The prognostic correlation of AFP level at diagnosis with pathological grade, progression, and survival of patients with hepatocellular carcinoma. Sci Rep. 2017;7:12870. [PMID: 28993684 PMCID: PMC5634482 DOI: 10.1038/s41598-017-12834-1]

Preliminary Evaluation of Plasma circ_0009910, circ_0027478, and miR-1236-3p as Diagnostic and Prognostic Biomarkers in Hepatocellular Carcinoma

Circular RNAs (circRNAs) are increasingly recognized as significant regulators in multiple cancers, such as hepatocellular carcinoma (HCC), frequently affecting microRNA (miRNA) expression. The diagnostic and prognostic roles of circRNAs, specifically circ_0009910 and circ_0027478, in conjunction with miR-1236-3p, in HCC, have not yet been fully investigated. In this pilot study, we assessed the expression levels of circ_0009910, circ_0027478, and miR-1236-3p in plasma samples from 100 patients diagnosed with HCC and 50 healthy controls through reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR). The diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis, and correlations with clinicopathological features were examined. Circ_0009910 and circ_0027478 exhibited significant upregulation in patients with HCC (p < 0.05), whereas miR-1236-3p demonstrated downregulation (p < 0.05). Circ_0009910 demonstrated significant diagnostic accuracy (area under the curve [AUC] = 0.90), effectively differentiating HCC from controls and showing a correlation with tumor size, metastasis, and alpha-fetoprotein (AFP) levels (p < 0.05). Both circ_0009910 and circ_0027478 exhibited a positive correlation with clinicopathological features, whereas miR-1236-3p demonstrated an inverse correlation. Logistic regression validated the diagnostic and prognostic capabilities of these biomarkers. The results indicate that circ_0009910, circ_0027478, and miR-1236-3p, in conjunction with AFP three, present a promising diagnostic and prognostic profile for HCC. Additional validation in larger cohorts is required to establish their clinical utility.

Systemic therapy plus HAIC versus systemic therapy for hepatocellular carcinoma: a systematic review and meta-analysis

BACKGROUND

Hepatic arterial infusion chemotherapy (HAIC) exhibits synergistic anticancer effects with systemic therapy in treating hepatocellular carcinoma (HCC). The approach combining systemic therapy and HAIC is likely to establish a new survival benchmark for advanced HCC. However, related evidence is still lacking.

METHOD

PubMed, Embase, Cochrane Library, and Web of Science were searched from January 1990 to July 2024. The extracted data were pooled using fixed- or random-effects models and expressed as hazard ratios (HRs) or risk ratios (RRs) with corresponding 95% confidence intervals (CIs). Meta-regression, subgroup analysis, prognostic factor analysis, correlation analysis, as well as trial sequential analysis were further conducted.

RESULT

Seventeen trials involving 3070 participants were included. Patients receiving HAIC combined systemic therapy displayed superior overall survival (OS) (HR, 0.52; 95% CI, 0.48-0.58), progression-free survival (PFS) (HR, 0.54; 95% CI, 0.46-0.63), objective response rate (ORR) (RR, 2.20; 95% CI, 1.77-2.72) and disease control rate (RR, 1.21; 95% CI, 1.14-1.29) over systemic therapy. Combining HAIC resulted in higher incidences of grade ≥3 manageable adverse events. Subgroup analyses showed that HAIC could bring significant survival improvement for almost all specific populations; however, patients without portal vein tumor thrombosis might not benefit from it (HR, 0.74; 95% CI, 0.53-1.03). Prognostic factor analyses found extra HAIC was a protective factor for both OS (HR, 0.42; 95% CI, 0.34-0.51) and PFS (HR, 0.44; 95% CI, 0.36-0.53). Correlation analyses demonstrated a robust association between ORR and OS when applying systemic therapy with HAIC ( P -value = 0.031). In addition, trial sequential analyses visually showed the present data were compelling to draw reliable conclusions.

CONCLUSION

With manageable toxicity, integrating HAIC with systemic therapy could bring favorable survival benefits for HCC patients. Further evidence is necessary to standardize the integration of HAIC with first-line systemic therapy.

Knockdown of FANCI suppresses hepatocellular carcinoma development via the PI3K/Akt/GSK-3β pathway

Background

Abnormal expression of Fanconi anaemia complementation group I (FANCI) has been implicated in carcinogenesis. However, the precise role of FANCI in the development of hepatocellular carcinoma (HCC) remains unclear.

Materials & methods

We conducted a comprehensive bioinformatics analysis of FANCI's role based on HCC patient sequencing data in the TCGA and GEO databases. Then, we performed qPCR, Western blotting (WB), and immunohistochemistry (IHC) assays. SiRNA-mediated knockdown of FANCI was conducted, followed by CCK-8, EdU staining, and colony formation experiments to evaluate the impact of FANCI knockdown on HCC cell behaviour. Flow cytometry was employed to explore alterations in the cell cycle after FANCI knockdown in HCC cell lines. Furthermore, RNA sequencing was performed to investigate potential mechanisms following FANCI knockdown, and WB analysis was used to validate the corresponding pathway.

Results

Our bioinformatics analysis revealed elevated expression of FANCI in HCC, which was subsequently validated through qPCR, WB, and IHC assays. High expression of FANCI was significantly associated with a poor prognosis in HCC patients. Univariate and multivariate Cox regression analyses identified FANCI as an independent prognostic risk factor for HCC patients. Additionally, the coexpressed genes of FANCI were found to be associated with multiple cancer pathways. Knockdown of FANCI expression significantly inhibited HCC cell proliferation and colony formation by inducing cell cycle arrest. Further WB analysis revealed that FANCI knockdown suppressed the expression of Cyclin D1 and p-AKT while increasing the expression of GSK-3β in HCC cells. However, no significant differences were observed in the expression levels of AKT and PI3K.

Conclusion

Overall, our research provides substantial proof of FANCI's crucial function as an oncogene in HCC. It could serve as a potential prognostic marker, therapeutic target, and tumorigenic factor in HCC.

Survival and Its Predictors Among Patients Receiving Transarterial Chemoembolization for Hepatocellular Carcinoma in Ethiopia: A 6-Year Follow-Up Study

PURPOSE

To analyze survival and its predictors among patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE) in Ethiopia.

MATERIALS AND METHODS

We conducted a retrospective cohort study among patients who received TACE for HCC at MCM Hospital from December 1, 2016, to December 31, 2022. Data were extracted from patients' medical records, and vital status was ascertained from the patients' charts or by phone call to the next of kin. We used Kaplan-Meier estimator to determine survival functions and log-rank test to compare the survival functions in different groups. Predictors of survival were identified using a multivariable Cox proportional hazards regression model as expressed by adjusted hazard ratio (aHR).

RESULTS

Of the total 257 patients included in the study, 68.9% were male, with a mean age of 56.5 (±14.06) years, and 86% were diagnosed at the advanced stage of the cancer (Barcelona Clinic Liver Cancer-C). The median overall survival was 12.7 months (95% CI, 10.57 to 14.85), and the overall survival rate at 1 year, 2 years, 3 years, 4 years, 5 years, and 6 years was found to be 58.0% (95% CI, 51.8% to 63.8%), 24.1% (95% CI, 19.1% to 29.6%), 8.2% (95% CI, 5.1% to 11.7%), 7.0% (95% CI, 3.9% to 10.1%), 1.6% (95% CI, 0.4% to 3.1%), and 1.2% (95% CI, 0.1% to 2.7%), respectively. The probability of death was significantly increased by alpha-fetoprotein level <400 ng/mL (aHR, 5.72 [95% CI, 1.52 to 21.51]), albumin level (aHR, 5.03 [95% CI, 1.41 to 18.01]), and bilobar distribution (aHR, 5.67 [95% CI, 1.40 to 23.04]).

CONCLUSION

The findings of the study underscore the need for the expansion of preventive measures and treatment facilities to address the overwhelming burden of HCC in Ethiopia.

Prognostic significance of early alpha fetoprotein and des-gamma carboxy prothrombin responses in unresectable hepatocellular carcinoma patients undergoing triple combination therapy

Background

Recent advancements in combination therapy for unresectable hepatocellular carcinoma (uHCC) have shown promise, but reliable serological prognostic indicators are currently lacking for patients undergoing triple combination therapy of stereotactic body radiation therapy (SBRT), immunotherapy, and targeted therapy. We aimed to investigate the prognostic significance of early alpha fetoprotein (AFP) and des-gamma-carboxy prothrombin (DCP) responses in these patients.

Methods

This retrospective research included 115 uHCC patients treated with SBRT in combination with immunotherapy and targeted therapy (triple therapy) at our institution from April 2021 to December 2022. Participants were categorized into high AFP and high DCP cohorts based on baseline levels. AFP and DCP responses were defined as decreases from baseline of over 50% and 70%, respectively, according to ROC curve analysis. Differences in overall survival (OS), progression-free survival (PFS), and objective response rate (ORR) were assessed between the tumor biomarker response and non-response groups.

Results

Multivariate analysis indicated that AFP or DCP response at 6-8 weeks post-therapy significantly influenced ORR (high AFP cohort: odds ratio [OR] 5.50, 95% CI 2.04-14.83, p=0.001; high DCP cohort: OR 7.99, 95%CI 2.82-22.60, p<0.001). The median PFS was notably longer in tumor biomarker response groups (high AFP cohort: 13.7 vs 6.2 months, hazard ratio [HR] 0.36, 95% CI 0.20-0.62, p<0.001; high DCP cohort: 15.6 vs 9.3 months, HR 0.44, 95% CI 0.26-0.74, p=0.002). AFP or DCP response was associated with prolonged OS (high AFP cohort: not reached vs. 21.9 months, HR 0.47, 95% CI 0.22-0.99, p=0.047; high DCP cohort: not reached vs. 20.6 months, HR 0.35, 95% CI 0.14-0.86, p=0.022).

Conclusion

AFP or DCP response at 6-8 weeks post-therapy predicts better oncological outcomes in patients with uHCC treated with triple therapy.

Hepatocellular Carcinoma Surveillance Strategies: Major Guidelines and Screening Advances

BACKGROUND/OBJECTIVES

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with prognosis and treatment outcomes that are significantly influenced by the stage at diagnosis. Early detection through regular surveillance is crucial for improving patient outcomes, especially in high-risk groups such as those with cirrhosis or chronic hepatitis B. Geographic variations in HCC risk factors, including viral hepatitis and non-alcoholic fatty liver disease (NAFLD), have led to the development of different international surveillance guidelines. This review aims to compare and evaluate the surveillance strategies proposed by the Asian Pacific Association for the Study of the Liver (APASL), the American Association for the Study of Liver Diseases (AASLD), and the European Association for the Study of the Liver and European Organization for Research and Treatment of Cancer (EASL-EORTC).

METHODS

The review examined and compared major international guidelines on HCC surveillance, focusing on patient selection, imaging modalities, and the integration of biomarkers. We also explored recent advancements in screening techniques, including artificial intelligence and emerging biomarkers, to identify future directions for improving surveillance strategies.

RESULTS

Our analysis identified key differences in the guidelines, particularly in imaging modality preferences and the use of biomarkers for early detection. While all guidelines place emphasis on high-risk populations, the inclusion criteria and surveillance intervals vary. Additionally, novel technologies such as artificial intelligence show potential to enhance the accuracy and efficiency of HCC detection.

CONCLUSIONS

This review highlights the need to harmonize the international guidelines, particularly in regard to patients with non-cirrhotic NAFLD who remain under-represented in current surveillance protocols. Future research should focus on integrating emerging technologies and biomarkers to improve early detection and overall patient outcomes.

Lenvatinib, sintilimab combined interventional treatment vs bevacizumab, sintilimab combined interventional treatment for intermediate-advanced unresectable hepatocellular carcinoma

BACKGROUND

Bevacizumab and sintilimab combined interventional treatment (BeSiIT) and L envatinib and sintilimab combined interventional treatment (LeSiIT) are two commonly used therapeutic regimens for intermediate-advanced hepatocellular carcinoma (HCC) in clinical practice.

AIM

To compare the clinical efficacy and safety of BeSiIT and LeSiIT for the treatment of intermediate and advanced HCC.

METHODS

Patients diagnosed with intermediate-advanced HCC and initially treated with BeSiIT or LeSiIT in the Tianjin Medical University Cancer Institute and Hospital between February 2020 and July 2021 were included. The primary endpoint was progression-free survival (PFS), and the secondary endpoints were overall survival (OS), objective response rate (ORR), disease control rate (DCR), conversion rate, and treatment-related adverse events.

RESULTS

Total 127 patients met the inclusion criteria and were divided into BeSiIT and LeSiIT groups. Twenty-eight and fifty patients in the BeSiIT and LeSiIT groups, respectively, were assessed after 1:2 propensity score matching. PFS and OS rates were not significantly different between the two groups. No significant variations were noted in ORRs or DCRs according to the Response Evaluation Criteria in Solid Tumors (RECIST), and modified RECIST. BeSiIT group showed a better conversion rate than the LeSiIT group (P = 0.043). Both groups showed manageable toxicity profiles. Multivariate analysis showed that the independent factors associated with PFS were alpha-fetoprotein levels and carcinoembryonic antigen score.

CONCLUSION

In intermediate-to-advanced HCC, the BeSiIT and LeSiIT groups exhibited acceptable toxicities and comparable PFS, OS, and ORR.

The AFCRPLITY score for predicting the prognosis of immunotherapy combined with local-regional therapy in unresectable hepatocellular carcinoma

BACKGROUND

Immunotherapy combined with intra-arterial therapy (IAT) has shown great potential in the treatment of unresectable hepatocellular carcinoma (uHCC). However, there are currently no available biomarkers that can predict the prognosis of immune-based combined therapy.

OBJECTIVES

To establish a scoring method to predict prognosis in uHCC patients undergoing IAT plus immunotherapy.

METHODS

Between March 2019 and August 2022, uHCC patients undergoing IAT in combination with programmed cell death (ligand) 1 (PD-1)/PD-L1-based immunotherapy were retrospectively analyzed.

RESULTS

Among 1046 patients included, 780 patients were enrolled into hepatic arterial infusion chemotherapy immunotherapy cohorts (training set: n = 546, one center; external testing set: n = 234, three centers) and 266 patients were treated with trans-arterial chemoembolization (TACE) plus immunotherapy were enrolled into TACE immunotherapy cohort (validation set: n = 266). We developed the easy-to-apply alpha-fetoprotein (AFP), C-reactive protein (CRP), and platelet-to-lymphocyte ratio (PLR) in immunotherapy (AFCRPLITY) score and investigated the prognostic value of baseline variables on the disease control rate (DCR) and progression-free survival (PFS). HCC patients with low AFCRPLITY scores would have better PFS and DCRs than patients with high AFCRPLITY scores (AFCRPLITY 0: vs AFCRPLITY 1: vs AFCRPLITY 2: vs AFCRPLITY 3: p < 0.001 for PFS, p = 0.001 for DCRs) in the training set, which was confirmed in the external testing set and validation set. The highest level of CD8+ T cells was in the AFCRPLITY score = 0 group than the other two groups.

CONCLUSION

The AFCRPLITY score is associated with PFS and DCR in uHCC patients receiving IATs plus immunotherapy. This score may be helpful for counseling, but prospective validation is needed.

DESIGN

A retrospective, multi-institutional study.

TRIAL REGISTRATION

The study has been retrospectively registered at the Chinese Clinical Trial Registry (https://www.chictr.org.cn/, ChiCTR2300075828).

Identification of a novel molecular classification for hepatocellular carcinoma based on disulfideptosis-related genes and its potential prognostic significance

BACKGROUND

Globally, hepatocellular carcinoma (HCC) is one of the most prevalent and deadly malignant tumors. A recent study proposed disulfidptosis, a novel form of regulated cell death (RCD), offering a new avenue for identifying tumor prognosis biomarkers and developing novel therapeutic targets.

METHODS

Based on the expression data of 14 disulfideptosis-related genes extracted from public databases, a new molecular classification of HCC called the "disulfidptosis score" was constructed and its relationship to tumor immunity and prognosis was evaluated.

RESULTS

Based on the expression of disulfideptosis-related genes, we performed cluster analysis on HCC samples from the TCGA cohort, which classified these patients into three clusters: A, B, and C, and the differentially expressed genes of different clusters were analyzed. A disulfidptosis score model was constructed by differentially expressed genes associated with prognosis. Univariate and multivariate COX regression analysis showed that disulfidptosis score was an independent prognostic factor for HCC. In addition, in various disulfidptosis score groups, notable disparities were observed concerning the tumor immune microenvironment as well as the expression of immune checkpoint.

CONCLUSION

Disulfidptosis score have an important role in predicting HCC prognosis and help guide us in providing better immunotherapy options for patients.

The LOD paradox: When lower isn't always better in biosensor research and development

Biosensor research has long focused on achieving the lowest possible Limits of Detection (LOD), driving significant advances in sensitivity and opening up new possibilities in analysis. However, this intense focus on low LODs may not always meet the practical needs or suit the actual uses of these devices. While technological improvements are impressive, they can sometimes overlook important factors such as detection range, ease of use, and market readiness, which are vital for biosensors to be effective in real-world applications. This review advocates for a balanced approach to biosensor development, emphasizing the need to align technological advancements with practical utility. We delve into various applications, including the detection of cancer biomarkers, pathology-related biomarkers, and illicit drugs, illustrating the critical role of LOD within these contexts. By considering clinical needs and broader design aspects like cost-effectiveness, sustainability, and regulatory compliance, we argue that integrating technical progress with practicality will enhance the impact of biosensors. Such an approach ensures that biosensors are not only technically sound but also widely useable and beneficial in real-world applications. Addressing the diverse analytical parameters alongside user expectations and market demands will likely maximize the real-world impact of biosensors.

Real-world experience of lenvatinib-based therapy in patients with advanced hepatocellular carcinoma

BACKGROUND

Given the significant advancements in the management of hepatocellular carcinoma (HCC) and the emergence of novel treatment approaches, establishing reliable predictors has become crucial for optimizing patient selection and therapeutic sequencing in HCC. In this study, we aimed to investigate the prognostic factors and treatment efficacy associated with lenvatinib-based therapy.

METHODS

We retrospectively enrolled 53 patients receiving lenvatinib monotherapy, and 19 patients receiving lenvatinib plus immune checkpoint inhibitor combination therapy as their first-line systemic treatment for unresectable HCC at a single medical center. We employed univariate and multivariate Cox regression analyses to ascertain the factors influencing survival in these cohorts.

RESULTS

For lenvatinib monotherapy and the combination therapy, the objective response rates were 30.2% and 63.2%, respectively (P=0.03); the median progression-free survival (PFS) durations were 7 months [95% confidence interval (CI): 4.5-9.5] and 12 months (95% CI: 6.4-17.6), respectively (P=0.74); and the median overall survival (OS) was not reached in either group (P=0.93). Although patients receiving the combination therapy had a greater treatment response, no significant survival differences were observed between the lenvatinib monotherapy and combination therapy subgroups, even after inverse probability of treatment weighting (IPTW). Patients who received lenvatinib monotherapy could be stratified based on a combination of albumin-bilirubin (ALBI) grade (either grade 1 or 2a) and a neutrophil-lymphocyte ratio (NLR) of ≤5.8. Compared to the other subgroups combined, those who met both of these criteria exhibited PFS with a hazard ratio (HR) of 0.382 (95% CI: 0.168-0.871; P=0.02), corresponding to 11 and 5 months, respectively; and an OS (HR: 0.198, 95% CI: 0.043-0.920; P=0.04) of not reached versus 12 months, respectively, according to multivariate Cox regression analysis.

CONCLUSIONS

In our study cohort, there were no statistically significant differences observed in the survival rates between patients treated with lenvatinib monotherapy and those treated with a combination of lenvatinib and immunotherapy. The incorporation of ALBI grade and NLR facilitates the stratification of survival outcomes in patients with unresectable HCC undergoing lenvatinib monotherapy.

Female and diabetes are risk factors for alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II negative in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a common type of tumor with a high incidence. Alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II or des-gamma-carboxy prothrombin) are proven effective biomarkers for HCC. Combining them can enhance detection rates. However, when both AFP and PIVKA-II are negative, clinical diagnosis may be missed. This study aims to explore the risk factors for AFP and PIVKA-II negativity in HCC, thereby reducing missed diagnoses. A retrospective study enrolled 609 HCC patients at Shandong Public Health Clinical Center Affiliated with Shandong University from January 2010 to March 2022. Patients with negative AFP and PIVKA-II were the observed group, and others with at least 1 positive were controls. Epidemiological, clinical, laboratory, and radiological data were collected and analyzed to identify the frequency and factors influencing AFP and PIVKA-II negativity. Receiver operating characteristic (ROC) curves were used to assess the prediction model's ability to detect negative AFP and PIVKA-II in HCC. Gender (P = .045, 95% confidence interval [95%CI] = 1.013-3.277), diabetes mellitus (P = .018, 95%CI = 1.151-4.422), tumor size (P = .000, 95%CI = 0.677-0.841), glutamate transpeptidase (P = .003, 95%CI = 0.239-0.737), total bilirubin (P = .001, 95%CI = 0.235-0.705), and hepatitis B virus-associated infections (P = .007, 95%CI = 0.077-0.661) were significantly associated with AFP and PIVKA-II negativity in HCC. The prediction model had an area under curve of 0.832 (P < .001, 95%CI = 0.786-0.877), with a sensitivity of 81.2% and specificity of 75.5% in all HCC patients. Female diabetic patients with levels closer to normal for glutamate transpeptidase and total bilirubin are more likely to develop AFP and PIVKA-II-negative HCC. Imaging is crucial for screening liver cancer in these patients.

Meta analysis of radiofrequency ablation versus surgical resection in small and large nodule of hepatocellular carcinoma

INTRODUCTION

Although studies have indicated comparable outcomes between RFA and surgical resection in early HCC, there is still unclear evidence of benefit in larger tumor sizes. This study aimed to assess the efficacy and safety of RFA versus surgical resection in HCC patients, considering nodule size with a cutoff at 3 cm.

METHODS

A comprehensive search of multiple databases was conducted. The systematic review and meta-analysis followed the PRISMA guidelines.

RESULT

Surgical resection showed superior OS (HR = 1.18, 95% CI: 1.11-1.27, p = 0.008) and RFS (HR = 1.17, 95% CI: 1.11-1.25, p < 0.00001), compared to RFA. For nodules less than 3 cm or larger than 5 cm, the OS and RFS in the surgical resection group were significantly higher than those in the RFA group, while no significant differences were observed for nodules sized 3-5 cm. However, significantly more adverse events occurred following surgical resection (OR = 0.43, 95% CI: 0.33-0.56, P < 0.00001).

CONCLUSION

Surgical resection has better OS and RFS compared to RFA for liver tumors less than 3 cm or larger than 5 cm. For liver tumors sized 3-5 cm, RFA and surgical resection yield similar findings. RFA may become a preferable option in these 3-5 cm tumors due to its comparable efficacy and fewer adverse events for patients unsuitable for surgery.

Retinol-binding protein 4 as a promising serum biomarker for the diagnosis and prognosis of hepatocellular Carcinoma

BACKGROUND

The prognosis of hepatocellular carcinoma (HCC) is universally poor. Early diagnosis plays a pivotal role in determining the outcome of HCC.

METHODS

We employed a comparative proteomics approach to identify potential biomarkers and validated the application of retinol-binding protein 4 (RBP4) as a biomarker for HCC. RBP4 protein expression was examined in liver tissues from 80 HCC patients through immunohistochemical analysis. Serum RBP4 concentrations were measured by ELISA in a cohort comprising 290 HCC patients, matched 202 chronic hepatitis B patients and 269 healthy controls. Survival data were collected from HCC patients. The diagnostic and prognostic values of RBP4 were evaluated using receiver operating curve (ROC) analysis.

RESULTS

The validation results demonstrated a significant reduction in RBP4 levels in both liver tissues and serum samples from HCC patients. ROC analysis of the diagnostic value of RBP4 revealed an AUC of 0.879 (95 % CI: 0.854∼0.903) for HCC. When combined with AFP, the AUC increased to 0.919, with a sensitivity of 87.9 % and specificity of 80 %. Survival analysis revealed significantly reduced overall survival time in individuals with low-expression of RBP4 compared to those with high-expression. The joint prognostic model exhibited an AUC of 0.926 (95 % CI: 0.888∼0.964), which was significantly higher than that of AFP alone (AUC=0.809; P <0.0001).

CONCLUSIONS

RBP4 shows a great potential as a biomarker with appreciable diagnostic value, complementing the AFP in HCC diagnosis. Additionally, it holds promise as a prognostic biomarker that, when integrated into a combined prognostic model, could greatly improve HCC prognosis efficiency.

Non-invasive biomarkers prognostic of decompensation events in NASH cirrhosis: a systematic literature review

Liver cirrhosis due to nonalcoholic steatohepatitis (NASH) is a life-threatening condition with increasing incidence world-wide. Although its symptoms are unspecific, it can lead to decompensation events such as ascites, hepatic encephalopathy, variceal hemorrhage, and hepatocellular carcinoma (HCC). In addition, an increased risk for cardiovascular events has been demonstrated in patients with NASH. Pharmacological treatments for NASH cirrhosis are not yet available, one of the reasons being the lack in surrogate endpoints available in clinical trials of NASH cirrhosis. The feasibility of non-invasive prognostic biomarkers makes them interesting candidates as possible surrogate endpoints if their change following treatment would result in better outcomes for patients in future clinical trials of NASH cirrhosis. In this systematic literature review, a summary of the available literature on the prognostic performance of non-invasive biomarkers in terms of cardiovascular events, liver-related events, and mortality is outlined. Due to the scarcity of data specific for NASH cirrhosis, this review includes studies on NAFLD whose evaluation focuses on cirrhosis. Our search strategy identified the following non-invasive biomarkers with prognostic value in studies of NASH patients: NAFLD fibrosis score (NFS), Fibrosis-4 (FIB-4), aspartate aminotransferase (AST) to platelet ratio index (APRI), enhanced liver fibrosis (ELF™), BARD (BMI, AST/ALT (alanine aminotransferase) ratio, diabetes), Hepamet Fibrosis Score (HFS), liver enzymes (AST + ALT), alpha-fetoprotein, platelet count, neutrophil to lymphocyte ratio (NLR), Lysyl oxidase-like (LOXL) 2, miR-122, liver stiffness, MEFIB (liver stiffness measured with magnetic resonance elastography (MRE) + FIB-4), and PNPLA3 GG genotype. The aim of the present systematic literature review is to provide the reader with a summary of the non-invasive biomarkers with prognostic value in NASH cirrhosis and give an evaluation of their utility as treatment monitoring biomarkers in future clinical trials.

Exploring Selenoprotein P in Liver Cancer: Advanced Statistical Analysis and Machine Learning Approaches

Selenoprotein P (SELENOP) acts as a crucial mediator, distributing selenium from the liver to other tissues within the body. Despite its established role in selenium metabolism, the specific functions of SELENOP in the development of liver cancer remain enigmatic. This study aims to unravel SELENOP's associations in hepatocellular carcinoma (HCC) by scrutinizing its expression in correlation with disease characteristics and investigating links to hormonal and lipid/triglyceride metabolism biomarkers as well as its potential as a prognosticator for overall survival and predictor of hypoxia. SELENOP mRNA expression was analyzed in 372 HCC patients sourced from The Cancer Genome Atlas (TCGA), utilizing statistical methodologies in R programming and machine learning techniques in Python. SELENOP expression significantly varied across HCC grades (p < 0.000001) and among racial groups (p = 0.0246), with lower levels in higher grades and Asian individuals, respectively. Gender significantly influenced SELENOP expression (p < 0.000001), with females showing lower altered expression compared to males. Notably, the Spearman correlation revealed strong positive connections of SELENOP with hormonal markers (AR, ESR1, THRB) and key lipid/triglyceride metabolism markers (PPARA, APOC3, APOA5). Regarding prognosis, SELENOP showed a significant association with overall survival (p = 0.0142) but explained only a limited proportion of variability (~10%). Machine learning suggested its potential as a predictive biomarker for hypoxia, explaining approximately 18.89% of the variance in hypoxia scores. Future directions include validating SELENOP's prognostic and diagnostic value in serum for personalized HCC treatment. Large-scale prospective studies correlating serum SELENOP levels with patient outcomes are essential, along with integrating them with clinical parameters for enhanced prognostic accuracy and tailored therapeutic strategies.

Prognostic implications of preoperative, postoperative, and dynamic changes of alpha-fetoprotein and des-gamma (γ)-carboxy prothrombin expression pattern for hepatocellular carcinoma after hepatic resection: a multicenter observational study

BACKGROUND

The utility of pre- and post-operative alpha-fetoprotein (AFP) and des-gamma (γ)-carboxy prothrombin (DCP) expression patterns and their dynamic changes as predictors of the outcome of hepatic resection for hepatocellular carcinoma (HCC) has yet to be well elucidated.

METHODS

From a multicenter database, AFP and DCP data during the week prior to surgery and the first post-discharge outpatient visit (within 1-2 months after surgery) were collected from patients with HCC who underwent hepatectomy. AFP-DCP expression patterns were categorized according to the number of positive tumor markers (AFP ≥ 20ng/mL, DCP ≥ 40mAU/mL), including double-negative, single-positive, and double-positive. Changes in the AFP-DCP expression patterns were delineated based on variations in the number of positive tumor markers when comparing pre- and post-operative patterns.

RESULTS

Preoperatively, 53 patients (8.3%), 337 patients (52.8%), and 248 patients (38.9%) exhibited double-negative, single-positive, and double-positive AFP-DCP expression patterns, respectively. Postoperatively, 463 patients (72.6%), 130 patients (20.4%), and 45 patients (7.0%) showed double-negative, single-positive, and double-positive AFP-DCP expression patterns, respectively. Survival analysis showed a progressive decrease in recurrence-free (RFS) and overall survival (OS) as the number of postoperative positive tumor markers increased (both P < 0.001). Multivariate analysis showed that postoperative AFP-DCP expression pattern, but not preoperative AFP-DCP expression pattern, was an independent risk factor for RFS and OS. Further analysis showed that for patients with positive preoperative markers, prognosis gradually improves as positive markers decrease postoperatively. In particular, when all postoperative markers turned negative, the prognosis was consistent with that of preoperative double-negative patients, regardless of the initial number of positive markers.

CONCLUSIONS

AFP-DCP expression patterns, particularly postoperative patterns, serve as vital sources of information for prognostic evaluation following hepatectomy for HCC. Moreover, changes in AFP-DCP expression patterns from pre- to post-operation enable dynamic prognostic risk stratification postoperatively, aiding the development of individualized follow-up strategies.

Prognostic performance of MRI LI-RADS version 2018 features and clinical-pathological factors in alpha-fetoprotein-negative hepatocellular carcinoma

PURPOSE

To evaluate the role of the magnetic resonance imaging (MRI) Liver Imaging Reporting and Data System (LI-RADS) version 2018 features and clinical-pathological factors for predicting the prognosis of alpha-fetoprotein (AFP)-negative (≤ 20 ng/ml) hepatocellular carcinoma (HCC) patients, and to compare with other traditional staging systems.

METHODS

We retrospectively enrolled 169 patients with AFP-negative HCC who received preoperative MRI and hepatectomy between January 2015 and August 2020 (derivation dataset:validation dataset = 118:51). A prognostic model was constructed using the risk factors identified via Cox regression analysis. Predictive performance and discrimination capability were evaluated and compared with those of two traditional staging systems.

RESULTS

Six risk factors, namely the LI-RADS category, blood products in mass, microvascular invasion, tumor size, cirrhosis, and albumin-bilirubin grade, were associated with recurrence-free survival. The prognostic model constructed using these factors achieved C-index of 0.705 and 0.674 in the derivation and validation datasets, respectively. Furthermore, the model performed better in predicting patient prognosis than traditional staging systems. The model effectively stratified patients with AFP-negative HCC into high- and low-risk groups with significantly different outcomes (p < 0.05).

CONCLUSION

A prognostic model integrating the LI-RADS category, blood products in mass, microvascular invasion, tumor size, cirrhosis, and albumin-bilirubin grade may serve as a valuable tool for refining risk stratification in patients with AFP-negative HCC.

Predictive Value of Serum CYFRA 21-1 and CK19-2G2 for Tumor Aggressiveness and Overall Survival in Hepatitis C-Related Hepatocellular Carcinoma Among Egyptians: A Prospective Study

PURPOSE

Cytokeratin 19 fragment 21-1 (CYFRA 21-1) and cytokeratin 19 fragment 2G2 (CK 19-2G2) are two soluble fragments of cytokeratin 19 (CK 19) that can be detected in serum. CK 19-positive hepatocellular carcinoma (HCC) is characterized by an aggressive behavior and a poor outcome. This study aimed to assess the prognostic value of serum CYFRA 21-1 and CK 19-2G2 in predicting tumor aggressiveness and overall survival (OS) in patients with hepatic C virus (HCV)-related HCC.

METHODS

The current study included 138 patients with HCV-related HCC recruited from the Hepatobiliary and Interventional Radiology Units at Alexandria's main university hospitals and 40 healthy individuals as controls. Patients were assessed for clinical, radiological tumor characteristics, and aggressiveness index. Baseline serum CYFRA 21-1 and CK 19-2G2 levels were measured by enzyme-linked immunosorbent assay.

RESULTS

Elevated CYFRA 21-1 levels were associated with tumors size ≥ 5 cm (p < 0.001), malignant portal vein thrombosis (mPVT) (p < 0.001), distant metastasis (p = 0.030), ill-defined/infiltrative pattern (p = 0.010), and aggressiveness index > 4 (p = 0.045). Elevated CK19-2G2 levels were not associated with any clinical or radiological characteristics. Either or both elevated serum CYFRA 21-1 and CK 19-2G2 in combination with alpha-feto protein (AFP) ≥ 400 ng/ml have a better predictability for mPVT and ill-defined/infiltrative patterns (sensitivity (10-25%) and specificity (96-100%)). Elevated levels of CYFRA 21-1, CK 19-2G2, or AFP ≥ 400 ng/ml were associated with decreased 1-year OS.

CONCLUSIONS

Either or both elevated serum CYFRA 21-1 and CK 19-2G2 levels when added to AFP ≥ 400 ng/ml are specific but less sensitive biomarkers for predicting tumor aggressiveness. These biomarkers can be used independently to predict reduced 1-year OS in Egyptian patients with HCV-related HCC.

Peripheral blood platelet counts identify prognostically diverse clinical phenotypes in hepatocellular carcinoma

Background

The factors responsible for hepatocellular carcinoma (HCC) growth are not precisely known.

Aims

To study the clinical parameters associated with increases in maximum tumor diameter (MTD).

Methods

A new cohort of 944 prospectively accrued HCC patients was analyzed for large size associations.

Results

Patients were ordered into MTD terciles. Blood platelets, GGT and AST levels significantly increased and total bilirubin decreased with increase in MTD. Similar results were found only for platelets, in patients with low alpha-fetoprotein (AFP) levels, for whom biomarkers are scanty. Survival significantly decreased for patients with high platelet or GGT levels, even when AFP levels were low.Comparison of patients with low and high platelet levels showed that in the ≤6cm MTD group, patients with higher platelet numbers had lower total bilirubin and AST, and higher albumin, hemoglobin and percent patients with portal vein thrombosis (PVT) than those with lower platelets. Univariable logistic analysis on HCCs >6cm versus ≤6cm revealed significantly higher odds ratios for elevated blood platelet, AFP, GGT and ALKP levels. Cox regression analysis on death showed that in ≤6cm MTD patients, significant hazard ratios were for platelets, GGT, AFP, ALKP and PVT; but not for >6cm MTD patients, suggesting different mechanisms. Given the association of higher platelets with larger tumors and good liver function, their precursors are suggested to be small tumors with higher platelets and endogenous tumor factors. However, patients with low platelets and larger HCCs might have a different HCC lineage, likely associated with liver inflammation factors.

Conclusions

Blood platelet levels are a potential marker for HCC phenotype and prognosis, including in patients with low AFP. They may also be a therapeutic target.

Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma

BACKGROUND

Patients with alpha-fetoprotein (AFP)-positive hepatocellular carcinoma (HCC) have aggressive biological behavior and poor prognosis. Therefore, survival time is one of the greatest concerns for patients with AFP-positive HCC. This study aimed to demonstrate the utilization of six machine learning (ML)-based prognostic models to predict overall survival of patients with AFP-positive HCC.

METHODS

Data on patients with AFP-positive HCC were extracted from the Surveillance, Epidemiology, and End Results database. Six ML algorithms (extreme gradient boosting [XGBoost], logistic regression [LR], support vector machine [SVM], random forest [RF], K-nearest neighbor [KNN], and decision tree [ID3]) were used to develop the prognostic models of patients with AFP-positive HCC at one year, three years, and five years. Area under the receiver operating characteristic curve (AUC), confusion matrix, calibration curves, and decision curve analysis (DCA) were used to evaluate the model.

RESULTS

A total of 2,038 patients with AFP-positive HCC were included for analysis. The 1-, 3-, and 5-year overall survival rates were 60.7%, 28.9%, and 14.3%, respectively. Seventeen features regarding demographics and clinicopathology were included in six ML algorithms to generate a prognostic model. The XGBoost model showed the best performance in predicting survival at 1-year (train set: AUC = 0.771; test set: AUC = 0.782), 3-year (train set: AUC = 0.763; test set: AUC = 0.749) and 5-year (train set: AUC = 0.807; test set: AUC = 0.740). Furthermore, for 1-, 3-, and 5-year survival prediction, the accuracy in the training and test sets was 0.709 and 0.726, 0.721 and 0.726, and 0.778 and 0.784 for the XGBoost model, respectively. Calibration curves and DCA exhibited good predictive performance as well.

CONCLUSIONS

The XGBoost model exhibited good predictive performance, which may provide physicians with an effective tool for early medical intervention and improve the survival of patients.

Impact of metabolic dysfunction-associated steatotic liver disease on the efficacy of immunotherapy in patients with chronic hepatitis B-related hepatocellular carcinoma

OBJECTIVE

To investigate the impact of metabolic dysfunction-associated steatotic liver disease (MASLD) on the efficacy of immune checkpoint inhibitor (ICI)-based therapy in patients with chronic hepatitis B (CHB)-related hepatocellular carcinoma (HCC).

METHODS

A total of 155 patients with CHB-related HCC who received ICI-based therapy (in the Department of Hepatology, Tianjin Second People's Hospital and Department of Hepatobiliary Oncology, Tianjin Medical University Cancer Institute & Hospital) between April 2021 and December 2023 were evaluated. Patients were divided into two groups: MASLD concurrent with CHB [MASLD-CHB] (n = 38), and CHB (n = 117).

RESULTS

The median progression-free survival (PFS, 6.9 months vs. 9.3 months; P = 0.001), progressive disease (57.89% vs. 37.61%; P = 0.028), and disease control rate (42.11% vs. 62.39%; P = 0. 028) in the MASLD-CHB group were significantly worse than the CHB group. The median overall survival was not attained. The percentage of CD4+PD1+ (17. 56% vs. 8.89%; P < 0.001) and CD8+PD1+ T cells (10.50% vs. 7.42%; P = 0.005) in patient samples from the MASLD-CHB group were significantly higher than the CHB group. Concurrent MASLD [hazard ratio (HR) = 1.921; 95% CI, 1.138-3.245; P = 0.015] and alpha-fetoprotein levels after 3 months of treatment (HR = 2.412; 95% CI, 1.360-4.279; P = 0.003) were independent risk factors for PFS in all patients.

CONCLUSIONS

ICI-based therapy in patients with CHB-related HCC and concurrent MASLD resulted in poorer efficacy and shorter PFS compared to patients with CHB-related HCC alone.

Alpha-fetoprotein: Past, present, and future

Alpha-fetoprotein (AFP) is a glycoprotein that plays an important role in immune regulation with critical involvement in early human development and maintaining the immune balance during pregnancy. Postfetal development, the regulatory mechanisms controlling AFP undergo a shift and AFP gene transcription is suppressed. Instead, these enhancers refocus their activity to maintain albumin gene transcription throughout adulthood. During the postnatal period, AFP expression can increase in the setting of hepatocyte injury, regeneration, and malignant transformation. It is the first oncoprotein discovered and is routinely used as part of a screening strategy for HCC. AFP has been shown to be a powerful prognostic biomarker, and multiple HCC prognosis models confirmed the independent prognostic utility of AFP. AFP is also a useful predictive biomarker for monitoring the treatment response of HCC. In addition to its role as a biomarker, AFP plays important roles in immune modulation to promote tumorigenesis and thus has been investigated as a therapeutic target in HCC. In this review article, we aim to provide an overview of AFP, encompassing the discovery, biological role, and utility as an HCC biomarker in combination with other biomarkers and how it impacts clinical practice and future direction.

Intestinal Microbiome Associated with Efficacy of Atezolizumab and Bevacizumab Therapy for Hepatocellular Carcinoma

The combination of atezolizumab and bevacizumab has become the first-line treatment for patients with unresectable hepatocellular carcinoma (HCC). However, no studies have reported on specific intestinal microbiota associated with the efficacy of atezolizumab and bevacizumab. In this study, we analyzed fecal samples collected before treatment to investigate the relationship between the intestinal microbiome and the efficacy of atezolizumab and bevacizumab. A total of 37 patients with advanced HCC who were treated with atezolizumab and bevacizumab were enrolled. Fecal samples were collected from the patients, and they were divided into responder (n = 28) and non-responder (n = 9) groups. We compared the intestinal microbiota of the two groups and analyzed the intestinal bacteria associated with prognosis using QIIME2. The alpha and beta diversities were not significantly different between both groups, and the proportion of microbiota was similar. The relative abundance of Bacteroides stercoris and Parabacteroides merdae was higher in the responder group than in the non-responder group. When the prognosis was analyzed by the presence or absence of those bacteria, patients without both had a significantly poorer prognosis. Differences in intestinal microbiome are involved in the therapeutic effect of atezolizumab and bevacizumab.

Prognostic Role of Basal Serum Alpha-Fetoprotein in Patients with Hepatocellular Carcinoma Suitable for Curative Treatment

Background and Objectives: Serum alpha-fetoprotein (AFP) is a recognized affordable oncological marker in patients with hepatocellular carcinoma (HCC). However, AFP's prognostic role has been assessed mainly after specific treatments, and no unanimously recognized cut-offs have been identified. The aim of this study is to investigate the prognostic role of different basal AFP cut-offs on survival and HCC course. Materials and Methods: In this single-center, retrospective study, all patients newly diagnosed with HCC between January 2009 and December 2021 were prospectively enrolled. Only patients suitable for curative HCC treatments were included in the analyses. Patients were stratified according to AFP cut-offs of 20, 200, 400, and 1000 ng/mL, which were correlated with survival outcomes and clinical parameters. Results: A total of 266 patients were analyzed, with a median follow-up time of 41.5 months. Median overall survival (OS) of all cohort was 43 months. At the multivariate Cox-regression analysis, AFP value ≥ 1000 ng/mL correlated with impaired OS (1-year OS: 67% vs. 88%, 5-year OS: 1% vs. 43%; p = 0.005); other risk factors were tumor dimension ≥ 5 cm (HR 1.73; p = 0.002), Child-Pugh class B-C (HR 1.72; p = 0.002), BCLC stage A (vs. 0) (HR 2.4; p = 0.011), and malignant portal vein thrombosis (HR 2.57; p = 0.007). AFP ≥ 1000 ng/mL was also associated with a reduced recurrence-free survival (HR 2.0; p = 0.038), while starting from AFP ≥ 20 ng/mL, a correlation with development of HCC metastases over time (HR 3.5; p = 0.002) was seen. AFP values ≥ 20 ng/mL significantly correlated with tumor size and higher histological grading; starting from AFP values ≥ 400 ng/mL, a significant correlation with Child-Pugh class B-C and female gender was also observed. Conclusions: Basal AFP correlates with relevant outcomes in patients with HCC. It could help identify patients at a higher risk of worse prognosis who might benefit from personalized surveillance and treatment programs. Prospective studies are needed to confirm these results.

Utility of Alpha-Fetoprotein and Ultrasound in the Diagnosis and Prognosis of Patients with Hepatocellular Liver Cancer

Objective

To investigate the utility of alpha-fetoprotein (AFP) and ultrasound in the diagnosis and prognosis of patients with hepatocellular liver cancer (HCC).

Methods

Using retrospective convenience sampling, 401 patients with HCC who underwent transarterial chemoembolisation at the Department of Oncology of The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University between June 2015 and January 2020 were recruited and assigned to the case group. Simultaneously, patients matched to the case group in terms of gender and age but excluded for HCC were enrolled at a 1:1 ratio and classified as the control group. Relevant parameters were collected from both groups for comparison.

Results

Both AFP levels and ultrasound results demonstrated diagnostic value for patients with HCC (P < 0.05). Their combined use exhibited the highest diagnostic accuracy for the cancer, with an area under the curve of 0.896 (95% confidence interval [CI]: 0.876, 0.923), a sensitivity of 67.65% and a specificity of 91.22%. In terms of overall survival (OS), statistically significant differences in the OS rates were observed between the low-AFP (L-AFP) group and high-AFP (H-AFP) group as well as between the low-tumour-diameter (LTD) group and high-tumour-diameter (HTD) group (81.31% vs 52.22% and 85.11% vs 63.41%, respectively; P < 0.05). Regarding the progression-free survival (PFS), significant differences in the PFS rates were also noted between the L-AFP and H-AFP groups and between the LTD and HTD groups (81.31% vs 52.22% and 85.11% vs 63.41%, respectively; P < 0.05).

Conclusion

Ultrasound and AFP display notable distinctions when used in the diagnosis of HCC. The sensitivity of ultrasound as a standalone diagnostic tool surpasses that of AFP alone. However, their combined use results in much higher specificity than the use of either test individually. In addition, both techniques hold predictive value for patients' OS and PFS, enabling timely prognostic assessment.

OHCCPredictor: an online risk stratification model for predicting survival duration of older patients with hepatocellular carcinoma

BACKGROUND

Although the elderly constitute more than a third of hepatocellular carcinoma (HCC) patients, they have not been adequately represented in treatment and prognosis studies. Thus, there is not enough evidence to guide the treatment of such patients. The objective of this study is to identify the prognostic factors of older patients with HCC and to construct a new prognostic model for predicting their overall survival (OS).

METHODS

2,721 HCC patients aged ≥ 65 were extracted from the public database-Surveillance, Epidemiology, and End Results (SEER) and randomly divided into a training set and an internal validation set with a ratio of 7:3. 101 patients diagnosed from 2008 to 2017 in the First Affiliated Hospital of Zhejiang University School of Medicine were identified as the external validation set. Univariate cox regression analyses and multivariate cox regression analyses were adopted to identify these independent prognostic factors. A predictive nomogram-based risk stratification model was proposed and evaluated using area under the receiver operating characteristic curve (AUC), calibration curves, and a decision curve analysis (DCA).

RESULTS

These attributes including age, sex, marital status, T stage, N stage, surgery, chemotherapy, tumor size, alpha-fetoprotein level, fibrosis score, bone metastasis, lung metastasis, and grade were the independent prognostic factors for older patients with HCC while predicting survival duration. We found that the nomogram provided a good assessment of OS at 1, 3, and 5 years in older patients with HCC (1-year OS: (training set: AUC = 0.823 (95%CI 0.803-0.845); internal validation set: AUC = 0.847 (95%CI 0.818-0.876); external validation set: AUC = 0.732 (95%CI 0.521-0.943)); 3-year OS: (training set: AUC = 0.813 (95%CI 0.790-0.837); internal validation set: AUC = 0.844 (95%CI 0.812-0.876); external validation set: AUC = 0.780 (95%CI 0.674-0.887)); 5-year OS: (training set: AUC = 0.839 (95%CI 0.806-0.872); internal validation set: AUC = 0.800 (95%CI 0.751-0.849); external validation set: AUC = 0.821 (95%CI 0.727-0.914)). The calibration curves showed that the nomogram was with strong calibration. The DCA indicated that the nomogram can be used as an effective tool in clinical practice. The risk stratification of all subgroups was statistically significant (p < 0.05). In the stratification analysis of surgery, larger resection (LR) achieved a better survival curve than local destruction (LD), but a worse one than segmental resection (SR) and liver transplantation (LT) (p < 0.0001). With the consideration of the friendship to clinicians, we further developed an online interface (OHCCPredictor) for such a predictive function ( https://juntaotan.shinyapps.io/dynnomapp_hcc/ ). With such an easily obtained online tool, clinicians will be provided helpful assistance in formulating personalized therapy to assess the prognosis of older patients with HCC.

CONCLUSIONS

Age, sex, marital status, T stage, N stage, surgery, chemotherapy, tumor size, AFP level, fibrosis score, bone metastasis, lung metastasis, and grade were independent prognostic factors for elderly patients with HCC. The constructed nomogram model based on the above factors could accurately predict the prognosis of such patients. Besides, the developed online web interface of the predictive model provide easily obtained access for clinicians.

Construction and Validation of a Novel Nomogram Predicting Recurrence in Alpha-Fetoprotein-Negative Hepatocellular Carcinoma Post-Surgery Using an Innovative Liver Function-Nutrition-Inflammation-Immune (LFNII) Score: A Bicentric Investigation

Purpose

We developed a nomogram based on the liver function, nutrition, inflammation, and immunity (LFNII) score to predict recurrence-free survival (RFS) post-resection in patients with hepatocellular carcinoma (HCC) exhibiting alpha-fetoprotein (AFP) negativity (AFP ≤20 ng/mL).

Patients and Methods

Clinical data of 661 patients diagnosed with alpha-fetoprotein-negative hepatocellular carcinoma (AFP-NHCC) who underwent surgical resection at two medical centers between 2012 and 2021 were collected. A total of 462 and 199 patients served as the training and validation sets, respectively. Pre-operative blood markers were collected and analyzed for LFNII. The LFNII score was formulated using the least absolute shrinkage and selection operator Cox regression model. A nomogram model was developed using the training set to incorporate other relevant clinicopathological indicators and predict postoperative recurrence. Model discrimination was assessed using the receiver operating characteristic curve, calibration was evaluated using a calibration curve, and clinical applicability was assessed using clinical decision curve analysis. A comparison with liver cancer staging was performed using the nomogram model. Finally, a cohort study was conducted to validate our findings.

Results

We derived the LFNII scores from nine indicators. Elevated LFNII scores correlated with unfavorable clinicopathological features. The LFNII score area under the curve revealed superior predictive efficacy at 1-, 2-, and 5-year RFS intervals, with values of 0.675, 0.658, and 0.633, respectively. Multivariate Cox analysis revealed that a high LFNII score independently increased RFS risk in patients with AFP-NHCC. The C-index of the LFNII-nomogram model was 0.686 (95% confidence interval [CI], 0.651-0.721). The nomogram model's clinical application value surpassed that of standard HCC staging systems.

Conclusion

The LFNII score-derived nomogram effectively predicted the RFS of patients with AFP-NHCC after curative resection.

Prediction of survival and analysis of prognostic factors for patients with AFP negative hepatocellular carcinoma: a population-based study

PURPOSE

Hepatocellular carcinoma (HCC) has a poor prognosis, and alpha-fetoprotein (AFP) is widely used to evaluate HCC. However, the proportion of AFP-negative individuals cannot be disregarded. This study aimed to establish a nomogram of risk factors affecting the prognosis of patients with AFP-negative HCC and to evaluate its diagnostic efficiency.

PATIENTS AND METHODS

Data from patients with AFP-negative initial diagnosis of HCC (ANHC) between 2004 and 2015 were collected from the Surveillance, Epidemiology, and End Results database for model establishment and validation. We randomly divided overall cohort into the training or validation cohort (7:3). Univariate and multivariate Cox regression analysis were used to identify the risk factors. We constructed nomograms with overall survival (OS) and cancer-specific survival (CSS) as clinical endpoint events and constructed survival analysis by using Kaplan-Meier curve. Also, we conducted internal validation with Receiver Operating Characteristic (ROC) analysis and Decision curve analysis (DCA) to validate the clinical value of the model.

RESULTS

This study included 1811 patients (1409 men; 64.7% were Caucasian; the average age was 64 years; 60.7% were married). In the multivariate analysis, the independent risk factors affecting prognosis were age, ethnicity, year of diagnosis, tumor size, tumor grade, surgery, chemotherapy, and radiotherapy. The nomogram-based model related C-indexes were 0.762 (95% confidence interval (CI): 0.752-0.772) and 0.752 (95% CI: 0.740-0.769) for predicting OS, and 0.785 (95% CI: 0.774-0.795) and 0.779 (95% CI: 0.762-0.795) for predicting CSS. The nomogram model showed that the predicted death was consistent with the actual value. The ROC analysis and DCA showed that the nomogram had good clinical value compared with TNM staging.

CONCLUSION

The age(HR:1.012, 95% CI: 1.006-1.018, P-value < 0.001), ethnicity(African-American: HR:0.946, 95% CI: 0.783-1.212, P-value: 0.66; Others: HR:0.737, 95% CI: 0.613-0.887, P-value: 0.001), tumor diameter(HR:1.006, 95% CI: 1.004-1.008, P-value < 0.001), year of diagnosis (HR:0.852, 95% CI: 0.729-0.997, P-value: 0.046), tumor grade(Grade 2: HR:1.124, 95% CI: 0.953-1.326, P-value: 0.164; Grade 3: HR:1.984, 95% CI: 1.574-2.501, P-value < 0.001; Grade 4: HR:2.119, 95% CI: 1.115-4.027, P-value: 0.022), surgery(Liver Resection: HR:0.193, 95% CI: 0.160-0.234, P-value < 0.001; Liver Transplant: HR:0.102, 95% CI: 0.072-0.145, P-value < 0.001), chemotherapy(HR:0.561, 95% CI: 0.471-0.668, P-value < 0.001), and radiotherapy(HR:0.641, 95% CI: 0.463-0.887, P-value:0.007) were independent prognostic factors for patients with ANHC. We developed a nomogram model for predicting the OS and CSS of patients with ANHC, with a good predictive performance.

Comparison of CT and gadoxetic acid-enhanced MRI with liver imaging reporting and data system to assess liver tumors before resection

BACKGROUND/PURPOSE

Hepatocellular carcinoma (HCC) can be noninvasively diagnosed through dynamic computed tomography (CT) and magnetic resonance imaging (MRI). We compared the diagnostic performance of CT and gadoxetic acid-enhanced MRI (EOB-MRI) in categorizing tumors by using the 2018 version of the Liver Imaging Reporting And Data System (LI-RADS v2018) and assessing liver tumors before resection.

METHODS

Data from a prospective cohort from October 2011 to March 2019 on 106 hepatic tumors in 96 patients with suspected malignancy were included in this study. We performed preoperative CT and EOB-MRI, and reviewed these images retrospectively. Ninety-seven tumors from 87 patients were pathologically diagnosed as HCC, and nine tumors were non-HCC. The clinical data, imaging characteristics, diagnostic performance, and outcomes of CT and EOB-MRI were analyzed and compared.

RESULTS

EOB-MRI had more favorable diagnostic performance (area under curve: 0.920 vs. 0.868) and significantly higher sensitivity (86.87% vs. 69.70%, p = 0.005) than did CT. However, the specificity of EOB-MRI did not differ from that of CT (88.89% vs. 88.89%, p > 0.999). Fourteen (14.5%) patients with pathologically verified HCC had lesions categorized as LI-RADS 4 through CT and as LI-RADS 5 through EOB-MRI. Patients with EOB-MRI-categorized but not CT-categorized LI-RADS 5 lesions had significantly longer overall survival than did those with LI-RADS 4 lesions (p < 0.001).

CONCLUSION

EOB-MRI had higher sensitivity than did CT in diagnosing HCC. Patients with EOB-MRI-categorized LI-RADS 5 lesions had more favorable outcomes than did those with LI-RADS 4 lesions after liver resection.

Analysis of the Expression of PRDX6 in Patients with Hepatocellular Carcinoma and its Effect on the Phenotype of Hepatocellular Carcinoma Cells

Objectives

This research aimed to study the expression of PRDX6 mRNA in hepatocellular carcinoma (HCC) and its effect on the prognosis of HCC. Moreover, the effect of PRDX6 gene knockdown on the proliferation, migration, and invasion of HepG2 cells mediated by lentivirus was also examined. This study offers a theoretical and experimental basis for further research on the mechanism of PRDX6 in liver cancer and new methods for clinical diagnosis and treatment.

Methods

RNA sequence data of 369 HCC patients were screened through the TCGA database, and the expression and clinical characteristics of PRDX6 mRNA were analyzed based on high-throughput RNA sequencing data. HepG2 cells were divided into WT, sh-NC and sh-PRDX6 groups. Real-time PCR and Western blot were used to detect the expression levels of the PRDX6 gene and protein, respectively. CCK8 method was used to detect the proliferation activity of HepG2 cells, scratch healing test was used to detect the migration ability, Transwell chamber was used to detect the invasion ability, and Western blot was used to detect the expression levels of PI3K/Akt/mTOR signaling pathway and Notch signaling pathway-related proteins.

Results

The expression of PRDX6 was significantly correlated with the gender, race, clinical stage, histological grade, and survival time of HCC patients (P < 0.05). Compared with that in WT and sh-NC groups, the expression level of PRDX6 protein in HCC patients was significantly lower (P < 0.01), the proliferation activity of HCC cells was significantly decreased (P < 0.05), and the migration and invasion ability was significantly decreased (P < 0.05) in the sh-PRDX6 group. The expression levels of PI3K, p-Akt, p-mTOR, Notch1, and Hes1 proteins in the sh-PRDX6 group were significantly lower than those in WT and sh-NC groups (P < 0.05).

Conclusion

The expression of PRDX6 may be closely related to the prognosis of HCC. Lentivirus-mediated PRDX6 knockdown can inhibit the proliferation, migration and invasion of HCC cells, which may be related to its regulating the PI3K/Akt/mTOR and Notch1 signaling pathways. PRDX6 is expected to be a new target for the diagnosis and treatment of liver cancer.

Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the most common primary liver tumor and is associated with high mortality rates. Approximately 80% of cases occur in cirrhotic livers, posing a significant challenge for appropriate therapeutic management. Adequate screening programs in high-risk groups are essential for early-stage detection. The extent of extrahepatic tumor spread and hepatic functional reserve are recognized as two of the most influential prognostic factors. In this retrospective multicenter study, we utilized machine learning (ML) methods to analyze predictors of mortality at the time of diagnosis in a total of 208 patients. The eXtreme gradient boosting (XGB) method achieved the highest values in identifying key prognostic factors for HCC at diagnosis. The etiology of HCC was found to be the variable most strongly associated with a poorer prognosis. The widely used Barcelona Clinic Liver Cancer (BCLC) classification in our setting demonstrated superiority over the TNM classification. Although alpha-fetoprotein (AFP) remains the most commonly used biological marker, elevated levels did not correlate with reduced survival. Our findings suggest the need to explore new prognostic biomarkers for individualized management of these patients.

Existing and emerging biomarkers in hepatocellular carcinoma: relevance in staging, determination of minimal residual disease, and monitoring treatment response: a narrative review

Background and Objective

With the development of novel active systemic therapies, the landscape of hepatocellular carcinoma (HCC) management is rapidly changing. However, HCC lacks sensitive and specific biomarkers to predict prognosis, monitor for minimal residual disease after locoregional therapy, and predict treatment response. In this review, we aim to summarize the best supporting evidence for refining existing, and development of novel biomarkers for staging, prognosis, determination of minimal residual disease and monitoring treatment response in HCC, focusing on those with evidence in clinical trials.

Methods

PubMed and Embase databases were searched using the keywords; hepatocellular carcinoma, biomarker, minimal residual disease, surveillance, prognosis, staging, alpha-fetoprotein (AFP), liquid biopsy, treatment response, adjuvant, immunotherapy. Relevant clinical studies were included.

Key Content and Findings

AFP remains the major workhorse as the most widely used biomarker in HCC, however, its lack of wide applicability due to the high proportion of patients with HCC who are AFP negative, limits its value throughout all stages of HCC management. Significant work has been done to combine AFP with other clinical and serologic factors to increase its accuracy and utility as a biomarkers. However, it is likely that other more novel biomarkers such as those obtained through liquid biopsy will provide the prognostic power necessary for applications such as detecting recurrence and predicting treatment response. Liquid biopsy provides not only a wealth of potential biomarkers including circulating tumor cells and cell-free RNA/DNA, but also the ability to examine the mutational characteristics of the tumor with next generation sequencing. While early evidence supports the potential impact of many new biomarkers, validation in large clinical trials is lacking.

Conclusions

This review highlights the paucity of sensitive and specific, widely applicable biomarkers, throughout all phases of management of HCC and summarizes evidence on biomarkers currently in use, as well as those in development and validation. Inclusion of biomarker analysis through clinical trials in HCC is critical to development of optimal therapeutic regimens, and improve patient outcomes.

Evaluation of serum thioredoxin as a hepatocellular carcinoma diagnostic marker

Background

Hepatocellular carcinoma (HCC) is one of the most prevalent and fatal malignancies worldwide. Following an increase in reactive oxygen species (ROS), cancer cells enter an oxidative stress state. As a result, these cells experience an increase in antioxidant activity to counteract oxidative stress. The thioredoxin (TRX) system is a ubiquitous mammalian antioxidant system that neutralizes ROS and maintains intracellular reduction oxidation (redox) balance, which is essential for HCC growth. However, the role of TRX protein in HCC remains largely unknown. Hence, we aimed to assess the diagnostic utility of serum TRX in patients with HCC. A total of 50 patients were consecutively recruited in this observational study. They were classified into three groups: an HCC group (25 patients), a cirrhosis group (15 patients with liver cirrhosis on top of chronic HCV infection), and a control group (10 healthy individuals). Serum TRX levels were measured using ELISA.

Results

Higher serum TRX levels were detected in the HCC group than in the cirrhosis and control groups (140.96 ± 12.70 vs 88.33 ± 10.34 vs 73.10 ± 13.22 ng/mL, respectively; P < 0.001). TRX was independently associated with the presence of HCC (P < 0.001). Regarding the detection of HCC, TRX at a cut-off value of 114 ng/mL had superior diagnostic performance to AFP with an AUC of 1.000, sensitivity of 100%, and specificity of 100%, whereas AFP at a cut-off value of 20.5 ng/mL had an AUC of 1.000, sensitivity of 100%, and specificity of 47%.

Conclusion

Thioredoxin has the potential to be an HCC diagnostic marker. The clinical significance of thioredoxin in HCC requires further investigation.

PIVKA-II combined with tumor burden score to predict long-term outcomes of AFP-negative hepatocellular carcinoma patients after liver resection

BACKGROUND

This study aimed to establish a simple prognostic scoring model based on tumor burden score (TBS) and PIVKA-II to predict long-term outcomes of α-fetoprotein (AFP)-negative hepatocellular carcinoma (HCC) patients.

METHODS

511 patients were divided into the training cohort (n = 305) and the validation cohort (n = 206) at a ratio of 6:4. Receiver operating characteristic curves (ROC) were established to identify cutoff values of TBS and PIVKA-II. Kaplan-Meier curves were used to analyze survival outcomes. The multivariable Cox regression was used to identify variables independently associated with survival outcomes. The predictive performance of the TBS-PIVKA II score (TPS) model was compared with Barcelona clinic liver cancer (BCLC) stage and American Joint Committee on Cancer (AJCC TNM) stage.

RESULTS

The present study established the TPS model using a simple scoring system (0, 1 for low/high TBS [cutoff value: 4.1]; 0, 1 for low/high PIVKA-II [cutoff value: 239 mAU/mL]). The TPS scoring model was divided into three levels according to the summation of TBS score and PIVKA-II score: TPS 0, TPS 1, and TPS 2. The TPS scoring model was able to stratify OS (training: p < 0.001, validation: p < 0.001) and early recurrence (training: p < 0.001; validation: p = 0.001) in the training cohort and the validation cohort. The TPS score was independently associated with OS (TPS 1 vs. 0, HR: 2.28, 95% CI: 1.01-5.17; TPS 2 vs. 0, HR: 4.21, 95% CI: 2.01-8.84) and early recurrence (TPS 1 vs. 0, HR: 3.50, 95% CI: 1.71-7.16; TPS 2 vs. 0, HR: 3.79, 95% CI: 1.86-7.75) in the training cohort. The TPS scoring model outperformed BCLC stage and AJCC TNM stage in predicting OS and early recurrence in the training cohort and the validation cohort. But the TPS scoring model was unable to stratify the late recurrence in the training cohort (p = 0.872) and the validation cohort (p = 0.458).

CONCLUSIONS

The TPS model outperformed the BCLC stage and AJCC TNM stage in predicting OS and early recurrence of AFP-negative HCC patients after liver resection, which might better assist surgeons in screening AFP-negative HCC patients who may benefit from liver resection.

In silico and in vivo anti-angiogenic validation on ethanolic extract of Curcuma longa and curcumin compound in hepatocellular carcinoma through mitogen activated protein kinase expression in male and female wistar rats

Hepatocellular carcinoma (HCC) is the most frequent primary malignancy of the liver. The aim of this study is to evaluate the comparative in silico and in vivo ameliorative potential of the ethanolic extract of Curcuma longa (EECL) in male and female Wistar rats administered N-nitrosodiethylamine-induced hepatocellular carcinoma. The MAPK compound was obtained from a protein data bank (PDB ID: 7AUV) for molecular docking. One hundred and twenty Wistar rats, were randomly selected into twelve groups (n = 5): Group A received regular diets as a basal control; groups B to G were administered 100 mg/kg NDEA twice in two weeks; while groups C to E received 200 mg/kg, 400 mg/kg, and 600 mg/kg of EECL; group F was treated with 200 mg/kg pure curcumin; and group G received 100 mg/kg Sylibon-140. Group H received only 200 mg/kg pure curcumin, and group I received 200 mg/kg of dimethylsulfoxide (DMSO). Groups J, K, and L received 200 mg/kg, 400 mg/kg and 600 mg/kg of EECL. MAPK and AFP mRNA in Wistar rats administered NDEA were upregulated as compared to EECL groups. In conclusion, the in silico and in vitro study validates the mitigating role of ethanolic extract of Curcuma longa and pure curcumin.

Meta-analysis of Prognostic Factors for Overall Survival Among Resected Patients with Spontaneous Ruptured Hepatocellular Carcinoma

OBJECTIVE

Our meta-analysis was performed to explore the prognostic factors for overall survival among post-hepatectomy patients with spontaneous ruptured hepatocellular carcinoma (SRHCC).

METHODS

PubMed, EMBASE, the Cochrane Library, and Web of Science were all searched up for relevant studies regarding prognostic factors with SRHCC. RevMan5.3 software and Stata 14.0 software were used for statistical analysis.

RESULTS

A total of nineteen studies with 1876 resected SRHCC patients were finally identified. Pooled results indicated that preoperative AFP (high vs low) (P = 0.003), concurrent liver cirrhosis (yes vs no) (P = 0.02), preoperative liver function (child A vs non-child A) (P = 0.0007), tumor size (large vs small) (P < 0.00001), tumor number (solitary vs multiple) (P = 0.002), satellite foci (yes vs no) (P = 0.0006), micro-vascular invasion (yes vs no) (P < 0.00001), type of hepatectomy (major or minor) (P = 0.04), surgical margin (R + vs R -) (P < 0.00001), and type of hepatectomy (emergency hepatectomy vs staged hepatectomy) (P = 0.005) were prognostic factors for overall survival among post-hepatectomy SRHCC patients.

CONCLUSION

Apart from some conventional prognostic factors identified in resected patients with SRHCC, numerous prognostic factors have also been unmasked, which might provide clinical reference to stratify patients with different therapeutic regimes.

Chronic metabolic stress drives developmental programs and loss of tissue functions in non-transformed liver that mirror tumor states and stratify survival

Under chronic stress, cells must balance competing demands between cellular survival and tissue function. In metabolic dysfunction-associated steatotic liver disease (MASLD, formerly NAFLD/NASH), hepatocytes cooperate with structural and immune cells to perform crucial metabolic, synthetic, and detoxification functions despite nutrient imbalances. While prior work has emphasized stress-induced drivers of cell death, the dynamic adaptations of surviving cells and their functional repercussions remain unclear. Namely, we do not know which pathways and programs define cellular responses, what regulatory factors mediate (mal)adaptations, and how this aberrant activity connects to tissue-scale dysfunction and long-term disease outcomes. Here, by applying longitudinal single-cell multi -omics to a mouse model of chronic metabolic stress and extending to human cohorts, we show that stress drives survival-linked tradeoffs and metabolic rewiring, manifesting as shifts towards development-associated states in non-transformed hepatocytes with accompanying decreases in their professional functionality. Diet-induced adaptations occur significantly prior to tumorigenesis but parallel tumorigenesis-induced phenotypes and predict worsened human cancer survival. Through the development of a multi -omic computational gene regulatory inference framework and human in vitro and mouse in vivo genetic perturbations, we validate transcriptional (RELB, SOX4) and metabolic (HMGCS2) mediators that co-regulate and couple the balance between developmental state and hepatocyte functional identity programming. Our work defines cellular features of liver adaptation to chronic stress as well as their links to long-term disease outcomes and cancer hallmarks, unifying diverse axes of cellular dysfunction around core causal mechanisms.

Chinese expert consensus statement on the clinical application of AFP/AFP-L3%/DCP using GALAD and GALAD-like algorithm in HCC

BACKGROUND

Primary hepatocellular carcinoma (HCC) is one of the most prevalent world-wide malignancies. Half of the newly developed HCC occurs in China. Optimizing the strategies for high-risk surveillance and early diagnosis are pivotal for improving 5-year survival. Constructing the scientific non-invasive detection technologies feasible for medical and healthcare institutions is among the key routes for elevating the efficacies of HCC identification and follow-up.

RESULTS

Based on the Chinese and international guidelines, expert consensus statements, literatures and evidence-based clinical practice experiences, this consensus statement puts forward the clinical implications, application subjects, detection techniques and results interpretations of the triple-biomarker (AFP, AFP-L3%, DCP) based GALAD, GALAD like models for liver cancer.

CONCLUSIONS

The compile of this consensus statement aims to address and push the reasonable application of the triple-biomarker (AFP, AFP-L3%, DCP) detections thus to maximize the clinical benefits and help improving the high risk surveillance, early diagnosis and prognosis of HCC.

Preoperative transarterial chemoembolization (TACE) + liver resection versus upfront liver resection for large hepatocellular carcinoma (≥5 cm): a systematic review and meta-analysis

BACKGROUND

Hepatocellular carcinoma (HCC) accounts for majority of primary liver cancer. Use of preoperative neoadjuvant transarterial chemoembolization (PN-TACE) may result in tumor shrinkage and improve resectability. This study aims to summarize the outcomes of PN-TACE versus upfront liver resection (Up-LR) in large HCC (≥5 cm).

METHODS

PubMed, Embase, The Cochrane Library, and Scopus were systematically searched till September 2022 for studies comparing PN-TACE versus Up-LR. The primary study outcomes were overall survival (OS), disease-free survival (DFS), and recurrence. Our secondary outcomes were postoperative morbidity and mortality.

RESULTS

There were 12 studies with 15 data sets including 3960 patients (PN-TACE n = 2447, Up-LR n = 1513). Majority (89.5%, n = 1250/1397) of patients had Child's A liver cirrhosis. Incidence of Child's B cirrhosis was higher in PN-TACE compared to Up-LR (Odds ratio (OR) 1.69, 95% CI: 1.18, 2.41, p = 0.004). Pooled hazard ratio (HR) for OS showed no significant difference between PN-TACE and Up-LR (HR 0.87, 95% CI: 0.64, 1.18, p = 0.37), but DFS was superior in PN-TACE (HR 0.79, 95% CI: 0.63, 0.99, p = 0.04). Subgroup analysis based on study design failed to show any significant effect in randomized controlled trials (n = 2/15 data sets). However, operating time (mean difference (MD) 31.94 min, 95% CI: 2.42, 61.45, p = 0.03) and blood loss (MD 190.93 ml, 95% CI: 10.22, 317.65, p = 0.04) were higher in PN-TACE. Intrahepatic and extrahepatic recurrence, post-operative morbidity and in-hospital mortality were comparable between PN-TACE and Up-LR.

CONCLUSION

In retrospective studies, PN-TACE resulted in superior DFS compared to Up-LR. However, this may be confounded by selection bias.

Validation of combined AFP, AFP-L3, and PIVKA II for diagnosis and monitoring of hepatocellular carcinoma in Chinese patients

Background

In this study, we aimed to investigate the performance of GALAD, GALAD-C, and GAAP models in Chinese population in comparison to our newly build statistical model.

Methods

In this study, we built the AALP model based on age, α-fetoprotein (AFP), AFP-L3, and prothrombin induced by vitamin K absence-II (PIVKA II) to differentiate between patients with HCC and patients with CLD. We then compared the serum levels of AFP-L3 and PIVKA II in patients with HCC who were defined as remission or progression and showed the prognostic value of combined biomarkers.

Results

The AUC value of the AALP model for HCC detection was 0.939 and AALP model exhibited a sensitivity of 81 % and a high specificity of 95 %. AALP model also exhibited good performance in the subgroups of patients with CLD. Furthermore, we demonstrated the consistency between imaging results and serum levels of AFP-L3 and PIVKA II.

Conclusions

The AALP model achieved a good diagnostic performance and a high sensitivity for predicting HCC patients. Our research also showed that AFP-L3 and PIVKA II are complementary to each other but irreplaceable in the clinical detection and monitoring of HCC.

Artificial intelligence-based reticulin proportionate area - a novel histological outcome predictor in hepatocellular carcinoma

AIMS

Reticulin stain is used routinely in the histological evaluation of hepatocellular carcinoma (HCC). The goal of this study was to assess whether the histological reticulin proportionate area (RPA) in HCCs predicts tumour-related outcomes.

METHODS AND RESULTS

We developed and validated a supervised artificial intelligence (AI) model that utilises a cloud-based, deep-learning AI platform (Aiforia Technologies, Helsinki, Finland) to specifically recognise and quantify the reticulin framework in normal livers and HCCs using routine reticulin staining. We applied this reticulin AI model to a cohort of consecutive HCC cases from patients undergoing curative resection between 2005 and 2015. A total of 101 HCC resections were included (median age = 68 years, 64 males, median follow-up time = 49.9 months). AI model RPA reduction of > 50% (compared to normal liver tissue) was predictive of metastasis [hazard ratio (HR) = 3.76, P = 0.004, disease-free survival (DFS, HR = 2.48, P < 0.001) and overall survival (OS), HR = 2.80, P = 0.001]. In a Cox regression model, which included clinical and pathological variables, RPA decrease was an independent predictor of DFS and OS and the only independent predictor of metastasis. Similar results were found in the moderately differentiated HCC subgroup (WHO grade 2), in which reticulin quantitative analysis was an independent predictor of metastasis, DFS and OS.

CONCLUSION

Our data indicate that decreased RPA is a strong predictor of various HCC-related outcomes, including within the moderately differentiated subgroup. Reticulin, therefore, may represent a novel and important prognostic HCC marker, to be further explored and validated.

Assessing textbook outcome after single large hepatocellular carcinoma resection

BACKGROUND

This study aimed to investigate the impact and predictors of an ideal surgical care following SLHCC resection.

METHODS

SLHCC patients who underwent LR in two tertiary hepatobiliary centers between 2000 and 2021 were retrieved from prospectively maintained databases. The quality of surgical care was measured by the textbook outcome (TO). Tumor burden was defined by the tumor burden score (TBS). Factors associated with TO were determined on multivariate analysis. The impact of TO on oncological outcomes was assessed using Cox regressions.

RESULTS

Overall, 103 SLHCC patients were included. Laparoscopic approach was considered in 65 (63.1%) patients and 79 (76.7%) patients presented with moderate TBS. TO was achieved in 54 (52.4%) patients. Laparoscopic approach was independently associated with TO (OR 2.57; 95% CI 1.03-6.64; p = 0.045). Within 19 (6-38) months of median follow up, patients who achieved TO had better OS compared to non-TO patients (1-year OS: 91.7% vs. 66.9%; 5-year OS: 83.4% vs. 37.0%, p < 0.0001). On multivariate analysis, TO was independently associated with improved OS, especially in non-cirrhotic patients (HR 0.11; 95% CI 0.02-0.52, p = 0.005).

CONCLUSIONS

TO achievement could be a relevant surrogate marker of improved oncological care following SLHCC resection in non-cirrhotic patients.

In Vitro and In Vivo Synergistic Antitumor Activity of Albumin-Coated Oleic Acid-Loaded Liposomes toward Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the most lethal and prevalent cancers, closely associated with cirrhosis and fibrosis. This study aimed to assess the antitumor activity of oleic acid-liposomes (uncoated liposomes) upon coating with albumin against HCC. The in vitro studies revealed the high safety of the prepared uncoated and albumin-coated liposomes to normal HFB-4 cells (EC100 of 35.57 ± 0.17 and 79.133 ± 2.92 µM, respectively) with significant anticancer activity against HepG-2 cells with IC50 of 56.29 ± 0.91 and 26.74 ± 0.64 µM, respectively. The albumin-coated liposomes revealed superior apoptosis induction potential (80.7%) with significant upregulation of p53 gene expression (> 7.0-fold), compared to OA. The in vivo study revealed that the administration of uncoated or albumin-coated liposomes (100 mg/kg) for six weeks markedly retarded the DENA-induced HCC in Wistar albino rates through regulating the liver enzymes, total bilirubin level, pro-inflammatory cytokines, and oxidative stress. Accordingly, the current study supports the in vitro and in vivo chemo-preventive feature of albumin-coated liposomes against HCC through modulation of apoptosis, improvement of the immune response, reduction of inflammation, and restoration of impaired oxidative stress, which is the first reported to the best of our knowledge.

Radiomics models for preoperative prediction of the histopathological grade of hepatocellular carcinoma: A systematic review and radiomics quality score assessment

OBJECTIVE

To systematically review the efficacy of radiomics models derived from computed tomography (CT) or magnetic resonance imaging (MRI) in preoperative prediction of the histopathological grade of hepatocellular carcinoma (HCC).

METHODS

Systematic literature search was performed at databases of PubMed, Web of Science, Embase, and Cochrane Library up to 30 December 2022. Studies that developed a radiomics model using preoperative CT/MRI for predicting the histopathological grade of HCC were regarded as eligible. A pre-defined table was used to extract the data related to study and patient characteristics, characteristics of radiomics modelling workflow, and the model performance metrics. Radiomics quality score and the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) were applied for research quality evaluation.

RESULTS

Eleven eligible studies were included in this review, consisting of 2245 patients (range 53-494, median 165). No studies were prospectively designed and only two studies had an external test cohort. Half of the studies (five) used CT images and the other half MRI. The median number of extracted radiomics features was 328 (range: 40-1688), which was reduced to 11 (range: 1-50) after feature selection. The commonly used classifiers were logistic regression and support vector machine (both 4/11). When evaluated on the two external test cohorts, the area under the curve of the radiomics models was 0.70 and 0.77. The median radiomics quality score was 10 (range 2-13), corresponding to 28% (range 6-36%) of the full scale. Most studies showed an unclear risk of bias as evaluated by QUADAS-2.

CONCLUSION

Radiomics models based on preoperative CT or MRI have the potential to be used as an imaging biomarker for prediction of HCC histopathological grade. However, improved research and reporting quality is required to ensure sufficient reliability and reproducibility prior to implementation into clinical practice.

Development and validation of a nomogram to predict the recurrence of hepatocellular carcinoma patients with dynamic changes in AFP undergoing locoregional treatments

Background

Serum alpha-fetoprotein (AFP) is an important clinical indicator for screening, diagnosis, and prognosis of primary hepatocellular carcinoma (HCC). Our team's previous study showed that patients with negative AFP at baseline and positive AFP at relapse had a worse prognosis (N-P). Therefore, the aim of our study was to develop and validate a nomogram for this group of patients.

Methods

A total of 513 patients with HCC who received locoregional treatments at Beijing You'an Hospital, Capital Medical University, from January 2012 to December 2019 were prospectively enrolled. Patients admitted from 2012 to 2015 were assigned to the training cohort (n = 335), while 2016 to 2019 were in the validation cohort (n =183). The clinical and pathological features of patients were collected, and independent risk factors were identified using univariate and multivariate Cox regression analysis as a basis for developing a nomogram. The performance of the nomogram was evaluated by C-index, receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) curves in the training and validation cohorts.

Results

The content of the nomogram includes gender, tumor number, tumor size, lymphocyte, direct bilirubin (DBIL), gamma-glutamyl transferase (GGT), and prealbumin. The C-index (0.717 and 0.752) and 1-, 3-, and 5-year AUCs (0.721, 0.825, 0.845, and 0.740, 0.868, 0.837) of the training and validation cohorts proved the good predictive performance of the nomogram. Calibration curves and DCA curves suggested accuracy and net clinical benefit rates. The nomogram enabled to classify of patients with dynamic changes in AFP into three groups according to the risk of recurrence: low risk, intermediate risk, and high risk. There was a statistically significant difference in RFS between the three groups in the training and validation cohorts (P<0.001).

Conclusion

The nomogram developed and validated in this study had good predictive power for patients with dynamic changes in AFP.

AFP deletion leads to anti-tumorigenic but pro-metastatic roles in liver cancers with concomitant CTNNB1 mutations

HCC remains one of the most prevalent and deadliest cancers. Serum AFP level is a biomarker for clinical diagnosis of HCC, instead the contribution of AFP to HCC development is clearly highly complex. Here, we discussed the effect of AFP deletion in the tumorigenesis and progression of HCC. AFP deletion in HepG2 cells inhibited the cell proliferation by inactivating PI3K/AKT signaling. Surprisingly, AFP KO HepG2 cells appeared the increasing metastatic capacity and EMT phenotype, which was attributed to the activation of WNT5A/β-catenin signal. Further studies revealed that the activating mutations of CTNNB1 was closely related with the unconventional pro-metastatic roles of AFP deletion. Consistently, the results of DEN/CCl4-induced HCC mouse model also suggested that AFP knockout suppressed the growth of HCC primary tumors, but promoted lung metastasis. Despite the discordant effect of AFP deletion in HCC progression, a drug candidate named OA showed the potent suppression of HCC tumor growth by interrupting AFP-PTEN interaction and, importantly, reduced the lung metastasis of HCC via angiogenesis suppression. Thus, this study demonstrates an unconventional effect of AFP in HCC progression, and suggests a potent candidate strategy for HCC therapy.

The outcomes and prognostic factors of patients with hepatocellular carcinoma and normal serum alpha fetoprotein levels

BACKGROUND

Alpha fetoprotein (AFP) is the most widely used tumor marker for hepatocellular carcinoma (HCC). Nevertheless, few studies have investigated the prognostic factors of HCC patients with normal serum AFP levels.

METHODS

We retrospectively enrolled 2198 patients with HCC and normal serum AFP levels (<20 ng/mL) from 2007 to 2020. Overall survival (OS) rates were calculated by the Kaplan-Meier method, and analyses of the prognostic factors were performed using a Cox proportional hazard model.

RESULTS

Among the enrolled patients, 1385 (63%) patients were in the low-normal AFP group (serum AFP levels ≤7 ng/mL), and 813 (37%) patients were in the high-normal AFP group (serum AFP levels between 7 and 20 ng/mL). The high-normal AFP group had poorer liver functional reserve, more multiple tumors, and smaller tumor size compared to those in the low-normal AFP group. After a median follow-up of 32.4 months, 942 patients died, and the 5-year OS rate was 54.4%. The 5-year OS rates were 57.4% and 49.8% in the low-normal AFP group and high-normal AFP group, respectively (p = 0.001). A multivariate analysis showed the independent prognostic factors of poor OS were no anti-viral therapy, advanced albumin-bilirubin grades, the presence of vascular invasion, tumor size ≥5 cm, and non-curative treatment modalities. Serum AFP levels were not associated with OS according to the multivariate analysis.

CONCLUSION

Liver functional reserve, anti-viral therapy, tumor size, vascular invasion, and treatment modalities, determined the outcomes of HCC patients with normal serum AFP levels, but serum AFP levels did not.

p53-Bad* in a Hepatocellular Carcinoma Mouse Model

Recent advances in liver cancer treatments have not changed the fact that the majority of patients will not survive the disease. In order to advance future liver cancer treatments, this work presents an exploration of various iterations of the liver cancer specific AFP promoter as well as the gene construct p53-Bad*. p53-Bad* is a mitochondrially targeted re-engineered p53 therapy that has shown previous success in a zebrafish HCC model. Both the most promising AFP promoter and p53-Bad* were packaged in an adenoviral delivery system and tested in vitro in liver cancer cell lines. Finally, mixed results for adenoviral p53-Bad* in vivo are presented, and this work suggests future modifications to study parameters in order to further explore the potential of p53-Bad* as a potential liver cancer therapeutic.