Hepatocellualar carcinoma serum markers

Immunotherapy and liver transplantation for hepatocellular carcinoma: Current and future challenges

Despite existing curative options like surgical removal, tissue destruction techniques, and liver transplantation for early-stage hepatocellular carcinoma (HCC), the rising incidence and mortality rates of this global health burden necessitate continuous exploration of novel therapeutic strategies. This review critically assesses the dynamic treatment panorama for HCC, focusing specifically on the burgeoning role of immunotherapy in two key contexts: early-stage HCC and downstaging advanced HCC to facilitate liver transplant candidacy. It delves into the unique immunobiology of the liver and HCC, highlighting tumor-mediated immune evasion mechanisms. Analyzing the diverse immunotherapeutic approaches including checkpoint inhibitors, cytokine modulators, vaccines, oncolytic viruses, antigen-targeting antibodies, and adoptive cell therapy, this review acknowledges the limitations of current diagnostic markers alpha-fetoprotein and glypican-3 and emphasizes the need for novel biomarkers for patient selection and treatment monitoring. Exploring the rationale for neoadjuvant and adjuvant immunotherapy in early-stage HCC, current research is actively exploring the safety and effectiveness of diverse immunotherapeutic approaches through ongoing clinical trials. The review further explores the potential benefits and challenges of combining immunotherapy and liver transplant, highlighting the need for careful patient selection, meticulous monitoring, and novel strategies to mitigate post-transplant complications. Finally, this review delves into the latest findings from the clinical research landscape and future directions in HCC management, paving the way for optimizing treatment strategies and improving long-term survival rates for patients with this challenging malignancy.

Leveraging self-signal amplifying poly(acrylic acid)/polyaniline electrodes for label-free electrochemical immunoassays in protein biomarker detection

Accurate quantification of specific biomarkers is essential for clinical diagnosis and evaluating therapeutic efficacy. A self-signal-amplifying poly(acrylic acid) (PAA)/polyaniline (PANI) film-modified disposable and cost-effective screen-printed carbon electrode (SPCE) has been developed for constructing new label-free immunosensors targeting two model biomarkers: human immunoglobulin G (IgG) and alpha-fetoprotein (AFP). The electrochemically deposited PAA/PANI film on the SPCE serves a dual function: both a bio-immobilization support and a signal amplifier, enhancing biomarker detection sensitivity and efficiency. The self-signal amplification properties of PANI streamline the detection process. At the same time, the high-density surface carboxyl groups from embedded PAA enable covalent conjugation with capture antibodies (anti-IgG and anti-AFP). Subsequently, antibody-immobilized PAA/PANI film-modified SPCEs, as immunosensors, successfully detect IgG and AFP without the need for external redox probes. The reductions in the electrochemical PANI signals of the immunosensors are linearly proportional to the logarithm of IgG and AFP concentrations. The proposed immunosensors exhibit sufficiently wide ranges of calibration curves from 0.10 to 50 ng mL-1, with limits of detection of 0.080 ng mL-1 for IgG and 0.090 ng mL-1 for AFP. The sensors exhibit satisfactory sensitivity and selectivity, indicating their potential for accurate and reliable detection.

Bromine-Substituted Tricyanofuran-Based Fluorogenic Probes for the Sensitive Detection of Glycosidases under Acidic pH

Glycosidases participate in modulating a number of biological processes, and their overexpression is a hallmark of several human diseases. Considering the localization of glycosidases predominantly in the lysosomes, it is imperative to develop molecular probes that are resistant to interference from acidic pH. Herein, tricyanofuran-based long-wavelength fluorogenic probes are synthesized, and it is demonstrated that the introduction of bromine to the ortho-position of the phenol alcohol of the probe substantially enhances its fluorescence over an acidic pH range of 3.0-10.0. These probes, when modified with glycosyl substrates, have proved applicable for the sensitive fluorogenic detection of glycosidases under acidic pH, and fluorescence-based imaging of endogenous β-galactosidase and β-glucosidase activities in live cells. The imaging results are validated by quantitative real-time polymerase chain reaction and immunoblotting.

Comparative analysis of alpha-fetoprotein, carbohydrate antigen 19-9, carcinoembryonic antigen, and prostate-specific antigen among conventional cigarette smokers, heated tobacco product users and quitters

INTRODUCTION

The association of Heated Tobacco Products (HTPs) use on cancer-related biomarkers remains unclear. This study aimed to compare the levels of tumor markers, specifically alpha-fetoprotein (AFP), carbohydrate antigen 19-9 (CA 19-9), carcinoembryonic antigen (CEA), and prostate-specific antigen (PSA), between combustible cigarette (CC) smokers, any HTP users, and quitters.

METHODS

This cross-sectional study compared tumor marker levels (AFP, CA 19-9, CEA, PSA) among 750 adult males: 250 CC smokers, 250 any HTP users, and 250 quitters. Data were collected from health screenings (2021-2022). Participants were aged >18 years with at least one year of smoking history.

RESULTS

CEA was significantly higher in CC smokers (median: 2.4) than any HTP users (median: 2.0) and quitters (median: 1.6), with any HTP users exceeding quitters. PSA was higher in any HTP users (median: 0.86) than quitters (median: 0.74). No significant differences were observed in AFP and CA 19-9.

CONCLUSIONS

HTP users exhibit lower CEA levels compared to conventional cigarette smokers, yet their levels remain higher than those of quitters. Additionally, quitters were found to have lower PSA levels than HTP users. Further research is needed to determine the reasons for these differences.

The combination of serum lncRNA PTTG3P and mRNA PTTG1 serves as a diagnostic and prognostic marker for hepatocellular carcinoma

Long noncoding RNA (lncRNA) PTTG3P has been demonstrated to participate in the development of hepatocellular carcinoma (HCC) by targeting the mRNA PTTG1. The present study aimed to investigate the diagnostic efficacy of serum lncRNA PTTG3P, mRNA PTTG1 and their combination for the diagnosis and prognosis of HCC. A total of 373 participants were enrolled in the present study, including 73 patients with HCC, 100 patients with chronic hepatitis B (CHB), 100 patients with liver cirrhosis (LC) and 100 healthy controls (HCs). The expression levels of serum RNAs were quantified by reverse transcription‑quantitative PCR. The association between serum lncRNA PTTG3P and clinical characteristics was further analyzed. Receiver operating characteristic (ROC) curve and area under curve (AUC) analyses were performed to estimate the diagnostic ability of serum lncRNA PTTG3P, PTTG1 and their combinations with other biomarkers for HCC. The results revealed that the expression levels of lncRNA PTTG3P and mRNA PTTG1 were markedly increased in the serum of patients with HCC and CHB compared with in the serum of HCs. Additionally, the postoperative levels of lncRNA PTTG3P and mRNA PTTG1 were significantly lower than the preoperative concentrations in 36 paired patients with HCC. Spearman's correlation coefficient analysis showed that serum lncRNA PTTG3P was correlated with aspartate transaminase (AST). ROC analysis showed that both lncRNA PTTG3P and mRNA PTTG1 had a significant predictive value for HCC. The AUC values of lncRNA PTTG3P and mRNA PTTG1 alone were 0.636 and 0.634, respectively. Furthermore, combining lncRNA PTTG3P, mRNA PTTG1, α‑fetoprotein (AFP), alanine aminotransferase (ALT), AST, γ‑glutamyl transpeptidase (GGT) and alkaline phosphatase (ALP) significantly increased the AUC value. The best performance was the combination of PTTG3P, PTTG1, AFP, ALT, AST, GGT and ALP with an AUC of 0.959, a sensitivity of 90.4% and a specificity of 98.0%. In conclusion, the combination of serum lncRNA PTTG3P, mRNA PTTG1 and AFP appeared to be a noninvasive biomarker with comparatively high specificity and sensitivity for the diagnosis of HCC.

Nanotechnology for the Diagnosis and Treatment of Liver Cancer

Liver cancer has become a major global health challenge due to its high incidence, high rate of late diagnosis and limited treatment options. Although there are many clinical treatments available for liver cancer, the cure rate is still very low, and now researchers have begun to explore new aspects of liver cancer treatment, and nanotechnology has shown great potential for improving diagnostic accuracy and therapeutic efficacy and is therefore a promising treatment option. In diagnosis, nanomaterials such as gold nanoparticles, magnetic nanoparticles, and silver nanoparticles can realize highly sensitive and specific detection of liver cancer biomarkers, supporting diagnosis and real-time monitoring of the disease process. In terms of treatment, nanocarriers can realize precise targeted delivery of drugs, improve the bioavailability of liver cancer therapeutic drugs and reduce systemic toxic side effects. In addition, advanced technologies such as nanoparticle-based photothermal therapy and photodynamic therapy provide innovative solutions to overcome drug resistance and local tumor ablation. Therefore, in this paper, we will introduce nanotechnology for hepatocellular carcinoma in terms of tumor marker detection, targeted drug delivery, and synergistic PDT/CDT therapy.

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

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

Protein kinase C delta enhances the diagnostic performance of hepatocellular carcinoma

BACKGROUND

The conventional markers for hepatocellular carcinoma (HCC), α-fetoprotein (AFP) and des-γ-carboxy prothrombin (DCP), have several limitations; both have low sensitivity in patients with early-stage HCC; low sensitivity for AFP with HCC after eliminating hepatitis C virus (HCV); low specificity for DCP in patients with non-viral HCC, which is increasing worldwide; low specificity for AFP in patients with liver injury; and low specificity for DCP in patients treated with warfarin. To overcome these issues, the identification of novel biomarkers is an unmet need.

OBJECTIVE

This study aimed to assess the usefulness of serum protein kinase C delta (PKCδ) for detecting these HCCs.

METHODS

PKCδ levels were measured using a sandwich enzyme-linked immunosorbent assay in 363 chronic liver disease (CLD) patients with and without HCC.

RESULTS

In both viral and non-viral CLD, PKCδ can detect HCCs with high sensitivity and specificity, particularly in the very early stages. Notably, the value and sensitivity of PKCδ were not modified by HCV elimination status. Liver injury and warfarin administration, which are known to cause false-positive results for conventional markers, did not modify PKCδ levels.

CONCLUSIONS

PKCδ is an enhanced biomarker for the diagnosis of HCC that compensates for the drawbacks of conventional markers.

Risks and Clinical Predictors of Hepatocellular Carcinoma in Chinese Populations: A Real-World Study of 10,359 Patients in Six Medical Centers

Purpose

Early detection of hepatocellular carcinoma (HCC) through surveillance could reduce this cancer-associated mortality. We aimed to develop and validate algorithms using panel serum biomarkers to identify HCC in a real-world multi-center study in China.

Patients and Methods

A total of 10,359 eligible subjects, including HCCs and benign liver diseases (BLDs), were recruited from six Chinese medical centers. The three nomograms were built using logistic regression and their sensitivities and specificities were carefully assessed in training and validation cohorts. HCC patients after surgical resection were followed to determine the prognostic values of these algorithms. Prospective surveillance performance was assessed in a cohort of chronic hepatitis B patients during 144 weeks follow-up.

Results

Independent risk factors such as alpha-fetoprotein (AFP), lens cuinaris agglutinin-reactive fraction of AFP (AFP-L3), des-gamma-carboxy prothrombin (DCP), albumin (ALB), and total bilirubin (TBIL) obtained from train cohort were used to construct three nomograms (LAD, C-GALAD, and TAGALAD) using logistic regression. In the training and two validation cohorts, their AUCs were all over 0.900, and the higher AUCs appeared in TAGALAD and C-GALAD. Furthermore, the three nomograms could effectively stratify HCC into two groups with different survival and recurrence outcomes in follow-up validation. Notably, TAGALAD could predict HCC up to 48 weeks (AUC: 0.984) and 24 weeks (AUC: 0.900) before clinical diagnosis.

Conclusion

The proposed nomograms generated from real-world Chinese populations are effective and easy-to use for HCC surveillance, diagnosis, as well as prognostic evaluation in various clinical scenarios based on data feasibility.

Molecular Biomarkers in Cholangiocarcinoma: Focus on Bile

Hepatobiliary system cancers have demonstrated an increasing incidence rate in the past years. Without the presence of early symptoms, the majority of such cancers manifest with a set of similar symptoms, such as cholestasis resulting in posthepatic icterus. Differential diagnosis of hepatobiliary cancers is required for the therapy selection, however, the similarity of the symptoms complicates diagnostics. Thus, the search for molecular markers is of high interest for such patients. Cholangiocarcinoma (CCA) is characterized by a poor prognosis due to a low resectability rate, which occurs because this disease is frequently beyond the limits of surgical therapy at the time of diagnosis. The CCA is diagnosed by the combination of clinical/biochemical features, radiological methods, and non-specific serum tumor biomarkers, although invasive examination is still needed. The main disadvantage is limited specificity and sensitivity, which complicates early diagnostics. Therefore, prognostic and predictive biomarkers are still lacking and urgently needed for early diagnosis. In contrast to serum, bile is more accessible to identify biliary disease due to its simpler composition. Moreover, bile can contain higher concentrations of tumor biomarkers due to its direct contact with the tumor. It is known that the composition of the main bile component - bile acids, may vary during different diseases of the biliary tract. This review summarizes the recent developments in the current research on the diagnostic biomarkers for CCA in serum and bile and provides an overview of the methods of bile acids analysis.

Recurrence after percutaneous radiofrequency ablation of hepatocellular carcinoma: Analysis of the pattern and risk factors

Background

Hepatocellular carcinoma (HCC) frequently relapses after minimally invasive treatment. This study aimed to observe the influencing factors of different recurrence patterns after radiofrequency ablation (RFA) for the treatment of recurrence.

Methods

The medical records of HCC patients who underwent RFA between January 2010 and January 2019 were retrospectively reviewed. HCC recurrence is classified into three types: local tumour progression (LTP), intrahepatic distant metastasis, and extrahepatic metastasis. Risk factors, overall survival (OS), and disease-free survival (DFS) were assessed for each modality. Among the risk factors are age, gender, liver function tests, blood tests, and tumour size. The OS and DFS curves were measured by the Kaplan-Meier method.

Results

406 patients who had undergone RFA were included in the study. The median survival for OS and DFS were 120 and 43.6 months. During follow-up, 39, 312, and 55 patients developed LTP, intrahepatic distant metastasis, and extrahepatic metastatic recurrence, respectively. The independent risk factors for each type were as follows: WBC > 5.55*109/L was an independent risk factor for local recurrence. Multiple tumours, extrahepatic metastases, and AFP > 200 ng/ml were used for intrahepatic metastases. Age (P = 0.030), recurrence pattern (P < 0.001) and Child-Pugh class B (P = 0.015) were independent predictors of OS.

Conclusions

According to our classification, each pattern of recurrence has different risk factors for recurrence, OS, and DFS.

The Performance of GALAD Score for Diagnosing Hepatocellular Carcinoma in Patients with Chronic Liver Diseases: A Systematic Review and Meta-Analysis

Background GALAD score, comprising five clinical parameters, is a predictive model developed for hepatocellular carcinoma (HCC) detection. Since its emergence, its diagnostic ability has been validated in different populations with a wide variation. Therefore, we conducted a meta-analysis to investigate its overall diagnostic performance in differentiating HCC in chronic liver diseases. Methods Eligible studies were searched in the Web of Science, PubMed, Scopus, Ovid, Cochrane Library, and Embase databases by 29 May 2022. Pooled sensitivity, pooled specificity, and area under the receiver operating characteristic curve (AUC) with the corresponding 95% confidence intervals (CI) were estimated. Results Fifteen original studies (comprising 19,021 patients) were included. For detecting any-stage HCC, GALAD score yielded an excellent ability, with pooled sensitivity, specificity, and AUC of 0.82 (95%CI: 0.78-0.85), 0.89 (95%CI: 0.85-0.91), and 0.92 (95%CI: 0.89-0.94), respectively. Notably, further analyses demonstrated a good diagnostic accuracy of GALAD score for identifying Barcelona Clinic Liver Cancer staging (BCLC) 0/A HCC, with a moderate sensitivity (0.73 (95%CI: 0.66-0.79)) and a high specificity (0.87 (95%CI: 0.81-0.91)); by contrast, only 38% of early-stage patients can be identified by alpha-fetoprotein, with an AUC value of 0.70 (95%CI: 0.66-0.74). Following subgroup analyses based on different HCC etiologies, higher sensitivities and AUC values were observed in subgroups with hepatitis C or non-viral liver diseases. For detecting BCLC 0/A HCC in the cirrhotic population, GALAD score had a pooled sensitivity, specificity, and AUC of 0.78 (95%CI: 0.66-0.87), 0.80 (95%CI: 0.72-0.87), and 0.86 (95%CI: 0.83-0.89). Conclusions We highlighted the superior diagnostic accuracy of GALAD score for detecting any-stage HCC with a high sensitivity and specificity, especially for early-stage HCC, with a relatively stable diagnostic performance. The addition of GALAD score into ultrasound surveillance may identify more HCC patients. Our findings imply the robust power of the GALAD score as a HCC screening or diagnostic tool, and it should be further validated by more studies with high quality.

Protein Kinase C Delta Is a Novel Biomarker for Hepatocellular Carcinoma

Backgrounds and Aims

Hepatocellular carcinoma (HCC) is the most common cancer with a poor prognosis. Identification of an alternative biomarker that can detect early-stage and conventional tumor marker-negative HCC is urgently needed. We found that protein kinase C delta (PKCδ) is specifically secreted from HCC cell lines into extracellular space and contributes to tumor development and that its serum levels were elevated in HCC patients. This study aimed to assess the practical usefulness of serum PKCδ for detecting HCC in chronic liver disease (CLD) patients.

Methods

Serum PKCδ levels in 313 CLD patients with and without HCC (n = 187 and 126, respectively) were measured using a sandwich enzyme-linked immunosorbent assay. The diagnostic performance of PKCδ for HCC was evaluated using the receiver operating characteristic curve analysis and was compared with that of conventional markers, α-fetoprotein (AFP), and des-γ-carboxy prothrombin (DCP).

Results

Serum PKCδ levels in HCC patients were significantly higher than those in CLD patients without HCC. PKCδ distinguished HCC patients from CLD patients without HCC, with high sensitivity and specificity. Subgroup analyses revealed that the diagnostic performance of PKCδ for HCC was comparable to that of AFP and DCP, and that approximately 40% of AFP/DCP double-negative HCC patients were positive for PKCδ. PKCδ yielded better diagnostic performance for detecting solitary small-sized (ie, very early stage) HCC than AFP and DCP. There was no significant correlation between serum PKCδ and AFP/DCP levels.

Conclusion

Serum PKCδ is a novel HCC biomarker, which is independent of and complementary to conventional markers. Specifically, PKCδ may be useful for detecting very early-stage or AFP/DCP double-negative HCC.

Correlation Between Serum Alpha-Fetoprotein and Tumour Size in Patients With Hepatocellular Carcinoma Treated With Direct-Acting Antivirals

Objectives: Since its first description, alpha-fetoprotein has become the most widely used marker for diagnosing and monitoring patients with hepatocellular carcinoma (HCC). This study aims to assess the correlation between serum levels of alpha-fetoprotein and tumour dimensions in patients diagnosed with HCC, that were previously treated with direct-acting antivirals for hepatitis C viral infection.

Materials and methods: We conducted a retrospective cohort study on 47 patients with a personal history of hepatitis C virus infection, who were diagnosed with different forms of HCC more than one year after achieving sustained virologic response after 12 weeks post-treatment. Patients were monitored by liver function tests, tumoral markers, blood cell count and coagulation profile and underwent imagistic explorations such as abdominal ultrasonography and, in selected cases, computerised tomography/magnetic resonance imaging. Tumour burden was assessed by both tumour burden score and seven-eleven criteria.

Results: The study mostly included cirrhotic patients, multinodular HCC being the predominant pattern. All patients had alpha-fetoprotein levels over 100 ng/ml, with values largely varying, in accordance with the tumour dimensions. Most patients had medium-range Tumour Burden Score, a variable that also correlated with nodule size.

Conclusions: The study found a significant correlation between serum alpha-fetoprotein and tumour size in patients with HCC. Alpha-fetoprotein also correlated well with Tumour Burden Score and remains a very important diagnostic and prognostic tool for patients with HCC.

De novo identification of maximally deregulated subnetworks based on multi-omics data with DeRegNet

Background

With a growing amount of (multi-)omics data being available, the extraction of knowledge from these datasets is still a difficult problem. Classical enrichment-style analyses require predefined pathways or gene sets that are tested for significant deregulation to assess whether the pathway is functionally involved in the biological process under study. De novo identification of these pathways can reduce the bias inherent in predefined pathways or gene sets. At the same time, the definition and efficient identification of these pathways de novo from large biological networks is a challenging problem.

Results

We present a novel algorithm, DeRegNet, for the identification of maximally deregulated subnetworks on directed graphs based on deregulation scores derived from (multi-)omics data. DeRegNet can be interpreted as maximum likelihood estimation given a certain probabilistic model for de-novo subgraph identification. We use fractional integer programming to solve the resulting combinatorial optimization problem. We can show that the approach outperforms related algorithms on simulated data with known ground truths. On a publicly available liver cancer dataset we can show that DeRegNet can identify biologically meaningful subgraphs suitable for patient stratification. DeRegNet can also be used to find explicitly multi-omics subgraphs which we demonstrate by presenting subgraphs with consistent methylation-transcription patterns. DeRegNet is freely available as open-source software.

Conclusion

The proposed algorithmic framework and its available implementation can serve as a valuable heuristic hypothesis generation tool contextualizing omics data within biomolecular networks.

Update on the applications and limitations of alpha-fetoprotein for hepatocellular carcinoma

Alpha-fetoprotein (AFP) is an oncofetal glycoprotein that has been used as a tumor marker for hepatocellular carcinoma (HCC) in combination with ultrasound and other imaging modalities. Its utility is limited because of both low sensitivity and specificity, and discrepancies among the different methods of measurements. Moreover, its accuracy varies according to patient characteristics and the AFP cut-off values used. Combination of AFP with novel biomarkers such as AFP-L3, Golgi specific membrane protein (GP73) and des-gamma-carboxyprothrombin significantly improved its accuracy in detecting HCC. Increased AFP level could also signify severity of hepatic destruction and subsequent regeneration and is commonly observed in patients with acute and chronic liver conditions and cirrhosis. Hereditary and other non-hepatic disorders can also cause AFP elevation.

Diagnostic accuracy and prognostic significance of osteopontin in liver cirrhosis and hepatocellular carcinoma: a Meta-analysis

OBJECTIVE

At present, there is no definite suggestion about effective tumour biomarkers for the diagnostic accuracy and prognostic significance of hepatocellular carcinoma (HCC) and liver cirrhosis (LC). The aim of our research was to determine the value of the tumour biomarker osteopontin (OPN), which is encoded by the Spp1 gene, in the diagnosis, prognosis and development of HCC and LC through meta-analysis.

METHODS

A systematic literature search was performed in the PubMed, Embase, Cochrane Library and China National Knowledge Infrastructure electronic databases up to March 2021. Studies evaluating the diagnostic and/or prognostic value of OPN in HCC and/or LC were included.

RESULTS

From the systematic search, 35 studies including 9150 participants were eligible, 25 of which provided data on the diagnostic value of OPN overexpression, while 15 studies provided data on the prognostic value. OPN had high diagnostic accuracy in both HCC and LC patients compared with healthy controls, and the diagnostic efficiency was increased by the biomarker combination OPN + AFP.

CONCLUSIONS

OPN may be adopted as a promising predictive tumour biomarker for the diagnosis and prognosis of HCC and LC and may be a potential therapeutic target.

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

BACKGROUND

The present study aimed to systematically evaluate the diagnostic value of an isoform of alpha-fetoprotein (AFP), AFP-L3, for early hepatocellular carcinoma (HCC) by a meta-analysis.

METHODS

Diagnostic reports of AFP-L3% in early HCC were searched in the PubMed, Web of Science, Cochrane Library, and Embase databases up to December 2019. The retrieved literature was reviewed, and eligible articles were selected. Data were extracted from the eligible articles, and the risk of bias was evaluated according to the Quality Assessment of Diagnostic Accuracy Studies scale. Statistical analyses were conducted by MetaDiSc1.4 and RevMan5.3 software. The sensitivities, specificities, and diagnostic odds ratios were pooled. The summary receiver operating characteristic curve was drawn, and the area under the curve was calculated.

RESULTS

Six studies with acceptable quality were included in the meta-analysis involving 2447 patients. No threshold effect was observed among the 6 studies, but there was obvious heterogeneity. The pooled sensitivity, specificity, and positive and negative likelihood ratios of AFP-L3% for the diagnosis of early HCC were 0.34 (95% CI 0.30-0.39, P < .0001), 0.92 (95% CI 0.91-0.93, P < .0001), 4.46 (95% CI 2.94-6.77, P = .0033), and 0.71 (95% CI 0.61-0.82, P = .0004), respectively. The diagnostic odds ratio was 6.78 (95% CI 4.02-11.44, P = .0074). The the area under the curve of the summary receiver operating characteristic was 0.755 (95% CI 0.57-0.94).

CONCLUSION

AFP-L3% has high specificity but low sensitivity for diagnose early HCC, suggesting that AFP-L3% is more valuable for excluding HCC in conditions with elevated AFP than for diagnosing early HCC. In addition, a hypersensitive detection method can improve the diagnostic accuracy of AFP-L3% for early HCC.

Hepatic Stellate Cell: A Potential Target for Hepatocellular Carcinoma

Liver cancer is a leading cause of cancer-related death worldwide, in which hepatocellular carcinoma (HCC) accounts for the majority. Despite the progression in treatment, the prognosis remains extremely poor for HCC patients. The mechanisms of hepatocarcinogenesis are complex, of which fibrosis is acknowledged as the pre-cancerous stage of HCC. Approximately, 80-90% of HCC develops in the fibrotic or cirrhotic livers. Hepatic stellate cells (HSCs), the main effector cells of liver fibrosis, could secret various biological contents to maintain the liver inflammation. By decades, HSCs are increasingly correlated with HCC in the tumor microenvironment. In this review, we summarized the underlying mechanisms that HSCs participated in the genesis and progression of HCC. HSCs secrete various bioactive contents and regulate tumor-related pathways, subsequently contribute to metastasis, angiogenesis, immunosuppression, chemoresistance and cancer stemness. The study indicates that HSC plays vital roles in HCC progression, suggesting it as a promising therapeutic target for HCC treatment.

Serum Angiopoietin 2 acts as a diagnostic and prognostic biomarker in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is typically accompanied by abundant arterial blood flow. Although angiogenic growth factors such as Angiopoietin 2 (Ang2) play a central role in tumor angiogenesis in HCC, the role of serum Ang2 as a biomarker in HCC remains unclear. In this study, we aimed to investigate the potential of Ang2 as a diagnostic and prognostic biomarker in HCC using a sandwich enzyme-linked immunosorbent assay (ELISA). The median Ang2 levels in controls (n=20), chronic liver disease patients (n=98), and HCC patients (n=275) were 1.58, 2.33, and 3.53 ng/mL, respectively. The optimal cut-off value of Ang2 was determined as 3.5 ng/mL by receiver operating curve analysis. The sensitivity, specificity, and accuracy of Ang2 for HCC detection were 50.9, 83.7, and 59.5%, respectively. Spearman's rank correlation coefficient analysis demonstrated only a weak correlation between Ang2 serum levels and alpha-fetoprotein (AFP) or des-gamma-carboxy prothrombin (DCP) serum levels. The diagnostic value of Ang2 was comparable to those of other existing markers. In addition, 24 out of 73 patients with normal AFP and DCP levels (32.9%) demonstrated abnormally high Ang2 levels (≥3.5 ng/mL). Although no significant difference in overall survival was found between Ang2^high and Ang2^low patients with curative ablation therapy, recurrence-free survival (RFS) in Ang2^high patients was observed to be significantly shorter than those in Ang2^low patients. Multivariate analysis demonstrated that high serum Ang2 levels (≥3.5 ng/mL) and the presence of multiple tumors were poor prognostic factors. In conclusion, our findings indicate that serum Ang2 is a potential novel biomarker for both diagnosis and prognosis in HCC.

Diagnostic value of 5 serum biomarkers for hepatocellular carcinoma with different epidemiological backgrounds: A large-scale, retrospective study

Objective:

Hepatocellular carcinoma (HCC) is a lethal global disease that requires an accurate diagnosis. We assessed the potential of 5 serum biomarkers (AFP, AFU, GGT-II, GPC3, and HGF) in the diagnosis of HCC.

Methods:

In this retrospective study, we measured the serum levels of each biomarker using ELISAs in 921 participants, including 298 patients with HCC, 154 patients with chronic hepatitis (CH), 122 patients with liver cirrhosis (LC), and 347 healthy controls from 3 hospitals. Patients negative for hepatitis B surface antigen and hepatitis C antibody (called “NBNC-HCC”) and patients positive for the above indices (called “HBV-HCC and HCV-HCC”) were enrolled. The selected diagnostic model was constructed using a training cohort (n = 468), and a validation cohort (n = 453) was used to validate our results. Receiver operating characteristic analysis was used to evaluate the diagnostic accuracy.

Results:

The α-L-fucosidase (AFU)/α-fetoprotein (AFP) combination was best able to distinguish NBNC-HCC [area under the curve: 0.986 (95% confidence interval: 0.958–0.997), sensitivity: 92.6%, specificity: 98.9%] from healthy controls in the test cohort. For screening populations at risk of developing HCC (CH and LC), the AFP/AFU combination improved the diagnostic specificity for early-stage HCC [area under the curve: 0.776 (0.712–0.831), sensitivity: 52.5%, specificity: 91.6% in the test group]. In all-stage HBV-HCC and HCV-HCC, AFU was also the best candidate biomarker combined with AFP [area under the curve: 0.835 (0.784–0.877), sensitivity 69.1%, specificity: 87.4% in the test group]. All results were verified in the validation group.

Conclusions:

The AFP/AFU combination could be used to identify NBNC-HCC from healthy controls and hepatitis-related HCC from at-risk patients.

Gut Microbiota, Peroxisome Proliferator-Activated Receptors, and Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world. HCC incidence rate is sixth and mortality is fourth worldwide. However, HCC pathogenesis and molecular mechanisms remain unclear. The incidence of HCC is associated with genetic, environmental, and metabolic factors. The role of gut microbiota in the pathogenesis of HCC has attracted researchers' attention because of anatomical and functional interactions between liver and intestine. Studies have demonstrated the involvement of gut microbiota in the development of HCC and chronic liver diseases, such as alcoholic liver disease (ALD), nonalcoholic fatty liver disease (NAFLD), and liver cirrhosis. Peroxisome proliferator-activated receptors (PPARs) are a group of receptors with diverse biological functions. Natural and synthetic PPAR agonists show potential for treatment of NAFLD, liver fibrosis, and HCC. Recent studies have demonstrated that PPARs take part in gut microbiota inhabitation and adaptation. This manuscript reviews the role of gut microbiota in the development of HCC and precancerous diseases, the role of PPARs in modulation of gut microbiota and HCC, and potential of gut microbiota for HCC diagnosis and treatment.

Enhanced CT Textures Derived From Computer Mathematic Distribution Analysis Enables Arterial Enhancement Fraction Being an Imaging Biomarker Option of Hepatocellular Carcinoma

Purpose: This study aims to explore the imaging–clinic relationship and an optional imaging biomarker of hepatocellular carcinoma (HCC) by using texture analysis on arterial enhancement fraction (AEF).

Materials and Methods: The HCC patients treated in No. 2 Interventional Ward, ShengJing Hospital of China Medical University from June 2018 to June 2019 were enrolled, for whom tri-phasic enhanced CT scans were acquired. Perfusion analysis and texture analysis were then performed on the tri-phasic enhanced CT images. After the region of interest (ROI) of viable HCC was drawn, 13 AEF textures describing the values distribution were conducted. A between-groups comparison of AEF textures was made where the cases had grouping properties, a correlation analysis was made between AEF textures and alpha-fetoprotein (AFP) as well as other clinical data which were digital, and regression analysis was made when a significant correlation was found. SPSS 19.0 (IBM) was utilized for statistical analysis; a significant difference was considered when P < 0.05.

Results: Twenty-five HCC patients were enrolled. Several AEF textures were found to have a correlation with clinical features, including previous surgery history, age, glutamic oxaloacetylase, indirect bilirubin, creatinine, and AFP. The majority of AEF textures (up to 9/13) were found to have a correlation with AFP (SD, variance, uniformity, energy, entropy, inertia, correlation, inverse difference moment, and cluster prominence), while six or seven textures have a linear or cubic relationship with AFP (SD, variance, uniformity, inertia, correlation, cluster prominence, plus inverse difference moment).

Conclusion: The AEF textures of HCC are strongly correlated with and are impacted by AFP, which may enable AEF to act as an optional imaging biomarker of HCC.

Progress and prospects of biomarkers in primary liver cancer (Review)

Tumor biomarkers are important in the early screening, diagnosis, therapeutic evaluation, recurrence and prognosis prediction of tumors. Primary liver cancer is one of the most common malignant tumors; it has high incidence and mortality rates and seriously endangers human health. The main pathological types of primary liver cancer include hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) and combined HCC‑cholangiocarcinoma (cHCC‑CC). In the present review, a systematic outline of the current biomarkers of primary liver cancer is presented, from conventional blood biomarkers, histochemical biomarkers and potential biomarkers to resistance‑associated biomarkers. The important relationships are deeply elucidated between biomarkers and diagnosis, prognosis, clinicopathological features and resistance, as well as their clinical significance, in patients with the three main types of primary liver cancer. Moreover, a summary of several important biomarker signaling pathways is provided, which is helpful for studying the biological mechanism of liver cancer. The purpose of this review is to provide help for clinical or medical researchers in the early diagnosis, differential diagnosis, prognosis and treatment of HCC.

Dual-Aptamer Modified Graphene Field-Effect Transistor Nanosensor for Label-Free and Specific Detection of Hepatocellular Carcinoma-Derived Microvesicles

Cancerous microvesicles (MVs), which are heterogeneous membrane-bound nanovesicles shed from the surfaces of cancer cells into the extracellular environment, have been widely recognized as promising "biofingerprints" for various cancers. High-performance identification of cancerous MVs plays a vital role in the early diagnosis of cancer, yet it is still technically challenging. Herein, we report a gold nanoparticle (AuNP)-decorated, dual-aptamer modified reduced graphene oxide (RGO) field-effect transistor (AAP-GFET) nanosensor for the label-free, specific, and sensitive quantification of HepG2 cell-derived MVs (HepG2-MVs). After GFET chips were fabricated, AuNPs were then decorated on the RGO surface. For specific capture and detection of HepG2-MVs, both sulfhydrylated HepG2 cell specific TLS11a aptamer (Apt_TLS11a) and epithelial cell adhesion molecule aptamer (Apt_EpCAM) were immobilized on the AuNP surface through an Au-S bond. This developed nanosensor delivered a broad linear dynamic range from 6 × 10⁵ to 6 × 10⁹ particles/mL and achieved a high sensitivity of 84 particles/μL for HepG2-MVs detection. Moreover, this AAP-GFET platform was able to distinguish HepG2-MVs from other liver cancer-related serum proteins (such as AFP and CEA) and MVs derived from human normal cells and other cancer cells of lung, pancreas, and prostate, suggesting its excellent method specificity. Compared with those modified with a single type of aptamer alone (Apt_TLS11a or Apt_EpCAM), such an AAP-GFET nanosensor showed greatly enhanced signals, suggesting that the dual-aptamer-based bio-nano interface was uniquely designed and could realize more sensitive quantification of HepG2-MVs. Using this platform to detect HepG2-MVs in clinical blood samples, we found that there were significant differences between healthy controls and hepatocellular carcinoma (HCC) patients, indicating its great potential in early HCC diagnosis.

Serum fibroblast growth factor 19 serves as a potential novel biomarker for hepatocellular carcinoma

Background

Abnormal autocrine fibroblast growth factor 19 (FGF19) production has been observed in several types of cancers, including hepatocellular carcinoma (HCC). In this study, we investigated the potential of serum FGF19 as a novel tumor marker of HCC based on a sandwich enzyme-linked immunosorbent assay (ELISA).

Methods

The serum FGF19 levels of 304 patients with HCC was measured by ELISA. The serum levels of existing markers, including alpha-fetoprotein (AFP) and des-gamma-carboxy prothrombin (DCP) were determined by chemiluminescence enzyme immunoassay. Both diagnostic value of FGF19 and its changes after curative ablation therapy was further examined.

Results

The median FGF19 levels in controls, chronic liver disease patients, and primary HCC patients, were 78.8 pg/mL, 100.1 pg/mL, and 214.5 pg/mL, respectively. The subsequent receiver operating characteristic curves (ROC) successfully determined an optimal cut-off value of 200.0 pg/mL. The area under the ROC curve (AUC) of FGF19 for HCC detection was comparable to those of AFP and DCP. Of importance, FGF19 showed higher sensitivity for the detection of small HCC (solitary cancer with diameter < 20 mm) than those of existing markers. In addition, 43 out of 79 cases (54.4%) with normal AFP and DCP (so-called “double negative HCC”) exhibited serum FGF19 level ≥ 200 pg/mL. In 45 HCC patients treated with curative ablation therapy, serum FGF19 levels changed from 257.4 pg/mL to 112.0 pg/mL after the treatment.

Conclusion

Our findings reveal that FGF19 can be a potential novel biomarker for HCC. Although FGF19 is not necessarily a substitute for existing markers, it may help improve the prognosis in HCC patients owing to its resourceful use in various aspects of HCC management and treatment.

A Rare Presentation of Hepatocellular Carcinoma Infiltrating the Gallbladder

Hepatocellular carcinoma (HCC) is a solid tumor of the liver and one of the most common primary tumors of the liver. Lifestyle being a major risk factor for the development of HCC makes it a major public health concern worldwide. HCC rarely infiltrates the gall bladder because it rarely destroys the muscle layer and collagen fibers of the gallbladder wall. We report here a rare case of hepatocellular carcinoma that invaded the gallbladder and was initially misdiagnosed as primary gallbladder malignancy invading the liver.

Early Cancer Detection from Multianalyte Blood Test Results

The early detection of cancers has the potential to save many lives. A recent attempt has been demonstrated successful. However, we note several critical limitations. Given the central importance and broad impact of early cancer detection, we aspire to address those limitations. We explore different supervised learning approaches for multiple cancer type detection and observe significant improvements; for instance, one of our approaches (i.e., CancerA1DE) can double the existing sensitivity from 38% to 77% for the earliest cancer detection (i.e., Stage I) at the 99% specificity level. For Stage II, it can even reach up to about 90% across multiple cancer types. In addition, CancerA1DE can also double the existing sensitivity from 30% to 70% for detecting breast cancers at the 99% specificity level. Data and model analysis are conducted to reveal the underlying reasons. A website is built at http://cancer.cs.cityu.edu.hk/.

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We propose an approach (CancerA1DE) to detect early cancers from blood

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CancerA1DE doubles the existing sensitivity for the stage I cancer detection

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For stage II cancers, it can reach up to 90% across multiple cancer types

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The related software is opened and released for future follow-up works

Tumor markers: myths and facts unfolded

OBJECTIVE

The purpose of this article is to review the most commonly used tumor markers in abdominal and pelvic tumors, describe their limitations and explain how to use them in the context of known cancer in order to optimize multidisciplinary care of oncologic patients.

CONCLUSION

Tumor markers are important for the diagnosis, staging, monitoring of treatment and detection of recurrence in many cancers. This knowledge is crucial in the daily interpretation of images of oncologic and non-oncologic patients. However, radiologists should also be aware of the limitations of the most commonly used tumor markers and they should not be used solely, but interpreted in conjunction with diagnostic imaging, clinical history and physical examination that will help optimize the multidisciplinary care and management of oncologic patients.

The value of neutrophil to lymphocyte ratio and gamma-glutamyl transpeptidase to platelet ratio in patients with hepatocellular carcinoma

Our study aimed to evaluate the value of neutrophil to lymphocyte ratio (NLR) and gamma-glutamyl transpeptidase to platelet ratio (GPR) in patients with hepatocellular carcinoma (HCC).A total of 565 patients with pathological diagnosis of HCC were retrospectively analyzed and 414 patients diagnosed with cirrhosis were treated as a control group. All clinical materials were collected from the First Affiliated Hospital of Guangxi Medical University.The preintervention NLR, GPR, and α-fetoprotein (AFP) were significantly higher in HCC patients than in the controls (PNLR < .000, PGPR < .000, PAFP < .000). The NLR and GPR were correlated with the Barcelona clinic liver cancer (BCLC) stages, Child-Pugh grades, and tumor size, but not with Edmondson-Steiner grades. Combined use of NLR or GPR with AFP produced larger area under the curve (AUC) (AUCNLR+AFP = 0.916; AUCNLR+AFP = 0.953) than NLR (P < .000), GPR (P < .000), or AFP (P < .000) used alone.The preintervention hematologic parameters (NLR and GPR) studied herein were associated with the BCLC stages of HCC. Combined use of NLR or GPR with AFP may improve early detection and diagnosis of HCC.

[High-performance liquid chromatography-mass spectrometry-based serum metabolic profiling in patients with HBV-related hepatocellular carcinoma]

OBJECTIVE

To explore the diagnostic value of the serum metabolites identified by high-performance liquid chromatography-mass spectrometry (HPLC/MS) for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).

METHODS

A total of 126 patients admitted to Tianjin Third Central Hospital were enrolled, including 27 patients with HBV-related hepatitis with negative viral DNA (DNA-N), 24 with HBV-related hepatitis with positive viral DNA, 24 with HBV-related liver cirrhosis, 27 with HBV-related HCC undergoing surgeries or radiofrequency ablation, and 24 with HBV-related HCC receiving interventional therapy, with 25 healthy volunteers as the normal control group. Serum samples were collected from all the subjects for HPLC/MS analysis, and the data were pretreated to establish an orthogonal partial least- squares discriminant analysis (OPLS-DA) model. The differential serum metabolites were preliminarily screened by comparisons between the HBV groups and the control group, and the characteristic metabolites were identified according to the results of non-parametric test. The potential clinical values of these characteristic metabolites were evaluated using receiver operator characteristic curve (ROC) analysis.

RESULTS

A total of 25 characteristic metabolites were identified in the HBV- infected patients, including 9 lysophosphatidylcholines, 2 fatty acids, 17α-estradiol, sphinganine, 5-methylcytidine, vitamin K2, lysophosphatidic acid, glycocholic acid and 8 metabolites with few reports. The patients with HBV- related HCC showed 22 differential serum metabolites compared with the control group, 4 differential metabolites compared with patients with HBV-related liver cirrhosis; 10 differential metabolites were identified in patients with HBV-related HCC receiving interventional therapy compared with those receiving surgical resection or radiofrequency ablation. From the normal control group to HBV-related HCC treated by interventional therapy, many metabolites underwent variations following a similar pattern.

CONCLUSIONS

We identified 25 characteristic metabolites in patients with HBV-related HCC, and these metabolites may have potential clinical values in the diagnosis of HBV-related HCC. The continuous change of some of these metabolites may indicate the possibility of tumorigenesis, and some may also have indications for the choice of surgical approach.

Osteopontin versus alpha-fetoprotein as a diagnostic marker for hepatocellular carcinoma: a meta-analysis

Background

Several studies have reported that osteopontin (OPN) is a promising marker for the diagnosis of hepatocellular carcinoma (HCC); however, some studies emerged with conflicting results. Therefore, we provide a systematic review to evaluate the diagnostic performance of OPN for HCC.

Methods

Studies that investigated the diagnostic value of OPN and alpha-fetoprotein (AFP) in HCC were collected from PubMed and Embase. Sensitivity, specificity, and other parameters about the diagnostic accuracy of serum OPN and AFP in HCC were pooled using STATA 12.0 software. The summary receiver operating characteristic curve (sROC) and other parameters were used to summarize the overall test performance.

Results

Twelve studies were included in our meta-analysis. Pooled sensitivity, specificity, and diagnostic odds ratio were 0.813 (95% CI: 0.671-0.902), 0.874 (95% CI: 0.778-0.932), and 30.047 (95% CI: 8.845-102.067) for OPN; 0.639 (95% CI: 0.538-0.729), 0.959 (95% CI: 0.909-0.982), and 41.518 (95% CI: 13.688-125.929) for AFP; and 0.856 (95% CI: 0.760-0.918), 0.738 (95% CI: 0.630-0.823), and 16.718 (95% CI: 7.950-35.156) for OPN+AFP, respectively. The area under the sROC for OPN, AFP, and OPN+AFP was 0.91, 0.88, and 0.85, respectively. For diagnosis of early HCC, pooled sensitivity of serum OPN, AFP, and OPN+AFP was 0.493 (95% CI: 0.422-0.563), 0.517 (95% CI: 0.446-0.587), and 0.732 (95% CI: 0.666-0.791), respectively.

Conclusions

OPN is a comparable marker to AFP for the diagnosis of HCC, and the sensitivity of OPN was higher than that of AFP. A combination of AFP and OPN can elevate the sensitivity of diagnosis for early HCC.

NRAGE is a potential diagnostic biomarker of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common cancers and a leading cause of cancer-related deaths worldwide. Early diagnosis of HCC remains a great challenge in clinic. Novel and effective biomarkers are in urgent need in early diagnosis of HCC.Serum levels of neurotrophin-receptor-interacting melanoma antigen-encoding gene homolog (NRAGE) were measured for 107 patients with HCC, 98 patients with benign liver diseases, and 89 healthy controls using quantitative real-time polymerase chain reaction. Receiver operating characteristic curve was applied to evaluate the diagnostic capacity of serum NRAGE in HCC.NRAGE expression was significantly higher in patients with HCC than in controls (all, P < .05). Moreover, its expression was tightly correlated with TNM stage (P = .004). NRAGE could distinguish patients with HCC from healthy controls with the area under the curve (AUC) of 0.874, yielding a sensitivity of 81.3% and a specificity of 78.7%. Additionally, in differentiation between benign liver diseases and HCC, the AUC value of NRAGE was 0.726, with a sensitivity of 63.6% and a specificity of 73.5%. Meanwhile, alpha-fetoprotein also could distinguish patients with HCC from benign liver disease cases, with an AUC of 0.677, a sensitivity of 64.4%, and a specificity of 60.2%.NRAGE could be a potential biomarker for HCC early diagnosis.

Direct comparison of five serum biomarkers in early diagnosis of hepatocellular carcinoma

BACKGROUND

Although a number of serum biomarkers for detection of hepatocellular carcinoma (HCC) have been explored, their exact diagnostic value remains unclear. We aimed to conduct a direct comparison of five representative serum biomarkers for detecting HCC and to derive multi-marker prediction algorithms.

PATIENTS AND METHODS

In total, 846 patients were recruited from three hospitals in China, including 202 HCC patients, 226 liver cirrhosis patients, 215 chronic hepatitis B virus-infected patients, and 203 healthy volunteers. Serum levels of alpha-fetoprotein (AFP), lens culinaris agglutinin-reactive AFP (AFP-L3), des-gamma-carboxyprothrombin (DCP), squamous cell carcinoma antigen, and centromere protein F autoantibody were measured by ELISA. The diagnostic performances of individual biomarkers and multi-marker combinations were evaluated by receiver operating characteristics analysis. The bootstrapping method was adopted to adjust for potential overfitting of all diagnostic indicators.

RESULTS

DCP exhibited the best diagnostic performance, with areas under the curve (AUC) for detecting HCC of 0.82 (95% CI 0.64-0.80) and sensitivity of 65.2% (95% CI 63.3-82.1%) at 90% specificity. Of note, DCP showed similar diagnostic efficacy for detecting AFP-positive and AFP-negative HCC. After a comprehensive search for multi-marker combinations, a two-marker prediction algorithm including AFP and DCP was constructed and yielded an AUC of 0.87 (95% CI 0.68-0.84) for detecting HCC. In addition, the combination showed good ability in discriminating early-stage HCC and decompensated liver cirrhosis, with an AUC of 0.81 (95% CI 0.75-0.86).

CONCLUSION

DCP could be a complementary biomarker in the early diagnosis of HCC. The constructed multi-marker prediction algorithms could contribute toward distinguishing HCC from non-malignant chronic liver diseases.

Responsibility of hepatitis C virus in the development of hepatocellular carcinoma: From molecular alterations to possible solutions

There are several causes of hepatocellular carcinoma (HCC), but certainly the hepatitis C virus (HCV) is one of the most common. The HCV is able to contribute, both directly and indirectly, to the development of HCC. Determining early HCV clearance before an advanced liver disease develops, is absolutely necessary as this prevents the initiation of the cascade of events induced by HCV that may result in the development of HCC. The early treatment of the infection and the clearance of HCV represents today, in the age of the direct antiviral agents (DAAs), an extraordinary opportunity for true prevention of the development of HCV-related HCC.

Prognostic role of alpha-fetoprotein response after hepatocellular carcinoma resection

AIM

To investigate whether the change in pre-/post-operation serum alpha-fetoprotein (AFP) levels is a predictive factor for hepatocellular carcinoma (HCC) outcomes.

METHODS

We retrospectively analyzed 334 HCC patients who underwent hepatic resection at our hospital between January 2006 and December 2016. The patients were classified into three groups according to their change in serum AFP levels: (1) the normal group, pre-AFP ≤ 20 ng/mL and post-AFP ≤ 20 ng/mL; (2) the response group, pre-AFP > 20 ng/mL and post-AFP decrease of ≥ 50% of pre-AFP; and (3) the non-response group, pre-AFP level > 20 ng/mL and post-AFP decrease of < 50% or higher than pre-AFP level, or any pre-AFP level < 20 ng/mL but post-AFP >20 ng/mL.

RESULTS

Univariate and multivariate analyses revealed that multiple tumors [hazard ratio (HR): 1.646, 95%CI: 1.15-2.35, P < 0.05], microvascular invasion (mVI) (HR: 1.573, 95%CI: 1.05-2.35, P < 0.05), and the non-response group (HR: 2.425, 95% CI: 1.42-4.13, P < 0.05) were significant independent risk factors for recurrence-free survival. Similarly, multiple tumors (HR: 1.99, 95%CI: 1.12-3.52, P < 0.05), mVI (HR: 3.24, 95%CI: 1.77-5.90, P < 0.05), and the non-response group (HR: 3.62, 95%CI: 1.59-8.21, P < 0.05) were also significant independent risk factors for overall survival. The non-response group had significantly lower overall survival rates and recurrence-free survival rates than both the normal group and the response group (P < 0.05). Thus, patients with no response regarding post-surgery AFP levels were associated with poor outcomes.

CONCLUSION

Serum AFP responses are significant prognostic factors for the surgical outcomes of HCC patients, suggesting post-resection AFP levels can direct the management of HCC patients.

A new tumor-associated antigen prognostic scoring system for spontaneous ruptured hepatocellular carcinoma after partial hepatectomy

Objective:

Spontaneous hepatocellular carcinoma (HCC) rupture can be fatal, and hepatic resection could achieve a favorable long-term survival among all strategies of tumor rupture. However, there is no available prognostic scoring system for patients with ruptured HCC who underwent partial hepatectomy.

Methods:

From January 2005 to May 2015, 129 patients with spontaneous HCC rupture underwent partial hepatectomy. Preoperative clinical data were collected and analyzed. Independent risk factors affecting overall survival (OS) were used to develop the new scoring system. Harrell’s C statistics, Akaike information criterion (AIC), the relative likelihood, and the log likelihood ratio were calculated to measure the homogeneity and discriminatory ability of a prognostic system.

Results:

In the multivariable Cox regression analysis, three factors, including tumor size, preoperative α-fetoprotein level, and alkaline phosphatase level, were chosen for the new tumor-associated antigen (TAA) prognostic scoring system. The 1-year OS rates were 88.1%, 43.2%, and 30.2% for TAA scores of 0–5 points (low-risk group), 6–9 points (moderate-risk group), and 10–13 points (high-risk group), respectively. The TAA scoring system had superior homogeneity and discriminatory ability (Harrell’s C statistics, 0.693 vs. 0.627 and 0.634; AIC, 794.79 vs. 817.23 and 820.16; relative likelihood, both < 0.001; and log likelihood ratio, 45.21 vs. 22.77 and 21.84) than the Barcelona Clinic Liver Cancer staging system and the Cancer of the Liver Italian Program in predicting OS. Similar results were found while predicting disease-free survival (DFS).

Conclusions:

The new prognostic scoring system is simple and effective in predicting both OS and DFS of patients with spontaneous ruptured HCC.

Variety and Dynamics of Proteoforms in the Human Proteome: Aspects of Markers for Hepatocellular Carcinoma

We have previously developed an approach, where two-dimensional gel electrophoresis (2DE) was used, followed by sectional analysis of the whole gel using high-resolution nano-liquid chromatography-mass spectrometry (ESI LC-MS/MS). In this study, we applied this approach on the panoramic analysis of proteins and their proteoforms from normal (liver) and cancer (HepG2) cells. This allowed us to detect, in a single proteome, about 20,000 proteoforms coded by more than 4000 genes. A set of 3D-graphs showing distribution of these proteoforms in 2DE maps (profiles) was generated. A comparative analysis of these profiles between normal and cancer cells showed high variability and dynamics of many proteins. Among these proteins, there are some well-known features like alpha-fetoprotein (FETA) or glypican-3 (GPC3) and potential hepatocellular carcinoma (HCC) markers. More detailed information about their proteoforms could be used for generation of panels of more specific biomarkers.

The Immune Revolution in Gastrointestinal Tumours: Leading the Way or Just Following?

The encouraging results in immunotherapy for melanoma also led the way for translational and clinical research about immune-related mechanisms possibly relevant for gastrointestinal tumours. It is in fact now evident that the immune checkpoint modulation and in particular cell-mediated immune-response through programmed cell death-1 (PD-1) and the cytotoxic T-lymphocyte antigen-4 (CTLA4) receptors along with the regulatory T cells activity all have a relevant role in gastrointestinal cancers as well. This review aims to explore the state of the art of immunotherapy for gastrointestinal tumours, deepening recent scientific evidence regarding anti PD-1/PDL-1 and anti CTLA4 monoclonal antibodies, peptide based vaccine, DNA based vaccine, and pulsed dendritic cells, either alone or in combination with other antineoplastic medical therapy and locoregional treatments. Considering the non-negligible toxicity profile deriving from such a treatment approach, predictive biomarkers of response to immunotherapy in gastrointestinal cancer are also urgently needed in order to better select the patients' group with the highest likelihood of benefit.

Diagnostic accuracy of osteopontin plus alpha-fetoprotein in the hepatocellular carcinoma: A meta-analysis

OBJECTIVE

Osteopontin (OPN) has been reported as a potential biomarker for diagnosis of hepatocellular carcinoma (HCC) in many inconsistent results. This study demonstrates a systematic meta-analysis for the evaluation on diagnostic accuracy of serum or plasma OPN and alpha-fetoprotein (AFP) alone and combined assays for HCC.

METHODS

Relevant literatures were searched in PubMed up to August 2016. The quality of each study was evaluated by QUADAS-2 (quality assessment for studies of diagnostic accuracy). Statistical analysis was performed by Meta-Disc 1.4 and Stata 12.0. The random-effect models were used to estimate pooled sensitivity, specificity and other diagnostic indicators of OPN and/or AFP in HCC.

RESULTS

A total of 14 case-control literatures (15 studies) met the inclusion criteria in this meta-analysis. The respective pooled diagnostic sensitivity and specificity were 0.71 (95% CI: 0.69-0.74) and 0.80 (95% CI: 0.78-0.82) for OPN; 0.61 (95% CI: 0.58-0.63) and 0.92 (95% CI: 0.91-0.94) for AFP; 0.82 (95% CI: 0.79-0.84) and 0.77 (95% CI: 0.74-0.80) for OPN plus AFP. Their area under the curve (AUC) values were 0.8786, 0.8718 and 0.9005, respectively.

CONCLUSION

Combination of OPN and AFP was better than OPN or AFP alone in diagnosis of HCC.

Tumor-associated autoantibodies are useful biomarkers in immunodiagnosis of α-fetoprotein-negative hepatocellular carcinoma

AIM

To determine the prevalence and diagnostic value of autoantibodies in α-fetoprotein (AFP)-negative hepatocellular carcinoma (HCC).

METHODS

Fifty-six serum samples from AFP-negative HCC cases, 86 from AFP-positive HCC cases, 168 from chronic liver disease cases, and 59 from normal human controls were included in this study. Autoantibodies to nucleophosmin (NPM)1, 14-3-3zeta and mouse double minute 2 homolog (MDM2) proteins in AFP-negative HCC serum were evaluated by enzyme-linked immunosorbent assay. Partially positive sera were further evaluated by western blotting. Immunohistochemistry was used to detect the expression of three tumor-associated antigens (TAAs) in AFP-negative HCC and normal control tissues.

RESULTS

The frequency of autoantibodies to the three TAAs in AFP-negative HCC sera was 21.4%, 19.6% and 19.6%, which was significantly higher than in the chronic liver disease cases and normal human controls (P < 0.01) as well as AFP-positive HCC cases. The sensitivity of the three autoantibodies for diagnosis of AFP-negative HCC ranged from 19.6% to 21.4%, and the specificity was approximately 95%. When the three autoantibodies were combined, the sensitivity reached 30.4% and the specificity reached 91.6%.

CONCLUSION

Autoantibodies to NPM1, 14-3-3zeta and MDM2 may be useful biomarkers for immunodiagnosis of AFP-negative HCC.

Chimeric antigen receptor-engineered T cells for liver cancers, progress and obstacles

Chimeric antigen receptor-engineered T cells therapy has become the hottest topic of immunotherapy, as its great successes achieved in treating refractory hematological malignancies. These successes also paved the road to novel strategies of treating various solid tumors including liver cancer. Many specific proteins can be expressed aberrantly in liver cancers; therefore, a series of experimental and clinical researches exploring chimeric antigen receptor-engineered T cells and liver cancer are in progress, acquiring obvious antitumor effect and revealing its feasibility in treating liver cancer. However, lots of challenges and obstacles are emerging simultaneously, such as low infiltration, side effects, safety of chimeric antigen receptor-engineered T cells, and limited data of studies or clinical trials. Researchers have been working out many innovative ways to directly stroke these obstacles, theoretically or practically. This review focuses more on the progress and obstacles from chimeric antigen receptor-engineered T cells therapy to treat liver cancer, summarizing new breakthroughs in shooting those obstacles, meanwhile, hoping to provide enlightenment to this promising immunotherapeutic method.

Hepatocyte autotaxin expression promotes liver fibrosis and cancer

Autotaxin (ATX) is a secreted lysophospholipase D that catalyzes the production of lysophosphatidic acid (LPA), a pleiotropic growth-factor-like lysophospholipid. Increased ATX expression has been detected in various chronic inflammatory disorders and different types of cancer; however, little is known about its role and mode of action in liver fibrosis and cancer. Here, increased ATX expression was detected in chronic liver disease (CLD) patients of different etiologies, associated with shorter overall survival. In mice, different hepatotoxic stimuli linked with the development of different forms of CLDs were shown to stimulate hepatocyte ATX expression, leading to increased LPA levels, activation of hepatic stellate cells (HSCs), and amplification of profibrotic signals. Hepatocyte-specific, conditional genetic deletion and/or transgenic overexpression of ATX established a liver profibrotic role for ATX/LPA, whereas pharmacological ATX inhibition studies suggested ATX as a possible therapeutic target in CLDs. In addition, hepatocyte ATX ablation and the consequent deregulation of lipid homeostasis was also shown to attenuate hepatocellular carcinoma (HCC) development, thus implicating ATX/LPA in the causative link of cirrhosis and HCC.

CONCLUSION

ATX is a novel player in the pathogenesis of liver fibrosis and cancer and a promising therapeutic target. (Hepatology 2017;65:1369-1383).

Organ-specific gene modulation: Principles and applications in cancer research

Microarray and next generation sequencing has led to the exploration of correlated gene patterns and their shared functions. Gene modulators are proteins that alter the activity of transcription factors and influence the expression of their target genes. It is assumed that modulators are dependent on transcription factors. Several algorithms have been developed for the detection of gene modulators. On the other hand, it is becoming increasingly evident that modulators play a crucial role in carcinogenesis by interfering with fundamental biologic processes. Therapeutic gene modulation that is based on artificial modification of endogenous gene functions by designer molecules is an exciting new field of investigation.

Osteopontin as a discriminating marker for pancreatic cancer and chronic pancreatitis

INTRODUCTION

We analyzed concentrations of osteopontin (OPN) in patients with pancreatic ductal adenocarcinoma (PDAC) in order to determine firstly whether it is useful to distinguish between PDAC patients and those with chronic non-hereditary pancreatitis (CP) and type 2 diabetes mellitus (T2DM), and secondly whether OPN concentrations depend on the PDAC stage.

METHODS

Groups consisting of 64 patients with PDAC, 71 with CP, 67 with T2DM and 48 healthy controls (CON) were enrolled in the study. Controls were compared with regard to levels of OPN, oxidative stress markers, conventional tumor markers and other biochemical parameters.

RESULTS

Levels of OPN were higher in patients with PDAC compared with CP patients (P< 0.001), T2DM (P< 0.001) and CON (P< 0.001). There were increased OPN levels in CP patients in comparison with T2DM (P< 0.001) and CON (P< 0.001). Patients with PDAC in stage IV had higher OPN levels than PDAC patients in stage III (P< 0.01). There was no difference in OPN levels of PDAC patients in stage III compared to patients in stage II.

CONCLUSION

Our pilot study demonstrates the usefulness of estimating OPN levels to differentiate between pancreatic cancer and chronic pancreatitis. Higher OPN levels over 102 ng/ml could be a potential diagnostic biomarker for pancreatic cancer.

Expression of c-MET Protein in Various Subtypes of Hepatocellular Adenoma Compared to Hepatocellular Carcinoma and Non-Neoplastic Liver in Human Tissue

Hepatocellular adenoma (HA) is a benign neoplasm of the liver, whose aetiopathogenesis is little known. Newest research allowed dividing all cases into three types based on molecular characteristics: inflammatory HA, HA with HNF1A mutation, β-catenin-mutated HA. The clinical significance of HA is chiefly due to the possibility of malignant transformation into hepatocellular carcinoma (HCC). The aim of the present study was to immunohistochemically assess the expression pattern and level of c-MET protein in hepatocellular adenoma (taking into account its status of Wnt/β-catenin pathway functioning) and intertwining the results into a wider pattern of expression in non-neoplastic liver and hepatocellular carcinoma of various histological grades. It was found that expression of c-MET in poorly-differentiated HCC was significantly higher than in non-neoplastic liver and well- to moderately-differentiated HCC. The expression in HA was variable and differed between molecular subtypes of this neoplasm: inflammatory and HNF1A mutation-associated type are characterized by overexpression of c-MET to an extent comparable with poorly-differentiated HCC, whereas Wnt/β-catenin dysfunction-associated type lacks overexpression, and the amount of c-MET protein accumulated in its cells is similar to the levels in non-neoplastic tissue and well- to moderately-differentiated HCC. These findings suggest that c-MET overexpression in HA is not an early event in hepatocarcinogenesis, but constitutes a divergent molecular pathway leading to neoplastic change compared to overexpression observed in the late stages of tumour progression.

Personalized Risk Assessment in Never, Light, and Heavy Smokers in a prospective cohort in Taiwan

The objective of this study was to develop markedly improved risk prediction models for lung cancer using a prospective cohort of 395,875 participants in Taiwan. Discriminatory accuracy was measured by generation of receiver operator curves and estimation of area under the curve (AUC). In multivariate Cox regression analysis, age, gender, smoking pack-years, family history of lung cancer, personal cancer history, BMI, lung function test, and serum biomarkers such as carcinoembryonic antigen (CEA), bilirubin, alpha fetoprotein (AFP), and c-reactive protein (CRP) were identified and included in an integrative risk prediction model. The AUC in overall population was 0.851 (95% CI = 0.840–0.862), with never smokers 0.806 (95% CI = 0.790–0.819), light smokers 0.847 (95% CI = 0.824–0.871), and heavy smokers 0.732 (95% CI = 0.708–0.752). By integrating risk factors such as family history of lung cancer, CEA and AFP for light smokers, and lung function test (Maximum Mid-Expiratory Flow, MMEF_25–75%), AFP and CEA for never smokers, light and never smokers with cancer risks as high as those within heavy smokers could be identified. The risk model for heavy smokers can allow us to stratify heavy smokers into subgroups with distinct risks, which, if applied to low-dose computed tomography (LDCT) screening, may greatly reduce false positives.