Global burden of primary liver cancer in 2020 and predictions to 2040

The role of long non-coding RNA NORAD in digestive system tumors

In recent years, it has been discovered that the expression of long non-coding RNAs is highly deregulated in several types of cancer and contributes to its progression and development. Recently, it has been described that in tumors of the digestive system, such as colorectal cancer, pancreatic cancer, and gastric cancer, DNA damage-activated lncRNA (NORAD) was frequently up-regulated. The purpose of this review is to elucidate the functions of NORAD in tumors of the digestive system, emphasizing its involvement in important cellular processes such as invasion, metastasis, proliferation, and apoptosis. NORAD acts as a ceRNA (competitive endogenous RNA) that sponges microRNAs and regulates the expression of target genes involved in tumorigenesis. Thus, the mechanisms underlying the effects of NORAD are complex and involve multiple signaling pathways. This review consolidates current knowledge on the role of NORAD in digestive cancers and highlights the need for further research to explore its potential as a therapeutic target. Understanding the intricate functions of NORAD could elucidate the way for innovative approaches to cancer treatment.

Liver Resection for Hepatocellular Carcinoma: Recent Advances

Hepatocellular carcinoma (HCC) represents a significant global health burden. Surgery remains a cornerstone in the curative treatment of HCC, and recent years have witnessed notable advancements aimed at refining surgical techniques and improving patient outcomes. This review presents a detailed examination of the recent innovations in HCC surgery, highlighting key developments in both surgical approaches and adjunctive therapies. Advanced imaging technologies have revolutionized preoperative assessment, enabling precise tumour localization and delineation of vascular anatomy. The use of three-dimensional rendering has significantly augmented surgical planning, facilitating more accurate and margin-free resections. The advent of laparoscopic and robotic-assisted surgical techniques has ushered in an era of minimal access surgery, offering patients the benefits of shorter hospital stays and faster recovery times, while enabling equivalent oncological outcomes. Intraoperative innovations such as intraoperative ultrasound (IOUS) and fluorescence-guided surgery have emerged as valuable adjuncts, allowing real-time assessment of tumour extent and aiding in parenchyma preservation. The integration of multimodal therapies, including neoadjuvant and adjuvant strategies, has allowed for 'bio-selection' and shown the potential to optimize patient outcomes. With the advent of augmented reality and artificial intelligence (AI), the future holds immense potential and may represent significant strides towards optimizing patient outcomes and refining the standard of care.

Lipid Nanovesicle Platforms for Hepatocellular Carcinoma Precision Medicine Therapeutics: Progress and Perspectives

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality globally. HCC is highly heterogenous with diverse etiologies leading to different driver mutations potentiating unique tumor immune microenvironments. Current therapeutic options, including immune checkpoint inhibitors and combinations, have achieved limited objective response rates for the majority of patients. Thus, a precision medicine approach is needed to tailor specific treatment options for molecular subsets of HCC patients. Lipid nanovesicle platforms, either liposome- (synthetic) or extracellular vesicle (natural)-derived present are improved drug delivery vehicles which may be modified to contain specific cargos for targeting specific tumor sites, with a natural affinity for liver with limited toxicity. This mini-review provides updates on the applications of novel lipid nanovesicle-based therapeutics for HCC precision medicine and the challenges associated with translating this therapeutic subclass from preclinical models to the clinic.

Imaging-based prediction of hepatocellular carcinoma recurrence after microwave ablation as bridge therapy: A glimpse into the future

Liver transplantation (LT) remains the treatment of choice for early-stage hepatocellular carcinoma (HCC) and offers the best long-term oncological outcomes. However, the increasing waiting list for LT has led to a significant dropout rate as patients experience tumor progression beyond the Milan criteria. Currently, locoregional therapies, such as microwave ablation (MWA), have emerged as promising bridge treatments for patients awaiting LT. These therapies have shown promising results in preventing tumor progression, thus reducing the dropout rate of LT candidates. Despite the efficacy of MWA in treating HCC, tumoral recurrence after ablation remains a major challenge and significantly impacts the prognosis of HCC patients. Therefore, accurately diagnosing tumoral recurrence post-ablation is crucial. Recent studies have developed novel imaging features based on magnetic resonance imaging of HCC, which could provide essential information for predicting early tumoral recurrence after MWA. These advancements could address this unresolved challenge, improving the clinical outcomes of patients on the LT waiting list. This article explored the current landscape of MWA as a bridge therapy for HCC within the Milan criteria, highlighting the emerging role of novel imaging-based features aimed at improving the prediction of tumor recurrence after MWA.

Massive fabrication of functional hepatic cancer spheroids by micropatterned GelMA hydrogel chip for drug screening

Since hepatic cancer incidence and mortality continue to grow worldwide, it is necessary to develop the biomimetic tumor models for drug development and tumor therapeutics. Cellular spheroids as an excellent simple 3D model can bridge the gap between 2D cell culture and live tissue. In this study, we proposed a biological methacrylated gelatin (GelMA) hydrogel-based microplatform for the massive generation of hepatocellular spheroids and downstream investigation of drug resistance. Micropatterned GelMA hydrogel microwell chip (GHM-chip) with tunable array was easily achieved in standard 24-culture well plates through the micro-molding fabrication strategy. The fabricated GHM-chip induced multicellular self-assembly behavior within the defined topography and further formed spheroidal structure. By regulating cell seeding density and designing microwell size, uniform hepatic cancer spheroids with tunable diameters were obtained in a simplicity, stability and controllable manner. In addition, the screening chemotherapy study of anti-cancer drug was completed through non-destructive recovery of spheroids from the GHM-chip. Beyond that, the recovered functional spheroids have potential application value in various biomedical fields such as tumor biology, pharmacology, and tissue microengineering. Finally, the proposed GHM-chip incorporated into standard cell culture plates with easy to manufacture and operate properties, may be an efficient culture microplatform for cancer research applications.

Biofunctional photoelectrochemical/electrochemical immunosensor based on BiVO4/BiOI-MWCNTs and Au@PdPt for alpha-fetoprotein detection

A biofunctional immunosensor combining photoelectrochemical (PEC) and electrochemical (EC) was proposed for the quantitative detection of the liver cancer marker alpha-fetoprotein (AFP) in human blood. BiVO4/BiOI-MWCNTs photoactive materials were first prepared on conductive glass FTO, and the photoelectrode was functionalized by chitosan and glutaraldehyde. Then, the AFP capture antibody (Ab1) was successfully modified on the photoelectrode, and the label-free rapid detection of AFP antigen was achieved by PEC. In addition, Au@PdPt nanospheres were also used as a marker for binding to AFP detection antibody (Ab2). Due to the excellent catalytic properties of Au@PdPt in EC reaction, a signal increase in the EC response can be achieved when Ab2 binds to the AFP antigen, which ensures high sensitivity for the detection of AFP. The detection limits of PEC and EC are 0.050 pg/mL and 0.014 pg/mL, respectively. The sensor also possesses good specificity, stability and reproducibility, shows excellent performance in the detection of clinical samples and has good clinical applicability.

Small nucleolar RNA expression profiles: A potential prognostic biomarker for non-viral Hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a challenging cancer with high mortality rates, limited predictability, and a lack of effective prognostic indicators. The relationship between small nucleolar RNAs (snoRNAs) and HCC is poorly understood. Based on the literature data, snoRNA studies were primarily focused on viral-related causes of HCC, such as Hepatitis B or C viruses (HBV or HCV). According to these studies, we selected four snoRNAs (snoRA12, snoRA47, snoRA80E, and snoRD126) for exploration in the context of non-viral-related causes, including non-alcoholic steatohepatitis (NASH), non-alcoholic fatty liver diseases (NAFLD), and alcohol steatohepatitis. The primary goal of this study was to gain a deeper understanding of how snoRNA expression affects patient outcomes and whether it can serve as a prognostic tool for non-viral HCC. We conducted a study on tissue samples from 35 HCC patients who had undergone resection at Pilsen University Hospital. SnoRA12, snoRA47, snoRA80E, and snoRD126 were studied by quantitative real-time PCR (qRT-PCR) in tumor and non-tumor adjacent tissue (NTAT) samples. Kaplan-Meier analysis was performed to assess the association of snoRNAs expression levels with patient outcomes: time to recurrence (TTR), disease-free survival (DFS) and overall survival (OS). In tumor tissues, snoRA12, snoRA47 and snoRA80E were upregulated, while snoRD-126 was downregulated compared to NTAT. Low expression of snoRA47 and snoRD126 in patients was associated with longer TTR and DFS. The individual expression of snoRA12 and snoRA80E did not show associations with TTR and DFS. However, a combination of medium expression of snoRD126 and snoRA80E was associated with longer TTR and DFS, while high and low expressions of the combined snoRA126 and snoRA80E showed no significant association with TTR, DFS, and OS. Conversely, a combination of high expression of snoRA12 and snoRD126 was associated with shorter TTR. In conclusion, the results indicate that snoRA47 and snoRD126 exhibit good prognostic power specifically for non-viral related HCC. Both snoRA47 and snoRD126 showed favorable prognostication in single and combined analysis when assessing patient outcomes. Also, in combination analysis, snoRA80E and snoRA12 showed favorable prognosis, but not alone.

Anthocyanin-loaded milk-derived extracellular vesicles nano-delivery system: Stability, mucus layer penetration, and pro-oxidant effect on HepG2 cells

Anthocyanin (ACN) has attracted considerable attention due to its wide range of physiological effects. However, challenges such as poor stability and limited bioavailability have hindered its utilization in functional foods. To address these issues, this research utilized milk-derived extracellular vesicles (MEV) as carriers for encapsulating and binding ACN through various techniques, including ultrasonic, electroporation, saponin treatment, incubation, and freeze-thaw cycles. The objective of these approaches was to enhance the stability of ACN and improve its oral delivery. Notably, the ACN-loaded MEV (MEV-ACN) prepared through ultrasonic exhibited small particle sizes and good stability under processing, storage, and simulated digestion conditions. Cellular studies revealed that MEV-ACN exhibited pro-oxidant properties and induced oxidative stress, leading to cell apoptosis with greater efficacy compared to free ACN. These findings suggest that encapsulating ACN within MEV can significantly enhance its processing and oral stability, as well as strengthening its dietary defense capabilities in anti-tumor applications.

Knockdown of SLC16A3 decreases extracellular lactate concentration in hepatocellular carcinoma, alleviates hypoxia and induces ferroptosis

SLC16A3/monocarboxylate transporter 4 (MCT4) regulates intracellular lactate transport and is highly expressed in many tumors, indicating poor prognosis. It may be related to inducing hypoxia, apoptosis and other mechanisms, but the study of MCT4 in HCC is far from complete. In this study, we first analyzed the expression of SLC16A3 in HCC tumor and non-tumor tissue samples based on TCGA data and immunohistochemistry. Subsequently, the effects of SLC16A3 expression on cell proliferation and invasion were analyzed using hepatocellular carcinoma (HCC) lines, and Western blot (WB) analysis was performed to explore the changes in pathway proteins and ferroptosis proteins. Finally, the drug sensitivity was tested by CCK8 kit. We found that SLC16A3 was significantly upregulated in tumor tissues, and was significantly correlated with TNM stage, histological grade, and macrovascular invasion. TCGA data and WB analysis showed that the high expression of SLC16A3 induced hypoxia, and knockdown could reverse hypoxia and inhibit ERK phosphorylation, thus limiting the malignant behavior of HCC cells. Moreover, knockdown of SLC16A3 significantly increased the level of lipid peroxidation and reactive oxygen species (ROS), while the expressions of GPX4, DHODH and SLC7A11 were inhibited. The expression of SLC16A3 affected the sensitivity of HCC cells to chemotherapy and targeted drugs, and RNA sequencing data suggested that the expression level influenced tumor microenvironment and response to immunotherapy. So, we draw a conclude that SLC16A3 is associated with poor prognosis of HCC. Inhibition of SLC16A3 expression is a potential therapeutic target for HCC.

PPM1G and its diagnostic, prognostic and therapeutic potential in HCC (Review)

Global statistics indicate that hepatocellular carcinoma (HCC) is the sixth most common cancer and the third leading cause of cancer‑related death. Protein phosphatase Mg2+/Mn2+ dependent 1G (PPM1G, also termed PP2Cγ) is one of the 17 members of the PPM family. The enzymatic activity of PPM1G is highly reliant on Mg2+ or Mn2+ and serves as a dephosphorylation regulator for numerous key proteins. PPM1G, functioning as a phosphatase, is involved in a number of significant biological processes such as the regulation of eukaryotic gene expression, DNA damage response, cell cycle and apoptosis, cell migration ability, cell survival and embryonic nervous system development. Additionally, PPM1G serves a role in regulating various signaling pathways. In recent years, further research has increasingly highlighted PPM1G as an oncogene in HCC. A high expression level of PPM1G is closely associated with the occurrence, progression and poor prognosis of HCC, offering notable diagnostic and therapeutic value for this patient population. In the present review, the regulatory role of PPM1G in diverse biological processes and signaling pathway activation in eukaryotes is evaluated. Furthermore, its potential application as a biomarker in the diagnosis and prognosis evaluation of HCC is assessed, and future prospects for HCC treatment strategies centered on PPM1G are discussed.

Functional liver imaging score (FLIS) can predict adverse events in HCC patients

PURPOSE

To assess the performance of FLIS in predicting adverse outcomes, namely post-hepatectomy liver failure (PHLF) and death, in patients who underwent liver surgery for malignancies.

METHODS

All consecutive patients who underwent liver resection and 1.5 T gadoxetic acid MR were enrolled. PHLF and overall survival (OS) were collected. Two radiologists with 18 and 8 years of experience in abdominal imaging, blinded to clinical data, evaluated all images. Radiologists evaluated liver parenchymal enhancement (EnQS), biliary contrast excretion (ExQS), and signal intensity of the portal vein relative to the liver parenchyma (PVsQs). Reliability analysis was computed with Cohen's Kappa. Cox regression analysis was calculated to determine which factors are associated with PHLF and OS. Area Under the Receiver Operating Characteristic curve (AUROC) was computed.

RESULTS

150 patients were enrolled, 58 (38.7 %) in the HCC group and 92 (61.3 %) in the non-HCC group. The reliability analysis between the two readers was almost perfect (κ = 0.998). The multivariate Cox analysis showed that only post-surgical blood transfusions and major resection were associated with adverse events [HR=8.96 (7.98-9.88), p = 0.034, and HR=0.99 (0.781-1.121), p = 0.032, respectively] in the whole population. In the HCC group, the multivariable Cox analysis showed that blood transfusions, major resection and FLIS were associated with adverse outcomes [HR=13.133 (2.988-55.142), p = 0.009, HR=0.987 (0.244-1.987), p = 0.021, and HR=1.891 (1.772-3.471), p = 0.039]. The FLIS AUROC to predict adverse outcomes was 0.660 (95 %CIs = 0.484-0.836), with 87 % sensitivity and 33.3 % specificity (81.1-94.4 and 22.1-42.1).

CONCLUSIONS

FLIS can be considered a promising tool to preoperative depict patients at risk of PHLF and death.

Liver Observation Segmentation on Contrast-Enhanced MRI: SAM and MedSAM Performance in Patients With Probable or Definite Hepatocellular Carcinoma

Purpose: To evaluate factors impacting the Segment Anything Model (SAM) and variant MedSAM performance for segmenting liver observations on contrast-enhanced (CE) magnetic resonance imaging (MRI) in high-risk patients with probable hepatocellular carcinoma (HCC) (LR-4) and definite HCC (LR-5). Methods: A retrospective cohort of liver observations (LR-4/LR-5) on CE-MRI from 97 patients at high-risk for HCC was derived (2013-2018). Using bounding-boxes as prompts under 5-fold cross-validation, segmentation performance was evaluated at the model and liver observation-levels for: (1) model types: SAM versus MedSAM, (2) image sizes: 256 × 256 versus 512 × 512, (3) image channel composition: CE sequences at 3 phases of enhancement independently and combined, (4) liver observation size: >10 mm versus >20 mm, (5) certainty of diagnosis: LR-4 versus LR-5, and (6) contrast-agent type: hepatobiliary versus extracellular. Segmentation performance, quantified using Dice coefficient, were compared using univariate (Wilcoxon signed-rank and t-test) and multivariable analyses (multiple correspondence analysis and subsequent linear modelling). Results: MedSAM trained on 512 × 512 combined CE sequences performed best with mean Dice coefficient 0.68 (95% confidence interval 0.66, 0.69). Overall, all factors except contrast-agent type affected performance, with larger image size resulting in the highest performance improvement (512 × 512: 0.57, 256 × 256: 0.26, P < .001) at the model-level. Contrast-agents affected performance for patients with LR-4 observations using MedSAM-based models (P < .03). Larger observation size, image size, and higher certainty of diagnosis were associated with better segmentation on multivariable analysis. Conclusion: A variety of factors were found to impact SAM/MedSAM performance for segmenting liver observations in patients with probable and definite HCC on CE-MRI. Future models may be optimized by accounting for these factors.

Imaging of Cirrhosis and Hepatocellular Carcinoma: Current Evidence

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. Early detection of HCC is a key factor in enabling curative therapies and improving overall survival. Worldwide, several guidelines are available for surveillance of at-risk populations and diagnosis of HCC. This article provides a current comprehensive update on screening and diagnosis of HCC.

Advancing Surveillance Strategies for Hepatocellular Carcinoma: A New Era of Efficacy and Precision

Hepatocellular carcinoma (HCC) is one of the few cancers with a 5-year survival that has remained below 20%; however, prognosis differs by tumor stage at diagnosis. Curative treatment options among patients with early-stage HCC afford a median survival of 5-10 years. Accordingly, international society guidelines recommend semi-annual HCC surveillance in at-risk patients, including those with cirrhosis or high-risk chronic hepatitis B infection. Surveillance is associated with increased early-stage HCC detection and curative treatments, leading to reduced HCC-related mortality. Abdominal ultrasound has been the cornerstone for HCC surveillance for the past two decades, but recent data have highlighted its suboptimal sensitivity for early-stage HCC detection, particularly in patients with obesity and those with non-viral etiologies of liver disease. The combination of ultrasound plus alpha fetoprotein (AFP) has higher sensitivity for early-stage HCC detection than ultrasound alone, although the combination still misses over one-third of HCC at an early stage. Emerging imaging and blood-based biomarker strategies have promising data in biomarker phase 2 (case-control) and phase 3 (cohort) studies. Beyond ultrasound, Magnetic resonance imaging (MRI) is the best-studied imaging strategy, with superior sensitivity and specificity compared to ultrasound in a cohort study. Abbreviated MRI protocols have been proposed to address concerns about MRI radiological capacity, costs, and patient acceptance. Of biomarker strategies, GALAD (a panel including gender, age, AFP, AFP-L3, and DCP) is the best validated, with promising sensitivity for early-stage HCC detection in a national multi-center cohort study. Liquid biopsy biomarkers, including methylated DNA markers, have also shown promising accuracy in case-control studies. Abbreviated MRI and GALAD are now entering prospective trials that examine clinical outcomes such as early-stage HCC detection and screening-related harms, which are essential data to understand for adoption in clinical practice. As additional surveillance strategies become available, it will allow an era of precision surveillance in which optimal surveillance modalities are tailored to individual patient risk and expected test performance.

Comparative Immunohistochemical Analysis of Clinicopathological Subgroups in Hepatocellular Carcinomas from Japan and Indonesia

Background

Standardized pathological evaluation based on immunohistochemical (IHC) analysis could improve hepatocellular carcinoma (HCC) diagnoses worldwide. We evaluated differences in clinicopathological subgroups in HCCs from two academic institutions in Tokyo-Japan, and Jakarta-Indonesia.

Methods

Clinicopathological parameters and molecular expression patterns were evaluated in 35 HCCs from Indonesia and 41 HCCs from Japan. IHC analysis of biliary/stem cell (B/S) markers (cytokeratin 19, sal-like protein 4, epithelial cell adhesion molecule) and Wnt/β-catenin (W/B) signaling-related molecules (β-catenin, glutamine synthetase) could determine the IHC-based subgroups. For immuno-subtypes categorization, CD3/CD79α double immunohistochemistry was done to evaluate the infiltration of T and B cells. CD34 staining allowed identification of vessels that encapsulated tumor clusters (VETC).

Results

Indonesian HCC patients were mostly <60 years old (66%) with a hepatitis B virus (HBV) background (82%), in contrast to Japanese HCC patients (8% and 19%, respectively, both P < 0.001). In comparison with Japanese, Indonesian cases more frequently had >5 cm tumor size (74% vs 23%, P = 0.001), poor differentiation (40% vs 24%), portal vein invasion (80% vs 61%), and α-fetoprotein levels >500 ng/ml (45% vs 13%, P = 0.005). No significant differences were found in the proportions of B/S, W/B, and -/- subgroups from both countries. No immune-high tumors were observed among Indonesian cases, and immune-low tumors (66%) were more common than in Japanese cases (54%). VETC-positive tumors in Indonesia were significantly more common (29%), and most were in the HBV (90%) and -/- subgroups (90%), whereas Japanese VETC cases (10%, P = 0.030) were nonviral (100%) and W/B subgroups (75%).

Conclusion

IHC-based analysis more precisely reflected the clinicopathological differences of HCCs in Japan and Indonesia. These findings provide new insights into standardization attempts and HCC heterogeneity among countries.

Anti-liver cancer effects and mechanisms and its application in nano DDS of polysaccharides: A review

Liver cancer is the third leading cause of cancer death, with high incidence and poor treatment effect. In recent years, polysaccharides have attracted more and more attention in the research field of anti-liver cancer because of their high efficiency, low toxicity, good biocompatibility, wide sources and low cost. Polysaccharides have been proven to have good anti-liver cancer activity. In this paper, the pathways and molecular mechanisms of polysaccharides against liver cancer were reviewed in detail. Polysaccharides exert anti-liver cancer activity by blocking cell cycle, inducing apoptosis, regulating immunity, inhibiting cancer cell metastasis, inhibiting tumor angiogenesis and so on. The primary structure and chain conformation of polysaccharides have an important influence on their anti-liver cancer activity. Structural modification enhanced the anti-liver cancer activity of polysaccharides. Polysaccharides have good attenuated and synergistic effects on chemotherapy drugs. Polysaccharides can be used as functional carriers to construct intelligent nano drug delivery systems (DDS) targeting liver cancer. This review can provide theoretical support for the further development and application of polysaccharides in the field of anti-liver cancer, and provide theoretical reference and clues for relevant researchers in food, nutrition, medicine and other fields.

Machine-Learning-Based Identification of Key Feature RNA-Signature Linked to Diagnosis of Hepatocellular Carcinoma

Background

Hepatocellular carcinoma (HCC) is the third prime cause of malignancy-related mortality worldwide. Early and accurate identification of HCC is crucial for good prognosis, efficacy of therapy, and survival rates of the patients. We aimed to develop a machine-learning model incorporating differentially expressed RNA signatures with laboratory parameters to construct an RNA signature-based diagnostic model for HCC.

Methods

We have used five classifiers (KNN, RF, SVM, LGBM, and DNNs) to predict the liver disease (HCC). The classifiers were trained on 187 samples and then tested on 80 samples. The model included 22 features (age, sex, smoking, cirrhosis, non-cirrhosis, albumin, ALT, AST bilirubin (total and direct), INR, AFP, HBV Ag, HCV Abs, RQmiR-1298, RQmiR-1262, RQmiR-106b-3p, RQmRNARAB11A, and RQSTAT1, RQmRNAATG12, RQLnc-WRAP53, RQLncRNA- RP11-513I15.6).

Results

LGBM achieved the highest accuracy of 98.75% in predicting HCC among all models surpassing Random Forest (96.25%), DNN (91.25%), SVC (88.75%), and KNN (87.50%).

Conclusion

Our machine-learning model incorporating the expression data of RAB11A/STAT1/ATG12/miR-1262/miR-1298/miR-106b-3p/lncRNA-RP11-513I15.6/lncRNA-WRAP53 signature and clinical data represents a potential novel diagnostic model for HCC.

Intratumoural microorganism can affect the progression of hepatocellular carcinoma

BACKGROUND

Several recent studies have confirmed that intratumoural microorganisms can affect the occurrence and development of hepatocellular carcinoma (HCC); however, their role in tumor progression remains unclear. Hence, there is a need for further research on the role of intratumoural microorganisms in HCC.

AIM

To investigate the changes in intratumoural microorganisms in HCC and the effect of Propionibacterium on HCC progression.

METHODS

HCC and normal liver tissue specimens were subjected to fluorescence in situ hybridization (FISH). After performing 16S rRNA sequencing on HCC and peritumoral tissues to analyze the differences between the two groups. Propionibacterium was cocultured with HCC cells in vitro. Changes in cell proliferation and migration capacity were evaluated. The expression of NF-κB pathway related proteins in tumor cells was compared. The orthotopic liver implantation model and the subcutaneous xenograft model were constructed. liver tissues and subcutaneous tumors were collected 2 weeks later.

RESULTS

FISH demonstrated the presence of microorganisms in HCC and normal liver tissues. 16S rRNA sequencing revealed an abundance of Lysobacter, Lachnospiraceae, Pseudomonas, and Lactobacillus in HCC tissues. The distribution and abundance of Propionibacterium showed differences between HCC and peritumoral tissues (P < 0.05). In vitro studies demonstrated that Propionibacterium and its metabolite propionic acid (PA) inhibited the proliferation and migration of HCC cells (P < 0.05). The expression of the proteins in NF-κB signaling pathway also decreased in HCC cells (P < 0.05).

CONCLUSION

Microorganisms in HCC and normal liver tissues displayed significant disparities. The PA-producing bacterium Propionibacterium in HCC exerts an effect on the NF-κB pathway, thereby affecting the biological behavior of HCC.

Survival and cardiovascular disease mortality among primary liver cancer patients: A population-based study

Background

The prognosis of primary liver cancer (PLC) was influenced by death due to non-cancer causes, particularly death related to cardiovascular disease (CVD). This study aimed to analyze mortality of non-cancer causes and identify the independent risk factors associated with CVD-related deaths in PLC patients.

Methods

In total, 112140 patients were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2019). Independent risk factors for death from CVD in patients with PLC were identified by Cox proportional hazards model.

Results

The median follow-up time of all PLC patients was 76 months (interquartile range (IQR): 36-129). The median overall survival (OS) was 12 months (IQR: 3-40). Patients with intrahepatic cholangiocarcinoma (ICC) had shorter OS than patients with hepatocellular carcinoma (HCC) (8 vs. 14 months; P < 0.001). A total of 87299 deaths were observed, among which 61477 (70.42 % of all deaths) were from PLC, and 12727 (14.58 % of all deaths) were from other cancers. Of all non-cancer deaths (9276, 10.63 %), 2860(30.86 %) were results of CVD. PLC patients had higher risks on CVD-related deaths, compared with general population (standard mortality ratio, SMR, 2.20; 95 % confidence interval, CI, 2.12-2.28). Typically, the highest SMRs appeared in the first year following cancer diagnosis. The multivariable analysis revealed the characteristics listed as followed to be independently risk factors of CVD: age, male (hazard ratio, HR: 1.248, 95%CI: 1.147-1.359), black race (HR: 1.334, 95%CI: 1.195-1.490), year 2016-2019 of diagnosis (HR 0.758, 95%CI: 0.671-0.856), ICC (HR: 1.202, 95%CI: 1.086-1.330), without surgery (HR: 2.479, 95%CI: 2.266-2.711) and without chemotherapy (HR: 2.211, 95%CI: 2.033-2.403).

Conclusion

It is essential to take cardiovascular health into consideration at the time of diagnosis for PLC patients as the risk of CVD mortality is significantly higher than that of general population.

Liver Cancer Etiology: Old Issues and New Perspectives

PURPOSE OF REVIEW

This review aims to synthesize the old issues and current understandings of the etiology of liver cancer, focusing on the diverse causative factors influenced by geographical, socioeconomic, and lifestyle variations across different regions.

RECENT FINDINGS

We highlight significant geographic disparities in liver cancer risk factors. While hepatitis B and C viruses, aflatoxin exposure, and alcohol consumption remain globally established contributors; metabolic dysfunction-associated steatotic liver disease and metabolic syndromes are increasingly prominent in the West. Chronic HBV and aflatoxin continue to dominate as risk factors in Asia and Africa. Dietary factors, metabolic diseases like diabetes and obesity, genetic predispositions, environmental risk factors and lifestyle choices such as smoking and alcohol use play substantial roles in specific populations. Protective factors like coffee and tea consumption, along with aspirin use, vegetables and fruits have shown potential in reducing HCC risk, although findings vary by population and dietary habits. Liver cancer etiology is influenced by various factors that differ by region. Established risk factors include hepatitis B and C, aflatoxin, and alcohol. Emerging risks, such as metabolic dysfunction-associated steatotic liver disease, are more prevalent in Western countries, while aflatoxin and HBV remains significant in Asia and Africa. Diet, metabolic conditions like diabetes and obesity, genetic predispositions, and lifestyle choices also play crucial roles. Coffee, tea, aspirin, vegetables, and fruits may reduce HCC risk, but effectiveness varies. Future research should integrate epidemiology, genetics, and nutrition, with global cooperation and data sharing essential for effective cancer control strategies.

Intriguing hepatoprotective effects of sucrose on hepatocellular carcinoma pathogenesis

Chronic liver disease is closely linked to dietary intake factors, such as high consumption of simple carbohydrates including sucrose. In this study, the influence of sucrose on the development of hepatocellular carcinoma (HCC), the most common primary liver malignancy, was explored. Using the hepatocarcinogen diethylnitrosamine (DEN) to induce HCC in the rat, we co-administered sucrose with DEN. The co-administration significantly modified body, liver and pancreas weight, as well as, serum fatty acids and triglycerides. DEN caused liver structural alteration, fibrosis, and tumor formation; surprisingly, co-administration with sucrose restored hepatic lipids, improved liver architecture, and reduced fibrosis and tumor development. Sucrose intake negatively regulated tumor markers and cell proliferation, and reduced the expression of genes associated with lipid metabolism and oxidative stress response. These findings highlight a hepatoprotective effect of sucrose during DEN-induced hepatocarcinogenesis, underlining an intriguing role of high sucrose consumption during HCC development and providing new insights as well as possible pathways of cellular protection under sucrose intake on hepatocarcinogenesis.

Puerarin: a hepatoprotective drug from bench to bedside

Pueraria is a time-honored food and medicinal plant, which is widely used in China. Puerarin, the main component extracted from pueraria, has a variety of pharmacological characteristics. In recent years, puerarin has received increasing attention for its significant hepatoprotective effects, such as metabolic dysfunction-associated steatotic liver disease, alcohol-related liver disease, and hepatic carcinoma. This paper explores the pharmacological effects of puerarin on various liver diseases through multiple mechanisms, including inflammation factors, oxidative stress, lipid metabolism, apoptosis, and autophagy. Due to its restricted solubility, pharmacokinetic studies revealed that puerarin has a low bioavailability. However, combining puerarin with novel drug delivery systems can improve its bioavailability. Meanwhile, puerarin has very low toxicity and high safety, providing a solid foundation for its further. In addition, this paper discusses puerarin's clinical trials, highlighting its unique advantages. Given its excellent pharmacological effects, puerarin is expected to be a potential drug for the treatment of various liver diseases.

Association of the Number of Concurrent Metabolic Syndrome Risk Factors with Textbook Outcomes Following Liver Resection for Patients with Hepatocellular Carcinoma: A Multicenter Study

BACKGROUND

There is little information regarding the impact of the number of concurrent metabolic syndrome (MetS) risk factors on the textbook outcomes (TO) in patients with hepatocellular carcinoma (HCC) following liver resection.

PATIENTS AND METHODS

Data from patients who underwent liver resection between 2015 and 2023 in a multicenter database were retrospectively reviewed (N = 3156). According to the guidelines, MetS risk factors include obesity, hypertension, diabetes, and dyslipidemia.

RESULTS

In this study, 2056 (65.1%) patients achieved TO. The incidence of TO was 63.1% in patients with ≥ 1 MetS risk factor, which was lower than that in patients without any MetS risk factors (67.5%, P = 0.011). As the number of MetS risk factors increased, the probability of not achieving TO gradually increased. The non-TO rates in patients with no, 1, 2, and ≥ 3 MetS risk factors were 32.5%, 35.9%, 37.6% and 40.2%, respectively (Ptrend = 0.005). Multivariate logistic regression confirmed that the number of MetS risk factors (0 as a reference; 1, OR 1.220, 95% CI 1.029-1.447, P = 0.022; 2, OR 1.397, 95% CI 1.113-1.755, P = 0.004; ≥ 3, OR 1.647, 95% CI 1.197-2.264, P = 0.002) independently contributed to non-TO in patients with HCC after liver resection. Both the 5-year recurrence-free survival (TO: 50.7% versus non-TO: 43.9%, P < 0.001) and overall survival rates (TO: 71.0% versus non-TO: 58.7%, P < 0.001) of TO patients were significantly better than those of non-TO patients.

CONCLUSIONS

Concurrent MetS risk factors can adversely impact TO achievement in patients with HCC after liver resection. The more risk factors patients have, the less likely they are to achieve TO.

EIF4G2 Promotes Hepatocellular Carcinoma Progression via IRES-dependent PLEKHA1 Translation Regulation

Hepatocellular carcinoma (HCC) is a highly lethal cancer, and proteomic studies have shown increased protein diversity and abundance in HCC tissues, whereas the role of protein translation has not been extensively explored in HCC. Our research focused on key molecules in the translation process to identify a potential contributor in HCC. We discovered that EIF4G2, a crucial translation initiation factor, is significantly upregulated in HCC tissues and associated with poor prognosis. This study uniquely highlights the impact of EIF4G2 deletion, which suppresses tumor growth and metastasis both in vitro and in vivo. Furthermore, polysome analysis and nascent protein synthesis assays revealed EIF4G2's role in regulating protein translation, specifically identifying PLEKHA1 as a key translational product. This represents a novel mechanistic insight into HCC malignancy. RNA immunoprecipitation (RIP) and Dual-luciferase reporter assays further revealed that EIF4G2 facilitates PLEKHA1 translation via an IRES-dependent manner. Importantly, the synergistic effects of EIF4G2 depletion and PLEKHA1 reduction in inhibiting cell migration and invasion underscore the therapeutic potential of targeting this axis. This study not only advances our understanding of translational regulation in HCC but also identifies the EIF4G2-PLEKHA1 axis as a promising therapeutic target, offering new avenues for intervention in HCC treatment.

Loss of heterozygosity of CYP2D6 enhances the sensitivity of hepatocellular carcinomas to talazoparib

BACKGROUND

Loss of heterozygosity (LOH) diminishes genetic diversity within cancer genomes. A tumour arising in an individual heterozygous for a functional and a loss-of-function (LoF) allele of a gene occasionally retain only the LoF allele. This can result in deficiency of specific protein activities in cancer cells, creating unique differences between tumour cells and normal cells of the individual. Such differences may constitute vulnerabilities that can be exploited through allele-specific therapies.

METHODS

To discover frequently lost genes with prevalent LoF alleles, we mined the 1000 Genomes dataset for SNVs causing protein truncation through base substitution, indels or splice site disruptions, resulting in 60 LoF variants in 60 genes. From these, the variant rs3892097 in the liver enzyme CYP2D6 was selected because it is located within a genomic region that frequently undergoes LOH in several tumor types including hepatocellular cancers. To evaluate the relationship between CYP2D6 activity and the toxicities of anticancer agents, we screened 525 compounds currently in clinical use or undergoing clinical trials using cell model systems with or without CYP2D6 activity.

FINDINGS

We identified 12 compounds, AZD-3463, CYC-116, etoposide, everolimus, GDC-0349, lenvatinib, MK-8776, PHA-680632, talazoparib, tyrphostin 9, VX-702, and WZ-3146, using an engineered HEK293T cell model. Of these, talazoparib and MK-8776 demonstrated consistently heightened cytotoxic effects against cells with compromised CYP2D6 activity in engineered hepatocellular cancer cell models. Moreover, talazoparib displayed CYP2D6 genotype dependent effects on primary hepatocellular carcinoma organoids.

INTERPRETATION

Exploiting the loss of drug-metabolizing enzyme gene activity in tumor cells following loss of heterozygosity could present a promising therapeutic strategy for targeted cancer treatment.

FUNDING

This work was funded by Barncancerfonden (T.S, PR2022-0099 and PR2020-0171, X.Z, TJ2021-0111), Cancerfonden (T.S, 211719Pj and D.G, 222449Pj), Vetenskapsrådet (T.S, 2020-02371 and D.G, 2020-04707), and the Erling Persson Foundation (T.S, 2020-0037 and T.S, 2023-0113).

A flexible deep learning framework for liver tumor diagnosis using variable multi-phase contrast-enhanced CT scans

BACKGROUND

Liver cancer is a significant cause of cancer-related mortality worldwide and requires tailored treatment strategies for different types. However, preoperative accurate diagnosis of the type presents a challenge. This study aims to develop an automatic diagnostic model based on multi-phase contrast-enhanced CT (CECT) images to distinguish between hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and normal individuals.

METHODS

We designed a Hierarchical Long Short-Term Memory (H-LSTM) model, whose core components consist of a shared image feature extractor across phases, an internal LSTM for each phase, and an external LSTM across phases. The internal LSTM aggregates features from different layers of 2D CECT images, while the external LSTM aggregates features across different phases. H-LSTM can handle incomplete phases and varying numbers of CECT image layers, making it suitable for real-world decision support scenarios. Additionally, we applied phase augmentation techniques to process multi-phase CECT images, improving the model's robustness.

RESULTS

The H-LSTM model achieved an overall average AUROC of 0.93 (0.90, 1.00) on the test dataset, with AUROC for HCC classification reaching 0.97 (0.93, 1.00) and for ICC classification reaching 0.90 (0.78, 1.00). Comprehensive validation in scenarios with incomplete phases was performed, with the H-LSTM model consistently achieving AUROC values over 0.9.

CONCLUSION

The proposed H-LSTM model can be employed for classification tasks involving incomplete phases of CECT images in real-world scenarios, demonstrating high performance. This highlights the potential of AI-assisted systems in achieving accurate diagnosis and treatment of liver cancer. H-LSTM offers an effective solution for processing multi-phase data and provides practical value for clinical diagnostics.

Relative contribution of Hepatitis B and C Viruses in primary liver cancer in China: a systematic review and meta-analysis

OBJECTIVES

China, which has the largest number of patients with primary liver cancer (PLCs), lacks data on the overall prevalence of hepatitis B virus (HBV) and hepatitis C virus (HCV) in PLCs. We aimed to comprehensively assess the seroprevalence of HBV and HCV among PLCs in China.

METHODS

We included and pooled observational studies reporting seroprevalence of HBsAg and anti-HCV antibodies among PLCs in China by searching PubMed, Web of Science, Cochrane, Scopus, Embase, CNKI, Wanfang, and CBM. Multivariate meta-regression and subgroup analyses were used to explore sources of heterogeneity, and publication bias was assessed by funnel plots and Egger's test. PROSPERO registration number is CRD42023450382.

RESULTS

A total of 217 eligible studies were included in the meta-analysis. The estimated seroprevalence of HBV and HCV was 75.09% (95% CI 73.12-77.02) and 11.82% (95% CI 9.79-14.00), respectively. After stratifying and analysing subgroups by region and study period, we found geographic differences in HBV and HCV prevalence among PLCs, with an overall increasing trend in the proportion of HBV and a decreasing trend in the proportion of HCV as well as co-infections in the last 40 years.

CONCLUSIONS

HBV and HCV infections still accounts for a high proportion of PLCs in China.

Liver Cancer: Progress and Priorities

Liver cancer, the sixth most frequently occurring cancer in the world and the third most common cause of cancer mortality, has wide geographical variation in both incidence and mortality rates. At the end of the 20th century, incidence rates began declining in some high-rate areas and increasing in some lower-rate areas. These trends were undoubtedly driven by the shifting contributions of both well-established and more novel risk factors. While notable strides have been made in combating some major risk factors, such as hepatitis B virus and hepatitis C virus, the emergence of metabolic conditions as important drivers of liver cancer risk indicates that much work remains to be done in prevention. As liver cancer is strongly associated with economic and social deprivation, research, early-diagnosis, and treatment among disadvantaged populations are of paramount importance.

The Influence of ESR2 Gene Polymorphisms on Susceptibility to Hepatitis B Virus-Related Chronic Hepatitis, Liver Cirrhosis, and Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) represents an estrogen-dependent tumor. The action of estrogen is regulated via estrogen receptor (ER). Polymorphisms in ERα gene, ESR1, are known to be related to HCC susceptibility among people carrying chronic hepatitis B (CHB). But the effect of ERβ on HCC is still largely unclear, and studies about the genetic variability of ESR2 and HCC are rare. For understanding ESR2's effect on HCC, this work tested two polymorphisms in the ESR2 gene promoter as well as the associations with CHB, HCC, and hepatitis B virus (HBV)-related liver cirrhosis (LC) among the Guangxi population. This work enrolled a total of 137 CHB, 136 LC, and 149 HBV-related HCC patients, together with 146 normal subjects. ESR2 polymorphisms rs3020449 and rs2978381 were examined using the SNaPshot genotyping technique. The AG genotype and dominant model of rs3020449 were related to the decreased CHB susceptibility. In both the overall and subgroup analyses, no associations were observed with the remaining models in all patient groups (those with CHB, HBV-related LC, and HCC), but associations were found between the dominant (TC+CC vs TT) and allele models (C vs T) of rs2978381 and increased HBV-related LC and HCC susceptibility, but not CHB. These findings suggest that rs3020449 polymorphism of ESR2 gene makes great contribution to the decreased CHB risk and that rs2978381 significantly contributed to higher risks of HBV-related LC and HCC.

Palliative radiotherapy versus best supportive care in patients with painful hepatic cancer (CCTG HE1): a multicentre, open-label, randomised, controlled, phase 3 study

BACKGROUND

Palliative treatment options for painful hepatic cancer can be restricted due to patients eventually becoming refractory to standard treatment. The aim of this study was to determine whether radiotherapy improves hepatic pain from cancer.

METHODS

In this open-label, randomised, controlled, phase 3 trial (CCTG HE1) done in nine cancer centres across Canada, we included patients aged 18 years or older with hepatocellular carcinoma or liver metastases, who were refractory to standard treatment, with an Eastern Cooperative Oncology Group performance status of 0-3, with life expectancy of more than 3 months, and pain or discomfort at its worst in the past 24 hours on the Brief Pain Inventory (BPI) of at least 4 out of 10, which was stable for up to 7 days before randomisation. Patients were randomly assigned (1:1), via a minimisation method after stratification by centre and type of cancer (hepatocellular carcinoma vs liver metastases), to single-fraction radiotherapy (8 Gy) to the liver with 8 mg ondansetron (or equivalent) orally and 4 mg dexamethasone orally given 1-2 h before radiotherapy plus best supportive care (including non-opioid or opioid analgesia, or dexamethasone, or a combination of these) or best supportive care alone. The primary endpoint was improvement in patient-reported liver cancer pain or discomfort of at least 2 points on worst pain intensity on the BPI at 1 month after randomisation. All patients with both baseline and 1-month assessments were included in the primary endpoint analysis. Safety was assessed in all patients randomly assigned to treatment. This trial is registered with ClinicalTrials.gov, NCT02511522, and is complete.

FINDINGS

Between July 25, 2015, and June 2, 2022, 66 patients were screened and randomly assigned to radiotherapy plus best supportive care (n=33) or best supportive care (n=33). Median age was 65 years (IQR 57-72), 37 (56%) of 66 patients were male, 29 (44%) were female, 43 (65%) had liver metastases, and 23 (35%) had hepatocellular carcinoma (data on race and ethnicity were not collected). As of data cutoff (Sept 8, 2022), median follow-up was 3·2 months (95% CI 3·0-3·4). 24 (73%) of 33 in the radiotherapy plus best supportive care group and 18 (55%) of 33 in the best supportive care only group completed baseline and 1-month assessments. An improvement in hepatic pain of at least 2 points in worst pain intensity on the BPI at 1 month was seen in 16 (67%) of 24 patients in the radiotherapy plus best supportive care group versus four (22%) of 18 patients in the best supportive care group (p=0·0042). The most common grade 3-4 adverse events within 1 month after randomisation were abdominal pain (three [9%] of 33 in the radiotherapy group vs one [3%] of 33 in best supportive care group) and ascites (two [6%] vs one [3%]). No serious adverse events or treatment-related deaths were observed.

INTERPRETATION

Single-fraction radiotherapy plus best supportive care improved pain compared with best supportive care alone in patients with liver cancer, and could be considered a standard palliative treatment.

FUNDING

Canadian Cancer Society.

Immunotherapy for hepatocellular carcinoma: The next evolution in expanding access to liver transplantation

Immunotherapy has revolutionised the treatment of advanced hepatocellular carcinoma (HCC). In addition, several phase III trials of immunotherapy in combination with surgical or locoregional therapies for early-to intermediate-stage HCC have recently reported positive results, and other phase III trials in the same patient population are currently in progress. As the application of immunotherapy is shifting to include patients with earlier stages of HCC, one looming question now emerges: What is the role of immunotherapy in the pre-liver transplant population? Liver transplantation is a potentially curative therapy for HCC and confers the additional advantage of restoring a normal, healthy liver. In pre-transplant patients, immunotherapy may improve downstaging success and tumour control at the cost of some immunologic risks. These include immune-related toxicities, which are particularly relevant in a uniquely vulnerable population with chronic liver disease, and the possibility of acute rejection after transplantation. Ultimately, the goal of immunotherapy in this population will be to effectively expand access to liver transplantation while preserving pre- and post-transplant outcomes. In this review, we discuss the mechanisms supporting combination immunotherapy, summarise key recent clinical data from major immunotherapy trials, and explore how immunotherapy can be applied in the neoadjuvant setting prior to liver transplantation in selected high-risk patients.

Biomarker discovery in hepatocellular carcinoma (HCC) for personalized treatment and enhanced prognosis

Hepatocellular carcinoma (HCC) is a leading contributor to cancer-related deaths worldwide and presents significant challenges in diagnosis and treatment due to its heterogeneous nature. The discovery of biomarkers has become crucial in addressing these challenges, promising early detection, precise diagnosis, and personalized treatment plans. Key biomarkers, such as alpha fetoprotein (AFP) glypican 3 (GPC3) and des gamma carboxy prothrombin (DCP) have shown potential in improving clinical results. Progress in proteomic technologies, including next-generation sequencing (NGS), mass spectrometry, and liquid biopsies detecting circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), has deepened our understanding of HCC's molecular landscape. Immunological markers, like PD-L1 expression and tumor-infiltrating lymphocytes (TILs), also play a crucial role in guiding immunotherapy decisions. Despite these advancements, challenges remain in biomarker validation, standardization, integration into clinical practice, and cost-related barriers. Emerging technologies like single-cell sequencing and machine learning offer promising avenues for further exploration. Continued investment in research and collaboration among researchers, healthcare providers, and policymakers is vital to harness the potential of biomarkers fully, ultimately revolutionizing HCC management and improving patient outcomes through personalized treatment approaches.

GALAD Score for the Diagnosis of Hepatocellular Carcinoma in Sub-Saharan Africa: A Validation Study in Ghanaian Patients

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related mortality worldwide including sub-Saharan Africa. The GALAD score, derived from Gender, Age, Lens culinaris agglutinin-reactive fraction of alpha fetoprotein, Alpha fetoprotein, and Des-carboxy-prothrombin, has high accuracy in diagnosing HCC in Asia, Europe, and North America; however, it has not been validated in an African cohort. The aim of this study was to assess the performance of the GALAD score in the diagnosis of HCC in sub-Saharan Africa. Clinical data from patients with cirrhosis (n = 93) or HCC (n = 78) from outpatient hepatology clinics at three teaching hospitals in Ghana were abstracted, and serum samples were analyzed. A logistic regression model predicting HCC status based on the GALAD score was constructed to obtain the ROC curve for GALAD. The AUC with 95% confidence interval (CI) was calculated. The median GALAD score was higher among patients with HCC versus cirrhosis controls (8.0 vs. -4.1, P < 0.01). The AUC of the GALAD score for HCC detection was 0.86 (95% CI, 0.79-0.92). At a cut-off value of -0.37, the GALAD score had a sensitivity of 0.81 and a specificity of 0.86. The AUC (95% CI) was 0.87 (0.80-0.95) and 0.81 (0.67-0.94) in hepatitis B virus-positive and hepatitis B virus-negative patients, respectively. The GALAD score has a high accuracy for HCC detection. It has great potential to improve HCC surveillance in sub-Saharan Africa where imaging resources are limited. Significance: The GALAD score or its relevant modifications have the potential to aid in improving HCC surveillance efforts in low-resource settings in sub-Saharan Africa. This could enhance early detection rates of HCC and potentially improve survival rates in resource-limited settings.

Advances in Understanding Hepatocellular Carcinoma Vasculature: Implications for Diagnosis, Prognostication, and Treatment

Hepatocellular carcinoma (HCC) progresses through multiple stages of hepatocarcinogenesis, with each stage characterized by specific changes in vascular supply, drainage, and microvascular structure. These vascular changes significantly influence the imaging findings of HCC, enabling non-invasive diagnosis. Vascular changes in HCC are closely related to aggressive histological characteristics and treatment responses. Venous drainage from the tumor toward the portal vein in the surrounding liver facilitates vascular invasion, and the unique microvascular pattern of vessels that encapsulate the tumor cluster (known as a VETC pattern) promotes vascular invasion and metastasis. Systemic treatments for HCC, which are increasingly being used, primarily target angiogenesis and immune checkpoint pathways, which are closely intertwined. By understanding the complex relationship between histopathological vascular changes in hepatocarcinogenesis and their implications for imaging findings, radiologists can enhance the accuracy of imaging diagnosis and improve the prediction of prognosis and treatment response. This, in turn, will ultimately lead to better patient care.

Clinical glycoproteomics: methods and diseases

Glycoproteins, representing a significant proportion of posttranslational products, play pivotal roles in various biological processes, such as signal transduction and immune response. Abnormal glycosylation may lead to structural and functional changes of glycoprotein, which is closely related to the occurrence and development of various diseases. Consequently, exploring protein glycosylation can shed light on the mechanisms behind disease manifestation and pave the way for innovative diagnostic and therapeutic strategies. Nonetheless, the study of clinical glycoproteomics is fraught with challenges due to the low abundance and intricate structures of glycosylation. Recent advancements in mass spectrometry-based clinical glycoproteomics have improved our ability to identify abnormal glycoproteins in clinical samples. In this review, we aim to provide a comprehensive overview of the foundational principles and recent advancements in clinical glycoproteomic methodologies and applications. Furthermore, we discussed the typical characteristics, underlying functions, and mechanisms of glycoproteins in various diseases, such as brain diseases, cardiovascular diseases, cancers, kidney diseases, and metabolic diseases. Additionally, we highlighted potential avenues for future development in clinical glycoproteomics. These insights provided in this review will enhance the comprehension of clinical glycoproteomic methods and diseases and promote the elucidation of pathogenesis and the discovery of novel diagnostic biomarkers and therapeutic targets.

Regulation of Fuzheng Huayu capsule on inhibiting the fibrosis-associated hepatocellular carcinogenesis

In the current study, bioinformatics analysis of the hepatocellular carcinoma (HCC) dataset was conducted with the hepatoprotective effect of the Fuzheng Huayu (FZHY) capsule against the diethylnitrosamine-induced HCC progression analyzed. Eight cell clusters were defined and tanshinone IIA, arachidonic acid, and quercetin, compounds of the FZHY capsule, inhibit HCC progression-related fibrosis by regulating the expression of PLAU and IGFBP3. Combined with the ameliorative effect of the FZHY capsule against liver dysfunctions and expression of PLAU and IGFBP3, our study confirmed the effect of the FZHY capsule on inhibiting the fibrosis-associated HCC progression via regulating the expression of PLAU and IGFBP3.

Investigate potential clinical benefits and linear energy transfer sparing utilizing proton arc therapy for hepatocellular carcinoma

PURPOSE

To investigate the potential clinical benefits and dose-averaged Linear Energy Transfer (LETd) sparing, utilizing proton arc plan for hepatocellular carcinoma (HCC) patients in comparison with Intensity Modulated Proton Therapy (IMPT).

METHODS

Ten HCC patients have been retrospectively selected. Two planning groups were created: Proton Arc plans using Monaco ver. 6 and the clinical IMPT plan. Both planning groups used the same robustness parameters. The prescription dose is 67.5 Gy (RBE) in 15 fractions of the Clinical Target Volume (CTV). Robustness evaluations were performed to ensure dose coverage. Normal Tissue Complicated Probability (NTCP) model was utilized to predict the possibility of Radiation-Induced Liver Disease (RILD) and evaluate the potential benefit of proton arc therapy. LETd calculation and evaluation were performed as well.

RESULTS

Proton arc plan has shown better dosimetric improvements of most Organ-At-Risks (OARs). More specifically, the liver mean dose has been significantly reduced from 14.7 GyE to 10.62 GyE compared to the IMPT plan. The predicted possibility of RILD has also been significantly reduced for cases with a large and deep liver target where healthy liver tissue sparing is a challenge. Additionally, proton arc therapy could increase the average LETd in the target and reduce LETd in adjacent OARs.

CONCLUSIONS

The potential clinical benefit of utilizing proton arc therapy HCC varies depending on the patient-specific geometry. With more freedom, proton arc therapy can offer a better dosimetric plan quality in the challenge cases, which might not be feasible using the current IMPT technique.

Evaluation of 3-O-β-D-galactosylated resveratrol-loaded polydopamine nanoparticles for hepatocellular carcinoma treatment

In our previous studies, 3-O-β-D-galactosylated resveratrol (Gal-Res) was synthesized by structural modification and then 3-O-β-D-galactosylated resveratrol polydopamine nanoparticles (Gal-Res NPs) were successfully prepared to improve the bioavailability and liver distribution of Res. However, the pharmacodynamic efficacy and specific mechanism of Gal-Res NPs on hepatocellular carcinoma remain unclear. Herein, liver cancer model mice were successfully constructed by xenograft tumor modeling. Gal-Res NPs (34.2 mg/kg) significantly inhibited tumor growth of the liver cancer model mice with no significant effect on their body weight and no obvious toxic effect on major organs. Additionally, in vitro cellular uptake assay showed that Gal-Res NPs (37.5 μmol/L) increased the uptake of Gal-Res by Hepatocellular carcinoma (HepG2) cells, and significantly inhibited the cell migration and invasion. The experimental results of Hoechst 33342/propyl iodide (PI) double staining and flow cytometry both revealed that Gal-Res NPs could remarkably promote cell apoptosis. Moreover, the Western blot results revealed that Gal-Res NPs significantly regulated the Bcl-2/Bax and AKT/GSK3β/β-catenin signaling pathways. Taken together, the in vitro/in vivo results demonstrated that Gal-Res NPs significantly improved the antitumor efficiency of Gal-Res, which is a potential antitumor drug delivery system.

Nrf2/ASPM axis regulated vasculogenic mimicry formation in hepatocellular carcinoma under hypoxia

BACKGROUND

Hypoxic microenvironment is a common feature of most solid tumors including hepatocellular carcinoma (HCC). Vasculogenic mimicry (VM) formation by tumor cells could provide blood supply to tumor cells under hypoxia. NFE2 like basic leucine zipper (bZIP) transcription factor 2 (Nrf2), a regulator of cellular homeostasis, may promote tumor progression in the hypoxic conditions. However, the role and regulatory mechanisms of Nrf2 in HCC are not fully elucidated.

METHODS

Nrf2 and assembly factor for spindle microtubules (ASPM) expression modulations were conducted by lentiviral transfections. Western blot, immunofluorescence, ChIP-qPCR, dual-luciferase reporter gene assay, flow cytometry, RNA sequencing, multiple bioinformatics databases analysis, cell function assays in vitro, mouse model in vivo and human HCC tissues were employed to assess the effect of Nrf2/ASPM axis on HCC progression under hypoxia.

RESULTS

Nrf2 and ASPM expression facilitated epithelial-mesenchymal transition (EMT), cancer stem cells (CSCs) feature, and VM formation of HCC cells under hypoxia. Furthermore, Nrf2-regulated ASPM expression, via binding directly to the promoter region of ASPM and transcriptionally promoting ASPM expression. ASPM re-expression in Nrf2 knockdown cells or ASPM knockdown in Nrf2 overexpression cells reversed the cellular function caused by Nrf2. Meantime, retinol metabolism pathway was disrupted following abnormal ASPM expression. Nrf2/ASPM axis in murine models accelerated tumor growth and VM, corroborating in vitro findings. All-trans retinoic acid treatment reversed stemness and VM of HCC cells in vitro and in vivo. Clinically, Nrf2 and ASPM expressions were related to poor prognosis of HCC patients.

CONCLUSIONS

Nrf2 drives EMT, CSCs characteristics and VM in HCC under hypoxia through the modulation of ASPM. Retinol metabolism pathway was dysregulated in HCC cells with ASPM overexpression. Nrf2/ASPM axis and related pathway provided potential therapeutic target for HCC.

DRD4 promotes chemo-resistance and cancer stem cell-like phenotypes by mediating the activation of the Akt/β-catenin signaling axis in liver cancer

BACKGROUND

Liver cancer stem cells (LCSCs) significantly impact chemo-resistance and recurrence in liver cancer. Dopamine receptor D4 (DRD4) is known to enhance the cancer stem cell (CSC) phenotype in glioblastoma and correlates with poor prognosis in some non-central nervous system tumors; however, its influence on LCSCs remains uncertain.

METHODS

To investigate the gene and protein expression profiles of DRD4 in LCSCs and non-LCSCs, we utilized transcriptome sequencing and Western blotting analysis. Bioinformatics analysis and immunohistochemistry were employed to assess the correlation between DRD4 expression levels and the pathological characteristics of liver cancer patients. The impact of DRD4 on LCSC phenotypes and signaling pathways were explored using pharmacological or gene-editing techniques. Additionally, the effect of DRD4 on the protein expression and intracellular localization of β-catenin were examined using Western blotting and immunofluorescence.

RESULTS

DRD4 expression is significantly elevated in LCSCs and correlates with short survival in liver cancer. The expression and activity of DRD4 are positive to resistance, self renewal and tumorigenicity in HCC. Mechanistically, DRD4 stabilizes β-catenin and promotes its entry into the nucleus via activating the PI3K/Akt/GSK-3β pathway, thereby enhancing LCSC phenotypes.

CONCLUSIONS

Inhibiting DRD4 expression and activation offers a promising targeted therapy for eradicating LCSCs and relieve chemo-resistance.

Temporal trends in prevalence of liver cancer and etiology-specific liver cancer from 1990 to 2019

BACKGROUND

Liver cancer (LC) remains a major cause of cancer death worldwide. Grasping prevalence trends is key to informing strategies for control and prevention. We analyzed the global, regional and national trends in LC prevalence and its major causes from 1990 to 2019.

METHODS

We obtained LC age-standardized prevalence rate (ASPR) estimates from the Global Burden of Disease study 2019 and assessed trends using Joinpoint regression. LC cases were categorized into those due to hepatitis B virus (HBV), hepatitis C virus (HCV), alcohol use, nonalcoholic steatohepatitis (NASH) and other causes.

RESULTS

While the ASPR of LC has shown a global decrease, there are specific regions where an increase in ASPR has been observed, with the highest rates in America. HBV remained the leading cause of LC (41.45 %) but significant increases occurred for HCV, alcohol use and NASH. Prevalence correlated with socioeconomic development. High-income countries had higher LC rates from HCV and alcohol but lower HBV-related LC. In high-income nations, LC prevalence climbs; the converse holds in middle- and low-income countries.

CONCLUSIONS

Despite a global ASPR decrease, LC due to HCV, NASH, and alcohol is rising. Prevention strategies must prioritize HBV vaccination, HCV treatment, and alcohol regulation.

IMPACT

The study informs targeted LC control policies and emphasizes the importance of continued monitoring and regional cooperation to combat LC.

Incidence of liver cancer in young adults according to the Global Burden of Disease database 2019

BACKGROUND AND AIMS

The worldwide burden of cancer is increasing in younger populations. However, the epidemiology of primary liver cancer remains understudied in young adults compared to other cancer forms.

APPROACH AND RESULTS

This study analyzed data from the Global Burden of Disease study between 2010 and 2019 to assess the age-standardized incidence, mortality, and disability-adjusted life years associated with primary liver cancer in the young (15-49 y), stratified by region, nation, sociodemographic index, and sex. The study found a global estimate of 78,299 primary liver cancer cases, 60,602 deaths, and 2.90 million disability-adjusted life years in the young population. The Western Pacific region exhibited the highest burden in 2019, showing the most significant increase compared to other regions between 2010 and 2019. More than half of the countries worldwide have undergone an increase in primary liver cancer incidence rates in young adults. Around 12.51% of deaths due to primary liver cancer occur in young individuals. Throughout the study period, there was a significant decline in primary liver cancer mortality due to most etiologies, except for metabolic dysfunction-associated steatotic liver disease-attributable primary liver cancer (annual percentage change + 0.87%, 95% CI: 0.70%-1.05%) and alcohol-attributable primary liver cancer (annual percentage change + 0.21%, 95% CI: 0.01%-0.42%). The limitations of the Global Burden of Disease database include reliance on the quality of primary data and possible underestimation of alcohol consumption.

CONCLUSIONS

Over the past decade, there has been a marked increase in the burden of primary liver cancer, especially that originating from steatotic liver disease. This trend calls for the development of urgent and comprehensive strategies to mitigate this rising burden globally.

Incidence and survival of pediatric and adult hepatocellular carcinoma, United States, 2001-2020

BACKGROUND

Hepatocellular carcinoma accounts for approximately 80 % of liver neoplasms. Globally, hepatocellular carcinoma ranks as the third most lethal cancer, with the number of deaths expected to further increase by 2040. In adults, disparities in incidence and survival are well described while pediatric epidemiology is not well characterized. We describe incidence and survival for pediatric (ages 0-19 years) hepatocellular carcinoma cases and compare these measures to adults (ages ≥ 20 years) diagnosed with hepatocellular carcinoma.

METHODS

We assessed incidence data from the US Cancer Statistics database during 2003-2020 and 5-year survival from the National Program of Cancer Registries during 2001-2019. Incidence trends were determined by annual percent change (APC) and average APC (AAPC) using joinpoint regression. Five-year survival was evaluated by relative survival, and all-cause survival was estimated using multivariate Cox modeling. Corresponding 95 % confidence intervals (CI) were calculated for all analyses.

RESULTS

Incidence rate per 100,000 persons was 0.056 (95 %CI:0.052-0.060) for pediatric cases and 7.793 (7.767-7.819) for adults. Incidence was stable in the pediatric population (0.3 AAPC, - 1.1 to 1.7). In contrast, after periods of increase, incidence declined in adults after 2015 (-1.5 APC). Relative survival increased over time for both pediatric and adult ages and was higher for children and adolescents (46.4 %, 95 %CI:42.4-50.3) than adults (20.7 %, 95 %CI:20.5-20.9). Regression modeling showed that non-Hispanic Black race and ethnicity was associated with higher risk of death in children and adolescents (1.48, 95 %CI:1.07-2.05) and adults (1.11, 95 %CI:1.09-1.12) compared to non-Hispanic white race and ethnicity.

CONCLUSIONS

Between 2003 and 2020 in the United States, pediatric incidence was stable while incidence in adults began to decline after 2015. Survival was higher across all stages for children and adolescents compared to adults. Non-Hispanic Black race and ethnicity showed a higher risk of death for both age groups. Further studies could explore the factors that influence these outcome disparities.

Expression of PSMA in Tumor-Associated Vasculature Predicts Poorer Survival in Patients With Hepatocellular Carcinoma and Is Likely Associated With PD-L1

BACKGROUND

PSMA (prostate-specific membrane antigen) is a type II transmembrane glycoprotein recently found to be expressed in hepatocellular carcinoma (HCC). We aimed to characterize the expression pattern of PSMA in HCC and its association with clinicopathologic parameters and other biomarkers.

METHODS

Immunohistochemical studies for PSMA were performed on a previously established tissue microarray of 103 surgically resected HCC.

RESULTS

Conceivable PSMA expression in ≥5% tumor-associated vasculature (TAV) was considered positive, and was identified in 56 (54.4%) tumors. Eight (7.8%) tumors also showed membranous/cytoplasmic and/or canalicular staining in tumor cells. By chi-square tests, only PSMA-positive TAV was associated with moderate-to-poorly differentiated HCC and the modified higher tumor stage (P < .05). PSMA-positive TAV was not associated with age, sex, or expression of glypican-3, keratin 7, CD3, CD8, HHLA-2, but marginally correlated with programmed death-ligand 1 (PD-L1) expression (P = .052). Kaplan-Meier survival analysis revealed PSMA-positive TAV as an independent risk factor for poorer disease-specific survival (P = .008). Co-expression of PD-L1 did not ameliorate the adverse prognostication of PSMA-positive TAV. Membranous/cytoplasmic/canalicular expression of PSMA alone was not prognostically significant.

CONCLUSIONS

Our study confirmed that PSMA-positive TAV is a prospective diagnostic and prognostic biomarker for HCC. Co-expression of PSMA with PD-L1 may suggest potential crosstalk between the 2 proteins, likely regulating the tumor microenvironment.

Joint effects of sleep disturbance and renal function impairment on incident new-onset severe metabolic dysfunction-associated steatotic liver disease

AIM

To elucidate the effects of sleep parameters and renal function on the risk of developing new-onset severe metabolic dysfunction-associated steatotic liver disease (MASLD).

MATERIALS AND METHODS

The primary analysis involved a cohort of 305 257 participants. Multivariable Cox models were employed to calculate hazard ratios and 95% confidence intervals. Traditional mediation and two-step Mendelian randomization (MR) analyses were conducted to assess the associations and mediating roles of renal function indicators between sleep and new-onset severe MASLD.

RESULTS

Poor sleep score and renal function biomarker score (RFS) were associated with an increased risk of new-onset severe MASLD (all ptrend <0.001). Participants with poor sleep patterns and the highest RFS had a 5.45-fold higher risk of new-onset severe MASLD, compared to those with healthy sleep patterns and the lowest RFS (p < 0.001). The RFS could explain 10.08% of the correlations between poor sleep score and risk of new-onset severe MASLD. Additionally, MR analyses supported a causal link between insomnia and new-onset severe MASLD and revealed a mediating role of chronic kidney disease in the connection between insomnia and new-onset severe MASLD risk.

CONCLUSIONS

This study highlights the independent and combined associations of sleep parameters and renal function indicators with new-onset severe MASLD, underscoring the bidirectional communication of the liver-kidney axis and providing modifiable strategies for preventing MASLD.

Target prediction and potential application of dihydroartemisinin on hepatocarcinoma treatment

With high incidence of hepatocarcinoma and limited effective treatments, most patients suffer in pain. Antitumor drugs are single-targeted, toxicity, causing adverse side effects and resistance. Dihydroartemisinin (DHA) inhibits tumor through multiple mechanisms effectively. This study explores and evaluates safety and potential mechanism of DHA towards human hepatocarcinoma based on network pharmacology in a comprehensive way. Adsorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of DHA were evaluated with pkCSM, SwissADME, and ADMETlab. Potential targets of DHA were obtained from SwissTargetPrediction, Drugbank, TargetNET, and PharmMapper. Target gene of hepatocarcinoma was obtained from OMIM, GeneCards, and DisGeNET. Overlapping targets and hub genes were identified and analyzed for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome pathway. Molecular docking was utilized to investigate the interactions sites and hydrogen bonds. Cell counting kit-8 (CCK8), wound healing, invasion, and migration assays on HepG2 and SNU387 cell proved DHA inhibits malignant biological features of hepatocarcinoma cell. DHA is safe and desirable for clinical application. A total of 131 overlapping targets were identified. Biofunction analysis showed targets were involved in kinase activity, protein phosphorylation, intracellular reception, signal transduction, transcriptome dysregulation, PPAR pathway, and JAK-STAT signaling axis. Top 9 hub genes were obtained using MCC (Maximal Clique Centrality) algorithm, namely CDK1, CCNA2, CCNB1, CCNB2, KIF11, CHEK1, TYMS, AURKA, and TOP2A. Molecular docking suggests that all hub genes form a stable interaction with DHA for optimal binding energy were all less than - 5 kcal/mol. Dihydroartemisinin might be a potent and safe anticarcinogen based on its biological safety and effective therapeutic effect.

Targeting OXCT1-mediated ketone metabolism reprograms macrophages to promote antitumor immunity via CD8+ T cells in hepatocellular carcinoma

BACKGROUND & AIMS

The liver is the main organ of ketogenesis, while ketones are mainly metabolized in peripheral tissues via the critical enzyme 3-oxoacid CoA-transferase 1 (OXCT1). We previously found that ketolysis is reactivated in hepatocellular carcinoma (HCC) cells through OXCT1 expression to promote tumor progression; however, whether OXCT1 regulates antitumor immunity remains unclear.

METHODS

To investigate the expression pattern of OXCT1 in HCC in vivo, we conducted multiplex immunohistochemistry experiments on human HCC specimens. To explore the role of OXCT1 in mouse HCC tumor-associated macrophages (TAMs), we generated LysMcreOXCT1f/f (OXCT1 conditional knockout in macrophages) mice.

RESULTS

Here, we found that inhibiting OXCT1 expression in tumor-associated macrophages reduced CD8+ T-cell exhaustion through the succinate-H3K4me3-Arg1 axis. Initially, we found that OXCT1 was highly expressed in liver macrophages under steady state and that OXCT expression was further increased in TAMs. OXCT1 deficiency in macrophages suppressed tumor growth by reprogramming TAMs toward an antitumor phenotype, reducing CD8+ T-cell exhaustion and increasing CD8+ T-cell cytotoxicity. Mechanistically, high OXCT1 expression induced the accumulation of succinate, a byproduct of ketolysis, in TAMs, which promoted Arg1 transcription by increasing the H3K4me3 level in the Arg1 promoter. In addition, pimozide, an inhibitor of OXCT1, suppressed Arg1 expression as well as TAM polarization toward the protumor phenotype, leading to decreased CD8+ T-cell exhaustion and slower tumor growth. Finally, high expression of OXCT1 in macrophages was positively associated with poor survival in patients with HCC.

CONCLUSIONS

In conclusion, our results demonstrate that OXCT1 epigenetically suppresses antitumor immunity, suggesting that suppressing OXCT1 activity in TAMs could be an effective approach for treating liver cancer.

IMPACT AND IMPLICATIONS

The intricate metabolism of liver macrophages plays a critical role in shaping hepatocellular carcinoma progression and immune modulation. Targeting macrophage metabolism to counteract immune suppression presents a promising avenue for hepatocellular carcinoma treatment. Herein, we found that the ketogenesis gene OXCT1 was highly expressed in tumor-associated macrophages (TAMs) and promoted tumor growth by reprogramming TAMs toward a protumor phenotype. Pharmacological targeting or genetic downregulation of OXCT1 in TAMs enhances antitumor immunity and slows tumor growth. Our results suggest that suppressing OXCT1 activity in TAMs could be an effective approach for treating liver cancer.

Implementing a new HCV model of care for people who use drugs

Background & Aims

An estimated 50 million individuals have chronic hepatitis C virus (HCV) infection worldwide and people who use drugs (PWUD) are disproportionately affected. Persistent stigma and discrimination make it challenging for PWUD to access healthcare, potentially hindering HCV elimination progress in this population. To mitigate healthcare access barriers in PWUD, an HCV care model that simplified screening and linkage to care pathways was developed and rolled out in the Balearic Islands, Spain.

Methods

The prospective multicentre community model of care was implemented in 21 centres serving PWUD. This model involved: (1) participant recruitment and HCV antibody screening onsite via a point-of-care anti-HCV test, phlebotomy, or laboratory records; (2) HCV RNA, HBsAg and anti-HIV testing via a dried blood spot or phlebotomy; (3) linkage to specialist care and treatment prescription via telemedicine, when required; and (4) onsite monitoring of: (a) sustained virologic response (SVR) 4 and ≥12 weeks after treatment completion and; (b) potential new HCV infection or reinfection ∼1 year after phase 1 or SVR ≥12 monitoring. Care model acceptability was assessed.

Results

Between April 2021 and April 2023, 1,423 participants were recruited, of whom 464 (33%) were anti-HCV+ and 170 (12%) had detectable HCV RNA. Of the latter, 147 (86%) initiated therapy, of whom 124 (84%) completed it. SVR ≥12 monitoring was performed in 95 (77%) of these, of whom 88 (93%) had undetectable HCV RNA. Upon re-screening, four HCV reinfections were detected. Over 90% accepted study participation and screening and treatment decentralisation.

Conclusions

This adapted care model, which decentralised screening, diagnosis, and treatment, effectively increased healthcare access among PWUD, improving progress towards HCV elimination in this population in Spain.

Impact and implications

People who use drugs (PWUD) are among the most affected by chronic hepatitis C virus (HCV) infection globally. A simplified model of care was implemented in 21 centres serving this population across the Balearic Islands, Spain, to offer HCV care to 1,423 PWUD in 2021-2023. This decentralised screening, diagnosis, and treatment model resulted in an HCV cure rate of 93% of those who both completed therapy and were monitored post treatment completion. The Hepatitis C Free Balears model can guide the HCV elimination efforts of regional health authorities and other stakeholders in the rest of Spain and other parts of the world.

Sorafenib safety evaluation: Real-world analysis of adverse events from the FAERS database

Background

Sorafenib is approved for the targeted therapy of cancers such as liver cancer and renal cancer. Given its widespread use, drug-related adverse events have received attention, and the post-marketing regulatory link is crucial.

Objective

By using the FAERS database to mine the adverse events (AEs) related to sorafenib, comparing the association intensity of key AEs, and exploring potential drug-related AEs, it provides a reference for clinical medication.

Methods

Collect ADE data related to sorafenib in the FAERS database from 2006 to 2023. Standardize the data, and map adverse events to system organ classes and preferred terms. Analyze using various signal quantification techniques such as ROR, PRR, BCPNN, and MGPS.

Results

Among 18,520 adverse event reports (AERs) where sorafenib was the primary suspected drug, a total of 390 preferred terms (PTs) of adverse reactions were identified, covering 24 different system organ classes (SOCs). Specifically, the adverse events of sorafenib mainly involve the digestive system, skin and subcutaneous tissue, as well as non-specific physical discomfort including infection and injury. Among them, digestive system symptoms and skin toxicity are typical adverse reactions of sorafenib. We also observed uncommon but clearly strong AE signals, such as chloracne (n = 3, ROR 1756.39, PRR 1756.32, IC 8.78, EBGM 439.83), low-differentiated thyroid cancer (n = 4, ROR 585.47, PRR 585.44, IC 8.2, EBGM 293.22). It is worth noting that palmar-plantar erythrodysaesthesia syndrome (n = 2109, ROR 73.98, PRR 72.03, IC 6.01, EBGM 64.25) and hepatic encephalopathy (n = 457, ROR 37.44, PRR 37.23, IC 5.13, EBGM 35.07) have a higher incidence and signal intensity. In addition, we also observed some adverse events not mentioned in the official drug instructions, such as vitamin K deficiency or increased protein induced by antagonist II (PIVKA-II), abnormal alpha-fetoprotein, tumor metastasis, and splenic atrophy.

Conclusion

Sorafenib carries the risk of various adverse reactions while providing therapeutic effects. In clinical applications, physicians should closely monitor the occurrence of digestive system reactions, skin lesions, endocrine system lesions, as well as injuries, infections, and other events.

Outcomes and Complications of Image-Guided Percutaneous Tumour Ablation for Hepatocellular Carcinoma at the Irish National Liver Transplant Centre

Background: Image-guided tumour ablation is a minimally invasive treatment for early stage hepatocellular carcinoma (HCC). Our study reviews the complications and long term outcomes in patients treated at a tertiary referral centre. Methods: Retrospective study. All patients with HCC who underwent microwave ablation (MWA) or radiofrequency ablation (RFA) from 1st January 2014 to 31st December 2022 were identified. Treatment response of target lesion, complications, and survival were recorded. Results: One hundred seventy ablations were performed in 118 patients; 70% MWA, 30% RFA. Median radiological follow-up 21 months (range 3-107). Follow-up imaging was reported using LI-RADS and mRECIST. At first follow-up imaging, 94 patients had complete response (primary efficacy rate 80.3%) while 19.7% (n = 23) had residual disease. Fifteen of these had repeat ablation; 10 had complete response (secondary efficacy rate 85.6%). By end of study duration, 70.5% (n = 79) achieved sustained local complete response from single ablation without documented recurrence. 14.3% (n = 16) required more than one ablation of target lesion. Overall, 84.8% (n = 95) demonstrated long term local complete response to ablation. Complication occurred in 5.9% (n = 10); 40.0% Grade I, 40.0% Grade II, 10.0% Grade III, 10.0% Grade IV as per the CIRSE Classification. 1-, 3-, and 5-year overall survival (OS) rate was 97%, 68%, and 61% respectively. Mean OS was 5.3 years (median 4.7). No difference in OS (P = .7) or local progression free survival (P = .5) between patients treated with MWA versus RFA. Conclusion: This study demonstrates excellent long-term response to TA, with acceptable complication profile. No difference in survival between RFA versus MWA.