Hepatocellular Carcinoma Group Research Articles

Stereotactic Body Radiation Therapy (SBRT) Plus Immune Checkpoint Inhibitors (ICI) in Hepatocellular Carcinoma and Cholangiocarcinoma.

The combination of stereotactic body radiation therapy (SBRT) plus immune checkpoint inhibitors (ICI) must be explored to treat advanced primary liver tumors such as hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). Limited retrospective reviews and case reports/series suggest this combination can be effective and safe in both cancer types. With ICIs moving into the first line (IMbrave 150, HIMALAYA, and TOPAZ-1) to manage these cancers, identifying a suitable population for this approach is challenging. Patients with macrovascular invasion (MVI)-positive HCC (especially if larger veins are involved) or recurrent HCCs post-locoregional therapies (such as transarterial radioembolization (TARE), transarterial chemoembolization (TACE), or ablation), as well as those ineligible for bevacizumab or tyrosine kinase inhibitors (TKIs), should be the focus of exploring this combination in HCC. Unresectable or oligometastatic CCA patients who cannot tolerate gemcitabine/cisplatin (GC) or those who progressed on GC without durvalumab and do not have targetable mutations could also be considered for this approach. In both HCC and CCA disease groups, SBRT plus ICI can be examined post-ICI as these two modalities act synergistically to enhance anti-tumor activity (based on pre-clinical studies). Large-scale randomized trials are needed to identify the subsets of primary liver cancers suitable for this approach and to clearly define its clinical benefit.

The role of PRDM1 gene polymorphism in the progression of hepatocellular carcinoma in Egyptian patients.

In Egypt, hepatocellular carcinoma (HCC) ranks as the second largest cause of cancer mortality. PRDM1 is a tumor suppressor gene essential for the differentiation and regulation activity of plasma cells and T cells. It plays a vital role in T cell exhaustion of chronic viral infection and HCC. We aimed to study the role of PRDM1 gene polymorphism in HCV and HCC-related to hepatitis C virus (HCV) progress in Egyptians. Thecase-control study included 300 Egyptian patients divided into100 HCC,100 cirrhosis, and 100 control. Laboratory investigations were done for some clinicopathological biomarkers, including liver function tests,complete blood picture,serum alpha-fetoprotein, and hepatitis markers (HBsAg, anti-HCV-Ab). TaqMan allelic discrimination assay technique was used to genotype PRDM1 gene polymorphism. Multivariant analysis (logistic regression) assessed the association between the polymorphisms with HCC progression and designed thesuggested model for HCC prediction.The frequencies of the G allele and GG phenotype in the controlgroup were significantly more than that of the HCC and cirrhosis group. However,GA genotypes and A allele frequencies significantly increased in the HCC patients than in cirrhosis and controls. In addition, by comparing the HCC group and the non-HCC group (controls and cirrhotic patients), the subjects carrying AA or GA have 2 times more risk to develop HCC than those carrying GG genotypes (odd ratio = 2.045% and 95%confidence intervalare (1.123-3.722) p = 0.019). Multivariate analysis results suggested a model of Aspartate transaminase (AST), Albumin, and PRDM1 polymorphism to predictthe risk of HCC in Egyptians. In addition, PRDM1 polymorphism has an association with HCC prognosis (tumor size).For PRDM1 polymorphism, the A allele and AA might be considered as HCC-related to theHCV risk factor. In addition, AST, Albumin, and PRDM1 polymorphism predictthe risk of HCC in Egyptians Therefore, the polymorphism might help in identifying the susceptible Egyptians to HCC. In addition, polymorphism might have a role in HCC prognosis.

Comparative RNA-Sequencing Analysis Reveals High Complexity and Heterogeneity of Transcriptomic and Immune Profiles in Hepatocellular Carcinoma Tumors of Viral (HBV, HCV) and Non-Viral Etiology.

Background and Objectives: Hepatocellular carcinoma (HCC), the most common type of primary liver cancer, is the leading cause of cancer-related mortality. It arises and progresses against fibrotic or cirrhotic backgrounds mainly due to infection with hepatitis viruses B (HBV) or C (HCV) or non-viral causes that lead to chronic inflammation and genomic changes. A better understanding of molecular and immune mechanisms in HCC subtypes is needed. Materials and Methods: To identify transcriptional changes in primary HCC tumors with or without hepatitis viral etiology, we analyzed the transcriptomes of 24 patients by next-generation sequencing. Results: We identified common and unique differentially expressed genes for each etiological tumor group and analyzed the expression of SLC, ATP binding cassette, cytochrome 450, cancer testis, and heat shock protein genes. Metascape functional enrichment analysis showed mainly upregulated cell-cycle pathways in HBV and HCV and upregulated cell response to stress in non-viral infection. GeneWalk analysis identified regulator, hub, and moonlighting genes and highlighted CCNB1, ACTN2, BRCA1, IGF1, CDK1, AURKA, AURKB, and TOP2A in the HCV group and HSF1, HSPA1A, HSP90AA1, HSPB1, HSPA5, PTK2, and AURKB in the group without viral infection as hub genes. Immune infiltrate analysis showed that T cell, cytotoxic, and natural killer cell markers were significantly more highly expressed in HCV than in non-viral tumors. Genes associated with monocyte activation had the highest expression levels in HBV, while high expression of genes involved in primary adaptive immune response and complement receptor activity characterized tumors without viral infection. Conclusions: Our comprehensive study underlines the high degree of complexity of immune profiles in the analyzed groups, which adds to the heterogeneous HCC genomic landscape. The biomarkers identified in each HCC group might serve as therapeutic targets.

Macrophage GSK3β-deficiency inhibits the progression of hepatocellular carcinoma and enhances the sensitivity of anti-PD1 immunotherapy

BackgroundGlycogen synthase kinase 3β (GSK3β) was originally discovered to regulate glycogen synthesis and show a relationship to tumors. However, the biological functions of GSK3β in tumor-associated macrophages (TAMs) in cancers...

Serum lncRNAs, NBAT-1, and FOXCUT signature in hepatocellular carcinoma developed on top of chronic hepatitis C.

Hepatocellular Carcinoma (HCC) is a universal health problem responsible for 8.2% of all cancer deaths. Numerous risk factors were documented to be contributed to HCC development with viral hepatitis C ranking as the major predisposing factor in Egypt. The presence of a detectable amount of longnoncoding RNAs(lncRNAs) in the circulation is linked to the development and spread of tumors. LncRNAs NBAT-1 and FOXCUT expression levels were used as genetic markers for the detection of gastrointestinal tract cancers. We hypothesized that serum expression levels of NBAT-1 and FOXCUT are new biomarkers for HCC that are related to laboratory and pathological markers. This study included 165 hepatitis C virus (HCV)-related HCC Egyptian patients, 180 HCV-infected noncancer patients, and 180 healthy controls, the serum expression levels of NBAT-1 and FOXCUT were measured by using quantitative real-time polymerase chain reaction. This study's results include that medians (inter-quartile range[IQRs]) of NBAT-1 in HCC and HCV patients were (1.9 [0.87-4.94], 10.01 [7.34-13.29] respectively) which exhibited significantly higher expression than controls, while the medians (IQRs) of FOXCUT in HCC and HCV patients were (0.15 [0.04-0.52], 6.42 [2.49-10.10], respectively) that exhibited significantly lower expression than controls regarding HCC patients but significantly higher expression than controls regarding HCV patients. In comparing serum fold changes of NBAT-1 and FOXCUT between HCC patients and HCV patients; we obtained significantly higher levels of target genes in HCV patients (p < 0.001) than in HCC patients. Also, a positive correlation was detected between NBAT-1 and FOXCUT in HCC group (r = 0.262, p = 0.001) and in HCV group (r = 0.937, p < 0.001). Higher serum NBAT-1 and FOXCUT were significantly associated with better clinical and laboratory data of the disease. Multivariate regression analysis showed that FOXCUT was an independent predictor for HCC among HCV patients (p < 0.001). Our study cited that NBAT-1 and FOXCUT could be considered new diagnostic serum biomarkers for HCC on top of HCV.

Immunohistochemical expression of CB1 receptors in the liver of patients with HBV related-HCC

Background and aimsThe most common cause of hepatocellular carcinoma (HCC), which has a high death rate, is hepatitis B virus (HBV) infection. This study aimed to examine immunoexpression of CB1 receptors in the livers of patients with HBV-related HCC in comparison with HCC and chronic HBV as well as healthy people.Patients and methodsParticipants in this case-controlled study were patients with only HBV (HBV; 40), only HCC (HCC; 41), and HBV-related HCC (HBV + HCC; 40) and a healthy control group (C; 30). Tissue expression of CB1 at the protein level was studied using immunohistochemical methods. ResultsAll groups were significantly different in terms of expression of CB1 protein (P < 0.001). The expression levels of CB1 in the liver tissue of the HBV and C groups were not significantly different (P = 0.072). The expression levels of CB1 in the liver tissue of the HBV-related HCC and HCC groups had a statistically significant increase compared to the C and HBV groups (P < 0.001). Also, the CB1 expression levels in the liver tissues of HBV-related HCC and HCC groups were significantly different (P = 0.008). The sensitivity and specificity of immunohistochemistry tests in the diagnosis of HCC using CB1 were 63.4 and 91.2, respectively. Positive and negative predictive values were 90.0 % and 65.1 %, respectively. There was no relationship between the expression of CB1and other clinicopathological variables (P < 0.05). ConclusionThe present findings revealed a tumor promoting function of the CB1 receptor in HCC. CB1 is also a pathological valuable factor for identifying the pathway of inflammation during infection.

Oncogenic Wnt3a is a promising sensitive biomarker for monitoring hepatocarcinogenesis

BackgroundThe effective treatment for hepatocellular carcinoma (HCC) depends on early diagnosis. Previously, the abnormal expression of Wnt3a as the key signaling molecule in the Wnt/β-catenin pathway was found in HCC cells and could be released into the circulation. In this study, we used rat model of hepatocarcinogenesis to dynamically investigate the alteration of oncogenic Wnt3a and to explore its early monitor value for HCC. MethodsSprague-Dawley rats (SD) were fed with diet 2-fluorenylacetamide (2-FAA, 0.05%) for inducing hepatocarcinogenesis, and grouped based on liver morphological alteration by Hematoxylin & Eosin (H&E) staining; rats fed with normal chow were used as normal control (NC). Total RNA and protein were purified from rat livers. Differently expressed genes (DEGs) or Wnt3a mRNA, cellular distribution, and Wnt3a protein levels were analyzed by whole genome microarray with signal logarithm ratio (SLR log2cy5/cy3), immunohistochemistry, and enzyme-linked immunosorbent assay, respectively. ResultsModels of rat hepatocarcinogenesis were successfully established based on liver histopathological H&E staining. Rats were divided into the cell degeneration (rDeg), precancerosis (rPre-C) and HCC (rHCC) groups. Total numbers of the up- and down-regulated DEGs with SLR ≥ 8 were 55 and 48 in the rDeg group, 268 and 57 in the rPre-C group, and 312 and 201 in the rHCC group, respectively. Significantly altered genes were involved in cell proliferation, signal transduction, tumor metastasis, and apoptosis. Compared with the NC group, Wnt3a mRNA was increased by 4.6 folds (P < 0.001) in the rDeg group, 7.4 folds (P < 0.001) in the rPre-C group, and 10.4 folds (P < 0.001) in the rHCC group; the positive rates of liver Wnt3a were 66.7% (P = 0.001) in the rDeg group, 100% (P < 0.001) in the rPre-C group, and 100% (P < 0.001) in the rHCC group, respectively. Also, there were significant differences of liver Wnt3a (P < 0.001) or serum Wnt3a (P < 0.001) among different groups. ConclusionsOverexpression of Wnt3a was associated with rat hepatocarcinogenesis and it should be expected to be a promising monitoring biomarker for HCC occurrence at early stage.

Preliminary study on the expression of MIF in HCC tissues and its relationship with ERK1/2 signaling pathway

Objective: To investigate the expression of Macrophage migration-inhibitory factors (MIF) in hepatocellular carcinoma (HCC) tissues and its interaction with ERK1/2 signaling pathway, so as to establish a theoretical basis for further studying the molecular mechanism of MIF promoting HCC. Methods: From February 2020 to August 2021, 52 cases of hepatocellular carcinoma (HCC) tissues based on hepatitis B cirrhosis (HBV-LC) and 52 cases of adjacent tissues in Tianjin Medical University Cancer Hospital and 940th Hospital of Joint Logistic Support Force of PLA were collected as the experimental group, including 39 males and 13 females, aged 35-65 years. And 20 cases of normal liver tissue were selected as the control group. Immunohistochemistry was used to detect the expression of MIF, ERK1/2 and p-ERK1/2 proteins in liver tissues of the two groups, and in situ hybridization was used to detect the expression of ERK1/2 nucleic acid in liver tissues of the two groups.HepG2 HCC cells and L-02 normal hepatocytes were co-cultured with different concentrations of rMIF, the expression and phosphorylation levels of ERK1/2 and JNK1 proteins in the two kinds of liver cells were detected by Western-blot, and the expression levels of ERK1/2 nucleic acids in the two kinds of liver cells were detected by RT-PCR. One-way ANOVA was used for measurement data and χ2 test was used for counting data. Results: The expressions of MIF, ERK1/2, p-ERK1/2 and ERK1/2 mRNA were significantly increased in HCC and para-cancer tissues (the expression of MIF in HCC group was 78.8%, and that in adjacent group was 75.0%; ERK1/2 80.8% in HCC group and ERK1/2 71.8% in paracancerous group. The expression of p-ERK1/2 75.0 % in HCC group and 46.2% in paracancerous group were respectively detected. ERK1/2 mRNA was expressed in HCC group 76.9%, ERK1/2 mRNA expression in paracancerous group 78.8%), and the differences were statistically significant compared with normal liver tissues (P<0.05), but there was no significant difference between HCC and para-cancer tissues (P>0.05). The expressions of ERK1/2, p-ERK1/2 and ERK1/2 mRNA in HepG2 HCC cells were significantly increased with the increase of rMIF concentration, and the increase was most obvious when rMIF concentration was 200 ng/ml, and the difference was statistically significant compared with L-02 normal hepatocytes (P<0.05). Conclusion: MIF, ERK1/2 and p-ERK1/2 are highly expressed in HCC tissues and HepG2 HCC cells, suggesting that MIF promotes the occurrence and development of hepatocellular carcinoma through ERK1/2 signaling pathway.

Cytotoxic T Cell Expression of Leukocyte-Associated Immunoglobulin-Like Receptor-1 (LAIR-1) in Viral Hepatitis C-Mediated Hepatocellular Carcinoma.

Virus-related hepatocellular carcinoma (HCC) pathogenesis involves liver inflammation, therefore, despite successful treatment, hepatitis C virus (HCV) may progress to HCC from initiated liver cirrhosis. Cytotoxic T cells (Tcs) are known to be involved in HCV-related cirrhotic complications and HCC pathogenesis. The inhibitory checkpoint leukocyte-associated immunoglobulin-like receptor-1 (LAIR-1) is expressed on Tcs. Therefore, we aimed to determine whether the Tc expression level of LAIR-1 is associated with HCC progression and to evaluate LAIR-1 expression as a noninvasive biomarker for HCC progression in the context of liver cirrhosis related to HCV genotype 4 (G4) in Egyptian patients’ peripheral venous blood liquid biopsy. A total of 64 patients with HCC and 37 patients with liver cirrhosis were enrolled in this case-controlled study, and their LAIR-1 expression on Tc related to the progression of liver cirrhosis was examined and compared to that of the apparently healthy control group (n = 20). LAIR-1 expression was analyzed using flow cytometry. Results: The HCC group had significantly higher LAIR-1 expression on Tc and percentage of Tc positive for LAIR-1 (LAIR-1+Tc%) than the HCV G4-related liver cirrhosis group. LAIR-1+Tc% was correlated with the HCC surrogate tumor marker AFP (r = 0.367, p = 0.001) and insulin resistance and inflammation prognostic ratios/indices. A receiver operating characteristic (ROC) curve revealed that adding LAIR-1+Tc% to AFP can distinguish HCC transformation in the Egyptian patients’ cohort. Upregulated LAIR-1 expression on Tc could be a potential screening noninvasive molecular marker for chronic inflammatory HCV G4 related liver cirrhosis. Moreover, LAIR-1 expression on Tc may be one of the players involved in the progression of liver cirrhosis to HCC.

Autoantibody against Tumor-Associated Antigens as Diagnostic Biomarkers in Hispanic Patients with Hepatocellular Carcinoma.

Background: Tumor-associated antigens (TAAs) have been investigated for many years as potential early diagnosis tools, especially for hepatocellular carcinoma (HCC). Nonetheless, very few studies have focused on the Hispanic HCC group that may be associated with distinct etiological risk factors. In the present study, we investigated novel anti-TAA autoantibodies as diagnostic biomarkers for Hispanic HCC patients. Methods: Novel TAA targets were identified by the serological proteome analysis (SERPA) and from differentially expressed HCC driver genes via bioinformatics. The autoantibody levels were validated by enzyme-linked immunosorbent assay (ELISA). Results: Among 19 potential TAA targets, 4 anti-TAA autoantibodies were investigated as potential diagnostic biomarkers with significantly high levels in Hispanic HCC sera, including DNA methyltransferase 3A (DNMT3A), p16, Hear shock protein 60 (Hsp60), and Heat shock protein A5 (HSPA5). The area under the ROC curve (AUC) value of the single autoantibodies varies from 0.7505 to 0.8885. After combining all 4 autoantibodies, the sensitivity of the autoantibody panel increased to 75% compared to the single one with the highest value of 45.8%. In a separate analysis of the Asian cohort, autoantibodies against HSPA5 and p16 showed significantly elevated levels in HCC compared to normal healthy controls, but not for DNMT3A or HSP60. Conclusion: Anti-DNMT3A, p16, HSPA5, and HSP60 autoantibodies have the potential to be diagnostic biomarkers for Hispanic HCC patients, of which DNMT3A and HSP60 might be exclusive for Hispanic HCC diagnosis.

Effects of targeted-edited oncogenic insulin-like growth factor-1 receptor with specific-sgRNA on biological behaviors of HepG2 cells.

BACKGROUNDInsulin-like growth factor-1 receptor (IGF-1R) is over-expressed in hepatocellular carcinoma (HCC). However, the relationship between IGF-1R activation and HCC progression remains unidentified. AIMTo investigate the effects of editing IGF-1R on the biological features of HCC cells.METHODSImmunohistochemistry analyzed the expressions of IGF-1R and P-glyco protein (P-gp) in HCC tissues and their distal non-cancerous tissues (non-Ca). IGF-1R was edited with Crispr/Cas9 system, screened specific sgRNAs, and then transfected into HepG2 cells. CCK-8, scratch wound test detected cell proliferation, migration, invasion and transwell assays, respectively. Alterations of IGF-1R and P-gp were confirmed by Western blotting. Alterations of anti-cancer drug IC50 values were analyzed at the cell level. RESULTSThe positive rates of IGF-1R (93.6%, χ2 = 63.947) or P-gp (88.2%, χ2 = 58.448) were significantly higher (P < 0.001) in the HCC group than those (36.6% in IGF-1R or 26.9% in P-gp) in the non-Ca group. They were positively correlated between high IGF-1R and P-gp expression, and they were associated with hepatitis B virus infection and vascular invasion of HCC. Abnormal expressions of circulating IGF-1R and P-gp were confirmed and associated with HCC progression. Biological feature alterations of HCC cells transfected with specific sgRNA showed IGF-1R expression down-regulation, cell proliferation inhibition, cell invasion or migration potential decreasing, and enhancing susceptibility of HepG2 cells to anti-cancer drugs.CONCLUSIONEdited oncogenic IGF-1R was useful to inhibit biological behaviors of HepG2 cells.

Serum growth differentiation factor 15 levels as a marker for liver cirrhosis and hepatocellular carcinoma on top of liver cirrhosis

Background Cirrhosis is the 14th leading cause of mortality globally. Additionally, it is subclassified by clinical stage. Hepatocellular carcinoma (HCC) was reported to account for ~4.7% of patients with chronic liver disease in Egypt. Early detection and treatment are highly beneficial. Growth differentiation factor 15 (GDF-15) proteins are implicated in the infection, fibrosis, and apoptotic processes of the liver. GDF-15 mRNA is mostly found in the heart, kidney, and lungs, as well as in the liver. The adult liver expresses the greatest amounts of GDF-15 following surgical and pharmacological therapies that produce acute liver damage. Aim This study’s objective was to assess serum GDF-15 levels in individuals with cirrhosis of the liver and HCC on top of cirrhosis of the liver. Patients and methods We have recruited 90 people in three groups: group 1 comprised 35 patients with HCC, group 2 comprised 35 individuals having cirrhosis of the liver, and group 3 comprised 20 nonhepatic individuals who acted as controls. Results In the HCC group, alpha-fetoprotein (AFP) was significantly higher than in the cirrhosis group, and the cirrhosis group has significantly higher AFP than in the control group. In comparison with the cirrhosis group, and in comparison with the control group, the HCC group had a significant increase in GDF-15 level. Conclusions GDF-15 levels were substantially greater in individuals with HCC compared with patients with cirrhosis and healthy controls. It is more sensitive, specific, and accurate than AFP. Thus, we may regard GDF-15 as a new marker for the diagnosis of HCC.

Decreased expression of 3-hydroxybutyrate dehydrogenase 1 is a prognostic marker and promotes tumor progression in hepatocellular carcinoma.

Growing evidence indicates that altered metabolism represents the hallmark of hepatocellular carcinoma (HCC). The mitochondrial 3-hydroxybutyrate dehydrogenase 1 (BDH1) is a key catalytic enzyme in ketogenesis with unknown roles in HCC. Hundred and four tissue sample pairs (HCC tissues, n=104; matched normal tissues, n=104) were obtained and analyzed with immunohistochemical (IHC) staining to investigate the clinical and functional role and the diagnostic and prognostic value of BDH1 in HCC. In addition, RNA-Seq datasets from the Tumor Immune Estimation Resource (TIMER) (HCC group, n=371; normal group, n=50) and microarray datasets from the Gene Expression Omnibus (GEO) database (HCC tissues, n=1671; normal tissues, n=1479) were used to assess BDH1 expression in HCC. Several bioinformatic methods were performed to identify pathways regulated by BDH1. The IHC staining showed that BDH1 expression decreased in HCC tissues (n=69) compared with that in adjacent normal tissues (n=35, P<0.001). Low BDH1 expression was associated with advanced clinical stage (P=0.033) and vascular invasion (P=0.007). Moreover, ectopic expression of BDH1 reduced tumor proliferation and suppressed the migration and invasion of HCC cells in vitro. Therefore, our data suggest that BDH1 is a potentially valuable diagnostic biomarker and therapeutic target for HCC.

Flow cytometry assessment of monocyte subsets alteration in hepatocellular carcinoma post hepatitis C virus infection

Hepatocellular carcinoma (HCC) is assumed to be an immunogenic malignancy since 90% of cases develop in environments with ongoing inflammation. Monocyte subsets contribute to tumoral immunity. Most HCC patients are discovered at late stages, which lowers their survival chances. We aimed to determine whether altered frequency of monocyte subsets contribute to post hepatitis C virus infection-liver cirrhosis (HCV-LC) development to HCC. This cross-sectional study enrolled 105 patients classified as post HCV-HCC (n=72) and post HCV-LC (n=33) patients. The monocyte subsets frequency was assessed by flow-cytometry. There was a significant increase in intermediate monocytes and decrease in non-classical monocytes in HCC group when compared to the LC group (P = 0.001 and 0.006, respectively). Intermediate monocyte frequency was positively correlated with cholesterol and triglycerides (r = 0.296, P < 0.002 and r = 0.247, P < 0.011, respectively). The receiver operating characteristic (ROC) curve revealed that intermediate monocytes percentage at a cutoff ≥ 0.625% and non-classical monocytes percentage at a cutoff ≤ 0.61% differentiated between patients with HCV-LC and those with HCV-HCC with a sensitivity of 76.4% and 69.4%, respectively, while both revealed low specificity of 51.5%. According to logistic regression analysis, only the triglyceride level was found to be an independent risk factor for HCC development [OR =1.014 (11.001-1.026), P = 0.031]. Finally, we concluded that post-HCV-HCC is characterized by an upregulation of intermediate monocytes and a downregulation of non-classical monocytes when compared to Post-HCV-LC. Intermediate and non-classical monocytes frequency can aid to screening biomarkers for HCC development. Intermediate monocyte frequency may be linked to hyperlipemia. The level of triglycerides is proposed as an independent risk factor for HCC emergence.

Identification and Validation of an Inflammatory Response-Related Polygenic Risk Score as a Prognostic Marker in Hepatocellular Carcinoma.

Aims We hypothesized that the expression patterns of inflammatory response-related genes may be a potential tool for hepatocellular carcinoma (HCC) risk scoring. Background Inflammatory response plays a pivotal role in the pathogenesis of HCC. Objective To establish and validate a hallmark inflammatory response gene-based polygenic risk score as a prognostic tool in HCC. Methods We screened differentially expressed inflammatory response genes and established an inflammatory response-related polygenic risk score (IRPRS) in an HCC-related dataset. Patients with HCC were categorized into high- and low-risk groups according to the median IRPRS, and the overall survival between the two groups was compared. The IRPRS was validated in an independent external dataset. Tumor-infiltrating lymphocytes (TILs) in high- and low-risk groups were compared, and gene set enrichment analysis was performed to characterize high-risk HCC identified using this IRPRS. Results Four differentially expressed hallmark inflammatory response genes (CD14, AQP9, SERPINE1, and ITGA5) were identified to construct the IRPRS. Patients in the high-risk group had significantly shorter overall survival than those in the low-risk group in both the training set and the test set. Furthermore, the IRPRS remained an independent prognostic factor compared to the routine clinicopathological characteristics. Many cancer-related hallmark gene sets and TILs were significantly enriched in the high-risk group. Conclusions We established and validated a four-hallmark inflammatory response gene-based polygenic risk score, which could successfully divide patients with HCC into high-risk and low-risk groups. These two risk groups of HCC possess significantly distinct prognostic and biological characteristics.

Exosomal microRNA panel as a diagnostic biomarker in patients with hepatocellular carcinoma.

Background: Diagnostic tools for hepatocellular carcinoma (HCC) are critical for patient treatment and prognosis. Thus, this study explored the diagnostic value of the exosomal microRNA panel for HCC. Methods: Expression profiles of microRNAs in exosomes and plasma of HCC and control groups were assessed using microRNA microarray analysis. Reverse transcription-quantitative PCR was applied to evaluate the expression of candidate microRNAs in blood samples from 50 HCC patients, 50 hepatic cirrhosis patients, and 50 healthy subjects. The area calculated the diagnostic accuracy of the microRNAs and microRNA panel under the receiver operating characteristic curve (AUC). Results: MicroRNA microarray analysis revealed that there were more differentially expressed microRNAs in the exosome HCC group than plasma HCC group. Among the 43 differentially expressed microRNAs contained in both exosomes and plasma, we finally decided to testify the expression and diagnostic significance of microRNA-26a, microRNA-29c, and microRNA-199a. The results indicated that expression of the microRNA-26a, microRNA-29c, and microRNA-199a in both exosomes and plasma was significantly lower in HCC patients compared with hepatic cirrhosis and healthy group. Interestingly, exosomal microRNAs were substantially more accurate in diagnosing HCC than microRNAs and alpha-fetoprotein in plasma. Moreover, the exosomal microRNA panel containing microRNA-26a, microRNA-29c, and microRNA-199a showed high accuracy in discriminating HCC from healthy (AUC = 0.994; sensitivity 100%; specificity 96%) and hepatic cirrhosis group (AUC = 0.965; sensitivity 92%; specificity 90%). Conclusion: This study revealed that the exosomal microRNA panel has high accuracy in diagnosing HCC and has important clinical significance.

Quantitative analysis for detection and grading of hepatocellular carcinoma: Comparison of diffusion kurtosis imaging, intravoxel incoherent motion and conventional diffusion-weighted imaging.

The aim of the present study was to compare the diagnostic performance of the main parameters derived from diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM) and diffusion-weighted imaging (DWI) regarding the detection and grading of hepatocellular carcinoma (HCC). A total of 78 patients diagnosed with HCC by biopsy were prospectively enrolled in the present study, and underwent routine magnetic resonance imaging (MRI), DWI, IVIM, DKI and contrast-enhanced MRI prior to surgery. Measurements, including mean diffusivity (MD), mean diffusional kurtosis (MK), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f) and apparent diffusion coefficient (ADC), were compared with grading HCC using one-way ANOVA followed by the Student-Neuman-Keuls-q post-hoc test. Spearman's correlation coefficient was used to analyze the correlation between each parameter and pathological grade, while the diagnostic efficiency was evaluated using a receiver operating characteristic (ROC) curve. The 78 patients enrolled in the present study were grouped into highly (n=22), moderately (n=41) or poorly (n=15) differentiated HCC groups according to the criteria of Pathology and Genetics Tumors of the Digestive System. MK values differed significantly between different grades and decreased gradually with the degree of tumor differentiation. The MD, D and ADC values in the highly differentiated HCC group were significantly higher than those in the moderately or poorly differentiated HCC groups (all P<0.001), whereas no significant differences were observed in D* or f (P=0.502 and P=0.853, respectively). A significant correlation was observed between MK, MD, D and ADC, and HCC grades (r=0.705, r=0.570, r=0.423 and r=0.687, respectively). The comparison of the ROC curves of MK, MD, D, ADC, D* and f values for predicting highly differentiated HCC suggested that MK and D were the best indicators for predicting highly differentiated HCC, as the area under the ROC curve (AUC) of MK and D was significantly higher than that of ADC (Z=2.247 and 2.428, P=0.025 and 0.016, respectively), whereas non-statistically significant differences were observed in the AUC values between MK and D (Z=0.072; P=0.942). The DKI-derived MK and IVIM-derived D values had a similar diagnostic performance and were superior to ADC in discriminating the histological grade of HCC. In addition, the combination of MK and D values exhibited an improved diagnostic performance.

LncRNA HULC and miR-122 Expression Pattern in HCC-Related HCV Egyptian Patients

Hepatocellular carcinoma (HCC) is a highly prevalent malignancy. It is a common type of cancer in Egypt due to chronic virus C infection (HCV). Currently, the frequently used lab test is serum α-fetoprotein. However, its diagnostic value is challenging due to its low sensitivity and specificity. Genetic biomarkers have recently provided new insights for cancer diagnostics. Herein, we quantified Lnc HULC and miR-122 gene expression to test their potential in diagnosis. Both biomarkers were tested in the sera of 60 HCC patients and 60 with chronic HCV using real-time RT-PCR. miR-122 was highly expressed in HCV patients with a significant difference from the HCC group (p = 0.004), which points towards its role in prognosis value as a predictor of HCC in patients with chronic HCV. HULC was more highly expressed in HCC patients than in the HCV group (p = 0.018), indicating its potential use in screening and the early diagnosis of HCC. The receiver operating characteristic (ROC) curve analysis showed their reliable sensitivity and specificity. Our results reveal that miR-122 can act as a prognostic tool for patients with chronic HCV. Furthermore, it is an early predictor of HCC. LncRNA HULC can be used as an early diagnostic tool for HCC.

Construction and validation of a predictive model for hepatocellular carcinoma based on serum markers

BackgroundEarly hepatocellular carcinoma (HCC) detection with non-invasive biomarkers remains an unmet clinical need. We aimed to construct a predictive model based on the pre-diagnostic levels of serum markers to predict the early-stage onset of HCC.MethodsA total of 339 HCC patients (including 157 patients from Changzhou cohort and 182 patients from Wuxi cohort) were enrolled in our retrospective study. Levels of 25 baseline serum markers were collected. Propensity score matching (PSM) analysis was conducted to balance the distributions of patients’ gender, age, and the surveillance time between HCC group and control group. Then, Receiver operating characteristic (ROC) and Logistic regression analysis were performed to screen the independent predictive variables and construct a non-invasive predictive model. Subsequently, ROC curve and Kaplan–Meier (K–M) curve were used to evaluate the predictive values of the model. Clinical net benefit of the model was demonstrated by decision curve analysis (DCA) and clinical impact curve.ResultsFive independent predictive variables for HCC onset and two general characteristics of patients (age and gender) were incorporated into the score model. ROC and DCA curves showed that the score model had better predictive performance in discrimination and clinical net benefit compared with single variable or other score systems, with the area under the curve (AUC) of 0.890 (95% CI 0.856–0.925) in Changzhou cohort and 0.799 (95% CI 0.751–0.849) in Wuxi cohort. Meanwhile, stratification analysis indicated that the score model had good predictive values for patients with early tumor stage (AJCC stage I) or small tumors (< 2 cm). Moreover, the score of HCC patient began to increase at 30 months before clinical diagnosis and reach a peak at 6 months.ConclusionBased on this model, we could optimize the current risk stratification at an early stage and consider further intensive surveillance programs for high-risk patients. It could also help clinicians to evaluate the progression and predict the prognosis of HCC patients.

The presence of vessels encapsulating tumor clusters is associated with an immunosuppressive tumor microenvironment in hepatocellular carcinoma.

Recently, a distinct vascular pattern in hepatocellular carcinoma (HCC) called vessels encapsulating tumor-forming clusters (VETC) has received attention because of its association with poor prognosis. However, little is known about the mechanism by which VETC promotes an aggressive phenotype at the molecular level. In our study, the association between differences in stepwise signal intensity in the HB phase and molecular subtypes and somatic mutations associated with the immune microenvironment were investigated using the International Cancer Genome Consortium (ICGC) cohort (66 patients). To our knowledge, this is the first study to analyze the molecular patterns of VETC using RNA-Seq data. The VETC+ HCC group showed significantly lower overall survival and higher cumulative incidence of extrahepatic metastasis after curative hepatic resection than the VETC- HCC group. The VETC+ group exhibited molecular features indicative of lower immune activation than the VETC- group, suggesting that tumor cells in the VETC+ group were more likely to escape from the immune response, which could lead to the shorter OS (Overall survival) and higher risk of metastasis. On the other hand, gene expression levels of fibroblast growth factor receptors were upregulated in VETC+ HCC, suggesting that VETC+ HCC might benefit from lenvatinib treatment. Our results demonstrate that VETC+ HCC was associated with the suppression of tumor immune responses at the molecular level.