Diagnostic value of gamma-glutamyl transpeptidase to alkaline phosphatase ratio combined with gamma-glutamyl transpeptidase to aspartate aminotransferase ratio and alanine aminotransferase to aspartate aminotransferase ratio in alpha-fetoprotein-negative hepatocellular carcinoma

Sleep and liver function biomarkers in relation to risk of incident liver cancer: a nationwide prospective cohort study

BACKGROUND

To assess the largely undetermined separate and joint effects of sleep and liver function biomarkers on liver cancer.

METHODS

Data of 356,894 participants without cancer at baseline in the UK Biobank were analyzed. Sleep score was evaluated using five sleep traits (sleep duration, chronotype, insomnia, snoring, and excessive daytime sleepiness) and dichotomized into healthy or unhealthy sleep. Circulating liver function biomarkers were measured. Cox proportional hazard model was performed to investigate the independent and joint associations of sleep and liver function biomarkers with liver cancer incidence.

RESULTS

After a median follow-up time of 13.1 years, 394 cases of incident liver cancer were documented. The multivariable-adjusted hazard ratio (HR) for liver cancer was 1.46 (95% confidence interval: 1.15-1.85) associated with unhealthy sleep (vs. healthy sleep), and was 1.17 (1.15-1.20), 1.20 (1.18-1.22), 1.69 (1.47-1.93), 1.06 (1.06-1.07), 1.08 (1.07-1.09), 1.81 (1.37-2.39), or 0.29 (0.18-0.46) associated with each 10-unit increase in alanine transaminase (ALT), aspartate transaminase (AST), total bilirubin (TBIL), gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), total protein (TP), or albumin (ALB), respectively. Individuals with unhealthy sleep and high (≥ median) ALT, AST, TBIL, GGT, ALP, or TP or low (< median) ALB level had the highest HR of 3.65 (2.43-5.48), 4.03 (2.69-6.03), 1.97 (1.40-2.77), 4.69 (2.98-7.37), 2.51 (1.75-3.59), 2.09 (1.51-2.89), or 2.22 (1.55-3.17) for liver cancer, respectively. Significant additive interaction of unhealthy sleep with high TP level on liver cancer was observed with relative excess risk due to an interaction of 0.80 (0.19-1.41).

CONCLUSIONS

Unhealthy sleep was associated with an increased risk of liver cancer, especially in participants with lower ALB levels or higher levels of ALT, AST, TBIL, GGT, ALP, or particularly TP.

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

Purpose

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

Patients and Methods

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

Results

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

Conclusion

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

The Index sAGP is Valuable for Distinguishing Atypical Hepatocellular Carcinoma from Atypical Benign Focal Hepatic Lesions

Purpose

The differential diagnosis of atypical hepatocellular carcinoma (aHCC) and atypical benign focal hepatic lesions (aBFHL) usually depends on pathology. This study aimed to develop non-invasive approaches based on conventional blood indicators for the differential diagnosis of aHCC and aBFHL.

Patients and Methods

Hospitalized patients with pathologically confirmed focal hepatic lesions and their clinical data were retrospectively collected, in which patients with HCC with serum alpha-fetoprotein (AFP) levels of ≤200 ng/mL and atypical imaging features were designated as the aHCC group (n = 224), and patients with benign focal hepatic lesions without typical imaging features were designated as the aBFHL group (n = 178). The performance of indexes (both previously reported and newly constructed) derived from conventional blood indicators by four mathematical operations in distinguishing aHCC and aBFHL was evaluated using the receiver operating characteristic (ROC) curve and diagnostic validity metrics.

Results

Among ten previously reported derived indexes related to HCC, the index GPR, the ratio of γ-glutamyltransferase (GGT) to platelet (PLT), showed the best performance in distinguishing aHCC from aBFHL with the area under ROC curve (AUROC) of 0.853 (95% CI 0.814-0.892), but the other indexes were of little value (AUROCs from 0.531 to 0.700). A new derived index, sAGP [(standardized AFP + standardized GGT)/standardized PLT], was developed and exhibited AUROCs of 0.905, 0.894, 0.891, 0.925, and 0.862 in differentiating overall, BCLC stage 0/A, TNM stage I, small, and AFP-negative aHCC from aBFHL, respectively.

Conclusion

The sAGP index is an efficient, simple, and practical metric for the non-invasive differentiation of aHCC from aBFHL.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Evaluation of fibrosis with noninvasive biochemical tests in chronic viral hepatitis B

Background and Aim

Early diagnosis and treatment of chronic hepatitis B (CHB) disease are important for the prevention of complications such as cirrhosis and hepatocellular cancer. Liver biopsy is an invasive, complicated, and expensive diagnostic method, which is the gold standard for detecting fibrosis. The aim of this study was to investigate the role of these tests in predicting liver fibrosis and treatment decision.

Materials and Methods

A total of 1051 patients diagnosed with CHB between 2010 and 2020 in the Gaziantep University Gastroenterology Department were retrospectively evaluated. AAR, API, APRI, FIB-4, KING score, and FIBROQ score were calculated at the time of onset diagnosis. In addition, the Zeugma score, a new formula that is thought to be more sensitive and specific, was determined. Noninvasive fibrosis scores were compared according to the biopsy results of the patients.

Results

In this study, the area values under the curve were 0.648 for the API score, 0.711 for the APRI score, 0.716 for the FIB-4 score, 0.723 for the KING score, 0.595 for the FIBROQ score, and 0.701 for the Zeugma score (p<0.05). No statistically significant difference was obtained for the AAR score. The KING, FIB-4, APRI, and Zeugma scores were the best indicators for detecting advanced fibrosis. For KING, FIB-4, APRI, and Zeugma scores, the cutoff value for the prediction of advanced fibrosis were ≥8.67, ≥0.94, ≥16.24, and ≥9.63 with a sensitivity of 50.52%, 56.77%, 59.64%, and 52.34%, specificity of 87.26%, 74.96%, 73.61%, and 78.11%, respectively (p<0.05). In our study, we compared the globulin and GGT parameters with fibrosis, which we used in the Zeugma score formula. Globulin and GGT mean values were significantly higher in the fibrosis group (p<0.05). There was a statistically significant correlation between fibrosis and globulin and GGT values (p<0.05, r=0.230 and p<0.05, r=0.305, respectively).

Conclusion

The KING score was found to be the most reliable method for the noninvasive detection of hepatic fibrosis in patients with chronic HBV. The FIB-4, APRI, and Zeugma scores were also shown to be effective in determining liver fibrosis. It was shown that the AAR score was not sufficient for detecting hepatic fibrosis. The Zeugma score, a novel noninvasive test, is a useful and easy tool to evaluate liver fibrosis in patients with chronic HBV and has better accuracy than AAR, API, and FIBROQ.

New indexes derived from routine blood tests and their clinical application in hepatocellular carcinoma

Considerable efforts have been made in the diagnosis and treatment of hepatocellular carcinoma (HCC), but the prognosis of patients with HCC remains poor. The development of officious and easy-to-use indicators that are applicable to all levels of hospitals for the diagnosis, prognosis and risk prediction of HCC may play an important role in improving the current undesirable situation. The occurrence of HCC can cause a series of local and systemic changes, involving liver function, inflammation, immunity, and nutrition, which can be reflected in routine clinical indicators, especially laboratory metrics. A comprehensive analysis of these routine indicators is capable of providing important information for the clinical management of HCC. Routine clinical indicators are daily medical data that are readily available, easily repeatable, and highly acceptable, which has attracted clinicians to derive a number of comprehensive indexes from routine clinical indicators by means of four arithmetic operations, scoring system, and mathematical modeling. These indexes integrate several clinical indicators into a new single indicator that performs better than any of original individual indicators in the risk prediction, clinical diagnosis and prognostic evaluation of HCC and is easy to use. Herein, we reviewed recent indexes derived from routine clinical indicators for the diagnosis, prognosis and risk prediction of HCC.

The combination of serum oligosaccharide chain (G-test), alpha-fetoprotein, and aspartate aminotransferase to alanine aminotransferase ratio provides the optimal diagnostic value for early detection of hepatocellular carcinoma

Background

The purpose of this study was to compare the diagnostic value of serum oligosaccharide chain (G-test), alpha-fetoprotein (AFP) and aspartic aminotransferase to alanine aminotransferase ratios (AAR), both alone and in combination, for predicting hepatocellular carcinoma (HCC) onset.

Methods

Between Januarys 2020–2022, 152 subjects admitted to the First Affiliated Hospital of Nanchang University was enrolled in this study, of which 77 had HCC, 18 chronic hepatitis (CH), 37 liver cirrhosis (LC) and 20 were healthy. Data for patient characteristics were collected, and differences between groups were analyzed by either Mann-Whitney U or χ2 tests. Receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic value of AFP, G-test, and AAR for HCC.

Results

G-test, AFP, and AAR were all found to have close correlations with HCC among the different patient groups, with G-test being the most predictive for HCC among healthy and CL patients, as represented by respective areas under the curve (AUC) of 0.953 and 0.792 (P < 0.001). By contrast, AAR had the greatest diagnostic ability for HCC among CH patients (AUC = 0.850; P < 0.001). However, the combination of all 3 biomarkers obtained the most optimal results for predicting HCC onset, in terms of predictive capability for all 3 non-HCC patient groups, yielding AUCs of 0.958, 0.898, and 0.808 (P < 0.001) for, respectively, healthy, CH, and LC patients. Additionally, AFP had higher specificity, but lower sensitivity, with increased threshold values, as the recommended threshold of AFP ≥ 400 ng/mL yielded a missed diagnosis rate of 72.7%. For AFP-negative HCC (AFP-NHCC) patients, G-test alone had the greatest diagnostic capability (AUC = 0.855; P < 0.001), sensitivity (83.8%), and specificity (87.5%).

Conclusion

G-test has the greatest diagnostic capability for HCC and AFP-NHCC, with high sensitivity and specificity, among healthy and LC patients. However, AAR had the highest diagnostic capability and sensitivity for HCC in CH. Overall, though, the combination of G-test, AFP and AAR provided the most optimal outcomes for predicting HCC onset, no matter the patient pre-conditions.

Linoleic acid pathway disturbance contributing to potential cancerization of intrahepatic bile duct stones into intrahepatic cholangiocarcinoma

Background

Intrahepatic cholangiocarcinoma (ICC) is the second most common primary hepatic malignancy with poor prognosis. Intrahepatic bile duct stone (IBDS) is one of the key causes to ICC occurrence and can increase morbidity rate of ICC about forty times. However, the specific carcinogenesis of IBDS is still far from clarified. Insight into the metabolic phenotype difference between IBDS and ICC can provide potential mechanisms and therapeutic targets, which is expected to inhibit the carcinogenesis of IBDS and improve the prognosis of ICC.

Methods

A total of 34 participants including 25 ICC patients and 9 IBDS patients were recruited. Baseline information inclusive of liver function indicators, tumor biomarkers, surgery condition and constitution parameters etc. from patients were recorded. ICC and IBDS pathological tissues, as well as ICC para-carcinoma tissues, were collected for GC–MS based metabolomics experiments. Multivariate analysis was performed to find differentially expressed metabolites and differentially enriched metabolic pathways. Spearman correlation analysis was then used to construct correlation network between key metabolite and baseline information of patients.

Results

The IBDS tissue and para-carcinoma tissue have blurred metabolic phenotypic differences, but both of them essentially distinguished from carcinoma tissue of ICC. Metabolic differences between IBDS and ICC were enriched in linoleic acid metabolism pathway, and the level of 9,12-octadecadienoic acid in IBDS tissues was almost two times higher than in ICC pathological tissues. The correlation between 9,12-octadecadienoic acid level and baseline information of patients demonstrated that 9,12-octadecadienoic acid level in pathological tissue was negative correlation with gamma-glutamyl transpeptidase (GGT) and alkaline phosphatase (ALP) level in peripheral blood. These two indicators were all cancerization marker for hepatic carcinoma and disease characteristic of IBDS.

Conclusion

Long-term monitoring of metabolites from linoleic acid metabolism pathway and protein indicators of liver function in IBDS patients has important guiding significance for the monitoring of IBDS carcinogenesis. Meanwhile, further insight into the causal relationship between linoleic acid pathway disturbance and changes in liver function can provide important therapeutic targets for both IBDS and ICC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12876-022-02354-2.

Expression Status and Prognostic Significance of Gamma-Glutamyl Transpeptidase Family Genes in Hepatocellular Carcinoma

PURPOSE

Gamma-glutamyl transpeptidase (GGT) family genes play crucial roles in the formation and progression of several solid tumors. However, the expression patterns and the prognostic significance of GGT members in hepatocellular carcinoma (HCC) remain unknown. This study was designed to determine the expression profiles of GGT family members in HCC and validate the prognostic value of serum GGT protein in patients with HCC.

METHOD

We comprehensively searched public resources based on the LIHC dataset to determine the expression patterns, prognostic significance, DNA methylation status, immune infiltration, and biological pathways of GGT family genes in HCC. Subsequently, we validated the prognostic value of serum GGT protein in 85 patients with early-stage HCC subjected to curative hepatectomy from the Renmin Hospital of Wuhan University.

RESULTS

Except for GGT1, other GGT family members (GGT5, GGT6, and GGT7) were found to be differentially expressed in primary HCC samples (N = 371) and normal control tissues (N = 50). Furthermore, a positive relationship was not only observed between GGT1 and GGT5 (Spearman coefficient: 0.24, P = 5.143 × 10-6) but also between GGT5 and GGT6 (Spearman coefficient: 0.38, P = 1.24 × 10-13). The expression of GGT1, GGT5, and GGT7 was correlated with overall survival (OS), and GGT7 was associated with disease-free survival (DFS) in patients with HCC. Negative associations between DNA methylation and expression of mRNA were observed for GGT1 (Spearman coefficient: -0.38, P = 6.24e-14), GGT6 (Spearman coefficient: -0.29, P = 1.23e-8), and GGT7 (Spearman coefficient: -0.34, P=6.7e-11). GGT family genes were well correlated with the infiltration levels of immune cells in HCC, especially CD4+ T cells, macrophages, and dendritic cells. Finally, when validated with clinical data from the Renmin cohort, a high expression of serum GGT protein was identified as a strong prognostic element of unfavorable OS (HR = 3.114, P = 0.025), but not of DFS (HR = 1.198, P = 0.05) in patients with HCC subjected to curative hepatectomy.

CONCLUSION

To our knowledge, this is the first comprehensive analysis of the expression patterns and clinical value of GGT family genes in patients with HCC. Our study laid the foundation for the clinical application of the GGT protein in the survival assessment of patients with HCC.

Diagnostic value of gamma-glutamyl transpeptidase to alkaline phosphatase ratio combined with gamma-glutamyl transpeptidase to aspartate aminotransferase ratio and alanine aminotransferase to aspartate aminotransferase ratio in alpha-fetoprotein-negative hepatocellular carcinoma

BACKGROUND

The purpose of the study was to evaluate the diagnostic value of gamma-glutamyl transpeptidase to alkaline phosphatase ratio (GAPR) combined with gamma-glutamyl transpeptidase to aspartate aminotransferase ratio (GAR) and alanine aminotransferase to aspartate aminotransferase ratio (AAR) in alpha-fetoprotein (AFP)-negative hepatocellular carcinoma (HCC).

METHODS

A total of 925 AFP-negative patients, including 235 HCC patients, 213 chronic hepatitis (CH) patients, and 218 liver cirrhosis (LC) patients, as well as 259 healthy controls were enrolled in this study. The differences of laboratory parameters and clinical characteristics were analyzed by Mann-Whitney U or Kruskal-Wallis H-test. Receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic value of GAPR, GAR, and AAR in AFP-negative HCC (AFP-NHCC) patients.

RESULTS

GAPR, GAR, and AAR were important parameters closely related to AFP-NHCC. The combination of GAPR, GAR, and AAR was most effective in differentiating AFP-NHCC group from control group (AUC = 0.875), AFP-negative CH group (AUC = 0.733), and AFP-negative LC group (AUC = 0.713). GAPR combined with GAR and AAR exhibited a larger AUC than single ratio or pairwise combination for distinguishing AFP-NHCC group with TNMⅠstage, BCLC stage A, and tumor size less than 3 cm. The diagnostic value of GAPR combined with GAR and AAR was higher in AFP-NHCC and was also reflected in the TNM stage, Barcelona Clinic Liver Cancer (BCLC) stage and tumor size.

CONCLUSIONS

GAPR combined with GAR and AAR were effective diagnostic markers of AFP-NHCC, especially in patients with good liver function, early stage or small size.