Early Hepatocellular Carcinoma Patients Research Articles

Identification of a pyroptosis-related long noncoding RNA signature for determining the prognosis and immune status of hepatocellular carcinoma patients.

Despite improvements in cancer screening and diagnosis, hepatocellular carcinoma (HCC) is still diagnosed at an advanced stage, and the prognosis is worse than that of early HCC patients. Therefore, better molecular markers and therapeutic targets in HCC are required. We investigated the predictive value of pyroptosis-related long noncoding RNAs (lncRNAs) in HCC and the effects of these lncRNAs on the immune microenvironment of HCC. RNA sequencing data of HCC patients were extracted from The Cancer Genome Atlas (TCGA) database to identify differentially expressed pyroptosis-related lncRNAs related to overall survival (OS). A model was established to verify the character of pyroptosis-associated lncRNAs in the tumor microenvironment, and their prognostic value was evaluated. A total of 721 PR lncRNAs were identified based on the analysis of the TCGA database. Univariate Cox analysis revealed 37 survival-related PRlncRNAs with prognostic values. As a result of least absolute shrinkage and selection operator (LASSO) regression analysis, 'ELFN-AS1', AC099850.3, AC073389.3, 'HPN-AS1', AC009283.1, and AL139289.1 showed prognostic value. Kaplan-Meier analysis indicated that the OS of the high-risk set was worse than those of the low-risk set in both the training and testing cohorts. Univariate and multivariate analyses revealed that the risk score was a better independent prognostic factor than the stage. The precision of the lncRNA signature was confirmed using receiver operating characteristic curve (ROC) analysis. Immuneand metabolism-related pathways were enriched in both the lowand high-risk groups. Gene set enrichment analysis suggested that the identified lncRNAs regulate HCC tumorigenesis and prognosis by modulating metabolism. Various algorithms were used to confirm the significant differences in immune cells between these 2 groups. These findings could contribute to the development and validation of favorable biomarkers, improve the prognosis and survival of HCC, and help in developed individualized treatment plans for HCC.

Aberrant fragmentomic features of circulating cell-free mitochondrial DNA enable early detection and prognosis prediction of hepatocellular carcinoma.

Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provides an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and high-risk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed a HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC = 0.8333, 0.8145 and 0.7958 for validation cohort, respectively). We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Oncofetal MCB1 Is a Functional Biomarker for HCC Personalized Therapy.

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal protein that is upregulated in the preneoplastic lesions and serum of early HCC patients. Functional studies reveal that MCB1 modulated p53 protein degradation to promote T-IC generation and drive HCC initiation. Furthermore, the MCB1/p53 axis is shown to determine the responses of hepatoma cells to conventional chemotherapeutics and predict transcatheter arterial chemoembolization (TACE) benefits in patients. Importantly, MCB1 can mediate sorafenib/lenvatinib resistance by downregulating two essential drug targets fibroblast growth factor receptor 1 (FGFR1) and vascular endothelial growth factor receptor 3 (VEGFR3) expression in a proteasome-dependent manner. Patient-derived tumor organoids (PDOs), patient-derived xenografts (PDXs), and patient cohorts analysis suggested that MCB1 levels in HCCs may determine the distinct responses to conventional therapeutics and targeted drugs. Furthermore, treatment of targeted drugs-resistant HCC with adeno-associated virus (AAV) targeting MCB1 or a proteasome inhibitor restores targeted drug response, suggesting their clinical significance in HCC combinational therapy. In conclusion, these findings demonstrate that MCB1 could act as a driver for HCC initiation, a contributor to drug resistance, and a biomarker for individualized HCC therapy.

Circulating microRNAs as biomarkers for stratifying different phases of liver cancer progression and response to therapy

Hepatocellular carcinoma (HCC) is the most common liver cancer and is among the leading causes of cancer-related death worldwide. There is no reliable biomarker for the early diagnosis of HCC. Circulating microRNAs (miRNAs) have attracted attention as potential biomarkers of disease. By small-RNA next-generation sequencing, the analysis of serum miRNAs led to the identification of molecular signatures able to discriminate advanced HCC from early HCC (n = 246); advanced HCC from CIRRHOSIS (n = 299); advanced HCC from HEALTHY (n = 320); HEALTHY from early HCC (n = 343); and HEALTHY from CIRRHOSIS (n = 414). Cirrhotic patients and early HCC patients exhibited similar serum miRNA profiles, yet a small number of miRNAs (n = 57) were able to distinguish these two classes of patients. A second objective of the study was to identify serum miRNAs capable of predicting the response to therapy in patients with advanced HCC. All patients were treated with sorafenib as first-line therapy: 24 were nonresponsive and 24 responsive. Analysis of circulating miRNAs revealed a 54 miRNAs signature able to separate the two subgroups. This study suggested that circulating miRNAs could be useful biomarkers for monitoring patients with liver diseases ranging from cirrhosis to advanced HCC and possibly predicting susceptibility to first-line treatment based on sorafenib.

Glycemic Burden and Clinical Outcomes of Early Stage Hepatocellular Carcinoma after Curative Treatment.

Early-stage hepatocellular carcinoma (HCC) is still difficult to cure for its high recurrence rate. This study aimed to examine whether glycemic burden management could be one way to improve outcomes of early-stage HCC. A total of 137 very early or early-stage HCC patients who underwent resection or ablation at Samsung Medical Center and had glycemic burden assessment were analyzed. Glycemic burden was assessed using hemoglobin A1c (HbA1c) level. Outcomes were recurrence and overall survival. Risks of recurrence and overall survival were compared according to glycemic burden using a cut-off point of 6.5% or two cut-off points of 6.0% and 7.5%. Overall, 51 (37.2%) patients experienced HCC recurrence. The adjusted hazard ratio (aHR) for recurrence comparing patients with HbA1c > 6.5% to those with HbA1c ≤ 6.5% was 2.66 (95% CI: 1.26-5.78). The risk of recurrence increased in a dose-dependent manner by glycemic burden; aHR for 6.0 < HbA1c ≤ 7.5%: 2.00 (95% CI: 0.78-5.55); aHR for HbA1c > 7.5%: 6.05 (95% CI: 2.31-17.5). Mortality was observed in 16 (11.7%) patients. The risk of mortality was higher for HbA1c > 6.5% than for HbA1c ≤ 6.5% (aHR: 2.33; 95% CI: 1.10-5.08). There was also a dose-response relationship between overall survival and glycemic burden. Glycemic burden assessed using HbA1c level was significantly associated with outcomes of early-stage HCC patients. Good glycemic control could be a therapeutic goal to improve clinical outcomes in these populations.

CTNNB1 Polymorphism (rs121913407) in Circulating Tumor DNA (ctDNA) in Egyptian Hepatocellular Carcinoma Patients: A Case Control Study

Abstract Background Hepatocellular carcinoma (HCC) represents the sixth most common cancer worldwide and the fourth in Egypt. Persistent inflammation and specific somatic mutations in driving genes play major role in the development of HCC. One of these somatic mutations is CTNNB1 mutations with subsequent activation of ß-catenin in HCC, associated with a risk of malignant transformation. In this study, we investigate the clinical utility of peripheral blood circulating tumor DNA (ctDNA) CTNNB1 SNP (rs121913407) (c.133T&amp;gt;C) in HCC patients compared to pathological chronic hepatitis C virus (HCV) patients and healthy controls. Aim of the Work The aim of this work is to study the clinical utility of peripheral blood ctDNA to assess CTNNB1 SNP (rs121913407) (C. 133T&amp;gt;C) in HCC patients and the results will be compared to findings in pathological (Chronic Hepatitis C virus patients) and healthy controls. Patients and Methods Case-control study at Ain Shams Centre for Organ Transplantation, Ain Shams University Hospitals, enrolling twenty-eight adult HCC patients (twelve early HCC patients and sixteen advanced HCC patients), ten patients with chronic hepatitis C as a pathological control group, and ten healthy controls, plasma were collected, and stored at -80 °C. Detection of mutations in the gene locus CTNNB1 rs121913407 (c.133T&amp;gt;C) was done by Real-time PCR. Results There was statistical significant difference between early and late cases of HCC as regards AFP, AST however, all of our studied cases (early and advanced HCC) in addition to HCV and healthy control groups were CTNNB1 wild (TT) genotype. Conclusions None of our recruited subjects showed CTNNB1 rs121913407 gene mutation. Further studies on larger number of patients are needed to clarify and confirm the clinical utility of CTNNB1 Polymorphism (rs121913407) in the pathogenesis of HCC related to HCV in Egyptian population.

A nomogram prognostic model for early hepatocellular carcinoma with diabetes mellitus after primary liver resection based on the admission characteristics.

Background: Patients diagnosed with early-stage hepatocellular carcinoma (HCC) and diabetes mellitus (DM) are at a higher risk of experiencing complications and facing increased mortality rates. Hence, it is crucial to develop personalized clinical strategies for this particular subgroup upon their admission. The objective of this study is to determine the key prognostic factors in early HCC patients who received liver resection combined with DM and develop a practical personalized model for precise prediction of overall survival in these individuals. Method: A total of 1496 patients diagnosed hepatitis B virus (HBV) - related liver cancer from Beijing You'an Hospital were retrospectively enrolled, spanning from 1 January 2014, to 31 December 2019, and ultimately, 622 eligible patients of hepatocellular carcinoma (HCC) patients with diabetes were included in this present investigation. A multivariate COX regression analysis was conducted to identify prognostic factors that are independent of each other and develop a nomogram. The performance of the nomogram was evaluated using various statistical measures such as the C-index, receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) in both the training and validation groups. Survival rates were estimated using the Kaplan-Meier method. Results: The study included a total of 622 early HCC patients who underwent liver resection combined with DM. Random Forrest model and Multivariate Cox regression analysis revealed that drinking, tumor number, monocyte-to-lymphocyte ratio, white blood cell count and international normalized ratio at admission were identified as independent prognostic factors for early HCC patients who underwent liver resection combined with DM. The nomogram demonstrated good predictive performance in the training and validation cohorts based on the C-index values of 0 .756 and 0 .739 respectively, as well as the area under the curve values for 3-, 5-, and 8-year overall survival (0.797, 0.807, 0.840, and 0.725, 0.791, 0.855). Calibration curves and decision curve analysis indicated high accuracy and net clinical benefit rates. Furthermore, the nomogram successfully stratified enrolled patients into low-risk and high-risk groups based on their risk of overall survival. The difference in overall survival between these two groups was statistically significant in both the training and validation cohorts (p < 0.0001 and p = 0.0064). Conclusion: Our results indicate that the admission characteristics demonstrate a highly effective ability to predict the overall survival of early HCC patients who have undergone liver resection in combination with DM. The developed model has the potential to support healthcare professionals in making more informed initial clinical judgments for this particular subgroup of patients.

Gene body hypomethylation of pyroptosis-related genes NLRP7, NLRP2, and NLRP3 facilitate non-invasive surveillance of hepatocellular carcinoma.

Programmed cell death (PCD) resistance is a key driver of cancer occurrence and development. The prognostic relevance of PCD-related genes in hepatocellular carcinoma (HCC) has attracted considerable attention in recent years. However, there is still a lack of efforts to compare the methylation status of different types of PCD genes in HCC and their roles in its surveillance. The methylation status of genes related to pyroptosis, apoptosis, autophagy, necroptosis, ferroptosis, and cuproptosis was analyzed in tumor and non-tumor tissues from TCGA. Whole-genome bisulfite sequencing (WGBS) data of paired tumor tissue and buffy coat samples were used to filter the potential interference of blood leukocytes in cell-free DNA (cfDNA). The WGBS data of healthy individuals' and early-stage HCC patients' cfDNA were analyzed to evaluate the distinguishing ability. The average gene body methylation (gbDNAme) of pyroptosis-related genes (PRGs) was significantly altered in HCC tissues relative to normal tissues, and their distinguishing ability was higher compared to the other types of PCD-related genes. The gbDNAme of NLRP7, NLRP2, and NLRP3 was reflective of the hypomethylation in HCC tissues, and methylation levels of NLRP3 correlated positively with its expression level (r=0.51). The candidate hypomethylated PRGs could discriminate between early HCC patients and healthy controls in cfDNA analysis with high accuracy (area under the receiver operation curve, AUC=0.94). Furthermore, the hypomethylation of PRGs was associated with poor prognosis of HCC. Gene body hypomethylation of PRGs is a promising biomarker for early HCC detection, monitoring of tumor recurrence, and prognosis prediction.

Metabolomics and network analysis uncovered profound inflammation-associated alterations in hepatitis B virus-related cirrhosis patients with early hepatocellular carcinoma

Patients with hepatitis B virus (HBV)-related liver cirrhosis (LC) are at high risk for hepatocellular carcinoma (HCC). Limitations in the early detection of HCC give rise to poor survival in this high-risk population. Here, we performed comprehensive metabolomics on health individuals and HBV-related LC patients with and without early HCC. Compared to non-HCC patients (N = 108) and health controls (N = 80), we found that patients with early HCC (N = 224) exhibited a specific plasma metabolome map dominated by lipid alterations, including lysophosphatidylcholines, lysophosphatidic acids and bile acids. Pathway and function network analyses indicated that these metabolite alterations were closely associated with inflammation responses. Using multivariate regression and machine learning approaches, we identified a five-metabolite combination that showed significant performances in differentiating early-HCC from non-HCC than α-fetoprotein (area under the curve values, 0.981 versus 0.613). At metabolomic levels, this work provides additional insights of metabolic dysfunction related to HCC progressions and demonstrates the plasma metabolites might be measured to identify early HCC in patients with HBV-related LC.

Should we change the treatment plan in early hepatocellular carcinoma with chronic kidney disease?

BackgroundChronic kidney disease (CKD) has been considered to be a poor prognostic factor for hepatocellular carcinoma (HCC). However, few studies have focused on early HCC and the impact of CKD on survival, which should be considered in curative treatment for early HCC.Materials and methodsPatients with BCLC stage 0/A were enrolled from 2009 to 2019. A total of 383 patients were divided into Control group and CKD group, based on estimated glomerular filtration rate. Overall survival (OS) and disease-free survival (DFS) of different treatments were determined using the Kaplan–Meier method.ResultsThe Control group had a significantly better OS than the CKD group (72.6 months vs. 56.7 months; p = 0.003). DFS was similar between the groups (62.2 months vs. 63.8 months, p = 0.717). In the Control group, the surgically treated (OP) group had significantly superior OS (65.0 months vs. 80.0 months, p = 0.014) and DFS (50.9 months vs. 70.2 months, p = 0.020) than the radiofrequency ablation-treated group. In the CKD group, the OP group showed a survival advantage in OS (70.6 months vs. 49.2 months, p = 0.004), while DFS was similar between treatment groups (56.0 months vs. 62.2 months, p = 0.097).ConclusionCKD should not be considered to be a poor prognostic factor in early HCC patients. Moreover, hepatectomy should be carried out in CKD patient with early HCC for better prognosis if feasible.

Circulating MiRNA-373 as a Predictor of Response to Super-selective Transarterial Chemoembolization Bridging Therapy in Hepatocellular Carcinoma Patients Awaiting Liver Transplantation.

Super selective transarterial chemoembolization (TACE) has emerged as a bridging therapy for early hepatocellular carcinoma (HCC) patients awaiting liver transplantation. This study aimed at assessing the expression profiles of circulating MiR-210 and MiR-373 as potential predictors of response to TACE bridging therapy in a group of Egyptian HCC cases on top of chronic hepatitis-C infection, awaiting liver transplantation. Fifty-three HCC cases awaiting liver transplantation referred for TACE, were followed up for three months, resulting in forty-five responders and eight non-responders based on modified response evaluation criteria in solid tumors (mRECIST). Circulating pre TACE MiR-210 and MiR-373 expressions were determined using reverse transcription quantitative polymerase chain reaction. Circulating pre TACE MiR-373, but not MiR-210, was significantly higher in non-responders than responders. Receiver operating characteristics (ROC) curve analysis of MiR-373, pre-TACE tumor volume, inflammatory score, and albumin bilirubin (ALBI) grade revealed highest sensitivity for pre-TACE tumor volume (cutoff>11.49 cm3) and highest specificity for pre-TACE MiR-373 (cutoff>1.46-fold change). Multivariate logistic regression revealed pre TACE MiR-373 as a significant independent predictor of TACE response after adjusting for pre TACE tumor volume. Circulating pre-TACE MiR-373 could assist as a noninvasive predictor marker of response to TACE bridging therapy in early HCC patients awaiting liver transplantation.

Significance of Identifying Key Genes Involved in HBV-Related Hepatocellular Carcinoma for Primary Care Surveillance of Patients with Cirrhosis.

Cirrhosis is frequently the final stage of disease preceding the development of hepatocellular carcinoma (HCC) and is one of the risk factors for HCC. Preventive surveillance for early HCC in patients with cirrhosis is advantageous for achieving early HCC prevention and diagnosis, thereby enhancing patient prognosis and reducing mortality. However, there is no highly sensitive diagnostic marker for the clinical surveillance of HCC in patients with cirrhosis, which significantly restricts its use in primary care for HCC. To increase the accuracy of illness diagnosis, the study of the effective and sensitive genetic biomarkers involved in HCC incidence is crucial. In this study, a set of 120 significantly differentially expressed genes (DEGs) was identified in the GSE121248 dataset. A protein-protein interaction (PPI) network was constructed among the DEGs, and Cytoscape was used to extract hub genes from the network. In TCGA database, the expression levels, correlation analysis, and predictive performance of hub genes were validated. In total, 15 hub genes showed increased expression, and their positive correlation ranged from 0.80 to 0.90, suggesting they may be involved in the same signaling pathway governing HBV-related HCC. The GSE10143, GSE25097, GSE54236, and GSE17548 datasets were used to investigate the expression pattern of these hub genes in the progression from cirrhosis to HCC. Using Cox regression analysis, a prediction model was then developed. The ROC curves, DCA, and calibration analysis demonstrated the superior disease prediction accuracy of this model. In addition, using proteomic analysis, we investigated whether these key hub genes interact with the HBV-encoded oncogene X protein (HBx), the oncogenic protein in HCC. We constructed stable HBx-expressing LO2-HBx and Huh-7-HBx cell lines. Co-immunoprecipitation coupled with mass spectrometry (Co-IP/MS) results demonstrated that CDK1, RRM2, ANLN, and HMMR interacted specifically with HBx in both cell models. Importantly, we investigated 15 potential key genes (CCNB1, CDK1, BUB1B, ECT2, RACGAP1, ANLN, PBK, TOP2A, ASPM, RRM2, NEK2, PRC1, SPP1, HMMR, and DTL) participating in the transformation process of HBV infection to HCC, of which 4 hub genes (CDK1, RRM2, ANLN, and HMMR) probably serve as potential oncogenic HBx downstream target molecules. All these findings of our study provided valuable research direction for the diagnostic gene detection of HBV-related HCC in primary care surveillance for HCC in patients with cirrhosis.

ARFIP2 Regulates EMT and Autophagy in Hepatocellular Carcinoma in Part Through the PI3K/Akt Signalling Pathway.

ARFIP2, a canonical BAR domain-containing protein, is closely associated with regulating cargo exit from the Golgi. However, the potential biological functions of ARFIP2 in hepatocellular carcinoma (HCC) have not been well investigated. This study aimed to explore the critical role of ARFIP2 in HCC cells. The expression of proteins related to epithelial to mesenchymal transition (EMT) and cell autophagy in HCC cells and tissues was assayed by quantitative real-time PCR, Western blotting, immunohistochemistry and immunofluorescence staining. The ability of cells to proliferate, migrate and invade was detected by Cell Counting Kit-8, Transwell migration and invasion assays. In addition, the function of ARFIP2 in vivo was assessed using a tumour xenograft model. ARFIP2 expression is significantly upregulated in early recurrent and metastatic HCC patients and was positively correlated with a poor prognosis. ARFIP2 overexpression promoted cell proliferation, migration, and invasion by inducing EMT and inhibiting autophagy in vitro. Furthermore, the regulatory effects of ARFIP2 on autophagy and EMT were partially attributed to its regulation of the PI3K/AKT signalling pathway. The in vivo results also showed that ARFIP2 modulates HCC progression. Our results substantiate a novel mechanism by which ARFIP2 can regulate the activity/phosphorylation of Akt to promote EMT and inhibit autophagy in part via the PI3K/Akt signalling pathway. The ARFIP2/PI3K/Akt axis may be a potential diagnostic biomarker and therapeutic target for HCC.

Variations in Textbook Oncologic Outcomes After Curative-Intent Resection: Early Versus Intermediate Hepatocellular Carcinoma Based on Barcelona Clinic Liver Cancer Criteria and Child-Pugh Classification.

The impact of early versus intermediate hepatocellular carcinoma (HCC) on short-term "optimal" outcomes remains ill-defined. This study sought to define the incidence of textbook oncologic outcomes (TOO), as well as toidentify factors associated with TOOamong patients with early versus intermediate HCC. Patients who underwent curative-intent liver resection for HCC (1998-2020) were identified from a multi-institutional database. Textbook oncologic outcome(TOO) was defined as negative surgical margins, no return to the operating room, no extended hospital stay, no severe complications, and no 90-day mortality or readmission. Patients were stratified as early HCC (BCLC 0 or BCLC A/Child-Pugh A) or intermediate HCC (BCLC A/Child-Pugh B or BCLC B). Multivariate logistic regression analysis was used to assess factors associated with TOO. Among 1383 patients, the overall incidence of TOO was 69.0%. Patients with intermediate HCC were less likely to achieve a TOO (early [71.6 %] vs. intermediate [60.1%]; p < 0.001). On multivariate analysis, factors associated with decreased odds of a TOO were high tumor burden (odds ratio [OR], 0.57; 95% confidence interval [CI], 0.33-1.00), high aspartate transaminase-platelet ratio index (APRI) (OR, 0.46; 95% CI, 0.30-0.70), Charlson Comorbidity Index (CCI) greater than 3 (OR, 0.67; 95% CI, 0.49-0.91), major liver resection (OR, 0.68; 95% CI, 0.52-0.90), and intermediate HCC (OR, 0.68; 95% CI, 0.50-0.93)(all p < 0.05). Notably, although high APRI, CCI greater than 3, and major liver resection contributed to lower odds of a TOO in early HCC, the only factor that adversely impacted TOO in intermediate HCC was high tumor burden. Patients with intermediate HCC and early HCC patients with liver dysfunction, comorbidities, or anextensive resection were less likely to achieve an "optimal" postoperativeoutcome.

Screening for Lipid-Metabolism-Related Genes and Identifying the Diagnostic Potential of ANGPTL6 for HBV-Related Early-Stage Hepatocellular Carcinoma.

Lipid metabolic reprogramming is one of the hallmarks of hepatocarcinogenesis and development. Therefore, lipid-metabolism-related genes may be used as potential biomarkers for hepatocellular carcinoma (HCC). This study aimed to screen for genes with dysregulated expression related to lipid metabolism in HCC and explored the clinical value of these genes. We screened differentially expressed proteins between tumorous and adjacent nontumorous tissues of hepatitis B virus (HBV)-related HCC patients using a Nanoscale Liquid Chromatography-Tandem Mass Spectrometry platform and combined it with transcriptomic data of lipid-metabolism-related genes from the GEO and HPA databases to identify dysregulated genes that may be involved in lipid metabolic processes. The potential clinical values of these genes were explored by bioinformatics online analysis tools (GEPIA, cBioPortal, SurvivalMeth, and TIMER). The expression levels of the secreted protein (angiopoietin-like protein 6, ANGPTL6) in serum were analyzed by ELISA. The ability of serum ANGPTL6 to diagnose early HCC was assessed by ROC curves. The results showed that serum ANGPTL6 could effectively differentiate between HBV-related early HCC patients with normal serum alpha-fetoprotein (AFP) levels and the noncancer group (healthy participants and chronic hepatitis B patients) (AUC = 0.717, 95% CI: from 0.614 to 0.805). Serum ANGPTL6 can be used as a potential second-line biomarker to supplement serum AFP in the early diagnosis of HBV-related HCC.

Cellular, Molecular and Proteomic Characteristics of Early Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers. Early detection/diagnosis is vital for the prognosis of HCC, whereas diagnosis at late stages is associated with very low survival rate. Early diagnosis is based on 6-month surveillance of the patient and the use of at least two imaging modalities. The aim of this study was to investigate diagnostic markers for the detection of early HCC based on proteome analysis, microRNAs (miRNAs) and circulating tumor cells (CTCs) in the blood of patients with cirrhosis or early or advanced HCC. We studied 89 patients with HCC, of whom 33 had early HCC and 28 were cirrhotic. CTCs were detected by real-time quantitative reverse transcription PCR and immunofluorescence using the markers epithelial cell adhesion molecule (EPCAM), vimentin, alpha fetoprotein (aFP) and surface major vault protein (sMVP). Expression of the five most common HCC-involved miRNAs (miR-122, miR-200a, miR-200b, miR-221, miR-222) was examined in serum using quantitative real time PCR (qRT-PCR). Finally, patient serum was analyzed via whole proteome analysis (LC/MS). Of 53 patients with advanced HCC, 27 (51%) had detectable CTCs. Among these, 10/27 (37%) presented evidence of mesenchymal or intermediate stage cells (vimentin and/or sMVP positive). Moreover, 5/17 (29%) patients with early HCC and 2/28 (7%) cirrhotic patients had detectable CTCs. Patients with early or advanced HCC exhibited a significant increase in miR-200b when compared to cirrhotic patients. Our proteome analysis indicated that early HCC patients present a significant upregulation of APOA2, APOC3 proteins when compared to cirrhotic patients. When taken in combination, this covers the 100% of the patients with early HCC. miR-200b, APOA2 and APOC3 proteins are sensitive markers and can be potentially useful in combination for the early diagnosis of HCC.

Prognostic stratification based on m5C regulators acts as a novel biomarker for immunotherapy in hepatocellular carcinoma.

BackgroundImmunotherapy is a promising anti-cancer strategy in hepatocellular carcinoma (HCC). However, a limited number of patients can benefit from it. There are currently no reliable biomarkers available to find the potential beneficiaries. Methylcytosine (m5C) is crucial in HCC, but its role in forecasting clinical responses to immunotherapy has not been fully clarified.MethodsIn this study, we analyzed 371 HCC patients from The Cancer Genome Atlas (TCGA) database and investigated the expression of 18 m5C regulators. We selected 6 differentially expressed genes (DEGs) to construct a prognostic risk model as well as 2 m5C-related diagnostic models.ResultsThe 1-, 3-, and 5-year area under the curve (AUC) of m5C scores for the overall survival (OS) was 0.781/0.762/0.711, indicating the m5C score system had an ideal distinction of prognostic prediction for HCC. The survival analysis showed that patients with high-risk scores present a worse prognosis than the patients with low-risk scores (p< 0.0001). We got consistent results in 6 public cohorts and validated them in Xiangya real-world cohort by quantitative real-time PCR and immunohistochemical (IHC) assays. The high-m5C score group was predicted to be in an immune evasion state and showed low sensitivity to immunotherapy, but high sensitivity to chemotherapy and potential targeted drugs and agents, such as sepantronium bromide (YM-155), axitinib, vinblastine and docetaxel. Meanwhile, we also constructed two diagnostic models to distinguish HCC tumors from normal liver tissues or liver cirrhosis.ConclusionIn conclusion, our study helps to early screen HCC patients and select patients who can benefit from immunotherapy. Step forwardly, for the less likely beneficiaries, this study provides them with new potential targeted drugs and agents for choice to improve their prognosis.

Metabolism-Related Gene Pairs to Predict the Clinical Outcome and Molecular Characteristics of Early Hepatocellular Carcinoma.

Simple SummaryAfter surgery, about 60–70% of early hepatocellular carcinoma patients suffer from relapse within 5 years, hindering long-term survival. Clinical and pathologic features cannot provide an accurate evaluation. We aimed to construct a stratification model from the metabolic aspect to predict the clinical outcome and reveal the molecular characteristics of different prognostic subgroups. An individualized metabolic signature of 10 gene pairs was developed from 250 early HCCs and validated in 311 samples from different datasets. The signature stratified early HCC cases one-by-one into two risk groups with different survival rates. The molecular characteristics of the two risk groups were analyzed by multi-omics data. The relationships with proliferation, immunity, and drug benefits were summarized. The signature was further validated in 47 institutional transcriptomic HCC samples and 101 public proteomic samples.Recurrence is the main factor affecting the prognosis of early hepatocellular carcinoma (HCC), which is not accurately evaluated by clinical indicators. The metabolic heterogeneity of HCC hints at the possibility of constructing a stratification model to predict the clinical outcome. On the basis of the relative expression orderings of 2939 metabolism-related genes, an individualized signature with 10 metabolism-related gene pairs (10-GPS) was developed from 250 early HCC samples in the discovery datasets, which stratified HCC patients into the high- and low-risk subgroups with significantly different survival rates. The 10-GPS was validated in 311 public transcriptomic samples from two independent validation datasets. A nomogram that included the 10-GPS, age, gender, and stage was constructed for eventual clinical evaluation. The low-risk group was characterized by lower proliferation, higher metabolism, increased activated immune microenvironment, and lower TIDE scores, suggesting a better response to immunotherapy. The high-risk group displayed hypomethylation, higher copy number alterations, mutations, and more overexpression of immune-checkpoint genes, which might jointly lead to poor outcomes. The prognostic accuracy of the 10-GPS was further validated in 47 institutional transcriptomic samples and 101 public proteomic samples. In conclusion, the 10-GPS is a robust predictor of the clinical outcome for early HCC patients and could help evaluate prognosis and characterize molecular heterogeneity.

High rates of treatment stage migration for early hepatocellular carcinoma and association with adverse outcomes: An Australian multicenter study.

Background and AimThe rate of contraindications to percutaneous ablation (PA) for inoperable early hepatocellular carcinoma (HCC) and subsequent outcomes is not well described. We investigated the prevalence and outcomes of inoperable early HCC patients with contraindications to PA, resulting in treatment stage migration (TSM).MethodsBarcelona Clinic Liver Cancer (BCLC) 0/A patients diagnosed between September 2013 and September 2019 across five hospitals were identified. Primary endpoint was proportion of BCLC 0/A HCCs with contraindications to PA. Secondary endpoints included overall survival (OS), local tumor control (LTC), and recurrence‐free survival (RFS). The causal effects of PA versus TSM were assessed using a potential outcome means (POM) framework in which the average treatment effects (ATEs) of PA were estimated after accounting for potential selection bias and confounding.ResultsTwo hundred twenty patients with inoperable BCLC 0/A HCC were identified. One hundred twenty‐two patients (55.5%) had contraindications to PA and received TSM therapy, 98 patients (44.5%) received PA. The main contraindication to PA was difficult tumor location (51%). Patients who received TSM therapy had lower median OS (2.4 vs 5.3 years), LTC (1.0 vs 4.8 years), and RFS (0.8 vs 2.9 years); P < 0.001, respectively, compared with PA. The ATE for PA versus TSM yielded an additional 1.11 years (P = 0.019), 2.45 years (P < 0.001), and 1.64 years (P < 0.001) for OS, LTC, and RFS, respectively. Three‐year LTC after PA was suboptimal (65%).ConclusionOur study highlights high rates of contraindication to PA in early HCCs, resulting in TSM and poorer outcomes. The LTC rate for PA appears suboptimal despite being considered as curative therapy. Both findings support the exploration of improved treatment options for early HCCs.

Reappraisal of the roles of alpha-fetoprotein in hepatocellular carcinoma surveillance using large-scale nationwide database and hospital-based information

Controversies over the use of alpha-fetoprotein (AFP) for detection of hepatocellular carcinoma (HCC) existed from guidelines. Using large-scale database and hospital-based information, we aimed to reappraise the role of AFP in HCC surveillance, including proportion of AFP elevation by stage of HCC, additional benefit of AFP in combination of ultrasonography (US) in the detection of early HCC, and survival in early HCC with high AFP levels. This retrospective study enrolled 43,437 patients from database of the Taiwan Cancer Registry (TCR) and 4250 patients from Kaohsiung Chang Gung Memorial Hospital (KCGMH) between January 2011 and December 2017. The HCC cases in KCGMH accounted for 9.8% of the total cases in the TCR. Among both nationwide database and hospital-based information, the proportion of early HCC patients with an AFP level of ≥20ng/mL was approximately 40%. In KCGMH, the proportion of patients with an AFP level of ≥20ng/mL and a virus-related (hepatitis B and C) etiology was around 41.7%; furthermore, among patients with early HCC, those with an AFP level of ≥20ng/mL had 4.7 years of median survival and 48.3% of the 5-year overall survival rate. By hospital electronic medical records review of early HCC cohort in KCGMH, approximately 10.9% of patients with AFP levels ≥20ng/mL had US-undetectable early HCC. This study suggested that AFP in combination with US would add an additional benefit as being a prompted role for detection of early HCC in patients with US-undetectable HCC.