Hepatocellular carcinoma: diagnostics and screening

Prediagnostic plasma metabolite concentrations and liver cancer risk: a population-based study of Chinese men

BACKGROUND

Previous metabolic profiling of liver cancer has mostly used untargeted metabolomic approaches and was unable to quantitate the absolute concentrations of metabolites. In this study, we examined the association between the concentrations of 186 targeted metabolites and liver cancer risk using prediagnostic plasma samples collected up to 14 years prior to the clinical diagnosis of liver cancer.

METHODS

We conducted a nested case-control study (n = 322 liver cancer cases, n = 322 matched controls) within the Shanghai Men's Health Study. Conditional logistic regression models adjusted for demographics, lifestyle factors, dietary habits, and related medical histories were used to estimate the odds ratios. Restricted cubic spline functions were used to characterise the dose-response relationships between metabolite concentrations and liver cancer risk.

FINDINGS

After adjusting for potential confounders and correcting for multiple testing, 28 metabolites were associated with liver cancer risk. Significant non-linear relationships were observed for 22 metabolites. The primary bile acid biosynthesis and phenylalanine, tyrosine and tryptophan biosynthesis were found to be important pathways involved in the aetiology of liver cancer. A metabolic score consisting of 10 metabolites significantly improved the predictive ability of traditional epidemiological risk factors for liver cancer, with an optimism-corrected AUC increased from 0.84 (95% CI: 0.81-0.87) to 0.89 (95% CI: 0.86-0.91).

INTERPRETATION

This study characterised the dose-response relationships between metabolites and liver cancer risk, providing insights into the complex metabolic perturbations prior to the clinical diagnosis of liver cancer. The metabolic score may serve as a candidate risk predictor for liver cancer.

FUNDING

National Key Project of Research and Development Program of China [2021YFC2500404, 2021YFC2500405]; US National Institutes of Health [subcontract of UM1 CA173640].

Proteomics-driven noninvasive screening of circulating serum protein panels for the early diagnosis of hepatocellular carcinoma

Early diagnosis of hepatocellular carcinoma (HCC) lacks highly sensitive and specific protein biomarkers. Here, we describe a staged mass spectrometry (MS)-based discovery-verification-validation proteomics workflow to explore serum proteomic biomarkers for HCC early diagnosis in 1002 individuals. Machine learning model determined as P4 panel (HABP2, CD163, AFP and PIVKA-II) clearly distinguish HCC from liver cirrhosis (LC, AUC 0.979, sensitivity 0.925, specificity 0.915) and healthy individuals (HC, AUC 0.992, sensitivity 0.975, specificity 1.000) in an independent validation cohort, outperforming existing clinical prediction strategies. Furthermore, the P4 panel can accurately predict LC to HCC conversion (AUC 0.890, sensitivity 0.909, specificity 0.877) with predicting HCC at a median of 11.4 months prior to imaging in prospective external validation cohorts (No.: Keshen 2018_005_02 and NCT03588442). These results suggest that proteomics-driven serum biomarker discovery provides a valuable reference for the liquid biopsy, and has great potential to improve early diagnosis of HCC.

Chemical Biopsy for GNMT as Noninvasive and Tumorigenesis-Relevant Diagnosis of Liver Cancer

Early diagnosis of hepatocellular carcinoma (HCC) is difficult; the lack of convenient biomarker-based diagnostic modalities renders high-risk HCC patients burdened by life-long periodical examinations. Here, a new chemical biopsy approach was developed for noninvasive diagnosis of HCC using urine samples. Bioinformatic screening for tumor suppressors yielded glycine N-methyltransferase (GNMT) as a biomarker with clinical relevance to HCC tumorigenesis. A liquid chromatography-mass spectrometry (LC-MS)-based chemical biopsy detecting nonradioactive ¹³C-sarcosine from ¹³C-glycine was designed to noninvasively assess liver GNMT activity extrahepatically. ¹³C-Sarcosine showed a strong correlation with GNMT in normal and cancerous liver cells. In an autochthonous animal model developing visible cancer nodules at 17 weeks, the urinary ¹³C-sarcosine chemical biopsy exhibited notable changes as early as 8 weeks, showing significant correlations with liver GNMT and molecular pathological changes. Our chemical biopsy approach should facilitate early and noninvasive diagnosis of HCC, with direct relevance to tumorigenesis, which can be straightforwardly applied to other diseases.

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.

Detection and monitoring of HBV-related hepatocellular carcinoma from plasma cfDNA fragmentation profiles

Most hepatocellular carcinomas (HCCs) are associated with hepatitis B virus infection (HBV) in China. Early detection of HCC can significantly improve prognosis but is not yet fully clinically feasible. This study aims to develop methods for detecting HCC and studying the carcinogenesis of HBV using plasma cell-free DNA (cfDNA) whole-genome sequencing (WGS) data. Low coverage WGS was performed for 452 participants, including healthy individuals, hepatitis B patients, cirrhosis patients, and HCC patients. Then the sequencing data were processed using various machine learning models based on cfDNA fragmentation profiles for cancer detection. Our best model achieved a sensitivity of 87.10% and a specificity of 88.37%, and it showed an increased sensitivity with higher BCLC stages of HCC. Overall, this study proves the potential of a non-invasive assay based on cfDNA fragmentation profiles for the detection and prognosis of HCC and provides preliminary data on the carcinogenic mechanism of HBV.

Ultrasensitive and affordable assay for early detection of primary liver cancer using plasma cell-free DNA fragmentomics

BACKGROUND AND AIMS

Early detection of primary liver cancer (PLC), including HCC, intrahepatic cholangiocarcinoma (ICC), and combined HCC-ICC (cHCC-ICC), is essential for patients' survival. This study aims to develop an accurate and affordable method for PLC early detection and differentiating ICC from HCC using plasma cell-free DNA (cfDNA) fragmentomic profiles.

APPROACH AND RESULTS

Whole-genome sequencings (WGS) were performed using plasma cfDNA samples from 192 patients with PLC (159 HCC, 26 ICC, 7 cHCC-ICC) and 170 noncancer controls (including 53 liver cirrhosis [LC] or HBV-positive) enrolled in the training cohort. An ensembled stacked model for PLC detection was constructed using the training cohort. The model performance was assessed in an independent test cohort (189 patients with PLC [157 HCC, 26 ICC, 6 cHCC-ICC], 164 noncancer controls [including 51 LC/HBV]). Our model showed excellent performance for cancer detection in the test cohort (AUC: 0.995, 96.8% sensitivity at 98.8% specificity). It showed excellent sensitivities in detecting early-stage PLC (I: 95.9%, II: 97.9%), small tumors (≤3 cm: 98.2%), and HCC (96.2%) or ICC (100%). The AUC for distinguishing PLC from LC/HBV reached 0.985 (96.8% specificity at 96.1% specificity). Promisingly, our model maintained consistent performances during the downsampling process, even using 1X coverage data (AUC: 0.994, 93.7% sensitivity at 98.8% specificity). A separate model showed potential for distinguishing ICC from HCC (AUC: 0.776).

CONCLUSIONS

Our model, outperforming previous reports at a lower cost by solely using low-coverage WGS data, exhibits excellent clinical potential for ultrasensitive and affordable detection of PLC and its subtypes.

Letter to the Editor: An ultra-sensitive assay using cell-free DNA fragmentomics for multi-cancer early detection

Early detection can benefit cancer patients with more effective treatments and better prognosis, but existing early screening tests are limited, especially for multi-cancer detection. This study investigated the most prevalent and lethal cancer types, including primary liver cancer (PLC), colorectal adenocarcinoma (CRC), and lung adenocarcinoma (LUAD). Leveraging the emerging cell-free DNA (cfDNA) fragmentomics, we developed a robust machine learning model for multi-cancer early detection. 1,214 participants, including 381 PLC, 298 CRC, 292 LUAD patients, and 243 healthy volunteers, were enrolled. The majority of patients (N = 971) were at early stages (stage 0, N = 34; stage I, N = 799). The participants were randomly divided into a training cohort and a test cohort in a 1:1 ratio while maintaining the ratio for the major histology subtypes. An ensemble stacked machine learning approach was developed using multiple plasma cfDNA fragmentomic features. The model was trained solely in the training cohort and then evaluated in the test cohort. Our model showed an Area Under the Curve (AUC) of 0.983 for differentiating cancer patients from healthy individuals. At 95.0% specificity, the sensitivity of detecting all cancer reached 95.5%, while 100%, 94.6%, and 90.4% for PLC, CRC, and LUAD, individually. The cancer origin model demonstrated an overall 93.1% accuracy for predicting cancer origin in the test cohort (97.4%, 94.3%, and 85.6% for PLC, CRC, and LUAD, respectively). Our model sensitivity is consistently high for early-stage and small-size tumors. Furthermore, its detection and origin classification power remained superior when reducing sequencing depth to 1× (cancer detection: ≥ 91.5% sensitivity at 95.0% specificity; cancer origin: ≥ 91.6% accuracy). In conclusion, we have incorporated plasma cfDNA fragmentomics into the ensemble stacked model and established an ultrasensitive assay for multi-cancer early detection, shedding light on developing cancer early screening in clinical practice.

Assessment of Plasma Vitronectin as Diagnostic and Prognostic Marker of Hepatocellular Carcinoma in Patients with Hepatitis C Virus Cirrhosis

Background: hepatitis C is an inflammatory liver disease caused by the hepatitis C infection (HCV), and without treatment, almost 50% will progress to liver cirrhosis. Hepatocellular carcinoma (HCC) is the most frequent type of primary liver cancer and the fourth leading cause of cancer-related mortality. Aim of the study: the objective of this study was to evaluate the serum level of vitronectin (VTN) compared to AFP and determine their role as diagnostic and prognostic markers of HCV-related liver diseases. Subject and Methods: this study involved 52 HCV patients from which 26 patients were cirrhotic, and 26 patients had HCC (on top of hepatitis C virus-related cirrhosis) plus 10 healthy people as a control group. It was carried out in Gastroenterology and Hepatology Unit, Internal Medicine Department, Zagazig University Hospitals, Egypt. All individuals in this study were subjected to physical examination, full history taking, liver function tests, assessment of serum levels of Vitronectin (VTN) and alpha-fetoprotein (AFP) before and after the intervention within three months. Results: serum level of vitronectin increased significantly in cirrhosis patients and HCC patients than controls (p = 0.0041), (p < 0.001), respectively, and in HCC than cirrhosis patients (p < 0.001). Significant positive correlations were observed between levels of serum VTN and AFP in all HCV patients as well as cirrhotic patients (p < 0.001, p = 0.011, respectively). On the contrary, VTN and AFP didn’t show a significant correlation in HCC patients’ group. Moreover, the median serum level of VTN decreased significantly after treatment in patients with HCC (p < 0.001). At cut-off 38.5 ng/mL for AFP it shows sensitivity 80.8%, specificity 76.9% to differentiate HCC from cirrhosis cases. While VTN shows 84.6% sensitivity, 96.2% specificity at cut-off 26.5 μg/mL. Regarding clinicopathological characteristics and VTN levels, half of patients were stage B, 63.9% had tumor size >3 cm, 84.6% had more than one focal lesion. Conclusions: these results may allow one to speculate a potential role of Vitronectin in diagnosis and prognosis of HCC on top of cirrhosis related to HCV infection in addition to AFP and US and CT.

Circulating microRNA 9-3p and serum endocan as potential biomarkers for hepatitis C virus-related hepatocellular carcinoma

BACKGROUND

The high mortality rate of hepatocellular carcinoma (HCC) in Egypt is due mainly to the increasing prevalence of hepatitis C virus infection (HCV) and late diagnosis of the carcinoma. MicroRNAs (miRNA), which regulate tumor proliferation and metastasis in HCC, may serve as a useful diagnostic approach for the early detection of HCC, thus decreasing its mortality. Meanwhile, endocan is a protein with angiogenic and inflammatory properties that are associated with tumor progression and poor outcomes.

AIM

To analyze the levels of miRNA 9-3p and endocan in HCV-infected HCC patients and correlate them with clinicopathological parameters.

METHODS

We compared levels of endocan and circulating miRNA 9-3p from 35 HCV-related HCC patients to 33 patients with HCV-induced chronic liver disease and 32 age and gender matched healthy controls recruited from inpatient and outpatient clinics of the National Liver Institute, Menoufia University, Egypt in the period from January to March 2021 in a case-control study. Serum samples from all groups were analyzed for HCV. Endocan was measured by enzyme-linked immunosorbent assays, and the expression levels of circulating miRNA 9-3p were measured by real-time quantitative reverse transcriptase PCR.

RESULTS

The levels of circulating miRNA 9-3p were significantly lower in the HCC group compared to the chronic liver disease (P < 0.001) and control (P < 0.001) groups, while levels in the chronic liver disease were significantly lower than those in the control group (P < 0.001). The levels of serum endocan were significantly higher in the HCC group compared to the chronic liver disease (P < 0.001) and control (P < 0.001) groups. Moreover miRNA 9-3p and endocan performed better than α-fetoprotein in discriminating HCC patients from cirrhosis and healthy patients. The levels of miRNA 9-3p were significantly inversely correlated to vascular invasion (P = 0.002), stage of advancement of Barcelona Clinical Liver Cancer (P < 0.001) and the metastatic site (P < 0.001) of the HCC group.

CONCLUSION

Circulating miRNA 9-3p and endocan can be used as novel biomarkers for the early diagnosis of HCV-related HCC.

Diagnosis of hepatocellular carcinoma based on a terahertz signal and VMD-CWSE

A novel strategy on combining variational mode decomposition (VMD) and composite weighted-scale sample entropy (CWSE) modified from composite multiscale entropy (CMSE) is proposed to screen hepatocellular carcinoma (HCC) by measuring the terahertz (THz) pulse signals of ten normal and ten HCC serums. Eight measured HCC specimens are negative in serum biomarker alpha fetoprotein (AFP) determination. In CWSE, the time series with weighted-scales are generated from the weighted average processing in the coarse-grained time series corresponding to each scale of the CMSE algorithm. VMD served as a preprocessing method was introduced into decomposing THz signal to obtain the mode functions of specific bandwidth for identification. Final results reveal that more obtainable entropy values of CWSE for recognition in comparison to those of CMSE on the basis of the rule of statistically significant difference and effect size and also manifest the stronger discriminability than the traditional THz parameters. This study provides a new potential auxiliary tool for diagnosis HCC and develops the methodology on the discrimination for similar THz signals.

Gut microbiota alterations are distinct for primary colorectal cancer and hepatocellular carcinoma

Colorectal cancer (CRC) and hepatocellular carcinoma (HCC) are the second and third most common causes of death by cancer, respectively. The etiologies of the two cancers are either infectious insult or due to chronic use of alcohol, smoking, diet, obesity and diabetes. Pathological changes in the composition of the gut microbiota that lead to intestinal inflammation are a common factor for both HCC and CRC. However, the gut microbiota of the cancer patient evolves with disease pathogenesis in unique ways that are affected by etiologies and environmental factors. In this review, we examine the changes that occur in the composition of the gut microbiota across the stages of the HCC and CRC. Based on the idea that the gut microbiota are an additional "lifeline" and contribute to the tumor microenvironment, we can observe from previously published literature how the microbiota can cause a shift in the balance from normal → inflammation → diminished inflammation from early to later disease stages. This pattern leads to the hypothesis that tumor survival depends on a less pro-inflammatory tumor microenvironment. The differences observed in the gut microbiota composition between different disease etiologies as well as between HCC and CRC suggest that the tumor microenvironment is unique for each case.

Overexpression and clinical relevance of the RNA helicase DHX15 in hepatocellular carcinoma

DHX15 is an outstanding member of the DEAH-box RNA helicase family. A few studies suggest that DHX15 contributes to carcinogenesis in several tumor cell lines. However, whether DHX15 acts as an oncogene or tumor suppressor and its association with hepatocellular carcinoma (HCC) prognosis are still poorly understood. To address this question, we used immunohistochemistry to evaluate DHX15 expression patterns and their association with clinicopathological factors and the prognosis of patients with HCC. Our results showed that DHX15 expression was significantly higher in cancerous tissues than that in nontumor tissues (P < .0001). DHX15 expression in HCC patients was associated with differentiation status (P = .018), tumor number (P = .048), intrahepatic or extrahepatic metastasis (P = .001), serum α-fetoprotein (P = .006), hepatitis B virus level (P = .018), and recurrence (P < .001). In addition, the survival analysis revealed that the DHX15-high group had significantly decreased overall survival time (P = .004) and lower 1-year survival rates (P = .002) compared with the DHX15-low group. Furthermore, multivariate analysis identified DHX15 expression as an independent factor associated with poor prognosis in HCC (P = .036). In summary, these findings demonstrate, for the first time, that DHX15 is significantly upregulated in HCC and its high expression was correlated with poor prognosis, suggesting its pivotal role in the progression of HCC. The present results suggest that DHX15 may serve as a potential prognostic biomarker for HCC patients.

Dysregulated serum metabolites in staging of hepatocellular carcinoma

BACKGROUND

Correct staging of hepatocellular carcinoma (HCC) could help physicians to precisely select treatments for patients, such as surgery, chemotherapy, or their combination. The objective of this study was to explore potential metabolic markers for staging of hepatocellular carcinoma.

METHODS

By liquid chromatography with mass spectrometry (LC-MS), the serum metabolic profiles of 60 pathologically confirmed hepatocellular carcinoma (HCC) patients were analyzed using the TNM staging system and Chinese staging system.

RESULTS

The serum levels of dihydrocortisol, lysophosphatidylcholine (LPC-18:0), lysophosphatidylethanolamine (LPE-16:0), taurine, uric acid, adipic acid, tetracosatetraenoic acid, and L-octanoylcarnitine differed significantly between staging I and non-stage I HCCs (p < 0.05) based on the HCC TNM staging system, and compared to stage I sera, non-stage I sera contained higher levels of dihydrocortisol, adipic acid, tetracosatetraenoic acid, and L-octanoylcarnitine. There are significant differences were observed in serum levels of LPC (22:6), alpha-linolenylcarnitine, estrone, LPE (16:0), LPE (18:2), and taurine between stage I and stage II HCCs (p < 0.05) based on the Chinese HCC staging system, and compared to stage I sera, stage II sera had a higher level of LPC (22:6).

CONCLUSION

These dysregulated metabolites in sera of HCC patients potentially could be used as biomarkers for the clinical staging of HCC.

Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation

Hepatocellular carcinoma (HCC) is the third most common cause of death from cancer, with increasing prevalence worldwide. The mortality rate of HCC is similar to its incidence rate, which reflects its poor prognosis. At present, the diagnosis of HCC is still mostly dependent on invasive biopsy, imaging methods, and serum α-fetoprotein (AFP) testing. Because of the asymptomatic nature of early HCC, biopsy and imaging methods usually detect HCC at the middle–late stages. AFP has limited sensitivity and specificity, as many other nonmalignant liver diseases can also result in a very high serum level of AFP. Therefore, better biomarkers with higher sensitivity and specificity at earlier stages are greatly needed. Since metabolic reprogramming is an essential hallmark of cancer and the liver is the metabolic hub of living systems, it is useful to investigate HCC from a metabolic perspective. As a noninvasive and nondestructive approach, metabolomics provides holistic information on dynamically metabolic responses of living systems to both endogenous and exogenous factors. Therefore, it would be conducive to apply metabolomics in investigating HCC. In this review, we summarize recent metabolomic studies on HCC cellular, animal, and clinicopathologic models with attention to metabolomics as a biomarker in cancer diagnosis. Recent applications of metabolomics with respect to therapeutic and prognostic evaluation of HCC are also covered, with emphasis on the potential of treatment by drugs from natural products. In the last section, the current challenges and trends of future development of metabolomics on HCC are discussed. Overall, metabolomics provides us with novel insight into the diagnosis, prognosis, and therapeutic evaluation of HCC.

Herb-Drug Interaction between the Traditional Hepatoprotective Formulation and Sorafenib on Hepatotoxicity, Histopathology and Pharmacokinetics in Rats

Sorafenib has been used as a standard therapy for advanced hepatocellular carcinoma (HCC). In Asia, patients with HCC are potentially treated with the combination of sorafenib and Chinese herbal medicines to improve the efficiency and reduce the side effects of sorafenib. However, limited information about the herb-drug interactions is available. We hypothesize that the Chinese herbal medicine may exert hepatoprotective effects on the sorafenib-treated group. The aim of this study is to investigate the pharmacokinetic mechanism of drug-drug interactions of sorafenib including interacting with hepatoprotective formulation, Long-Dan-Xie-Gan-Tang formulation (LDXGT) and with two cytochrome P450 3A4 (CYP3A4) inhibitors, grapefruit juice and ketoconazole. Liver enzyme levels and histopathology of liver slices were used to evaluate sorafenib-induced hepatotoxicity and the potential hepatoprotective effects of the LDXGT formulation on subjects treated with the combination of sorafenib and the herbal medicine. In this study, a validated HPLC-photodiode array analytical system was developed for the pharmacokinetic study of sorafenib in rats. As the result of the pharmacokinetic data, pretreatment with the LDXGT formulation did not significantly interact with sorafenib compared with sorafenib oral administration alone. Furthermore, grapefruit juice and ketoconazole did not significantly affect sorafenib metabolism. Furthermore, pretreatment with variable, single or repeat doses of the LDXGT formulation did not suppress or exacerbate the sorafenib-induced hepatotoxicity and histopathological alterations. According to these results, the LDXGT formulation is safe, but has no beneficial effects on sorafenib-induced hepatotoxicity. A detailed clinical trial should be performed to further evaluate the efficacy or adverse effects of the LDXGT formulation in combination with sorafenib in humans.

Assessment of high-sensitivity C-reactive protein tests for the diagnosis of hepatocellular carcinoma in patients with hepatitis B-associated liver cirrhosis

Hepatocellular carcinoma (HCC) is a common malignant tumor worldwide, with high morbidity and mortality. Chronic infection with hepatitis B virus (HBV) is a major risk factor for the development of hepatocellular carcinoma and the majority (~80%) of hepatocellular carcinoma patients in China exhibit co-morbidity with HBV-associated liver cirrhosis. The goal of reliable early diagnostic and prognostic techniques for HBV-associated HCC remains unrealized. The aim of the present study was to explore the efficacy of serum high-sensitivity C-reactive protein (hs-CRP) tests in the early diagnosis of HCC in patients with HBV-associated liver cirrhosis. A cohort of 493 patients with HBV-associated liver disease was divided into three groups: Chronic HBV (CHB) group; liver cirrhosis without HCC (LC) group; and liver cirrhosis with HCC (HCC) group. A further 47 healthy individuals comprised the healthy control (CN) group. Comparative analyses of clinical symptoms, histopathology, ultrasound imagery, computed tomography, magnetic resonance imaging, biochemistry [α-fetoprotein (AFP) and liver function enzymes], and hs-CRP tests were conducted across these four groups. Immunohistochemical analysis showed that CRP is strongly expressed in HCC tumor tissue, but is not expressed elsewhere. Analyses of the correlations between serum hs-CRP levels and HCC clinical parameters indicated that there was no correlation between serum hs-CRP levels, tumor Edmondson grade, tumor-node-metastasis stage and AFP status. Serum hs-CRP and AFP levels were found to be significantly elevated in the HCC group compared to those in the LC, CHB and CN groups (P<0.01). Receiver operator characteristic analysis showed that measurement of serum hs-CRP could differentiate HCC from HBV-associated liver cirrhosis, as well as increase the accuracy of HCC diagnoses. Additionally, measurement of hs-CRP and AFP together improved diagnostic accuracy for HCC compared with either test alone. Serum hs-CRP could have potential as an effective diagnostic tool to complement AFP in diagnosing HCC and improving the identification of AFP-negative HCC in patients with HBV-associated liver cirrhosis. The present findings may facilitate the earlier diagnosis of hepatocellular carcinoma, permitting more effective treatment and a broader spectrum of treatment modalities for patients with advanced hepatic disease.

Differential expression of plasma microRNA-125b in hepatitis B virus-related liver diseases and diagnostic potential for hepatitis B virus-induced hepatocellular carcinoma

AIM

Acting as a tumor suppressor, microRNA (miR)-125b shows aberrant low expression in hepatocellular carcinoma (HCC), and researchers have found that its dysregulation has a close relationship with hepatitis B virus (HBV) infection. Here, we investigated the expression profile of this miRNA in the plasma of healthy subjects and patients with chronic HBV-related liver diseases in order to confirm the feasibility of this circulating miRNA as a differential diagnostic biomarker for HBV-induced HCC (HBV-HCC).

METHODS

A total of 242 individuals were enrolled in this study. The expression levels of plasma miR-125b were examined using quantitative real-time polymerase chain reaction technology.

RESULTS

The levels of plasma miR-125b were remarkably decreased in HBV-HCC patients compared to healthy controls and HBV subjects without HCC (all P < 0.001), and the low plasma miR-125b levels in HBV-HCC patients were associated with higher prevalence of metastasis (P = 0.021). The receiver-operating characteristic curve analyses indicated that plasma miR-125b presented a high accuracy (area under the curve = 0.891, 0.958, 0.958) for diagnosing HBV-HCC cases from healthy controls and patients with chronic hepatitis B and HBV-related liver cirrhosis, respectively. In addition, our study found that the expression levels of plasma miR-125b in HBV patients without HCC were higher than those in healthy subjects (P < 0.001); it yielded an area under the curve of 0.691 in discriminating patients with chronic HBV infection who were negative for HCC from healthy controls.

CONCLUSION

The measurement of plasma-based miR-125b holds promise as a diagnostic marker for HBV-HCC differential diagnosis and for chronic HBV viral infection. Those HBV-infected individuals with increased risk of HCC would be detected early through monitoring the changes in this circulating miRNA.

Prescription frequency and patterns of Chinese herbal medicine for liver cancer patients in Taiwan: a cross-sectional analysis of the National Health Insurance Research Database

BACKGROUND

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. Chinese herbal medicine (CHM) is frequently provided to HCC patients. The aim of this study was to understand the prescription frequency and patterns of CHM for HCC patients by analyzing the claims data from the National Health Insurance (NHI) in Taiwan.

METHODS

We identified 73918 newly diagnosed HCC subjects from the database of Registry for Catastrophic Illness during 2002 to 2009 and to analyze the frequency and pattern of corresponding CHM prescriptions for HCC patients.

RESULTS

There were a total of 685,079 single Chinese herbal prescriptions and 553,952 Chinese herbal formula prescriptions used for 17,373 HCC subjects before 2 years of HCC diagnosis. Among the 13,093 HCC subjects who used CHMs after HCC diagnosis, there were 462,786 single Chinese herbal prescriptions and 300,153 Chinese herbal formula prescriptions were counted. By adjusting with person-year and ratio of standardized incidence rate, the top ten prescribed single herbal drugs and Chinese herbal formulas for HCC patients were described in our study. Among them, we concluded that, Oldenlandia diffusa (Chinese herbal name: Bai-Hua-She-She-Cao), Radix et Rhizoma Rhei (Da Huang) and the herbal preparation of Xiao-Chai-Hu-Tang and Gan-Lu-Yin, were the most obviously increased and important CHMs been used for HCC patients.

CONCLUSION

We established an accurate and validated method for the actual frequency and patterns of CHM use in treating HCC in Taiwan. We propose that these breakthrough findings may have important implications for HCC therapy, clinical trials and modernization of CHM.

Metabolic profiling of hepatitis B virus-related hepatocellular carcinoma with diverse differentiation grades

The most effective diagnostic tool for the majority of hepatocellular carcinoma (HCC) patients is determining the differentiation grade of their tumors. However liver biopsies, which are currently the most effective way of determining tumor differentiation grade, have several limitations. The present study was designed to select serum characteristic metabolites that correlate with the differentiation grades of hepatitis B virus (HBV)-related HCC, and so could be used in the clinic as a non-invasive method of differentiating patients with different grades of HCC. A total of 58 patients with HBV-related HCC were included in the present study, and divided into three groups according to their tumor differentiation grade. A further 20 patients with HBV-related liver cirrhosis and 19 healthy volunteers were enrolled. Ultra-performance liquid chromatography-mass spectrometry was used to analyze endogenous metabolites. Multivariate statistical analysis was used to examine the data using MZmine 2.0 software. The 14 metabolites that were highly correlated with specific differentiation grades of HCC were then selected for additional study. Receiver operator characteristic curve analysis was used to evaluate their clinical value. In total, 5 metabolites were finally identified, including lysophosphatidylcholine (16:0), oleamide, monoglyceride (0:0/15:0/0:0), lysophosphatidylcholine (18:0) and lysophosphatidylcholine [22:5(7Z,10Z,13Z,16Z,19Z)]. All these metabolites exhibited an excellent ability to distinguish different types of HCC with various differentiation grades and the area under the curve of these metabolites was up to 0.942, showing promising clinical value.

Comparison of hepatic MDCT, MRI, and DSA to explant pathology for the detection and treatment planning of hepatocellular carcinoma

Background/Aims

The diagnosis and treatment plan for hepatocellular carcinoma (HCC) can be made from radiologic imaging. However, lesion detection may vary depending on the imaging modality. This study aims to evaluate the sensitivities of hepatic multidetector computed tomography (MDCT), magnetic resonance imaging (MRI), and digital subtraction angiography (DSA) in the detection of HCC and the consequent management impact on potential liver transplant patients.

Methods

One hundred and sixteen HCC lesions were analyzed in 41 patients who received an orthotopic liver transplant (OLT). All of the patients underwent pretransplantation hepatic DSA, MDCT, and/or MRI. The imaging results were independently reviewed retrospectively in a blinded fashion by two interventional and two abdominal radiologists. The liver explant pathology was used as the gold standard for assessing each imaging modality.

Results

The sensitivity for overall HCC detection was higher for cross-sectional imaging using MRI (51.5%, 95% confidence interval [CI]=36.2-58.4%) and MDCT (49.8%, 95% CI=43.7-55.9%) than for DSA (41.7%, 95% CI=36.2-47.3%) (P=0.05). The difference in false-positive rate was not statistically significant between MRI (22%), MDCT (29%), and DSA (29%) (P=0.67). The sensitivity was significantly higher for detecting right lobe lesions than left lobe lesions for all modalities (MRI: 56.1% vs. 43.1%, MDCT: 55.0% vs. 42.0%, and DSA: 46.9% vs. 33.9%; all P<0.01). The sensitivities of the three imaging modalities were also higher for lesions ≥2 cm vs. <2 cm (MRI: 73.4% vs. 32.7%, MDCT: 66.9% vs. 33.8%, and DSA: 62.2% vs. 24.1%; all P<0.01). The interobserver correlation was rated as very good to excellent.

Conclusion

The sensitivity for detecting HCC is higher for MRI and MDCT than for DSA, and so cross-sectional imaging modalities should be used to evaluate OLT candidacy.

GAB2 promotes cell proliferation by activating the ERK signaling pathway in hepatocellular carcinoma

Grb2-associated binding protein 2 (GAB2), a key member of the family of Gab scaffolding adaptors, is important in the phospoinositide3-kinase (PI3K) and extracellular signal-regulated kinase (ERK) signaling pathways, and is closely associated with cell proliferation, cell transformation, and tumor progression. But its role in hepatocellular carcinoma (HCC) is still unknown. In this study, we investigated the expression of GAB2 and its potential clinical and biological significances in HCC. Western bolt and immunohistochemistrical analyses revealed that GAB2 was obviously upregulated in HCC tissues. Meanwhile, GAB2 was significantly associated with histological grade, tumor size, and the proliferation marker Ki-67 through our further analysis. The Kaplan-Meier survival curves also showed that increased GAB2 expression was directly correlated with poor prognosis in HCC patients and served as an independent prognostic marker of overall survival. Moreover, serum starvation-refeeding, RNA interference, CCK-8, EDU, colony formation, and flow-cytometry analyses were all performed with the purpose of investigating GAB2's regulation of HCC cell proliferation. Our results indicated that GAB2 progressively accumulated when cells entered into S phase. Consistently, cell proliferation was distinctly hindered by small interfering RNA. More interestingly, we discovered that GAB2 promoted cell proliferation by enhancing ERK signaling and GAB2-induced cell proliferation was inhibited by the inhibition of ERK activation. Finally, GAB2 was verified to be able to confer doxorubicin resistance in HCC cells. In summary, these data demonstrated that GAB2 might promote HCC cell proliferation by enhancing ERK signaling, and all above findings provided a potential therapeutic strategy for the treatment of HCC.

Metabonomic window into hepatitis B virus-related hepatic diseases

Metabonomics has recently been widely used to discover the pathogenesis and find potential metabolic markers with high sensitivity and specificity. Furthermore, it develops new diagnosis and treatment methods, increases early phase diagnosis rates of certain diseases and provides a new basis for targeted therapy. This review mainly analyzes the research progress of the metabonomics of hepatitis B virus (HBV)-related hepatic diseases, hoping to discover some potential metabolic markers for identification of HBV-related hepatic diseases from other etiologies and for HBV-related hepatitis, liver cirrhosis and hepatocellular carcinoma. This can contribute to early discovery, diagnosis and treatment, eventually increasing the survival rate of HBV-related hepatic diseases.

The promise of metabolic phenotyping in gastroenterology and hepatology

Disease risk and treatment response are determined, at the individual level, by a complex history of genetic and environmental interactions, including those with our endogenous microbiomes. Personalized health care requires a deep understanding of patient biology that can now be measured using a range of '-omics' technologies. Patient stratification involves the identification of genetic and/or phenotypic disease subclasses that require different therapeutic strategies. Stratified medicine approaches to disease diagnosis, prognosis and therapeutic response monitoring herald a new dimension in patient care. Here, we explore the potential value of metabolic profiling as applied to unmet clinical needs in gastroenterology and hepatology. We describe potential applications in a number of diseases, with emphasis on large-scale population studies as well as metabolic profiling on the individual level, using spectrometric and imaging technologies that will leverage the discovery of mechanistic information and deliver novel health care solutions to improve clinical pathway management.

Economic evaluation and budget impact analysis of the surveillance program for hepatocellular carcinoma in Thai chronic hepatitis B patients

BACKGROUND

The incidence rate and the treatment costs of hepatocellular carcinoma (HCC) are high, especially in Thailand. Previous studies indicated that early detection by a surveillance program could help by down-staging. This study aimed to compare the costs and health outcomes associated with the introduction of a HCC surveillance program with no program and to estimate the budget impact if the HCC surveillance program were implemented.

MATERIALS AND METHODS

A cost utility analysis using a decision tree and Markov models was used to compare costs and outcomes during the lifetime period based on a societal perspective between alternative HCC surveillance strategies with no program. Costs included direct medical, direct non-medical, and indirect costs. Health outcomes were measured as life years (LYs), and quality adjusted life years (QALYs). The results were presented in terms of the incremental cost-effectiveness ratio (ICER) in Thai THB per QALY gained. One- way and probabilistic sensitivity analyses were applied to investigate parameter uncertainties. Budget impact analysis (BIA) was performed based on the governmental perspective.

RESULTS

Semi-annual ultrasonography (US) and semi-annual ultrasonography plus alpha-fetoprotein (US plus AFP) as the first screening for HCC surveillance would be cost-effective options at the willingness to pay (WTP) threshold of 160,000 THB per QALY gained compared with no surveillance program (ICER=118,796 and ICER=123,451 THB/QALY), respectively. The semi-annual US plus AFP yielded more net monetary benefit, but caused a substantially higher budget (237 to 502 million THB) than semi-annual US (81 to 201 million THB) during the next ten fiscal years.

CONCLUSIONS

Our results suggested that a semi-annual US program should be used as the first screening for HCC surveillance and included in the benefit package of Thai health insurance schemes for both chronic hepatitis B males and females aged between 40-50 years. In addition, policy makers considered the program could be feasible, but additional evidence is needed to support the whole prevention system before the implementation of a strategic plan.

Reasons why West Africa continues to be a hotbed for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) exhibits a huge disease burden on West Africa, with a large proportion of all HCC cases worldwide occurring in the sub-region. The high HCC prevalence is due to the endemicity of a number of risk factors, most notably hepatitis B, C and HIV. West African HCC also displays a poor prognosis. Generally speaking, this is owing to more aggressive tumours, late patient presentation and inadequate management. Exposure to chronic viral hepatitis, more carcinogenic West African strains of hepatitis B virus and carcinogens such as aflatoxin B1 all encourage tumour growth. Lack of patient confidence in the healthcare system contributes to poor health-seeking behaviors and management of the disease can be lacking, due in part to poor health infrastructure, resources available and lack of access to expensive treatment. There is also much we do not know about West African HCC, especially the effect rising obesity and alcohol use may have on this disease in the future. Suggestions for improvement are discussed, including surveillance of high-risk groups. Although there is much to be done before West African HCC is thought to be a curable disease, many steps have been taken to move in the right direction.

Significance of Serum Cytokeratin-18 in Prediction of Hepatocellular Carcinoma in Chronic Hepatitis C Infected Egyptian Patients

BACKGROUND

Hepatitis C virus is one of the most common etiologic agents of chronic liver diseases, including liver cirrhosis and hepatocellular carcinoma in which there is continuous inflammation and regeneration of hepatocytes. Cytokeratin-18 (CK18) has been suggested to play an important role in tumorigenesis of epithelial cancers.

AIM

Estimation of CK18 serum levels in patients with chronic viral hepatitis C (CHCV) and hepatocellular carcinoma (HCC) and find the relationship between their levels, the severity of the disease and the development of HCC.

METHODS

We measured serum levels of CK18 in 60 Egyptian patients (30 with CHCV & 30 with HCC) and 30 healthy controls.

RESULTS

Patients with HCC had highly significant increased CK18 levels compared with CHCV patients, healthy controls. Cytokeratin-18 among the three classes of Child-Pugh classification show highly significant gradual increase from child A to C. Furthermore, In HCC there were positive correlations between CK18 and with RBCs, ESR, and AFP.

CONCLUSION

CK18 is a sensitive indicator of the severity of liver disease. Patients with CHCV infection can be followed up by measurement of its serum level which can predict the development of HCC. The combination of AFP and CK18 increased the sensitivity of detection for HCC.

Association of the gene polymorphisms in sodium taurocholate cotransporting polypeptide with the outcomes of hepatitis B infection in Chinese Han population

OBJECTIVE

In recent years, sodium taurocholate cotransporting polypeptide (NTCP) was newly identified as a hepatitis B virus (HBV) receptor, which partly shed light on the reason for HBV hepatotropism and its host specificity. However, the related researches were limited to in vitro or animal experiments. Therefore, this study aimed to investigate the association of NTCP polymorphisms with HBV natural course in humans.

METHODS

According to their serological and clinical characteristics, 933 Chinese Han individuals were divided into two major groups, 352 viral clearance controls and 581 persistently infected patients. The latter one included 186 hepatocellular carcinoma (HCC) and 395 non-HCC subjects. A total of five single nucleotide polymorphisms (SNPs) were selected from HapMap dataset and genotyped by high resolution melting (HRM) curve method.

RESULTS

The rs7154439 AA genotype was observed slightly more common in viral clearance group than in persistently infected group [16 (4.5%) subjects vs. 10 (1.7%) subjects. p=0.008, adjusted odds ratio (AOR)=0.33, 95% confidence interval (CI)=0.15-0.75 in a codominant model; and p=0.006, AOR=0.32, 95% CI=0.14-0.72 in a recessive model]. While the rs4646287 AA genotype was observed slightly more frequent in HCC group than in non-HCC group [6 (3.2%) subjects vs. 1 (0.3%) subject. p=0.018, AOR=15.74, 95% CI=1.59-155.54 in a codominant model; and p=0.018, AOR=15.91, 95% CI=1.61-157.01 in a recessive model]. There were no statistically significant differences of allele or haplotype distribution between any two groups.

CONCLUSIONS

This study suggests that polymorphisms in the NTCP region may be associated with the natural course of HBV infection. The rs7154439 AA genotype was associated with HBV clearance, while the rs4646287 AA genotype was associated with HCC occurrence. However, considering the sample size is relatively small, larger studies, especially through multicenter collaboration will be needed to fully validate the significance of these findings.

Expression profiling of serum microRNA-101 in HBV-associated chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma

MicroRNAs (miRNAs) represent a class of evolutionarily conserved, non-coding small RNAs (18-25 nt) that have emerged as master regulators of several biological processes. Recently, circulating miRNAs have also been reported to be promising biomarkers for various pathological conditions. In the present study, we report the comparative expression profiling of microRNA-101 (miR-101) in serum and tissue samples from chronic hepatitis B (CHB), HBV-associated liver cirrhosis (HBV-LC), and HBV-associated hepatocellular carcinoma (HBV-HCC) patients and healthy controls. The serum miR-101 levels were found to be significantly downregulated in the HBV-HCC patients compared with the HBV-LC patients (P<0.001), CHB patients (P<0.001) and healthy controls but were upregulated in the HBV-LC patients compared with the CHB patients (P<0.001) and healthy controls (P<0.001). Consistent with the serum data, the expression of miR-101 was also upregulated and downregulated in the HBV-LC and HBV-HCC tissue samples, respectively. A receiver operating characteristic (ROC) analysis of serum miR-101 yielded an area under the ROC curve (AUC) of 0.976 with 95.5% sensitivity and 90.2% specificity when differentiating between HBV-HCC and HBV-LC. Our results suggest that the serum miR-101 level can serve as a potential non-invasive biomarker to differentiate HBV-HCC from HBV-LC.

Serum endocan as a novel prognostic biomarker in patients with hepatocellular carcinoma

Endocan is a vascular endothelium-derived factor regulated by angiogenic factors. The aim of this study was to determine whether serum endocan levels are prognostic for survival in patients with hepatocellular carcinoma (HCC). Serum endocan levels were measured in 64 HCC patients who were naïve to treatment, eight apparently healthy subjects, and 68 patients with liver cirrhosis; the latter two groups served as controls. Prognostic factors for the survival of HCC patients were examined using a Cox proportional hazards model. The median serum endocan levels were 1.145 ng/mL (range, 0.93-1.68 ng/mL) in healthy subjects, 1.93 ng/mL (range, 0.45-8.47 ng/mL) in liver cirrhosis patients, and 3.73 ng/mL (range, 0.74-10.95 ng/mL) in HCC patients (P = 0.0001). In HCC patients, elevated serum endocan levels were significantly associated with poor hepatic function (P = 0.015), a greater number of tumors (P = 0.034), and vascular invasion (P = 0.043). The median follow-up period was 23.0 months, and 33 HCC patients died during follow up. Multivariate analysis showed that serum endocan levels ≥ 2.20 ng/mL (hazard ratio 2.36, 95% confidence interval 1.22-5.36, P = 0.008) as well as elevated serum α-fetoprotein and des-γ-carboxy prothrombin levels were independent prognostic biomarkers for poor survival. The combination of serum endocan and these two additional markers was significantly predictive of worse survival (P < 0.0001). Thus, serum endocan may be a prognostic biomarker for survival in HCC patients, and the combination of serum endocan, α-fetoprotein, and des-γ-carboxy prothrombin levels can result in better prognostic stratification of these patients.

HCC-ART score, a simple, highly sensitive and specific test for early diagnosis of hepatocellular carcinoma: a large-scale, multicentre study

Background:

A simple scoring system is needed to discriminate HCC from patients with chronic liver diseases (CLD). The simplest score would be one that requires only variables that can be documented simply from routine laboratory tests without the need for sophisticated tests.

Methods:

Data from the estimation group (1351 patients) and the validation group (2208 patients) were retrospectively analysed. Liver fibrosis-negative control and liver cirrhosis were compared with HCC. Area under ROC curve (AUC) were used to develop HCC-α-fetoprotein-routine test (HCC-ART).

Results:

Hepatocellular carcinoma-AFP-routine test showed diagnostic accuracy for liver cirrhosis vs HCC with ROC curves of 0.99%, sensitivity of 97%, and specificity of 96% in the estimation, and 0.95%, 90%, and 83%, respectively, in the validation. Sensitivity (97%) and specificity (100%) were obtained to discriminate HCC from liver fibrosis. Area under curve for AFP at 400 U l⁻¹ was 0.70, sensitivity was 41%, and specificity was 99% in the estimation, and 0.77%, 54%, and 99%, respectively, in the validation. The AUC for HCC-ART in HCC with single tumour, absent vascular invasion, size <2 cm and CLIP score (0–1) were 0.95, 0.93, 0.86, 0.87, respectively, compared with 0.72, 0.71, 0.71, 0.50, respectively, for AFP.

Conclusion:

Hepatocellular carcinoma-AFP-routine test could increase the accuracy of HCC screening and surveillances and could be used worldwide without extra efforts.

Determination of polyamine metabolome in plasma and urine by ultrahigh performance liquid chromatography-tandem mass spectrometry method: application to identify potential markers for human hepatic cancer

To evaluate the potential relationship between cancer and polyamine metabolome, a UHPLC-MS/MS method has been developed and validated for simultaneous determination of polyamine precursors, polyamines, polyamine catabolite in human plasma and urine. Polyamine precursors including L-ornithine, lysine, L-arginine and S-adenosyl-L-methionine; polyamines including 1,3-diaminopropane, putrescine, cadaverine, spermidine, spermine, agmatine, N-acetylputrescine, N-acetylspermine and N-acetylspermidine; polyamine catabolite including γ-aminobutyric acid had been determined. The analytes were extracted from plasma and urine samples by protein precipitation procedure, and then separated on a Shim-pack XR-ODS column with 0.05% heptafluorobutyric acid (HFBA) in methanol and 0.05% HFBA in water. The detection was performed on UHPLC-MS/MS system with turbo ion spray source in the positive ion and multiple reaction-monitoring mode. The limits of quantitation for all analytes were within 0.125-31.25 ng mL(-1) in plasma and urine. The absolute recoveries of analytes from plasma and urine were all more than 50%. By means of the method developed, the plasma and urine samples from hepatic cancer patients and healthy age-matched volunteers had been successfully determined. Results showed that putrescine and spermidine in hepatic cancerous plasma were significant higher than those in healthy ones, while spermidine, spermine and N-acetylspermidine in hepatic cancerous urine were significant higher than those in healthy ones. The methods demonstrated the changes of polyamine metabolome occurring in plasma and urine from human subjects with hepatic cancer. It could be a powerful manner to indicate and treat hepatic cancer in its earliest indicative stages.

Human liver tissue metabolic profiling research on hepatitis B virus-related hepatocellular carcinoma

AIM: To select characteristic endogenous metabolites in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients and to identify their molecular mechanism and potential clinical value.

METHODS: An ultra performance liquid chromatography and linear trap quadrupole-Orbitrap XL-mass spectrometry platform was used to analyze endogenous metabolites in the homogenate of central tumor tissue, adjacent tissue and distant tissue obtained from 10 HBV-related HCC patients. After pretreatment with Mzmine software, including peak detection, alignment and normalization, the acquired data were treated with Simca-P+software to establish multivariate statistical analysis based on a pattern recognition technique and characteristic metabolites highly correlated with changing trends in metabolic profiling were selected and further identified.

RESULTS: Based on data acquired using Mzmine software, a principal component analysis model (R2X = 66.9%, Q2 = 21.7%) with 6 principal components and an orthogonal partial least squares discriminant analysis model (R2X = 76.5%, R2Y = 93.7%, Q2 = 68.7%) with 2 predicted principal components and 5 orthogonal principal components were established in the three tissue groups. Forty-nine ions were selected, 33 ions passed the 2 related samples nonparametric test (P < 0.05) and 14 of these were further identified as characteristic metabolites that showed significant differences in levels between the central tumor tissue group and distant tumor tissue group, including 9 metabolites (L-phenylalanine, glycerophosphocholine, lysophosphatidylcholines, lysophosphatidylethanolamines and chenodeoxycholic acid glycine conjugate) which had been reported as serum metabolite biomarkers for HCC diagnosis in previous research, and 5 metabolites (beta-sitosterol, quinaldic acid, arachidyl carnitine, tetradecanal, and oleamide) which had not been reported before.

CONCLUSION: Characteristic metabolites and metabolic pathways highly related to HCC pathogenesis and progression are identified through metabolic profiling analysis of HCC tissue homogenates.

Human liver carboxylesterase 1 outperforms alpha-fetoprotein as biomarker to discriminate hepatocellular carcinoma from other liver diseases in Korean patients

Although alpha-fetoprotein (AFP) is currently the major serologic biomarker for hepatocellular carcinoma (HCC), it cannot efficiently distinguish this cancer from other forms of liver disease in early diagnosis due to its low sensitivity. The aim of this study is to compare sensitivity and specificity of human carboxylesterase 1 (hCE1) and AFP biomarker. Antibody-based assays for hCE1 and AFP were used to test both biomarkers with respect to diagnostic efficiency, Youden's index and the area under the curve (AUC) through receiver operating characteristic (ROC) analysis in plasma from 208 patients with HCC (n=57), liver cirrhosis (n=27), chronic hepatitis (n=37), cholangiocarcinoma (n=22), gastric cancer (n=31) and pancreatic cancer (n=34), along with 52 healthy donors (HDs). The levels of hCE1 were significantly higher in patients with HCC than HDs and the other diseases (p<0.005), further verified by AUC values and Youden's index. In the set of HCC versus liver cirrhosis the AUC values were 0.744 (AFP), 0.918 (hCE1) and 0.938 (combination of AFP and hCE1), respectively. These results indicate that hCE1 is not only a more potent and specific marker in distinguishing cancer from liver diseases, in particular cirrhosis, but the combination of hCE1 and AFP shows also synergistic potential for greater sensitivity and specificity in early diagnosis. Therefore the antibody-based hCE1 assay appears to have high diagnostic efficiency for discriminating HCC from other forms of liver disease. It is now feasible to further validate this novel plasma-based biomarker in the large cohort we assembled.

Survival of patients with primary liver cancer in central and northern Denmark, 1998-2009

Objective

Primary liver cancer (PLC) is a serious disease with high mortality. During the last decade, improvements in the diagnostic procedures and treatment of PLC may have improved survival. However, few updated longitudinal studies examined this issue. In a population-based setting, we studied changes in the prognoses over time.

Methods

Between 1998 and 2009, we identified all patients with PLC in the central and northern Denmark regions, with a combined population of 1.8 million. We determined age- and period-stratified survival, and computed mortality rate ratios (MRRs) with 95% confidence intervals (CIs), using Cox proportional hazard regression to assess changes over time, while controlling for age and gender. We conducted the analyses for PLC overall and separately for hepatocellular carcinoma (HCC) and cholangiocarcinoma, respectively.

Results

We included 1064 patients with PLC. Their median age was 69 years (range 17–94 years). The number of patients diagnosed with PLC in the period 2007–2009 was approximately 40% higher than the number in 1998–2000. One-year survival increased from 16% in 1998–2000 to 28% in 2007–2009, corresponding to an adjusted 1-year MRR of 0.65 (95% CI: 0.54–0.79). In patients aged <60 years, we found the most pronounced increase in 1-year survival, from 14% to 49% in women and from 19% to 41% in men. The 3- and 5-year survival in the entire cohort increased from 5% to a predicted 11% and from 2% to a predicted 7% during our study period, respectively. Accordingly, the expected 3- and 5-year adjusted MRRs were 0.68 (95% CI: 0.57–0.82) and 0.68 (95% CI: 0.57–0.81), respectively. One-, 3-, and 5-year survival improved during the study period for both HCC and cholangiocarcinoma.

Conclusion

PLC survival remains poor in the Danish population, although we observed an increase over the period 1998–2009, particularly in young people.