum ANGPTL2 displayed better diagnostic efficiency not only for differentiating HCC from HC but also for differentiating HCC from high-risk controls (CHB+LC).
Additionally, subgroup analysis showed that high THBS4 levels were only associated with poor overall survival for alpha-fetoprotein >40 ng/mL (P = 0.028) and cirrhosis (P = 0.002).
Our new HCC prediction model using MFG-E8 and DCP (Logit(p) = 2.619 - 0.809 × serum MFG-E8 + 0.0226 × serum DCP) distinguished HCC patients from CH and LC patients with an area under the curve of 0.923, a sensitivity of 81.1%, and a specificity of 89.8%.
Serum AFP, CEA, and CA19-9 levels in the PHC group were significantly higher compared to those with liver cirrhosis and healthy control groups (<i>P <</i> 0.03).
The statistical analysis revealed that the levels of CTHRC1 were significantly correlated with cirrhosis (<i>P</i>=0.024), tumor size (<i>P</i>=0.006), vascular invasion (<i>P</i><0.001), TNM stage (<i>P</i><0.001), and BCLC stage (<i>P</i><0.001).
In this study, we demonstrated that HtrA2/Omi expression considerably decreased in liver tissues from the CCl<sub>4</sub>-induced liver fibrotic mice model and from patients with liver cirrhosis.
The current work was engrossed to weigh the potential role of Cichorium intybus linn against thioacetamide (TAA)-induced liver cirrhosis and their probable underlying biochemical and molecular mechanisms. farnesoid-X-receptor (FXR) expression, proliferating cell nuclear antigen (PCNA) immunoreactivity, and activated AMP protein kinase (pAMPK), sirtuin-1 (SIRT1), and interleukin-6 (IL6) levels were estimated in hepatic tissue by real-time PCR, immunohistochemistry, and immunoassay, respectively.
PRDM1 levels could considerably differentiate HCC from chronic hepatitis [area under receiver operating characteristic curve (AUC) 0.889, p < 0.001] or cirrhosis (AUC 0.910, p < 0.001).
Outcome variables were: a) liver fibrosis (Metavir score) [fibrosis stage (F0, F1, F2, F3 and F4) and advanced fibrosis and cirrhosis (F ≥ 3 and F4, respectively)]; b) non-invasive indexes [FIB-4, APRI, and their cut-offs (FIB-4 ≥ 3.25 and APRI≥1.5)]; c) inflammation-related biomarkers (leptin, HGF, NGF, sFasL, sFas, MIF, HA, Ang-2, TIMP1, MMP1 and MMP2).
MEDLINE and Embase were searched up to March 6, 2019, to identify case-control and cohort studies with sex-specific results and more than 2 categories of drinking in relation to the incidence of liver cirrhosis.
In AUROC analysis, CPA and ELF had similar diagnostic accuracy in identifying cirrhosis, but CPA had higher diagnostic accuracy than ELF in identifying significant or absent fibrosis.
Outcome variables were: a) liver fibrosis (Metavir score) [fibrosis stage (F0, F1, F2, F3 and F4) and advanced fibrosis and cirrhosis (F ≥ 3 and F4, respectively)]; b) non-invasive indexes [FIB-4, APRI, and their cut-offs (FIB-4 ≥ 3.25 and APRI≥1.5)]; c) inflammation-related biomarkers (leptin, HGF, NGF, sFasL, sFas, MIF, HA, Ang-2, TIMP1, MMP1 and MMP2).
Plasma proteome profiling of 48 patients with and without cirrhosis or NAFLD revealed six statistically significantly changing proteins (ALDOB, APOM, LGALS3BP, PIGR, VTN, and AFM), two of which are already linked to liver disease.
CCL14 also displayed its predictive value in high differentiation (P = 0.026), liver cirrhosis (P = 0.003), and no tumor capsule (P = 0.024) subgroups.
Network analysis of super-enhancer-associated gene interactions and expression arrays for cohorts of patients with hepatitis and cirrhosis enabled us to identify a super-enhancer-associated network, and LRH1, HNF4α, PPARα, and RXRα as core TFs.