Hepatocellular carcinoma (HCC), which accounts for about 90% of all primary liver cancer cases, is the fifth most common malignancy and the second leading cause of cancer-related mortality worldwide. This study aims to analyse the differential costs of HCC-related hospital admissions compared to the general population in Spain.

A retrospective multicenter study analyzed inpatient admissions from a Spanish national discharge database, covering 90% of hospitals between 2010 and 2022. HCC-related admissions were identified using ICD-9 and ICD-10 codes, while control admissions were selected from the general population in the same database without an HCC diagnosis. The direct hospitalization cost was included, covering medical examinations, procedures, medications, surgeries, personnel and equipment. Statistical methods, including nearest-neighbor matching, propensity score matching, and a generalized linear model, were used to estimate differential costs and to ensure comparability based on age, gender, and Charlson Comorbidity Index (CCI).

A total of 199,670 HCC-related hospital admissions and 200,000 control admissions were analyzed. Most HCC-related admissions involved male patients (78%) aged 66-85 years, with an average CCI of 5.18. HCC-related admissions incurred significantly higher costs, with an estimated differential cost of €1,303.68 using GLM, €1,804.25 via propensity score matching, and €1,767.77 using nearest-neighbor matching. Total costs per HCC admission ranged between €1,000 and €31,000.

HCC-related hospital admissions impose a significantly higher economic burden due to the complexity of care. Given the high mortality and resource utilization, advancements in early detection, treatment, and cost-effective interventions are needed to improve patient outcomes and reduce healthcare costs.

Hepatocellular carcinoma (HCC) is the most prevalent type of liver cancer and a leading cause of cancer-related deaths globally. The tumour microenvironment (TME) influences treatment response and prognosis, yet its heterogeneity remains unclear.

The unsupervised machine learning methods- agglomerative hierarchical clustering, Multi-Omics Factor Analysis with K-means++, and an autoencoder with K-means++ - stratified patients using microarray data from HCC samples. Immune deconvolution algorithms estimated the proportions of infiltrating immune cells across identified clusters.

Thirteen genes were found to influence HCC subtyping in both primary and validation datasets, with three genes-TOP2A, DCN, and MT1E-showing significant associations with survival and recurrence. DCN, a known tumour suppressor, was significant across datasets and associated with improved survival, potentially by modulating the TME and promoting an anti-tumour immune response.

The discovery of the 13 conserved genes is an important step toward understanding HCC heterogeneity and the TME, potentially leading to the identification of more reliable biomarkers and therapeutic targets. We have stratified and validated the liver cancer populations. The findings suggest further research is needed to explore additional factors influencing the TME beyond gene expression, such as tumour microbiome and stromal cell interactions.

Extrahepatic recurrence (EHR) is a significant negative prognostic factor in hepatocellular carcinoma (HCC). Although EHR is commonly observed in high-risk patients following HCC hepatectomy, its occurrence without concurrent intrahepatic HCC remains poorly understood. Therefore, this study aims to examine the clinical characteristics and risk factors associated with EHR in patients without intrahepatic HCC at diagnosis.

This study included 1066 treatment-naïve patients who underwent curative hepatectomy for HCC at four tertiary academic centers between January 2004 and December 2019. After excluding those with intrahepatic recurrence (IHR), concurrent EHR, or incomplete clinical records, 569 patients were included in the final analysis. Risk factors for EHR were assessed using multivariate Cox regression over a median follow-up period of 3.91 years.

Among the cohort, 38 patients developed EHR post-surgery without residual intrahepatic HCC, with a median follow-up of 1.04 years. These patients experienced earlier initial HCC recurrence than those without EHR (1.73 vs. 4.43 years). Multivariate analysis revealed significant associations between EHR and microvascular invasion (hazard ratio [HR]: 2.418, p = 0.020), tumor necrosis (HR: 2.592, p = 0.009), and initial tumor staging beyond the Milan criteria (HR: 3.008, p = 0.001). Moreover, Cox regression analysis revealed that EHR strongly correlated with decreased post-hepatectomy survival (HR: 14.044, p < 0.001). Cumulative EHR and survival rates were closely linked to the number of risk factors present.

EHR without detectable IHR is significant and warrants close monitoring in high-risk patients.

Existing models to predict recurrence-free survival (RFS) after hepatectomy for hepatocellular carcinoma (HCC) rely on static preoperative factors such as alpha-fetoprotein (AFP) and tumor burden score (TBS). These models overlook dynamic postoperative AFP changes, which may reflect evolving recurrence risk. We sought to develop a dynamic, real-time model integrating time-updated AFP values with TBS for improved recurrence prediction.

Patients undergoing curative-intent hepatectomy for HCC (2000-2023) were identified from an international, multi-institutional database with RFS as the primary outcome. AFP trajectory was monitored from preoperative to 6- and 12-month postoperative values, using time-varying Cox regression with AFP as a time-dependent covariate. The predictive accuracy of this time-updated model was compared with a static preoperative Cox model excluding postoperative AFP.

Among 1911 patients, AFP trajectories differed between recurrent and nonrecurrent cases. While preoperative AFP values were similar, recurrent cases exhibited higher AFP at 6 and 12 months. Multivariable analysis identified TBS (hazard ratio (HR):1.043 [95% confidence interval (CI): 1.002-1.086]; p = 0.039) and postoperative log AFP dynamics (HR:1.216 [CI 1.132-1.305]; p < 0.001) as predictors. Contour plots depicted TBS's influence decreasing over time, while postoperative AFP became more predictive. The time-varying Cox model was created to update RFS predictions continuously on the basis of the latest AFP values. The preoperative Cox model, developed with age, AFP, TBS, and albumin-bilirubin score, had a baseline C-index of 0.61 [0.59-0.63]. At 6 months, the time-varying model's C-index was 0.70 [0.67-0.73] versus 0.59 [0.56-0.61] for the static model; at 12 months, it was 0.70 [0.66-0.73] versus 0.56 [0.53-0.59]. The model was made available online ( https://nm49jf-miho-akabane.shinyapps.io/AFPHCC/ ).

Incorporating postoperative AFP dynamics into RFS prediction after HCC resection enhanced prediction accuracy over time, as TBS's influence decreased. This adaptive, time-varying model provides refined RFS predictions throughout follow-up.

Liver stiffness measurement (LSM) via vibration-controlled transient elastography accurately assesses fibrosis. We aimed to develop a universal risk score for predicting hepatocellular carcinoma (HCC) development in patients with chronic hepatitis.

We systematically selected predictors and developed the risk prediction model (HCC-LSM) in the hepatitis B virus (HBV) training cohort (n = 2251, median follow-up of 3.2 years). The HCC-LSM model was validated in an independent HBV validation cohort (n = 1191, median follow-up of 5.7 years) and a non-viral chronic liver disease (CLD) extrapolation cohort (n = 1189, median follow-up of 3.3 years). An HCC risk score was then constructed based on a nomogram. An online risk evaluation tool Liver Elastography-Based Hepatocellular Carcinoma Risk Score (LEBER) was developed using ChatGPT4.0.

Eight routinely available predictors were identified, with LSM levels showing a significant dose-response relationship with HCC incidence (P < .001 by log-rank test). The HCC-LSM model exhibited excellent predictive performance in the HBV training cohort (C-index = 0.866) and the HBV validation cohort (C-index = 0.852), with good performance in the extrapolation CLD cohort (C-index = 0.769). The model demonstrated significantly superior discrimination compared to 6 previous models across the 3 cohorts. Cut-off values of 87.2 and 121.1 for the HCC-LSM score categorized participants into low-, medium-, and high-risk groups. An online public risk evaluation tool (LEBER; http://ccra.njmu.edu.cn/LEBER669.html) was developed to facilitate the use of HCC-LSM.

The accessible, reliable risk score based on LSM accurately predicted HCC development in patients with chronic hepatitis, providing an effective risk assessment tool for HCC surveillance strategies.

Immune checkpoint inhibitors (ICIs) combined with anti-vascular endothelial growth factor (VEGF) have been the standard first-line treatment of hepatocellular carcinoma (HCC). However, the efficacy of this combination in post-line treatment is still unknown. This study aimed to evaluate the efficacy and safety of the combination of anti-PD-L1 envafolimab and novel humanized anti-VEGF suvemcitug as second-line treatment for patients with HCC.

This open-label, prospective phase II clinical study (NCT05148195) comprised safety run-in stage and dose expansion stage of HCC cohort. Eligible patients were aged ≥ 18 years and had undergone at least a prior line of treatment. Patients received fixed-dose envafolimab and suvemcitug until termination of disease progression, unacceptable toxicities, or withdrawal. The primary endpoint of safety run-in stage was recommended dose (RD), and dose expansion stage was objective response rate (ORR).

As of August 10, 2023, no dose-limiting toxicity was observed in six patients in the safety-run-in stage, and 2 mg/kg dose every 3 weeks was declared the RD of suvemcitug. Among 20 patients with HCC, the median age was 54.5 (range, 42-70) years. Of these patients, 20 (100.0%) received ≥ one prior line treatment, with 20 (100%) received tyrosine kinase inhibitor (TKI) treatment and 8 (40.0%) received prior ICI treatment. The ORR was 10.0% (95% confidence interval (CI), 1.2-31.7), DCR was 65.0% (95% CI, 40.8-84.6), and DoR was not reached (NR). With a median follow-up of 13.9 months, the median progression-free survival (PFS) and median overall survival (OS) were 4.3 months (95% CI, 1.4-8.1) and 10.7 months (95% CI, 6.0-not evaluable [NE]), respectively. Treatment-related adverse events (TRAEs) of grade ≥ 3 occurred in 40% patients, with proteinuria (20.0%, 4/20) being the most frequent. The ORR of no lung metastasis, prior first-line treatment and IO naïve treatment subgroup was 16.7%.

The combination of envafolimab and suvemcitug showed a tolerable safety profile and promising antitumor activity in HCC patients who failed later-line treatment.

Immune checkpoint inhibitors (ICIs) are playing a significant role in the treatment of hepatocellular carcinoma (HCC). This study aims to explore the prognostic value of alpha-fetoprotein (AFP) and initial tumor shape irregularity in patients treated with ICIs.

In this retrospective, multi-center study, 296 HCC patients were randomly divided into the training set and the validation set in a 3:2 ratio. The training set was used to evaluate prognostic factors and to develop an easily applicable ATSI (AFP and Tumor Shape Irregularity) score, which was verified in the validation set.

The ATSI score was developed from two independent prognostic risk factors: baseline AFP ≥ 400 ng/ml (HR 1.73, 95% CI 1.01-2.96, P = 0.046) and initial tumor shape irregularity (HR 1.94, 95% CI 1.03-3.65, P = 0.041). The median overall survival (OS) was not reached (95% CI 28.20-NA) in patients who met no criteria (0 points), 25.8 months (95% CI 14.17-NA) in patients who met one criterion (1 point), and 17.03 months (95% CI 11.73-23.83) in patients who met two criteria (2 points) (P = 0.001). The median progression-free survival (PFS) was 10.83 months (95% CI 9.27-14.33) for 0 points, 8.03 months (95% CI 6.77-10.57) for 1 point, and 5.03 months (95% CI 3.83-9.67) for 2 points (P < 0.001). The validation set effectively verified these results (median OS, 37.43/24.27/14.03 months for 0/1/2 points, P = 0.028; median PFS, 13.93/8.30/4.90 months for 0/1/2 points, P < 0.001).

The ATSI score can effectively predict prognosis in HCC patients receiving ICIs.

Many guidelines for hepatocellular carcinoma (HCC) have been published and are regularly updated worldwide. HCC management involves a broad range of treatment options and requires multidisciplinary care, resulting in significant heterogeneity in management practices across international communities. To support standardized care for HCC, we systematically appraised 13 globally recognized guidelines and expert consensus statements, including five from Asia, four from Europe, and four from the United States. These guidelines share similarities but reveal notable discrepancies in surveillance strategies, treatment allocation, and other recommendations. Geographic differences in tumor biology (e.g., prevalence of viral hepatitis, alcohol-related liver disease, or metabolic dysfunction-associated steatotic liver disease) and disparities in available medical resources (e.g., organ availability, healthcare infrastructure, and treatment accessibility) complicate the creation of universally applicable guidelines. Previously, significant gaps existed between Asian and Western guidelines, particularly regarding treatment strategies. However, these differences have diminished over the years. Presently, variations are often more attributable to publication dates than to regional differences. Nonetheless, Asia-Pacific experts continue to diverge from the Barcelona Clinic Liver Cancer system, particularly with respect to surgical resection and locoregional therapies, which are viewed as overly conservative in Western guidelines. Advancements in systemic therapies have prompted ongoing updates to these guidelines. Given that each set of guidelines reflects distinct regional characteristics, strengths, and limitations, fostering collaboration and mutual complementarity is essential for addressing discrepancies and advancing global HCC care.

Despite the extensive research on hepatocellular carcinoma (HCC) exploring various treatment strategies, the survival outcomes have remained unsatisfactory. The aim of this research was to evaluate the ability of machine learning (ML) methods in predicting the survival probability of HCC patients. The study retrospectively analyzed cases of patients with stage 1-4 HCC. Demographic, clinical, pathological, and laboratory data served as input variables. The researchers employed various feature selection techniques to identify the key predictors of patient mortality. Additionally, the study utilized a range of machine learning methods to model patient survival rates. The study included 393 individuals with HCC. For early-stage patients (stages 1-2), the models reached recall values ​​of up to 91% for 6-month survival prediction. For advanced-stage patients (stage 4), the models achieved accuracy values ​​of up to 92% for 3-year overall survival prediction. To predict whether patients are ex or not, the accuracy was 87.5% when using all 28 features without feature selection with the best performance coming from the implementation of weighted KNN. Further improvements in accuracy, reaching 87.8%, were achieved by applying feature selection methods and using a medium Gaussian SVM. This study demonstrates that machine learning techniques can reliably predict survival probabilities for HCC patients across all disease stages. The research also shows that AI models can accurately identify a high proportion of surviving individuals when assessing various clinical and pathological factors.

Hepatocellular carcinoma (HCC) is an aggressive primary liver malignancy often diagnosed at an advanced stage, resulting in a poor prognosis. Accurate risk stratification and early detection of HCC are critical unmet needs for improving outcomes. Several blood-based biomarkers and imaging tests are available for early detection, prediction, and monitoring of HCC. However, serum protein biomarkers such as alpha-fetoprotein have shown relatively low sensitivity, leading to inaccurate performance. Imaging studies also face limitations related to suboptimal accuracy, high cost, and limited implementation. Recently, liquid biopsy techniques have gained attention for addressing these unmet needs. Liquid biopsy is non-invasive and provides more objective readouts, requiring less reliance on healthcare professional's skills compared to imaging. Circulating tumor cells, cell-free DNA, and extracellular vesicles are targeted in liquid biopsies as novel biomarkers for HCC. Despite their potential, there are debates regarding the role of these novel biomarkers in the HCC care continuum. This review article aims to discuss the technical challenges, recent technical advancements, advantages and disadvantages of these liquid biopsies, as well as their current clinical application and future directions of liquid biopsy in HCC.

This study aimed to investigate the role of the autophagy-related long noncoding RNA (lncRNA) MIR210HG in hepatocellular carcinoma and its potential as a therapeutic target.

LncRNA MIR210HG expression and its correlation with survival outcomes in hepatocellular carcinoma patients were analyzed using data from The Cancer Genome Atlas (TCGA). Kaplan-Meier and Cox regression analyses were conducted to assess survival correlations. Quantitative reverse transcription PCR was used to measure lncRNA MIR210HG expression in liver cancer cells and normal liver cells. Functional assays, including CCK-8, Transwell, flow cytometry, and western blot, were performed to evaluate the effects of lncRNA MIR210HG on cell proliferation, invasion, apoptosis, and autophagy in hepatocellular carcinoma.

Elevated lncRNA MIR210HG expression correlated with poor overall survival in hepatocellular carcinoma patients. LncRNA MIR210HG expression was significantly up-regulated in hepatocellular carcinoma cells compared to normal liver cells. Knockdown of lncRNA MIR210HG inhibited cell proliferation and autophagy, while promoting apoptosis in hepatocellular carcinoma cells, findings that were confirmed through both in vitro and in vivo studies.

The findings suggest that lncRNA MIR210HG contributes to hepatocellular carcinoma progression by regulating autophagy and could serve as a promising therapeutic target in hepatocellular carcinoma treatment strategies.

Improvements in the clinical diagnostic use of magnetic resonance imaging (MRI) for the identification of liver disorders have been made possible by gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA). Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) technology is in high demand.

The purpose of the study is to segment the liver using an enhanced multi-gradient deep convolution neural network (EMGDCNN) and to identify and categorize a localized liver lesion using a Gd-EOB-DTPA-enhanced MRI.

We provided the classifier images of the liver in five states (unenhanced, arterial, portal venous, equilibrium, and hepatobiliary) and labeled them with localized liver diseases (hepatocellular carcinoma, metastasis, hemangiomas, cysts, and scarring). The Shanghai Public Health Clinical Center ethics committee recruited 132 participants between August 2021 and February 2022. Fisher's exact test analyses liver lesion Gd-EOB-DTPA-enhanced MRI data.

Our method could identify and classify liver lesions at the same time. On average, 25 false positives and 0.6 real positives were found in the test instances. The percentage of correct answers was 0.790. AUC, sensitivity, and specificity evaluate the procedure. Our technique outperforms others in extensive testing.

EMGDCNN may identify and categorize a localized hepatic lesion in Gd-EOB-DTPA-enhanced MRI. We found that one network can detect and classify. Radiologists need higher detection capability.

Necroptosis, a recently identified mechanism of programmed cell death, exerts significant influence on various aspects of cancer biology, including tumor cell proliferation, stemness, metastasis, and immunosuppression. However, the role of necroptosis-related genes (NRGs) in Hepatocellular Carcinoma (HCC) remains elusive.

In this study, we assessed the mutation signature, copy number variation, and expression of 37 NRGs in HCC using the TCGA-LIHC dataset. We further validated our results using the ICGC-LIRI-JP dataset. To construct our prognostic model, we utilized the least absolute shrinkage and selection operator (LASSO), and evaluated the predictive efficacy of the NRGs-score using various machine learning algorithms, including K-M curves, time-ROC curves, univariate and multivariate Cox regression, and nomogram. In addition, we analyzed immune infiltration using the CIBERSOFT and ssGSEA algorithms, calculated the stemness index through the one-class logistic regression (OCLR) algorithm, and performed anti-cancer stem cells (CSCs) drug sensitivity analysis using oncoPredict. Finally, we validated the expression of the prognostic NRGs through qPCR both in vitro and in vivo.

About 18 out of 37 NRGs were found to be differentially expressed in HCC and correlated with clinical outcomes. To construct a prognostic model, six signature genes (ALDH2, EZH2, PGAM5, PLK1, SQSTM1, and TARDBP) were selected using LASSO analysis. These genes were then employed to categorize HCC patients into two subgroups based on NRGs-score (low vs. high). A high NRGs score was associated with a worse prognosis. Furthermore, univariate and multivariate Cox regression analyses were performed to confirm the NRGs-score as an independent risk factor. These analyses revealed strong associations between NRGs-score and critical factors, such as AFP, disease stage, and tumor grade in the HCC cohort. NRGs-score effectively predicted the 1-, 3-, and 5-year survival of HCC patients. Immune infiltration analysis further revealed that the expression of immune checkpoint molecules was significantly enhanced in the high NRGs-score group. Stemness analysis in the HCC cohort showed that NRGs-score was positively correlated with mRNA stemness index, and patients with high NRGs-score were sensitive to CSCs inhibitors. The findings from the external validation cohort provided confirmation that the NRGs-score presented a trait with universal applicability in accurately predicting the survival of HCC. Additionally, the six prognostic genes were consistently differentially expressed in both the HCC cell line and the mouse HCC model.

Our study demonstrated the pivotal role of NRGs in promoting stemness and immune suppression in HCC and established a robust model which could successfully predict HCC prognosis.

The rising incidence of hepatocellular carcinoma (HCC) is a global problem. Several approved treatments, including immune therapy and multi-tyrosine kinase inhibitors, are used for treatment, although the results are not optimum. There is an unmet need to develop highly effective chemotherapies for HCC. Targeting multiple pathways to attack cancer cells is beneficial. Cabozantinib is an orally available bioactive multikinase inhibitor and has a modest effect on HCC treatment. Silmitasertib is an orally bioavailable, potent CK2 inhibitor with a direct role in DNA damage repair and is in clinical trials for other cancers. In this study, we planned to repurpose these existing drugs on HCC treatment. We observed a stronger antiproliferative effect of these two combined drugs on HCC cells generated from different etiologies as compared to the single treatment. Global RNA-seq analyses revealed a decrease in the expression of G2/M cell cycle transition genes in HCC cells following combination treatment, suggesting G2 phase cell arrest. We observed G2/M cell cycle phase arrest in HCC cells upon combination treatment compared to the single-treated or vehicle-treated control cells. The downregulation of CCNA2 and CDC25C following combination therapy further supported the observation. Subsequent analyses demonstrated that combination treatment inhibited 70 kDa ribosomal protein S6 kinase (p70S6K) phosphorylation, and increased Bim expression. Apoptosis of HCC cells were accompanied by increased poly (ADP-ribose) polymerase cleavage and caspase-9 activation. Next, we observed that a combination therapy significantly delayed the progression of HCC xenograft growth as compared to vehicle control. Together, our results suggested combining cabozantinib and silmitasertib would be a promising treatment option for HCC.

Hepatocellular carcinoma (HCC) is a leading cause of mortality worldwide. Huachansu (Cinobufacini) is active extract isolated from the dry skin of Bufo Bufo gargarizans. It has now been widely used in clinical treatment of cancer, this study is to clarify the material basis of down-regulation of thymidylate synthase (TYMS) induced by Huachansu.

Our study utilized UPLC-MS/MS to identify major bioactive components from Huachansu. Cell Counting Kit 8 (CCK-8) assay and clone formation assay were used to examine the cell viability of tumor cells. TYMS and γ-H2AX level were detected by using quantitative real-time RT-PCR and/or western blotting. Small interfering RNA (siRNA) transfection was used to explore whether inhibition of TYMS could enhance the suppressive effect of Huachansu on cell growth of HCC cells.

In our study, firstly, we identify 21 major bioactive components from Huachansu. CCK-8 assay results showed that Huachansu and its bioactive bufadienolides (Bufalin, Bufotalin, Cinobufotalin, Desacetylcinobufagin, Arenobufagin, Telocinobufagin, and Resibufogenin) significantly inhibited the proliferation of HepG2 and SK-HEP-1 cells in a dose- and time-dependent manner. Further molecular mechanistic investigation demonstrates that Huachansu significantly suppresses thymidylate synthase (TYMS), the enzyme which provides the sole de novo source of thymidylate for DNA synthesis. The inhibition of TYMS could lead to cell-cycle block and DNA damage of HCC cells. Furthermore, we identified that Huachansu markedly increased γ-H2AX expression, which indicated the presence of DNA damage. Moreover, we confirmed that transfection of cells with small interfering RNA specific to TYMS could increase the suppressive effects of Huachansu on the HCC cells proliferation. Quantitative RT-PCR analysis showed that Huachansu treatment had no effect on the transcription level of TYMS. Furthermore, proteasomal inhibitor MG132 could block TYMS inhibition induced by Huachansu, and concomitant administration of protein synthesis inhibitor cycloheximide (CHX) with Huachansu could further suppress the protein level of TYMS, indicating that Huachansu promotes proteasome-dependent degradation of TYMS in liver cancer cells. More importantly, the bioactive bufadienolides of Huachansu such as Bufalin, Bufotalin, Cinobufotalin, Desacetylcinobufagin, Arenobufagin, Telocinobufagin, and Resibufogenin could also significantly restrain the protein level of TYMS, revealing the material basis of inhibition of TYMS exposed to Huachansu. 5-Fluorouracil (5-FU) is a TYMS inhibitor, we also evaluate the effects of the combined treatment of Huachansu with 5-FU, the results show that interactions between Huachansu and 5-FU are synergistic or antagonistic. Thus, in clinical, attention should be paid to the dosage of Huachansu in combination with 5-FU.

Huachansu inhibits the growth and induces DNA damage of human HCC cells through proteasome-dependent degradation of TYMS, bioactive bufadienolides are the material basis of down-regulation of TYMS induced by Huachansu.

This study aims to examine the impact of sociodemographic and clinical factors on hepatocellular carcinoma (HCC) mortality in New South Wales (NSW), Australia.

We conducted a 15-year retrospective study (2001-2015) using data linkage of health records and cancer registry databases, to identify all HCC cases and analyse HCC-related and all-cause mortality rates. Location-based socioeconomic status (SES) was determined using the Socioeconomic Indexes for Areas (SEIFA). Multivariable Cox regression analysis was used to determine the effect of key variables on mortality.

5564 cases of HCC were diagnosed during the study period. A study cohort of 5454 cases was analysed after excluding cases with key missing data. More than half of the chronic liver disease cases were due to non-viral causes. During the study period, 4033 deaths occurred, of which 2862 were HCC-related. The median survival time for HCC-related deaths was 547 days, and the 5-year survival rate was 31.3 %. Higher HCC-related mortality rates were observed in SEIFA quintiles 2, 3 and 4, when compared to 5 (where SEIFA 1 is most disadvantaged, and SEIFA 5 is most advantaged). Furthermore, significantly increased HCC-related mortality was observed for those aged ≥65, male gender, Australian-born, hospitalisation due to complications of alcohol use, having metastatic HCC at diagnosis, and not receiving surgery for HCC.

There is higher prevalence of non-viral-related HCC than viral-related HCC in NSW, Australia, where HCC-related mortality risk is greatest among those Australian-born and lower to higher SES, when compared to highest SES. Identifying factors contributing to these emerging disparities is crucial for developing effective prevention programs and allocating research and health resources.

Several studies have shown a higher risk of liver cancer from indeterminate liver nodules, but the exact occurrence and predictors of liver cancer in this group are still unclear. Our aim is to study the development of liver cancer in this population and identify any potential risk factors.

This retrospective study evaluated cirrhotic patients with indeterminate liver nodules from 2013 to 2023.Data from electronic patient records was analyzed to assess the association between HCC and baseline factors. Subgroup exploratory analysis compared characteristics of patients with de novo HCC and those with nodule transformation HCC.

Out of 116 patients with liver nodules, 19 (16%) developed HCC in up to 7.5-year follow-up. Univariate Cox regression analysis showed a significant association between HCC incidence and smoking [hazard ratio (HR) 2.60, 95% Confidence Interval [CI] 1.01-6.74), nodule diameter exceeding 2 cm (HR 5.41, 95% CI 1.45-20.18), and baseline LI-RADS score 3 (HR 3.78, 95% CI 1.36-19.52). Multivariate Cox regression analysis revealed significant independent associations with nodule diameters 1 cm to < 2 cm (adjusted HR 3.35, 95% CI 1.06-10.60) and greater than 2 cm (adjusted HR 5.85, 95% CI 1.10-31.16), as well as with LI-RADS 3 lesions (adjusted HR 3.75, 95% CI 1.16-12.11) with adjusting other potential predictors and covariates.

Our findings show a higher incidence of HCC in patients with indeterminate liver nodules, increasing over time and reaching 30% at seven years. Nodules larger than 1-2 cm or LI-RADS 3 lesions pose increased risk for HCC. Enhanced surveillance is necessary given the lack of clear management guidelines.

In recent years, the influence of specific biomarkers in the diagnosis and prognosis of solid organ malignancies has been increasingly prominent. The relevance of the use of predictive biomarkers, which predict cancer response to specific forms of treatment provided, is playing a more significant role than ever before, as it affects diagnosis and initiation of treatment, monitoring for efficacy and side effects of treatment, and adjustment in treatment regimen in the long term. In the current review, we explored the use of predictive biomarkers in the treatment of solid organ malignancies, including common cancers such as colorectal cancer, breast cancer, lung cancer, prostate cancer, and cancers associated with high mortalities, such as pancreatic cancer, liver cancer, kidney cancer and cancers of the central nervous system. We additionally analyzed the goals and types of personalized treatment using predictive biomarkers, and the management of various types of solid organ malignancies using predictive biomarkers and their relative efficacies so far in the clinical settings.

Before implementing a biomarker in routine clinical care, it must demonstrate clinical utility by leading to clinical actions that positively affect patient-relevant outcomes. Randomly controlled early detection utility trials, especially those targeting mortality endpoint, are challenging due to their high costs and prolonged duration. Special design considerations are required to determine the clinical utility of early detection assays. This commentary reports on discussions among the National Cancer Institute's Early Detection Research Network investigators, outlining the recommended process for carrying out single-organ biomarker-driven clinical utility studies. We present the early detection utility studies in the context of phased biomarker development. We describe aspects of the studies related to the features of biomarker tests, the clinical context of endpoints, the performance criteria for later phase evaluation, and study size. We discuss novel adaptive design approaches for improving the efficiency and practicality of clinical utility trials. We recommend using multiple strategies, including adopting real-world evidence, emulated trials, and mathematical modeling to circumvent the challenges in conducting early detection utility trials.

Liver-directed treatments - ablative therapy (AT), surgical resection (SR), liver transplantation (LT), and transarterial chemoembolization (TACE) - improve the overall survival of patients with early-stage hepatocellular carcinoma (HCC). Although racial and socioeconomic disparities affect access to liver-directed therapies, the temporal trends for the curative-intent treatment of HCC remain to be elucidated.

This study performed chi-square, logistic regression, and temporal trends analyses on data from the Nationwide Inpatient Sample from 2011 to 2019. The outcome of interest was the rate of AT, SR, LT (curative-intent treatments), and TACE utilization, and the primary predictors were racial/ethnic group and socioeconomic status (SES; insurance status).

African American and Hispanic patients had lower odds of receiving AT (African American: odds ratio [OR], 0.78; P < .001; Hispanic: OR, 0.84; P = .005) and SR (African American: OR, 0.71; P < .001; Hispanics: OR, 0.64; P < .001) than White patients. Compared with White patients, the odds of LT was lower in African American patients (OR, 0.76; P < .001) but higher in Hispanic patients (OR, 1.25; P = .001). Low SES was associated with worse odds of AT (OR, 0.79; P = .001), SR (OR, 0.66; P < .001), and LT (OR, 0.84; P = .028) compared with high SES. Although curative-intent treatments showed significant upward temporal trends among White patients (10.6%-13.9%; P < .001) and Asian and Pacific Islander/other patients (14.4%-15.7%; P = .007), there were nonsignificant trends among African American patients (10.9%-10.1%; P = .825) or Hispanic patients (12.2%-13.7%; P = .056).

Our study demonstrated concerning disparities in the utilization of curative-intent treatment for HCC based on race/ethnicity and SES. Moreover, racial/ethnic disparities have widened rather than improved over time.

The incidence of young patients diagnosed with hepatocellular carcinoma (HCC) is projected to rise. This study aimed to investigate the distinctive characteristics of adolescent and young adult (AYA) patients with HCC and identify the risk factors that impact their survival.

This study included 1005 AYA patients and 55,435 older adult (OA) patients with HCC, using data from the Surveillance, Epidemiology, and End Results database. Propensity score matching was used to adjust for baseline differences in patient characteristics. The Kaplan-Meier curve and log-rank test are utilized to compare the overall survival between the two groups. The Cox proportional hazards regression model was used for subgroup analysis to identify risk factors for overall survival in AYA patients.

AYA patients exhibited a higher proportion of advanced clinical stage (49.15% vs 37.57%, P < 0.001) and fibrolamellar hepatocellular carcinoma (14.13% vs 0.09%, P < 0.001), but a lower incidence of alpha-fetoprotein positivity (32.04% vs 45.32%, P < 0.001) and cirrhosis (8.86% vs 18.32%, P < 0.001). The subgroup analysis results indicated that AYA patients had a more favorable prognosis than OA patients in most subgroups. Undifferentiated carcinoma emerged as the predominant risk factor for AYA patients (Hazard Ratio [HR], 6.08 [2.53-14.62]), whereas partial hepatectomy was determined to be the most advantageous factor (HR, 0.29 [0.23-0.37]).

AYA patients with HCC exhibit more aggressive characteristics but demonstrate a better prognosis compared to the OA group, necessitating personalized surveillance and treatment.

To establish and validate a CT-based nomogram for accurately detecting HCC in patients at high risk for the disease.

A total of 223 patients were divided into training (n=161) and validation (n=62) cohorts between January of 2017 and May of 2022. Logistic analysis was performed, and clinical model and radiological model were developed separately. Finally, a nomogram was established based on clinical and radiological features. All models were evaluated using the area under the curve (AUC). DeLong's test was used to evaluate the differences among these models.

In the multivariate analysis, gender (p = 0.014), increased Alpha-fetoprotein (AFP) (p = 0.017), non-rim arterial phase hyperenhancement (APHE) (p = 0.011), washout (p = 0.011), and enhancing capsule (p = 0.001) were the independent differential predictors of HCC. A nomogram was formed with well-fitted calibration curves based on these five factors. The area under the curve (AUC) of the nomogram in the training and validation cohorts was 0.961(95%CI: 0.935~0.986) and 0.979 (95% CI: 0.949~1), respectively. The nomogram outperformed the clinical and the radiological models in training and validation cohorts.

The nomogram incorporating clinical and CT features can be a simple and reliable tool for detecting HCC and achieving risk stratification in patients at high risk for HCC.

An ultrasensitive immunosensor of Cys/Au@TiO2 based on disposable screen-printed electrodes (SPE) for PIVKA-II detection for hepatocellular carcinoma (HCC) diagnosis was developed by utilizing Cystine (Cys) and nanocomposite Au@TiO2. Firstly, HAuCl4 underwent a reduction reaction with NaBH4, then Au nanoparticles were coated onto TiO2 nanoparticles. Followed, Cys/Au@TiO2 was formed through self-assembly of cysteine to allow the monoclonal antibody of abnormal thrombospondin to bound to the amino group on the surface of the composite by covalent bonding. The mechanism is to determine the changes in the current of the sensor caused by the specific binding of the abnormal prothrombin monoclonal antibody adsorbed by the complex with its antigen. The Cys/Au@TiO2 immunosensor was fully characterized by various analytical approaches and it showed a wide linear testing range of 1-10000 pg mL-1 (R2 = 0.991) and the limit of detection down to 0.77 pg ml-1, with highly sensitivity and specificity. The results showed that the developed immunosensor platform can effectively detect trace amounts of PIVKA-II protein and has potent clinical application for HCC diagnosis.

The immune microenvironment (IME) in hepatocellular carcinoma (HCC) plays a pivotal role in determining patient outcomes and responses to treatment. This area is witnessing rapid growth in research interest. However, there is a lack of comprehensive bibliometric analyses that dissect trends and potential focal points in this field.

To explore the evolution of research on the IME in HCC from January 1, 2004, to December 31, 2023, using bibliometric methodologies.

English articles and reviews concerning the IME of HCC were retrieved from the Web of Science Core Collection with a search date of December 31, 2023. The R package Bibliometrix was employed to compute basic bibliometric characteristics, illustrate collaborations among countries and authors, and create a three-field diagram illustrating the connections between authors, affiliations, and keywords. Analyses of country and institutional co-authorship, as well as keyword co-occurrence, were conducted using VOSviewer. Additionally, CiteSpace was utilized for the cite burst analysis of keywords and cited literature.

The study encompassed 3125 documents in the research areas related to HCC of IME, revealing a substantial and continuous increase in the annual publication trend over time. China and Fudan University emerged as leading contributors, with 2103 and 165 publications, respectively. Frontiers in immunology was the most prolific journal in this domain. Among the top ten researchers in the field, eight are based in China. Key research terms identified include tumour microenvironment, expression, immunotherapy, and prognosis.

The relationship between HCC and IME is receiving increasing attention, and related research is in a highly developed stage. Key focus areas, including IME and immune checkpoint inhibitors, immunotherapy are poised to be central to future research endeavors, offering promising pathways for further exploration.

Obesity is a global health concern and independent risk factor for cancers including hepatocellular carcinoma (HCC). However, evidence on the causal links between obesity and HCC is limited and inconclusive. This study aimed to investigate the causal relationship between obesity-related traits and HCC risk and explore underlying mechanisms using bioinformatics approaches. Two-sample Mendelian randomization analysis was conducted leveraging publicly available genome-wide association study summary data on obesity traits (body mass index, body fat percentage, waist circumference, waist-to-hip ratio, visceral adipose tissue volume) and HCC. Associations of obesity with primary mechanisms (insulin resistance, adipokines, inflammation) and their effects on HCC were examined. Differentially expressed genes in obesity and HCC were identified and functional enrichment analyses were performed. Correlations with tumor microenvironment (TME) and immunotherapy markers were analyzed. Genetically predicted higher body mass index and body fat percentage showed significant causal relationships with increased HCC risk. Overall obesity also demonstrated causal links with insulin resistance, circulating leptin levels, C-reactive protein levels and risk of severe insulin resistant type 2 diabetes. Four differentially expressed genes (ESR1, GCDH, FAHD2A, DCXR) were common in obesity and HCC. Enrichment analyses indicated their roles in processes like RNA capping, viral transcription, IL-17 signaling and endocrine resistance. They exhibited negative correlations with immune cell infiltration and immunotherapy markers in HCC. Overall obesity likely has a causal effect on HCC risk in Europeans, possibly via influencing primary mechanisms. The identified differentially expressed genes may be implicated in obesity-induced hepatocarcinogenesis through regulating cell cycle, inflammation and immune evasion. Further research on precise mechanisms is warranted.

 Although hepatocellular carcinoma (HCC) usually develops in cirrhotic livers, HCCs could also arise in non-cirrhotic livers. We aimed to compare the characteristics and survival of cirrhotic- and non-cirrhotic HCCs.

 Data of HCC patients between 2011 and 2021 in a single tertiary center was evaluated retrospectively. Demographic, clinical, laboratory, tumoral and pathological features, and survival outcomes of cirrhotic and non-cirrhotic HCCs were compared.

 The study included 188 HCC patients. Median age was 64 (26-92) years and similar for study groups (P = .208). Both groups had similar male/female ratio. Forty-two patients (22.3%) had HCC in non-cirrhotic liver. Non-cirrhotic HCCs had similar tumor differentiation type, radiological characteristics, Milan, University of California San Francisco, and the Barcelona Clinic Liver Cancer stages, but more unifocal lesion (78.6% vs. 59.6%) and larger tumor size (89.5 (16-240) mm vs. 59.0 (12-290) mm) at presentation compared to non-cirrhotic HCCs. Despite larger tumor size, non-cirrhotic HCC patients had better overall, disease-free and progression-free survival rates than cirrhotic HCCs. Overall survivals for 1 and 3 years were 71.4% and 49.7% for non-cirrhotic and 54% and 28.3% for cirrhotic HCCs, respectively (P = .035). According to Cox analyses, Eastern Cooperative Oncology Group score (P <.001, hazards ratio (HR): 4.05) and curative treatments (P < .001, HR: 0.21) were predictive for overall survival in cirrhotic HCCs. Curative treatment (P = .027, HR: 0.31) was found to be a significant predictor for overall survival in non-cirrhotic HCCs. Vascular invasion was the only independent predictor for disease-free survival (HR: 2.62, 95% CI 1.01-6.93, P = .049) for non-cirrhotic HCCs.

 Despite larger tumor size and similar tumor stages, compared to cirrhotic HCCs, non-cirrhotic HCCs were associated with better survival outcomes.

A set of indicators has been reported to measure the quality of care for cirrhotic patients, and previously published studies report variable adherence rates to these indicators. This study aimed to assess the quality of care provided to cirrhotic outpatients before and after an educational intervention by determining its impact on adherence to quality indicators.

We conducted a quasi-experimental, cross-sectional study including 324 cirrhotic patients seen in 2017 and 2019 at a tertiary teaching hospital in Spain. Quality indicators were assessed in five domains: documentation of cirrhosis etiology, disease severity assessment, hepatocellular carcinoma (HCC) screening, variceal bleeding prophylaxis, and vaccination. After identifying areas for improvement, an educational intervention was implemented. A second evaluation was performed after the intervention to assess changes in adherence rates.

Before the intervention, adherence rates were excellent (>90%) for indicators related to variceal bleeding prophylaxis and documentation of cirrhosis etiology, acceptable (60-80%) for HCC screening and disease severity assessment, and poor (<50%) for vaccinations. After the educational intervention, there was a statistically significant improvement in adherence rates for eight indicators related to HCC screening (70-90%), disease severity assessment (90%), variceal bleeding prophylaxis (>90%), and vaccinations (60-90%).

Our study demonstrates a significant improvement in the quality of care provided to cirrhotic outpatients after an educational intervention. The findings highlight the importance of targeted educational interventions to enhance adherence to quality indicators in the management of cirrhosis.

Primary hepatocellular carcinoma (PHC) is associated with high rates of morbidity and malignancy in China and throughout the world. In clinical practice, a combination of ultrasound and alpha-fetoprotein (AFP) measurement is frequently employed for initial screening. However, the accuracy of this approach often falls short of the desired standard. Consequently, this study aimed to investigate the enhancement of precision of preliminary detection of PHC by ensemble learning techniques. To achieve this, 712 patients with PHC and 1887 healthy controls were enrolled for the assessment of four ensemble learning methods, namely, Random Forest (RF), LightGBM, Xgboost, and Catboost. A total of eleven characteristics, comprising nine serological indices and two demographic indices, were selected from the participants for use in detecting PHC. The findings identified an optimal feature subset consisting of eight features, namely AFP, albumin (ALB), alanine aminotransferase (ALT), platelets (PLT), age, alkaline phosphatase (ALP), hemoglobin (Hb), and body mass index (BMI), that achieved the highest classification accuracy of 96.62%. This emphasizes the importance of the collective use of these features in PHC diagnosis. In conclusion, the results provide evidence that the integration of serological and demographic indices together with ensemble learning models, can contribute to the precision of preliminary diagnosis of PHC.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Serum biomarkers play an important role in the early diagnosis and prognosis of HCC. Because a certain percentage of HCC patients are negative for alpha-fetoprotein (AFP), the diagnosis of AFP-negative HCC is essential to improve the detection rate of HCC.

To establish an effective model for diagnosing AFP-negative HCC based on serum tumour biomarkers.

A total of 180 HCC patients were enrolled in this study. The expression levels of GP73, des-γ-carboxyprothrombin (DCP), CK18-M65, and CK18-M30 were detected by a fully automated chemiluminescence analyser. The variables were selected by logistic regression analysis. Several models were constructed using stepwise backward logistic regression. The performance of the models was compared using the C statistic, integrated discrimination improvement, net reclassification improvement, and calibration curves. The clinical utility of the nomogram was assessed using decision curve analysis (DCA).

The results showed that the expression levels of GP73, DCP, CK18-M65, and CK18-M30 were significantly greater in AFP-negative HCC patients than in healthy controls (P < 0.001). Multivariate logistic regression analysis revealed that GP73, DCP, and CK18-M65 were independent factors for diagnosing AFP-negative HCC. By comparing the diagnostic performance of multiple models, we included GP73 and CK18-M65 as the model variables, and the model had good discrimination ability (area under the curve = 0.946) and good goodness of fit. The DCA curves indicated the good clinical utility of the nomogram.

Our study identified GP73 and CK18-M65 as serum biomarkers with certain application value in the diagnosis of AFP-negative HCC. The diagnostic nomogram based on CK18-M65 combined with GP73 demonstrated good performance and effectively identified high-risk groups of patients with HCC.

In patients with hepatocellular carcinoma (HCC), liver resection is potentially curative. Nevertheless, post-operative recurrence is common, occurring in up to 70% of patients. Factors traditionally recognized to predict recurrence and survival after liver resection for HCC include pathologic factors (i.e., microvascular and capsular invasion) and an increase in alpha-fetoprotein level. During the past decade, many new markers have been reported to correlate with prognosis after resection of HCC: liquid biopsy markers, gene signatures, inflammation markers, and other biomarkers, including PIVKA-II, immune checkpoint molecules, and proteins in urinary exosomes. However, not all of these new markers are readily available in clinical practice, and their reproducibility is unclear. Liquid biopsy is a powerful and established tool for predicting long-term outcomes after resection of HCC; the main limitation of liquid biopsy is represented by the cost related to its technical implementation. Numerous patterns of genetic expression capable of predicting survival after curative-intent hepatectomy for HCC have been identified, but published findings regarding these markers are heterogenous. Inflammation markers in the form of prognostic nutritional index and different blood cell ratios seem more easily reproducible and more affordable on a large scale than other emerging markers. To select the most effective treatment for patients with HCC, it is crucial that the scientific community validate new predictive markers for recurrence and survival after resection that are reliable and widely reproducible. More reports from Western countries are necessary to corroborate the evidence.

Hepatocellular carcinoma (HCC) is a highly prevalent and deadly cancer, with limited treatment options for advanced-stage patients. Disulfidptosis is a recently identified mechanism of programmed cell death that occurs in SLC7A11 high-expressing cells due to glucose starvation-induced disintegration of the cellular disulfide skeleton. We aimed to explore the potential of disulfidptosis, as a prognostic and therapeutic marker in HCC.

We classified HCC patients into two disulfidptosis subtypes (C1 and C2) based on the transcriptional profiles of 31 disulfrgs using a non-negative matrix factorization (NMF) algorithm. Further, five genes (NEIL3, MMP1, STC2, ADH4 and CFHR3) were screened by Cox regression analysis and machine learning algorithm to construct a disulfidptosis scoring system (disulfS). Cell proliferation assay, F-actin staining and PBMC co-culture model were used to validate that disulfidptosis occurs in HCC and correlates with immunotherapy response.

Our results suggests that the low disulfidptosis subtype (C2) demonstrated better overall survival (OS) and progression-free survival (PFS) prognosis, along with lower levels of immunosuppressive cell infiltration and activation of the glycine/serine/threonine metabolic pathway. Additionally, the low disulfidptosis group showed better responses to immunotherapy and potential antagonism with sorafenib treatment. As a total survival risk factor, disulfS demonstrated high predictive efficacy in multiple validation cohorts. We demonstrated the presence of disulfidptosis in HCC cells and its possible relevance to immunotherapeutic sensitization.

The present study indicates that novel biomarkers related to disulfidptosis may serve as useful clinical diagnostic indicators for liver cancer, enabling the prediction of prognosis and identification of potential treatment targets.

Hepatocellular carcinoma (HCC) is a common malignant tumor, which is associated with a poor prognosis and high mortality rate. It is well known that growth differentiation factor 11 (GDF11) acts as a tumor suppressor in various types of cancer, including HCC. The present study aimed to determine the tumor-suppressive properties of GDF11 in HCC and to assess the intrinsic mechanisms. In the present study, the human hepatoma cell line Huh-7 was transfected with the GDF11 overexpression plasmid (Oe-GDF11) for gain-of-function experiments to investigate the effects of GDF11 on the biological behaviors of HCC cells, including proliferation, colony formation, apoptosis, cell cycle arrest, migration, invasion, epithelial-mesenchymal transition (EMT) and angiogenesis. The proliferation, colony formation, apoptosis, cell cycle, migration, invasion and angiogenesis of HCC cells were assessed by CCK-8, EdU staining, colony formation, flow cytometry, wound healing, Transwell and tube formation assays, respectively. Apoptosis-, cell cycle-, EMT-related key factors were also determined by western blot assay. Furthermore, Oe-GDF11-transfected Huh-7 cells were treated with the mammalian target of rapamycin (mTOR) activator MHY1485 for rescue experiments to explore whether GDF11 could exert antitumor effects against HCC via mediating the mTOR complex 1 (mTORC1)-autophagy axis. In the present study, GDF11 was verified to be lowly expressed in HCC cells. Overexpression of GDF11 inhibited the proliferation, colony formation, migration, invasion, EMT and angiogenesis of HCC cells, and facilitated the apoptosis and cell cycle arrest of HCC cells. Additionally, it was verified that overexpression of GDF11 inactivated the mTORC1 signaling pathway to enhance autophagy in HCC cells. Treatment with the mTOR activator MHY1485 partially reversed the tumor-suppressive effects of GDF11 overexpression on HCC. In conclusion, GDF11 may exert tumor-suppressive properties in HCC cells through inactivating the mTORC1 signaling pathway to strengthen autophagy.

Hepatocellular carcinoma (HCC) is a primary liver tumor generally diagnosed based on radiographic findings. Metastatic disease is typically associated with increased tumor diameter, multifocality, and vascular invasion. We report a case of a patient who presented with extrahepatic HCC metastasis to a portocaval lymph node with occult hepatic primary on computed tomography (CT). We review the literature for cases of extrahepatic HCC presentation without known hepatic lesions and discuss strategies to differentiate between metastatic and ectopic HCC.

A 67-year-old male with remotely treated hepatis C was referred for evaluation of an enlarging portocaval, mixed cystic-solid mass. Serial CT evaluations demonstrated steatosis, but no cirrhosis or liver lesions. Endoscopic ultrasound demonstrated a normal-appearing pancreas, biliary tree, and liver. Fine needle aspiration yielded atypical cells. The differential diagnosis included duodenal or pancreatic cyst, lymphoproliferative cyst, stromal or mesenchymal lesions, nodal involvement from gastrointestinal or hematologic malignancy, or duodenal gastro-intestinal stromal tumor. After review by a multidisciplinary tumor board, the patient underwent open surgical resection of a 5.2 cm × 5.5 cm retroperitoneal mass with pathology consistent with moderately-differentiated HCC. Magnetic resonance imaging (MRI) subsequently demonstrated a 1.2 cm segment VIII hepatic lesion with late arterial enhancement, fatty sparing, and intrinsic T1 hyperintensity. Alpha fetoprotein was 23.3 ng/mL. The patient was diagnosed with HCC with portocaval nodal involvement. Review: We surveyed the literature for HCC presenting as extrahepatic masses without history of concurrent or prior intrahepatic HCC. We identified 18 cases of extrahepatic HCC ultimately found to represent metastatic lesions, and 30 cases of extrahepatic HCC found to be primary, ectopic HCC.

Hepatocellular carcinoma can seldomly present with extrahepatic metastasis in the setting of occult primary. In patients with risk factors for HCC and lesions suspicious for metastatic disease, MRI may be integral to identifying small hepatic lesions and differentiating from ectopic HCC. Tumor markers may also have utility in establishing the diagnosis.

Liver cirrhosis is the largest risk factor for developing hepatocellular carcinoma (HCC), and surveillance is therefore recommended among this population. Current guidance recommends surveillance with ultrasound, with or without alpha-fetoprotein (AFP). This review is part of a larger project looking at benefits, harms and costs of surveillance for HCC in people with cirrhosis. It aims to synthesise the evidence on the diagnostic accuracy of imaging or biomarker tests, alone or in combination, to identify HCC in adults with liver cirrhosis in a surveillance programme.

We will identify studies through a 2021 Cochrane review with similar eligibility criteria, and a database search of MEDLINE, Embase and the Cochrane Database of Systematic Reviews. We will include diagnostic test accuracy studies with adult cirrhosis patients of any aetiology. Studies must assess at least one of the following index tests: ultrasound (US), magnetic resonance imaging (MRI), computerised tomography (CT), alpha-fetoprotein (AFP), des-gamma-carboxyprothrombin (DCP), lens culinaris agglutinin-reactive fraction of AFP (AFP-L3), a genomic biomarker, or a diagnostic prediction model incorporating at least one of the above-mentioned tests. We will assess studies for risk of bias using QUADAS-2 and QUADAS-C. We will combine data using bivariate random effects meta-analyses. For tests evaluated across varying diagnostic thresholds, we will produce pooled estimates of sensitivity and specificity across the full range of numerical thresholds, where possible. Where sufficient studies compare two or more index tests, we will perform additional analyses to compare the accuracy of different tests. Where feasible, we will stratify all meta-analyses by tumour size and patient characteristics, including cirrhosis aetiology and liver disease severity.

This review will synthesise evidence across the full range of possible surveillance tests, using advanced statistical methods to summarise accuracy across all thresholds and to compare the accuracy of different tests.

CRD42022357163.

Early diagnosis of hepatocellular carcinoma (HCC) can significantly improve patient survival. We aimed to develop a blood-based assay to aid in the diagnosis, detection and prognostic evaluation of HCC.

A three-phase multicentre study was conducted to screen, optimise and validate HCC-specific differentially methylated regions (DMRs) using next-generation sequencing and quantitative methylation-specific PCR (qMSP).

Genome-wide methylation profiling was conducted to identify DMRs distinguishing HCC tumours from peritumoural tissues and healthy plasmas. The twenty most effective DMRs were verified and incorporated into a multilocus qMSP assay (HepaAiQ). The HepaAiQ model was trained to separate 293 HCC patients (Barcelona Clinic Liver Cancer (BCLC) stage 0/A, 224) from 266 controls including chronic hepatitis B (CHB) or liver cirrhosis (LC) (CHB/LC, 96), benign hepatic lesions (BHL, 23), and healthy controls (HC, 147). The model achieved an area under the curve (AUC) of 0.944 with a sensitivity of 86.0% in HCC and a specificity of 92.1% in controls. Blind validation of the HepaAiQ model in a cohort of 523 participants resulted in an AUC of 0.940 with a sensitivity of 84.4% in 205 HCC cases (BCLC stage 0/A, 167) and a specificity of 90.3% in 318 controls (CHB/LC, 100; BHL, 102; HC, 116). When evaluated in an independent test set, the HepaAiQ model exhibited a sensitivity of 70.8% in 65 HCC patients at BCLC stage 0/A and a specificity of 89.5% in 124 patients with CHB/LC. Moreover, HepaAiQ model was assessed in paired pre- and postoperative plasma samples from 103 HCC patients and correlated with 2-year patient outcomes. Patients with high postoperative HepaAiQ score showed a higher recurrence risk (Hazard ratio, 3.33, p < .001).

HepaAiQ, a noninvasive qMSP assay, was developed to accurately measure HCC-specific DMRs and shows great potential for the diagnosis, detection and prognosis of HCC, benefiting at-risk populations.

This study aimed to investigate environmental factors and genetic variant loci associated with hepatocellular carcinoma (HCC) in Chinese population and construct a weighted genetic risk score (wGRS) and polygenic risk score (PRS).

A case-control study was applied to confirm the single nucleotide polymorphisms (SNPs) and environmental variables linked to HCC in the Chinese population, which had been screened by meta-analyses. wGRS and PRS were built in training sets and validation sets. Area under the curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), Akaike information criterion (AIC), and Bayesian information criterion (BIC) were applied to evaluate the performance of the models.

A total of 13 SNPs were included in both risk prediction models. Compared with wGRS, PRS had better accuracy and discrimination ability in predicting HCC risk. The AUC for PRS in combination with drinking history, cirrhosis, HBV infection, and family history of HCC in training sets and validation sets (AUC: 0.86, 95% CI: 0.84-0.89; AUC: 0.85, 95% CI: 0.81-0.89) increased at least 20% than the AUC for PRS alone (AUC: 0.63, 95% CI: 0.60-0.67; AUC: 0.65, 95% CI: 0.60-0.71).

A novel model combining PRS with alcohol history, HBV infection, cirrhosis, and family history of HCC could be applied as an effective tool for risk prediction of HCC, which could discriminate at-risk individuals for precise prevention.