AFP-L3 for the diagnosis of early hepatocellular carcinoma: A meta-analysis

New insights into biomarkers and risk stratification to predict hepatocellular cancer

Hepatocellular carcinoma (HCC) is the third major cause of cancer death worldwide, with more than a doubling of incidence over the past two decades in the United States. Yet, the survival rate remains less than 20%, often due to late diagnosis at advanced stages. Current HCC screening approaches are serum alpha-fetoprotein (AFP) testing and ultrasound (US) of cirrhotic patients. However, these remain suboptimal, particularly in the setting of underlying obesity and metabolic dysfunction-associated steatotic liver disease/steatohepatitis (MASLD/MASH), which are also rising in incidence. Therefore, there is an urgent need for novel biomarkers that can stratify risk and predict early diagnosis of HCC, which is curable. Advances in liver cancer biology, multi-omics technologies, artificial intelligence, and precision algorithms have facilitated the development of promising candidates, with several emerging from completed phase 2 and 3 clinical trials. This review highlights the performance of these novel biomarkers and algorithms from a mechanistic perspective and provides new insight into how pathological processes can be detected through blood-based biomarkers. Through human studies compiled with animal models and mechanistic insight in pathways such as the TGF-β pathway, the biological progression from chronic liver disease to cirrhosis and HCC can be delineated. This integrated approach with new biomarkers merit further validation to refine HCC screening and improve early detection and risk stratification.

Clinical observation of nivolumab combined with cabozantinib in the treatment of advanced hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is a particularly serious kind of liver cancer. Liver cancer ranks third in terms of mortality rate worldwide, putting it among the leading causes of deaths from cancer. HCC is the primary kind of liver cancer and makes up the vast majority of cases, accounting for approximately 90% of occurrences. Numerous research have verified this information. the progress of fatty liver, alcohol induced cirrhosis, smoking habits, obesity caused by overweight, and metabolic diseases such as diabetes. The treatment strategies for HCC can be divided into two categories: One is curative treatment, including liver transplantation, surgical resection, and ablation therapy or selective arterial radiation embolization, aimed at completely eliminating the lesion; Another type is non curative treatment options, including transarterial chemoembolization and systemic therapy, which focus on controlling disease progression and prolonging patient survival. The majority of HCC patients are found to be in an advanced stage and need systemic therapy. Sorafenib and lenvatinib are frequently used as first-line medications in traditional HCC treatment to slow the disease's progression. For second-line treatment, regorafenib, cabozantinib, or remdesizumab are used to inhibit tumors through different mechanisms and prolong survival. In recent years, with the in-depth exploration of the pathogenesis and progression mechanism of HCC, as well as the rapid progress within the domain of tumor immunotherapy, the treatment prospects for advanced HCC patients have shown a positive transformation. This transformation is reflected in the fact that more and more patients are gradually gaining significant and considerable therapeutic advantages from advanced immunotherapy regimens, bringing unprecedented improvements to their treatment outcomes. In order to enable activated T cells to attack tumor cells, immune checkpoint inhibitors interfere with the inhibitory.

AIM

To evaluate the effects of nivolumab in combination with cabozantinib on patient tumor markers and immune function, as well as the therapeutic efficacy of this combination in treating advanced HCC, a study was conducted.

METHODS

In all, 100 patients with advanced HCC who were brought to our hospital between July 2022 and July 2023 and who did not match the requirements for surgical resection had their clinical data thoroughly analyzed retrospectively in this study. Among them, half of the patients (50 cases) only received oral cabozantinib as a single treatment regimen (set as the control group), while the other half of the patients (50 cases) received intravenous infusion of nivolumab in addition to oral cabozantinib (set as the observation group). The objective of the probe is to examine the variations in disease control rate (DCR) and objective response rate (ORR) between two groups; At the same time, changes in the levels of T lymphocyte subsets (CD3+, CD4+, CD8+) and tumor markers, including AFP, GP-73, and AFP-L3, were evaluated; In addition, changes in liver and kidney function indicators and adverse reactions during treatment were also monitored. For patients with advanced HCC, this research also calculated and analyzed the progression free survival of two patient groups throughout the course of a 12-month follow-up to assess the effectiveness and safety of this therapeutic approach.

RESULTS

Upon comparing baseline information for both groups of subjects before treatment, it was found that no statistically significant alterations had occurred (P > 0.05). After the therapeutic intervention, the observation group and control group's ORR and DCR differed statistically significantly (P < 0.05). The observation group's scores significantly improved. Subsequent examination revealed that the observation group's T lymphocyte subset levels had significantly changed, mostly exhibiting an increase in CD3+, CD4+, and CD4+/CD8+ levels while CD8+ levels had comparatively dropped. There was a significant difference (P < 0.05) between these changes and those in the control group. The observation group also showed positive improvements in tumor markers; AFP, GP-73, and AFP-L3 levels were considerably lower in the group under observation than in the control group, with statistically significant differences (P < 0.05). When liver function was assessed, total bilirubin and alanine aminotransferase were found to be considerably lower in the observation group than in the control group (P < 0.05). The incidence of adverse responses was not statistically significant (P > 0.05), indicating that the incidence of adverse responses did not differ significantly between the two groups.

CONCLUSION

When treating advanced HCC, nivolumab and cabozantinib together have the ability to increase T lymphocyte numbers, reduce tumor marker levels, effectively prolong survival time, and have better efficacy than simple control treatment, with good safety.

A stratified precision screening strategy for enhancing hepatitis B- and C-associated liver cancer detection: a prospective study

This study explores new screening strategies to enhance liver cancer screening effectiveness. In a prospective study, 2605 participants underwent baseline, 6-months self-reported, and 1-year follow-up screenings using abdominal ultrasonography, AFP, AFP-L3%, and DCP. The results demonstrated the GALADUS protocol exhibited superior performance with higher AUC (0.935 vs. 0.836; DeLong P < 0.001), sensitivity (91.0% vs. 70.8%; P < 0.001), detection (3.1% vs. 2.4%; P < 0.001), and early diagnosis rates (64.2% vs. 58.7%) compared to the AFP/US protocol. Notably, among individuals with an aMAP score ≥ 60, GALADUS had significantly outperformed AFP/US in AUC (0.923 vs. 0.826; DeLong P < 0.001), sensitivity (94.2% vs. 69.6%; P < 0.001), detection (9.7% vs. 7.2%; P < 0.001), and early diagnosis rates (63.1% vs. 54.2%). However, for those with an aMAP score < 60, GALADUS offered no significant advantages. Introducing the "aMAP triage" protocol, combining GALADUS for aMAP ≥ 60 and AFP/US for aMAP < 60, further enhanced AUC to 0.925 (DeLong P < 0.001), improved sensitivity by 19.1% (89.9% vs. 70.8%; P < 0.001), and increased detection (3.1% vs. 2.4%; P < 0.001) and early diagnosis rates (65.0% vs. 58.7%), being cost-effective compared to GALADUS. In conclusion, this study highlights the potential of a stratified precision screening strategy in identifying high-risk individuals, applying tailored early detection protocols to improve liver cancer screening efficacy.

Risk Factors for Intrahepatic Distant Recurrence After Radiofrequency Ablation for Hepatocellular Carcinoma

AIM

The incidence of intrahepatic distant recurrence (IDR) of hepatocellular carcinoma (HCC) still remains high after radiofrequency ablation (RFA). However, serum alpha-fetoprotein (AFP) has insufficient screening power. This study aimed to identify risk factors for IDR in patients with post-RFA HCC.

METHOD

A total of 112 patients with early-stage HCC who underwent RFA were divided into the IDR (n = 51) and non-IDR groups (n = 61). Serum samples were analyzed within 2 months after RFA.

RESULTS

The mean follow-up duration was 30.1 months. The recurrence-free survival rates at 1, 3, and 5 years were 20.8%, 42.4%, and 54.2%, respectively. The 1- and 5-year overall survival rates were 97.3% and 87.3%, respectively. Univariate and multivariate analyses revealed that the neutrophil-to-lymphocyte ratio [NLR, hazard ratio (HR) 2.40; 95% confidence interval (CI) 1.44-3.99] and lens culinaris agglutinin a-reactive fraction of alpha-fetoprotein (AFP-L3, (HR 1.02; 95% CI 1.01-1.04) were independently associated with post-RFA IDR. The cumulative recurrence rates at 5 years in the high NLR (≥ 2.24) and high AFP-L3 (≥ 0.2 ng/mL) groups were significantly higher than those in the low NLR (< 2.24) and low AFP-L3 (< 0.2 ng/mL) groups, respectively. The predictive accuracies of NLR, AFP-L3, and a composite index based on AFP-L3, and NLR for IDR were 66.2% (37.3% sensitivity, 95.1% specificity), 64.3% (47.1% sensitivity, 80.3% specificity), and 75.6% (68.6% sensitivity, 75.4% specificity), respectively.

CONCLUSION

The combined model had significantly better prediction performance than either NLR or AFP-L3 alone. The NLR combined with an absolute AFP-L3 level is an effective marker for IDR in patients with post-RFA HCC.

EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma

Liver cancer is the third leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) accounting for approximately 90% of primary liver cancers. Advances in diagnostic and therapeutic tools, along with improved understanding of their application, are transforming patient treatment. Integrating these innovations into clinical practice presents challenges and necessitates guidance. These clinical practice guidelines offer updated advice for managing patients with HCC and provide a comprehensive review of pertinent data. Key updates from the 2018 EASL guidelines include personalised surveillance based on individual risk assessment and the use of new tools, standardisation of liver imaging procedures and diagnostic criteria, use of minimally invasive surgery in complex cases together with updates on the integrated role of liver transplantation, transitions between surgical, locoregional, and systemic therapies, the role of radiation therapies, and the use of combination immunotherapies at various stages of disease. Above all, there is an absolute need for a multiparametric assessment of individual risks and benefits, considering the patient's perspective, by a multidisciplinary team encompassing various specialties.

Current status and new directions for hepatocellular carcinoma diagnosis

Liver cancer ranks as the sixth most common cancer globally, with hepatocellular carcinoma (HCC) accounting for approximately 75%-85% of cases. Most patients present with moderately advanced disease, while those with advanced HCC face limited and ineffective treatment options. Despite diagnostic efforts, no ideal tumor marker exists to date, highlighting the urgent clinical need for improved early detection of HCC. A key research objective is the development of assays that target specific pathways involved in HCC progression. This review explores the pathological origin and development of HCC, providing insights into the mechanistic rationale, clinical statistics, and the advantages and limitations of commonly used diagnostic tumor markers. Additionally, it discusses the potential of emerging biomarkers for early diagnosis and offers a brief overview of relevant assay methodologies. This review aims to summarize existing markers and investigate new ones, providing a basis for subsequent research.

Alpha-fetoprotein, glypican-3, and kininogen-1 as biomarkers for the diagnosis of hepatocellular carcinoma

The hepatocarcinoma (HCC) is the most important liver tumor. It represents 90% of liver cancer cases. One of the main problems is the limited prompt cancer diagnosis and the advanced stages where the chances of treatment are limited. The main diagnostic methods for HCC are imaging techniques and liver biopsy. With advances in technology, proteins as significant diagnostic biomarkers have increased. The objective of this review is to describe the role of Alpha-fetoprotein (AFP), Glipican 3 (GPC-3), and Kininogen 1 (KNG-1) as biomarkers for the diagnosis of hepatocellular carcinoma. A systematic search of studies was carried out in the literature and the diagnostic values of these proteins were compared. The results showed that the combined use of biomarkers increases the diagnostic capacity for the detection of hepatocellular carcinoma.

RACK1 inhibits ferroptosis of cervical cancer by enhancing SLC7A11 core-fucosylation

Receiver for Activated C Kinase 1 (RACK1) is a highly conserved scaffold protein that can assemble multiple kinases and proteins together to form complexes, thereby regulating signal transduction process and various cellular biological processes, including cell cycle regulation, differentiation, and immune response. However, the function and mechanism of RACK1 in cervical cancer remain incompletely understood. Here we identified that RACK1 could significantly suppress cell ferroptosis in cervical cancer cells. Mechanistically, RACK1 increased the expression of FUT8 by inhibiting miR-1275, which in turn promoted the FUT8-catalyzed core-fucosylation of cystine/glutamate antiporter SLC7A11, thereby inhibiting SLC7A11 degradation and cell ferroptosis. Our data highlight the role of RACK1 in cervical cancer progression and its suppression of ferroptosis via the RACK1/miR-1275/FUT8/SLC7A11 axis, suggesting that inhibiting this pathway may be a promising therapeutic approach for patients with cervical cancer.

Liquid Chromatography/Tandem Mass Spectrometry-Based Simultaneous Analysis of 32 Bile Acids in Plasma and Conventional Biomarker-Integrated Diagnostic Screening Model Development for Hepatocellular Carcinoma

Imaging tests, tumor marker (TM) screening, and biochemical tests provide a definitive diagnosis of hepatocellular carcinoma (HCC). However, some patients with HCC may present TM-negative results, warranting a need for developing more sensitive and accurate screening biomarkers. Various diseases exhibit increased blood levels of bile acids, biosynthesized from cholesterol in the liver, and they have been associated with HCC. Herein, we analyzed plasma bile acids using liquid chromatography/tandem mass spectrometry and integrated them with conventional biomarkers to develop a diagnostic screening model for HCC. Plasma samples were obtained from patients diagnosed with chronic hepatitis, hepatic cirrhosis (HC), and HCC. A QTRAP 6500 mass spectrometer and a Nexera liquid chromatograph with a YMC-Triart C18 analytical column were used. The mobile phase A was a 20 mmol/L ammonium formate solution, and mobile phase B was a methanol/acetonitrile mixture (1:1, v/v) with 20 mmol/L ammonium formate. After determining the concentrations of 32 bile acids, statistical analysis and diagnostic screening model development were performed. Plasma concentrations of bile acids differed between sample groups, with significant differences observed between patients with HC and HCC. By integrating bile acid results with conventional biochemical tests, a potential diagnostic screening model for HCC was successfully developed. Future studies should increase the sample size and analyze the data in detail to verify the diagnostic efficacy of the model.

MASLD-Related HCC: A Comprehensive Review of the Trends, Pathophysiology, Tumor Microenvironment, Surveillance, and Treatment Options

Hepatocellular carcinoma (HCC) represents a significant burden on global healthcare systems due to its considerable incidence and mortality rates. Recent trends indicate an increase in the worldwide incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) and a shift in the etiology of HCC, with MASLD replacing the hepatitis B virus as the primary contributor to new cases of HCC. MASLD-related HCC exhibits distinct characteristics compared to viral HCC, including unique immune cell profiles resulting in an overall more immunosuppressive or exhausted tumor microenvironment. Furthermore, MASLD-related HCC is frequently identified in older age groups and among individuals with cardiometabolic comorbidities. Additionally, a greater percentage of MASLD-related HCC cases occur in noncirrhotic patients compared to those with viral etiologies, hindering early detection. However, the current clinical practice guidelines lack specific recommendations for the screening of HCC in MASLD patients. The evolving landscape of HCC management offers a spectrum of therapeutic options, ranging from surgical interventions and locoregional therapies to systemic treatments, for patients across various stages of the disease. Despite ongoing debates, the current evidence does not support differences in optimal treatment modalities based on etiology. In this study, we aimed to provide a comprehensive overview of the current literature on the trends, characteristics, clinical implications, and treatment modalities for MASLD-related HCC.

Serum interleukin-10 and alpha-fetoprotein: A combined diagnostic approach for hepatocellular carcinoma in Egyptians with HCV

PURPOSE

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. Although alpha-fetoprotein (AFP) has been used for 60+ years as an HCC diagnostic serum marker, its accuracy is debated. Notably, the role of interleukin 10 (IL-10) in cancer development and metastasis is elevated in various tumor types, including HCC and chronic HCV infection. Our study aimed to investigate the diagnostic performance of IL-10 and AFP as biomarkers for HCV-induced HCC in an Egyptian population.

METHODS

Eighty participants were recruited and categorized into three groups: HCV-related HCC (n=40), HCV-related cirrhosis (n=40), and control (n=20).The collected blood samples were analyzed to evaluate liver function, AFP levels, and IL-10 levels.

RESULTS

Our analysis showed that AFP demonstrated low sensitivity (40% false-negative) and low specificity (33% false-positive).IL-10 levels were significantly higher (P < 0.001) in patients with HCC than in the cirrhosis and control groups. The serum AFP and IL-10 combination revealed significantly increased sensitivity (97.5%), diagnostic accuracy (71.1%), AUC (0.798), PPV (73.3%), and NPV ( 69.5%) when compared with either of them alone.

CONCLUSION

the reliability of AFP as a major HCC marker was poor. However, IL-10 levels are a novel biomarker for the degree of HCC inflammation, considering IL-10's potential role in HCV-HCC development. We suggest combining AFP with IL-10 to improve the diagnostic and prognostic value of HCC considerably. Future research on these biomarkers should prioritize their clinical validity, prognostic usefulness, and compatibility with other therapeutic approaches as immunotherapy.

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.

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.

Decoding the glycoproteome: a new frontier for biomarker discovery in cancer

Cancer early detection and treatment response prediction continue to pose significant challenges. Cancer liquid biopsies focusing on detecting circulating tumor cells (CTCs) and DNA (ctDNA) have shown enormous potential due to their non-invasive nature and the implications in precision cancer management. Recently, liquid biopsy has been further expanded to profile glycoproteins, which are the products of post-translational modifications of proteins and play key roles in both normal and pathological processes, including cancers. The advancements in chemical and mass spectrometry-based technologies and artificial intelligence-based platforms have enabled extensive studies of cancer and organ-specific changes in glycans and glycoproteins through glycomics and glycoproteomics. Glycoproteomic analysis has emerged as a promising tool for biomarker discovery and development in early detection of cancers and prediction of treatment efficacy including response to immunotherapies. These biomarkers could play a crucial role in aiding in early intervention and personalized therapy decisions. In this review, we summarize the significant advance in cancer glycoproteomic biomarker studies and the promise and challenges in integration into clinical practice to improve cancer patient care.

Efficacy of radiofrequency ablation combined with sorafenib for treating liver cancer complicated with portal hypertension and prognostic factors

BACKGROUND

Patients with liver cancer complicated by portal hypertension present complex challenges in treatment.

AIM

To evaluate the efficacy of radiofrequency ablation in combination with sorafenib for improving liver function and its impact on the prognosis of patients with this condition.

METHODS

Data from 100 patients with liver cancer complicated with portal hypertension from May 2014 to March 2019 were analyzed and divided into a study group (n = 50) and a control group (n = 50) according to the treatment regimen. The research group received radiofrequency ablation (RFA) in combination with sorafenib, and the control group only received RFA. The short-term efficacy of both the research and control groups was observed. Liver function and portal hypertension were compared before and after treatment. Alpha-fetoprotein (AFP), glypican-3 (GPC-3), and AFP-L3 levels were compared between the two groups prior to and after treatment. The occurrence of adverse reactions in both groups was observed. The 3-year survival rate was compared between the two groups. Basic data were compared between the survival and non-surviving groups. To identify the independent risk factors for poor prognosis in patients with liver cancer complicated by portal hypertension, multivariate logistic regression analysis was employed.

RESULTS

When comparing the two groups, the research group's total effective rate (82.00%) was significantly greater than that of the control group (56.00%; P < 0.05). Following treatment, alanine aminotransferase and aspartate aminotransferase levels increased, and portal vein pressure decreased in both groups. The degree of improvement for every index was substantially greater in the research group than in the control group (P < 0.05). Following treatment, the AFP, GPC-3, and AFP-L3 levels in both groups decreased, with the research group having significantly lower levels than the control group (P < 0.05). The incidence of diarrhea, rash, nausea and vomiting, and fatigue in the research group was significantly greater than that in the control group (P < 0.05). The 1-, 2-, and 3-year survival rates of the research group (94.00%, 84.00%, and 72.00%, respectively) were significantly greater than those of the control group (80.00%, 64.00%, and 40.00%, respectively; P < 0.05). Significant differences were observed between the survival group and the non-surviving group in terms of Child-Pugh grade, history of hepatitis, number of tumors, tumor size, use of sorafenib, stage of liver cancer, histological differentiation, history of splenectomy and other basic data (P < 0.05). Logistic regression analysis demonstrated that high Child-Pugh grade, tumor size (6-10 cm), history of hepatitis, no use of sorafenib, liver cancer stage IIIC, and previous splenectomy were independent risk factors for poor prognosis in patients with liver cancer complicated with portal hypertension (P < 0.05).

CONCLUSION

Patients suffering from liver cancer complicated by portal hypertension benefit from the combination of RFA and sorafenib therapy because it effectively restores liver function and increases survival rates. The prognosis of patients suffering from liver cancer complicated by portal hypertension is strongly associated with factors such as high Child-Pugh grade, tumor size (6-10 cm), history of hepatitis, lack of sorafenib use, liver cancer at stage IIIC, and prior splenectomy.

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.

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.

Value of GPR, APPRI and FIB-4 in the early diagnosis of hepatocellular carcinoma: a prospective cohort study

OBJECTIVE

There is an urgent need for novel biomarkers that are inexpensive, effective and easily accessible to complement the early diagnosis of hepatocellular carcinoma. This study aimed to analyze the relationship between serum gamma-glutamate-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index, fibrosis index based on four factors and the risk of hepatocellular carcinoma, and to determine the optimal cut-offs for predicting hepatocellular carcinoma.

METHODS

Based on a prospective cohort study, 44 215 participants who were cancer-free at baseline (2011-13) were included in the study. Cox proportional hazard models and receiver operating characteristics curves were used to analyze the diagnostic value and optimal cut-off value of gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors in predicting hepatocellular carcinoma patients.

RESULTS

Gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors can be used as early independent predictors of hepatocellular carcinoma risk. The risk of hepatocellular carcinoma in the fourth quantile of gamma-glutamyl-transpeptidase to platelet ratio and alkaline phosphatase-to-platelet ratio index was 4.04 times (hazard ratio = 4.04, 95% confidence interval: 2.09, 7.80) and 2.59 times (hazard ratio = 2.59, 95% confidence interval: 1.45, 4.61), respectively, compared with the first quantile. With fibrosis index based on four factors first quantile as a reference, fibrosis index based on four factors fourth quantile had the highest risk (hazard ratio = 18.58, 95% confidence interval: 7.55, 45.72). Receiver operating characteristic results showed that fibrosis index based on four factors had a stronger ability to predict the risk of hepatocellular carcinoma (area under curve = 0.81, 95% confidence interval: 0.80, 0.81), and similar results were shown for gender stratification. In the total population, the optimal cut-off values of gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors were 0.208, 0.629 and 1.942, respectively.

CONCLUSIONS

Gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors were independent predictors of hepatocellular carcinoma risk. Amongst them, fibrosis index based on four factors shows a stronger predictive ability for hepatocellular carcinoma risk, and gamma-glutamyl-transpeptidase to platelet ratio and alkaline phosphatase-to-platelet ratio index can be used as complementary indicators.

Prevention in Hepatology

The prevention of liver disease has improved significantly in the last few decades, to the point that it can now be considered a true success story. The wide variety of interventions, including comprehensive vaccination strategies, novel medications, lifestyle changes, and even preventive surgeries, have reduced the morbidity and mortality of chronic liver diseases. However, the prevalence of chronic liver diseases is increasing worldwide. Currently, fatty liver disease alone is estimated to be present in as much as 30% of the adult population. Furthermore, there is a trend towards increasing incidences of chronic hepatitis B, and a global lack of success in efforts to eliminate chronic hepatitis C. Thus, improving and efficiently rolling out existing and successful prevention strategies for chronic liver diseases will play an essential role in healthcare throughout the upcoming decades. In this review, we summarize the current options and concepts for preventing chronic liver diseases, highlight their limitations, and provide an outlook on probable future developments to improve awareness, integrated care, and the analysis of big data.

Meta-analysis of the GALAD model for diagnosing primary hepatocellular carcinoma

BACKGROUND

Ever since the GALAD (gender-age-Lens culinaris agglutinin-reactive alpha-fetoprotein-alpha-fetoprotein-des-gamma-carboxy prothrombin) logistic regression model was established to diagnose hepatocellular carcinoma (HCC), there has been no high-level evidence that evaluates and summarizes it.

OBJECTIVE

This meta-analysis was performed to assess the diagnostic ability of the GALAD model.

METHODS

The following databases were systematically searched for original diagnostic studies on HCC: PubMed, Embase, Medline, the Web of Science, Cochrane Library, China National Knowledge Infrastructure Wanfang (China), Wiper and the Chinese BioMedical Literature Database. After screening the search results according to our criteria, the Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to evaluate the methodologic qualities, and statistical software were used to output the statistics.

RESULTS

Ultimately, 10 studies were included and analyzed. The results revealed the pooled sensitivity and specificity of the GALAD model to be 0.86 (95% confidence interval [CI]: 0.82, 0.90) and 0.90 (95% CI: 0.87, 0.92), respectively, for all-stage HCC. The area under the curve (AUC) was 0.94. For early-stage HCC, the pooled sensitivity and specificity of the GALAD model were 0.83 (95% CI: 0.78, 0.87) and 0.81 (95% CI: 0.78, 0.83), respectively. The AUC was 0.90.

CONCLUSION

This meta-analysis confirmed that the GALAD model has excellent diagnostic performance for early-stage and all-stage HCC and can maintain high sensitivity and specificity in early-stage HCC. Therefore, the GALAD model is qualified for screening early-stage canceration from chronic liver disease.

Prognostic value of Interleukin-36s in cancers: A systematic review and meta-analysis

BACKGROUND

Interleukin-36s (IL-36s) are a category of inflammatory cytokines and an increasing number of studies over the past decade have found that different kinds of IL-36s play different roles in cancers. This systematic review and meta-analysis aimed to evaluate the prognostic value of IL-36s in different cancer types.

METHOD

Two reviewers independently searched in PubMed, Cochrane Library and EMBASE up to December 13, 2022. We extracted the hazard ratio (HR) and the confidence intervals (CIs) of the related prognostic outcomes and analyzed the pooled HR.

RESULTS

We included 12 studies including 1925 patients. In all, six studies including IL-36α, five including IL-36γ and one including IL-36β. A high expression of IL-36α was associated with better overall survival (OS) (HR = 0.48, 95 %CI: 0.37-0.62, P < 0.001) of cancer patients. The expression of IL-36γ was not related with cancers. Further, subgroup analysis showed that the expression of IL-36γ had no correlation with the OS of colorectal cancer (CRC) and non‑small cell lung cancer (NSCLC) patients. Interestingly, a high expression of IL-36γ played contrasting prognostic roles in hepatocellular carcinoma (HCC) (HR = 0.43, 95 %CI: 0.27-0.69, P < 0.001) patients and gastric cancer (GC) (HR = 1.58, 95 %CI: 1.33-1.87, P < 0.001) patients. The only IL-36β related study showed the expression of IL-36β was not correlated with the prognosis of CRC patients (P > 0.05).

CONCLUSION

IL-36α, IL-36β and IL-36γ possibly play different roles in different cancers. High expression of IL-36α may be associated with good prognostic value in cancer patients, especially in CRC patients. The association between cancers prognosis and expression of IL-36β or IL-36γ needs further evaluation. These conclusions need more clinical prognostic data for confirmation.

Diagnostic and Prognostic Value of Protein Post-translational Modifications in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a common malignant tumor with high incidence and cancer mortality worldwide. Post-translational modifications (PTMs) of proteins have a great impact on protein function. Almost all proteins can undergo PTMs, including phosphorylation, acetylation, methylation, glycosylation, ubiquitination, and so on. Many studies have shown that PTMs are related to the occurrence and development of cancers. The findings provide novel therapeutic targets for cancers, such as glypican-3 and mucin-1. Other clinical implications are also found in the studies of PTMs. Diagnostic or prognostic value, and response to therapy have been identified. In HCC, it has been shown that glycosylated alpha-fetoprotein (AFP) has a higher detection rate for early liver cancer than conventional AFP. In this review, we mainly focused on the diagnostic and prognostic value of PTM, in order to provide new insights into the clinical implication of PTM in HCC.

Advances in the Early Detection of Hepatobiliary Cancers

Hepatocellular cancer (HCC) and biliary tract cancers (BTCs) have poor survival rates and a low likelihood of a cure, especially in advanced-stage disease. Early diagnosis is crucial and can significantly improve survival rates through curative treatment approaches. Current guidelines recommend abdominal ultrasonography (USG) and alpha-fetoprotein (AFP) monitoring for HCC screening in high-risk groups, and abdominal USG, magnetic resonance imaging (MRI), and magnetic resonance cholangiopancreatography (MRCP) monitoring for biliary tract cancer. However, despite this screening strategy, many high-risk individuals still develop advanced-stage HCC and BTC. Blood-based biomarkers are being developed for use in HCC or BTC high-risk groups. Studies on AFP, AFP-L3, des-gamma-carboxy prothrombin, glypican-3 (GPC3), osteopontin (OPN), midkine (MK), neopterin, squamous cell carcinoma antigen (SCCA), Mac-2-binding protein (M2BP), cyclic guanosine monophosphate (cGMP), and interleukin-6 biomarkers for HCC screening have shown promising results when evaluated individually or in combination. In the case of BTCs, the potential applications of circulating tumor DNA, circulating microRNA, and circulating tumor cells in diagnosis are also promising. These biomarkers have shown potential in detecting BTCs in early stages, which can significantly improve patient outcomes. Additionally, these biomarkers hold promise for monitoring disease progression and evaluating response to therapy in BTC patients. However, further research is necessary to fully understand the clinical utility of these biomarkers in the diagnosis and management of HCC and BTCs.

A wide scan of plasma proteins demonstrates thioredoxin reductase 1 as a potential new diagnostic biomarker for hepatocellular carcinoma

BACKGROUND

Patients with liver cirrhosis are recommended ultrasonography screening for early detection of hepatocellular carcinoma to increase the chances of curative treatment. However, ultrasonography alone lacks in sensitivity. Adding plasma biomarkers may increase the detection rate. We performed a broad exploratory analysis to find new plasma proteins with potential applicability for HCC screening in patients with cirrhosis.

METHODS

In a protein discovery cohort of 172 patients with cirrhosis or HCC, we screened for 481 proteins with suspension bead array or proximity extension assay. From these, 24 proteins were selected for further analysis in a protein verification cohort (n = 160), using ELISA, Luminex or an electrochemiluminescence platform. A cut-off model and a stepwise logistic regression model were used to find combinations of proteins with the best discriminatory performance between HCC and cirrhosis.

RESULTS

Stepwise logistic regression revealed alpha-fetoprotein (AFP), decarboxy-prothrombin (DCP), thioredoxin reductase 1 (TXNRD1), and fibroblast growth factor 21 (FGF21) as the proteins with the best discriminatory performance between HCC and cirrhosis. Adding TXNRD1 to DCP and AFP increased the AUC from 0.844 to 0.878, and combining AFP, DCP and TXNRD1 with age and sex resulted in an AUC of 0.920. FGF21, however, did not further increase the performance when including age and sex.

CONCLUSION

In the present study, TXNRD1 improves the sensitivity and specificity of AFP and DCP as HCC screening tools in patients with cirrhosis. We suggest that TXNRD1 should be validated in prospective settings as a new complementary HCC biomarker together with AFP and DCP.

Risk stratification and early detection biomarkers for precision HCC screening

Hepatocellular carcinoma (HCC) mortality remains high primarily due to late diagnosis as a consequence of failed early detection. Professional societies recommend semi-annual HCC screening in at-risk patients with chronic liver disease to increase the likelihood of curative treatment receipt and improve survival. However, recent dynamic shift of HCC etiologies from viral to metabolic liver diseases has significantly increased the potential target population for the screening, whereas annual incidence rate has become substantially lower. Thus, with the contemporary HCC etiologies, the traditional screening approach might not be practical and cost-effective. HCC screening consists of (i) definition of rational at-risk population, and subsequent (ii) repeated application of early detection tests to the population at regular intervals. The suboptimal performance of the currently available HCC screening tests highlights an urgent need for new modalities and strategies to improve early HCC detection. In this review, we overview recent developments of clinical, molecular, and imaging-based tools to address the current challenge, and discuss conceptual framework and approaches of their clinical translation and implementation. These encouraging progresses are expected to transform the current "one-size-fits-all" HCC screening into individualized precision approaches to early HCC detection and ultimately improve the poor HCC prognosis in the foreseeable future.

Capitalizing glycomic changes for improved biomarker-based cancer diagnostics

Cancer serum biomarkers are valuable or even indispensable for cancer diagnostics and/or monitoring and, currently, many cancer serum markers are routinely used in the clinic. Most of those markers are glycoproteins, carrying cancer-specific glycan structures that can provide extra-information for cancer monitoring. Nonetheless, in the majority of cases, this differential feature is not exploited and the corresponding analytical assays detect only the protein amount, disregarding the analysis of the aberrant glycoform. Two exceptions to this trend are the biomarkers α-fetoprotein (AFP) and cancer antigen 19-9 (CA19-9), which are clinically monitored for their cancer-related glycan changes, and only the AFP assay includes quantification of both the protein amount and the altered glycoform. This narrative review demonstrates, through several examples, the advantages of the combined quantification of protein cancer biomarkers and the respective glycoform analysis, which enable to yield the maximum information and overcome the weaknesses of each individual analysis. This strategy allows to achieve higher sensitivity and specificity in the detection of cancer, enhancing the diagnostic power of biomarker-based cancer detection tests.

Synergistic Nanomedicine: Photodynamic, Photothermal and Photoimmune Therapy in Hepatocellular Carcinoma: Fulfilling the Myth of Prometheus?

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, with high morbidity and mortality, which seriously threatens the health and life expectancy of patients. The traditional methods of treatment by surgical ablation, radiotherapy, chemotherapy, and more recently immunotherapy have not given the expected results in HCC. New integrative combined therapies, such as photothermal, photodynamic, photoimmune therapy (PTT, PDT, PIT), and smart multifunctional platforms loaded with nanodrugs were studied in this review as viable solutions in the synergistic nanomedicine of the future. The main aim was to reveal the latest findings and open additional avenues for accelerating the adoption of innovative approaches for the multi-target management of HCC. High-tech experimental medical applications in the molecular and cellular research of photosensitizers, novel light and laser energy delivery systems and the features of photomedicine integration via PDT, PTT and PIT in immuno-oncology, from bench to bedside, were introspected. Near-infrared PIT as a treatment of HCC has been developed over the past decade based on novel targeted molecules to selectively suppress cancer cells, overcome immune blocking barriers, initiate a cascade of helpful immune responses, and generate distant autoimmune responses that inhibit metastasis and recurrences, through high-tech and intelligent real-time monitoring. The process of putting into effect new targeted molecules and the intelligent, multifunctional solutions for therapy will bring patients new hope for a longer life or even a cure, and the fulfillment of the myth of Prometheus.

Recent advances in optical aptasensors for biomarkers in early diagnosis and prognosis monitoring of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) accounts for approximately 90% of all primary liver cancers and is one of the main malignant tumor types globally. It is essential to develop rapid, ultrasensitive, and accurate strategies for the diagnosis and surveillance of HCC. In recent years, aptasensors have attracted particular attention owing to their high sensitivity, excellent selectivity, and low production costs. Optical analysis, as a potential analytical tool, offers the advantages of a wide range of targets, rapid response, and simple instrumentation. In this review, recent progress in several types of optical aptasensors for biomarkers in early diagnosis and prognosis monitoring of HCC is summarized. Furthermore, we evaluate the strengths and limitations of these sensors and discuss the challenges and future perspectives for their use in HCC diagnosis and surveillance.

Vesicular Integral-Membrane Protein 36 Is Involved in the Selective Secretion of Fucosylated Proteins into Bile Duct-like Structures in HepG2 Cells

Fucosylated proteins are widely used as biomarkers of cancer and inflammation. Fucosylated alpha-fetoprotein (AFP-L3) is a specific biomarker for hepatocellular carcinoma. We previously showed that increases in serum AFP-L3 levels depend on increased expression of fucosylation-regulatory genes and abnormal transport of fucosylated proteins in cancer cells. In normal hepatocytes, fucosylated proteins are selectively secreted in the bile duct but not blood. In cases of cancer cells without cellular polarity, this selective secretion system is destroyed. Here, we aimed to identify cargo proteins involved in the selective secretion of fucosylated proteins, such as AFP-L3, into bile duct-like structures in HepG2 hepatoma cells, which have cellular polarity like, in part, normal hepatocytes. α1-6 Fucosyltransferase (FUT8) is a key enzyme to synthesize core fucose and produce AFP-L3. Firstly, we knocked out the FUT8 gene in HepG2 cells and investigated the effects on the secretion of AFP-L3. AFP-L3 accumulated in bile duct-like structures in HepG2 cells, and this phenomenon was diminished by FUT8 knockout, suggesting that HepG2 cells have cargo proteins for AFP-L3. To identify cargo proteins involved in the secretion of fucosylated proteins in HepG2 cells, immunoprecipitation and the proteomic Strep-tag system experiments followed by mass spectrometry analyses were performed. As a result of proteomic analysis, seven kinds of lectin-like molecules were identified, and we selected vesicular integral membrane protein gene VIP36 as a candidate of the cargo protein that interacts with the α1-6 fucosylation (core fucose) on N-glycan according to bibliographical consideration. Expectedly, the knockout of the VIP36 gene in HepG2 cells suppressed the secretion of AFP-L3 and other fucosylated proteins, such as fucosylated alpha-1 antitrypsin, into bile duct-like structures. We propose that VIP36 could be a cargo protein involved in the apical secretion of fucosylated proteins in HepG2 cells.

A Statistical Approach to the Diagnosis and Prediction of HCC Using CK19 and Glypican 3 Biomarkers

Various statistical models predict the probability of developing hepatocellular carcinoma (HCC) in patients with cirrhosis, with GALAD being one of the most extensively studied scores. Biomarkers like alpha-fetoprotein (AFP), AFP-L3, and des-g-carboxyprothrombin (DCP) are widely used alone or in conjunction with ultrasound to screen for HCC. Our study aimed to compare the effectiveness of Cytokeratin 19 (CK19) and Glypican-3 (GPC3) as standalone biomarkers and in a statistical model to predict the likelihood of HCC. We conducted a monocentric prospective study involving 154 participants with previously diagnosed liver cirrhosis, divided into two groups: 95 patients with confirmed HCC based on clinical, biological, and imaging features and 59 patients without HCC. We measured the levels of AFP, AFP-L3, DCP, GPC3, and CK19 in both groups. We used univariate and multivariate statistical analyses to evaluate the ability of GPC3 and CK19 to predict the presence of HCC and incorporated them into a statistical model—the GALKA score—which was then compared to the GALAD score. AFP performed better than AFP-F3, DCP, GPC3, and CK19 in predicting the presence of HCC in our cohort. Additionally, GPC3 outperformed CK19. We used multivariate analysis to compute the GALKA score to predict the presence of HCC. Using these predictors, the following score was formulated: 0.005*AFP-L3 + 0.00069*AFP + 0.000066*GPC3 + 0.01*CK19 + 0.235*Serum Albumin—0.277. The optimal cutoff was >0.32 (AUROC = 0.98, sensitivity: 96.8%, specificity: 93%, positive predictive value—95.8%, negative predictive value—94.8%). The GALKA score had a similar predictive value to the GALAD score for the presence of HCC. In conclusion, AFP, AFP-L3, and DCP were the best biomarkers for predicting the likelihood of HCC. Our score performed well overall and was comparable to the GALAD score.

Updating the Clinical Application of Blood Biomarkers and Their Algorithms in the Diagnosis and Surveillance of Hepatocellular Carcinoma: A Critical Review

The most common primary liver cancer is hepatocellular carcinoma (HCC), and its mortality rate is increasing globally. The overall 5-year survival of patients with liver cancer is currently 10-20%. Moreover, because early diagnosis can significantly improve prognosis, which is highly correlated with tumor stage, early detection of HCC is critical. International guidelines advise using α-FP biomarker with/without ultrasonography for HCC surveillance in patients with advanced liver disease. However, traditional biomarkers are sub-optimal for risk stratification of HCC development in high-risk populations, early diagnosis, prognostication, and treatment response prediction. Since about 20% of HCCs do not produce α-FP due to its biological diversity, combining α-FP with novel biomarkers can enhance HCC detection sensitivity. There is a chance to offer promising cancer management methods in high-risk populations by utilizing HCC screening strategies derived from new tumor biomarkers and prognostic scores created by combining biomarkers with distinct clinical parameters. Despite numerous efforts to identify molecules as potential biomarkers, there is no single ideal marker in HCC. When combined with other clinical parameters, the detection of some biomarkers has higher sensitivity and specificity in comparison with a single biomarker. Therefore, newer biomarkers and models, such as the Lens culinaris agglutinin-reactive fraction of Alpha-fetoprotein (α-FP), α-FP-L3, Des-γ-carboxy-prothrombin (DCP or PIVKA-II), and the GALAD score, are being used more frequently in the diagnosis and prognosis of HCC. Notably, the GALAD algorithm was effective in HCC prevention, particularly for cirrhotic patients, regardless of the cause of their liver disease. Although the role of these biomarkers in surveillance is still being researched, they may provide a more practical alternative to traditional imaging-based surveillance. Finally, looking for new diagnostic/surveillance tools may help improve patients' survival. This review discusses the current roles of the most used biomarkers and prognostic scores that may aid in the clinical management of HCC patients.

The Characteristics and Prognosis of Alpha-Fetoprotein and Des-Gamma-Carboxy Prothrombin Double-Negative Hepatocellular Carcinoma at Baseline in Higher BCLC Stages

Alpha-fetoprotein (AFP) and des-gamma-carboxyprothrombin (DCP) are widely used as tumor markers to diagnose hepatocellular carcinoma (HCC). Some advanced HCCs demonstrate neither AFP nor DCP. This study investigated the characteristics and prognosis of AFP (<20 ng/mL) and DCP (<40 mAU/ml) double-negative HCC (DNHC) in higher-stage HCC. Between April 2012 and March 2022, 419 consecutive patients were enrolled with newly diagnosed HCC and 372 patients were selected that were diagnosed by histopathology and/or imaging. AFP-negative, DCP-negative, and double-negative HCC were identified in 262 patients (70.4%), 143 patients (38.2%), and 120 patients (32.3%), respectively. In higher-BCLC stages (BCLC-B, C, and D), 17 patients (14.7%) were DNHC. Although there was no difference in BCLC staging, there were more cases under TNM Stage III in DNHC (71.0% vs. 41.4%, p = 0.026). The median maximum tumor diameter was smaller in DNHC [3.2 (1.8−5.0) vs. 5.5 (3.5−9.0) cm, p = 0.001] and their median survival time was significantly better, even in higher-stage HCC [47.0 (24.0−84.0) vs. 19.0 (14.0−30.0) months, p = 0.027). DNHC in higher-BCLC stage HCC is independent of BCLC staging, characterized by a tumor diameter < 5 cm, and is treatable with a good prognosis.

Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model

Liver cancer is a common malignancy of the digestive system. Hepatocellular carcinoma (HCC) accounts for the most majority of these tumors and it has brought a heavy medical burden to underdeveloped countries and regions. Many factors affect the prognosis of HCC patients, however, there is no specific statistical model to predict the survival time of clinical patients. This study derived a risk factor signature of HCC and reliable clinical prediction model by statistically analyzing The Surveillance, Epidemiology, and End Results (SEER) database patient information using an open source package in the python environment.

HCC biomarkers - state of the old and outlook to future promising biomarkers and their potential in everyday clinical practice

Hepatocellular carcinoma (HCC) is one of the most common and deadly tumors worldwide. Management of HCC depends on reliable biomarkers for screening, diagnosis, and monitoring of the disease, as well as predicting response towards therapy and safety. To date, imaging has been the established standard technique in the diagnosis and follow-up of HCC. However, imaging techniques have their limitations, especially in the early detection of HCC. Therefore, there is an urgent need for reliable, non/minimal invasive biomarkers. To date, alpha-fetoprotein (AFP) is the only serum biomarker used in clinical practice for the management of HCC. However, AFP is of relatively rather low quality in terms of specificity and sensitivity. Liquid biopsies as a source for biomarkers have become the focus of clinical research. Our review highlights alternative biomarkers derived from liquid biopsies, including circulating tumor cells, proteins, circulating nucleic acids, and exosomes, and their potential for clinical application. Using defined combinations of different biomarkers will open new perspectives for diagnosing, treating, and monitoring HCC.

Diagnostic implication of a circulating serum-based three-microRNA signature in hepatocellular carcinoma

Owing to the diagnostic dilemma, the prognosis of hepatocellular carcinoma (HCC) remains impoverished, contributing to the globally high mortality rate. Currently, HCC diagnosis depends on the combination of imaging modalities and the measurement of serum alpha-fetoprotein (AFP) levels. Nevertheless, these conventional modalities exhibit poor performance in detecting HCC at early stages. Thus, there is a pressing need to identify novel circulating biomarkers to promote diagnostic accuracy and surveillance. Circulating miRNAs are emerging as promising diagnostic tools in screening various cancers, including HCC. However, because of heterogenous and, at times, contradictory reports, the universality of miRNAs in clinical settings remains elusive. Consequently, we proposed to explore the diagnostic potential of ten miRNAs selected on a candidate-based approach in HCC diagnosis. The expression of ten candidate miRNAs (Let-7a, miR-15a, miR-26a, miR-124, miR-126, miR-155, miR-219, miR-221, miR-222, and miR-340) was investigated in serum and tissue of 66 subjects, including 33 HCC patients and 33 healthy controls (HC), by rt-PCR. Receiver operating characteristic curve (ROC) analysis was used to determine the diagnostic accuracy of the prospective serum miRNA panel. To anticipate the potential biological roles of a three-miRNA signature, the target genes were evaluated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway. The serum and tissue expression of miRNAs (Let-7a, miR-26a, miR-124, miR-155, miR-221, miR-222, and miR-340) were differentially expressed in HCC patients (p < 0.05). The ROC analysis revealed promising diagnostic performance of Let-7a (AUC = 0.801), miR-221 (AUC = 0.786), and miR-2 (AUC = 0.758) in discriminating HCC from HC. Furthermore, in a logistic regression equation, we identified a three-miRNA panel (Let-7a, miR-221, and miR-222; AUC = 0.932) with improved diagnostic efficiency in differentiating HCC from HC. Remarkably, the combination of AFP and a three-miRNA panel offered a higher accuracy of HCC diagnosis (AUC = 0.961) than AFP alone. The functional enrichment analysis demonstrated that target genes may contribute to pathways associated with HCC and cell-cycle regulation, indicating possible crosstalk of miRNAs with HCC development. To conclude, the combined classifier of a three-miRNA panel and AFP could be indispensable circulating biomarkers for HCC diagnosis. Furthermore, targeting predicted genes may provide new therapeutic clues for the treatment of aggressive HCC.

Biomarkers of disease recurrence in stage I testicular germ cell tumours

Stage I testicular cancer is a disease restricted to the testicle. After orchiectomy, patients are considered to be without disease; however, the tumour is prone to relapse in ~4-50% of patients. Current predictive markers of relapse, which are tumour size and invasion to rete testis (in seminoma) or lymphovascular invasion (in non-seminoma), have limited clinical utility and are unable to correctly predict relapse in a substantial proportion of patients. Adjuvant therapeutic strategies based on available biomarkers can lead to overtreatment of 50-85% of patients. Discovery and implementation of novel biomarkers into treatment decision making will help to reduce the burden of adjuvant treatments and improve patient selection for adjuvant therapy.

The Value of MRI Combined with AFP, AFP-L3, GP73, and DCP in the Diagnosis of Early Primary Liver Cancer

Objective

To investigate the diagnostic value of magnetic resonance imaging (MRI) combined with serum alpha-fetoprotein (AFP), alpha-fetoprotein (AFP-L3), Golgi protein 73 (GP73), and des-γ-carboxyprothrombin (DCP) on early-stage primary liver cancer (PHC).

Methods

A total of 122 patients who were treated in our hospital from January 2019 to May 2022 were included in this study, including 62 patients with early PHC (referred to as the observation group) and 60 patients with benign liver disease (referred to as the control group). MRI scans were performed on all participants, and MRI image features were compared. Subsequently, the differences in serum AFP, AFP-L3, GP73, and DCP concentrations of the two groups of patients were detected and compared. Receiver operating characteristic (ROC) curve was used to analyze the efficacy of MRI and each of the above tumor markers in diagnosing early PHC.

Results

The proportion of low or slightly low signal on T1WI in the observation group was significantly greater than that in the control group, while the proportions of equisignal and high signal were lower than those in the control group. The proportion of high signal on T2WI and high signal on DWI in the observation group was higher than that in the control group, while the proportion of low or slightly low signal and equisignal was lower than that in the control group. Compared with the control group, the serum concentrations of AFP, AFP-L3, GP73, and DCP in the observation group were significantly increased (all P < 0.05). For the diagnosis of early-stage PHC patients, MRI combined with these four markers showed favorable diagnostic value compared with parameter alone (area under the ROC curve, sensitivity, and specificity were 0.943, 0.919, and 0.833, respectively).

Conclusion

MRI combined with serum AFP, AFP-L3, GP73, and DCP detection has good value in the diagnosis of early PHC patients, and can serve as an effective strategy to improve the early diagnosis rate of PHC.

Cancer glycomics offers potential biomarkers and therapeutic targets in the framework of 3P medicine

Glycosylation is one of the most important post-translational modifications (PTMs) in a protein, and is the most abundant and diverse biopolymer in nature. Glycans are involved in multiple biological processes of cancer initiation and progression, including cell-cell interactions, cell-extracellular matrix interactions, tumor invasion and metastasis, tumor angiogenesis, and immune regulation. As an important biomarker, tumor-associated glycosylation changes have been extensively studied. This article reviews recent advances in glycosylation-based biomarker research, which is useful for cancer diagnosis and prognostic assessment. Truncated O-glycans, sialylation, fucosylation, and complex branched structures have been found to be the most common structural patterns in malignant tumors. In recent years, immunochemical methods, lectin recognition-based methods, mass spectrometry (MS)-related methods, and fluorescence imaging-based in situ methods have greatly promoted the discovery and application potentials of glycomic and glycoprotein biomarkers in various cancers. In particular, MS-based proteomics has significantly facilitated the comprehensive research of extracellular glycoproteins, increasing our understanding of their critical roles in regulating cellular activities. Predictive, preventive and personalized medicine (PPPM; 3P medicine) is an effective approach of early prediction, prevention and personalized treatment for different patients, and it is known as the new direction of medical development in the 21st century and represents the ultimate goal and highest stage of medical development. Glycosylation has been revealed to have new diagnostic, prognostic, and even therapeutic potentials. The purpose of glycosylation analysis and utilization of biology is to make a fundamental change in health care and medical practice, so as to lead medical research and practice into a new era of 3P medicine.

Predictive Value of MRI with Serum Lectin-Reactive Alpha-Fetoprotein for Liver Cancer Recurrence after Percutaneous Radiofrequency Ablation

Objective

To explore the predictive value of magnetic resonance imaging (MRI) with serum lectin-reactive alpha-fetoprotein (AFP-L3) for liver cancer recurrence after percutaneous radiofrequency ablation (RFA).

Methods

This study included 94 liver cancer patients admitted for RFA treatment and 82 healthy subjects. MRI was performed to record the apparent diffusion coefficient (ADC). The serum concentrations of AFP-L3 were quantified in all participants. The correlation of the AFP-L3 serum level and ADC value with clinical efficacy following RFA was analyzed. Moreover, the prognostic factors affecting liver cancer recurrence were analyzed, as well as the predictive effect of the ADC value and AFP-L3 on liver cancer recurrence.

Results

The serum AFP-L3 level was higher in liver cancer patients than the healthy controls with a lower ADC value. Besides, the patients with tumor residuals had lower ADC values and higher serum AFP-L3 levels than those with complete ablated tumor. The combined detection of the ADC value and serum AFP-L3 level had a sensitivity of 87.50% and a specificity of 87.18% for diagnosing complete ablation after RFA treatment. The number of tumor nodules, tumor diameter, AFP, AFP-L3, and the presence of liver cirrhosis are all independent risk factors for liver cancer recurrence within one year. Meanwhile, the combined detection of the ADC value and serum AFP-L3 level had a good predictive effect on liver cancer recurrence with the sensitivity of 92.86% and a specificity of 69.62%.

Conclusion

The ADC values combined with serum AFP-L3 detection had good predictive effects on complete ablation and recurrence of liver cancer after RFA treatment.