Ascites and alpha-fetoprotein improve prognostic performance of Barcelona Clinic Liver Cancer staging

Saikosaponin-b2 Inhibits Primary Liver Cancer by Regulating the STK4/IRAK1/NF-κB Pathway

The development of primary liver cancer (PLC) is associated with chronic liver inflammation and the loss of associated tumor suppressor genes, which characterizes inflammation-related tumors. In this study, we aimed to explore the effect of saikosaponin-b2 (SS-b2) on the development of PLC and its effect of the STK4 expression and IRAK1/NF-κB signaling axis. In vitro and in vivo experiments showed that SS-b2 exerted potent anti-inflammatory and antitumor effects. A PLC model was induced in vivo by treating male BALB/c mice with diethylnitrosamine, while an inflammatory model was induced in vitro by exposing RAW 264.7 macrophages to lipopolysaccharides (LPS). After treating cancer mice with SS-b2, the serum levels of alpha-fetoprotein, aspartate aminotransferase, alanine aminotransferase, and lactate dehydrogenase significantly reduced. Ki67 expression also decreased. The carcinomatous lesions of the liver were attenuated. Similar results were observed in liver tissue and RAW 264.7 macrophages, where SS-b2 significantly elevated serine/threonine protein kinase 4 (STK4) expression and decreased the expression of interleukin-1 receptor-associated kinase 1 (IRAK1), nuclear factor-kappaB (NF-κB), and downstream inflammatory cytokines, thus exerting anti-cancer and anti-inflammatory effects. Moreover, we employed siRNA to silence the STK4 expression in HepG2 to investigate the anti-tumor effect of SS-b2 in vitro. The STK4 knockdown would upregulate IRAK1 and thus the activation of NF-κB activity revealed by the increase in the levels of proinflammatory cytokines, consequently impairing SS-b2-induced inhibition of liver cancer development. Consequently, SS-b2 effectively inhibited PLC by upregulating STK4 to suppress the IRAK1/NF-κB signaling axis and is a promising agent for treating this disease.

Establishment and validation of a predictive model of recurrence in primary hepatocellular carcinoma after resection

Background

In recent years, nomogram prediction models have been widely used to evaluate the prognosis of various diseases. However, studies in primary hepatocellular carcinoma (HCC) are limited. This study sought to explore the risk factors of recurrence of patients with primary HCC after surgical resection and establish a nomogram prediction model.

Methods

The data of 424 patients with primary HCC who had been admitted to the Wuhan Third Hospital were retrospectively collected. The patients were followed-up for 5 years after surgery. The patients were divided into the recurrence group (n=189) and control group (n=235) according to whether the cancer recurred after surgery. The differences in the clinical characteristics between the two groups were analyzed. The risk factors of recurrence after surgical resection of primary HCC were also analyzed, and a prediction model was then established using R4.0.3 statistical software.

Results

There were significant statistical differences between the two groups in terms of the tumor size, systemic immune-inflammation (SII) index, the number of lesions, tumor differentiation degree, ascites, vascular invasion, and portal vein tumor thrombus (P<0.05). The multivariate regression analysis showed that multiple foci, poorly differentiated tumors, ascites, vascular invasion, and portal vein tumor thrombus were risk factors for the recurrence of primary HCC in patients after surgical resection (P<0.05). The data set was randomly divided into a training set and verification set. The sample size of the training set was 297, and the sample size of the verification set was 127. The area under the receiver operating characteristic (ROC) curve of the training set was 0.866 [95% confidence interval (CI): 0.824-0.907], and the area under the ROC curve of the validation set was 0.812 (95% CI: 0.734-0.890). The Hosmer-Lemeshow Goodness-of-Fit Test was used to test the model with the validation set (χ2=11.243, P=0.188), which indicated that the model had high value in predicting the recurrence of primary HCC after surgical resection.

Conclusions

This model had high value in predicting the recurrence of primary HCC in patients after surgical resection. This model could assist clinicians to assess the prognosis of patients. Intensive treatment for high-risk patients might improve the prognosis of patients.

GENES EXPRESSION AND SERUM BIOMARKERS FOR DIAGNOSIS OF HEPATOCELLULAR CARCINOMA, CIRRHOSIS AND HEPATITIS C

BACKGROUND

Hepatocellular carcinoma (HCC) is the most common type of liver cancer. Risk factors for HCC include hepatitis C (HCV) and B (HBV) virus infection, alcoholic cirrhosis and genetic alterations that can affect several cellular pathways.

OBJECTIVE

This study purposed to analyze the gene and serum protein expression of vascular endothelial growth factor (VEGF), angiogenesis, alpha fetoprotein, cystatin B (CSTB), β-catenin and glypican-3 (GPC3) in groups with HCC, cirrhosis or HCV and controls, and their relation with clinical staging in the HCC and cirrhosis groups, as well its sensitivity and specificity values.

METHODS

A total of 230 individuals were distributed in Group 1 (G1) - 80 patients with HCC; Group 2 (G2) - 76 patients with cirrhosis due to any etiology; Group 3 (G3) - 33 patients with HCV; Group 4 (G4 - controls) - 41 individuals without clinical or biochemical signs of any liver disease. Gene expression was analyzed by qRT-PCR and serum proteins were performed using the ELISA method.

RESULTS

Increased VEGF and angiogenesis, alpha fetoprotein expression could be observed in BCLC stage-D patients compared to stage-B patients, and stage-C patients showed higher expression of β-catenin, compared to stage-B patients (P<0.05). For VEGF and GPC3, discriminatory power was observed between HCC patients and controls (AUC =0.71; 0.82, respectively). CSTB showed discriminatory power in the comparison between patients with HCV and controls (AUC =0.74).

CONCLUSION

The present study confirms the sensitivity of serum CSTB in the diagnosis of hepatitis C, and gene expression of VEGF and serum GPC3, confer both sensitivity and specificity for the diagnosis of HCC.

A comparison of clinical pathologic characteristics between alpha-fetoprotein negative and positive hepatocellular carcinoma patients from Eastern and Southern China

Background

Alpha-fetoprotein (AFP) is a biomarker used in clinical management of hepatocellular carcinoma (HCC), however, approximately 40% of HCC patients do not present with elevated serum AFP levels. This study aimed to investigate the clinical and pathologic characteristics between AFP positive and negative HCC patients to allow for improved clinical management and prognostication of the disease.

Methods

This study observed a cohort of HCC patients from Eastern and Southern China with comparisons of the clinical and pathologic features between serum AFP positive and negative patient groups; patients with decompensated hepatic cirrhosis, those with chronic hepatitis B, and hepatitis B virus (HBV) asymptomatic carrier patients were used as controls. Data included the laboratory results, pathology diagnosis, clinical staging and scores were obtained from routine clinical diagnostic methods.

Results

Patients with HCC, larger tumor sizes, liver cancer with hepatic cirrhosis, portal vein thrombosis, metastasis, high Child–Pugh score, high Barcelona-Clínic Liver Cancer (BCLC) stage, and advanced clinical stage had significantly higher serum AFP levels. Also, patients with HBsAg and HBeAg positive, high HBV DNA levels had significantly higher serum AFP levels. Patients with high serum AFP levels had higher protein induced by vitamin K absence or antagonist-II (PIVKA-II), alanine aminotransferase (ALT), aspartate aminotransferase (AST), alpha-l-fucosidase (AFU), gamma-glutamyl transpeptidase (γ-GT), γ-GT /ALT, direct bilirubin (DBIL), indirect bilirubin (IDBIL), fibrinogen, and D-dimer levels. Patients with AFP positive had higher white blood cells (WBC), neutrophil, monocyte, and platelet count and neutrophil to lymphocyte ratio (NLR).

Conclusions

The are significant differences in clinical pathologic characteristics between AFP positive and negative HCC patients which may be helpful for the management and prognostication of the disease.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12876-022-02279-w.

Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients

Objective:

Over 1 million new cases of hepatocellular carcinoma (HCC) are diagnosed worldwide every year. Its prognosis remains poor, and the 5-year survival rate in all disease stages is estimated to be between 10% and 20%. Radiofrequency ablation (RFA) has become an important local treatment for liver cancer, and machine learning (ML) can provide many shortcuts for liver cancer medical research. Therefore, we explore the role of ML in predicting the total mortality of liver cancer patients undergoing RFA.

Methods:

This study is a secondary analysis of public database data from 578 liver cancer patients. We used Python for ML to establish the prognosis model.

Results:

The results showed that the 5 most important factors were platelet count (PLT), Alpha-fetoprotein (AFP), age, tumor size, and total bilirubin, respectively. Results of the total death model for liver cancer patients in test group: among the 5 algorithm models, the highest accuracy rate was that of gbm (0.681), followed by the Logistic algorithm (0.672); among the 5 algorithms, area under the curve (AUC) values, from high to low, were Logistic (0.738), DecisionTree (0.723), gbm (0.717), GradientBoosting (0.714), and Forest (0.693); Among the 5 algorithms, gbm had the highest precision rate (0.721), followed by the Logistic algorithm (0.714). Among the 5 algorithms, DecisionTree had the highest recall rate (0.642), followed by the GradientBoosting algorithm (0.571).

Conclusion:

Machine learning can predict total death after RFA in liver cancer patients. Therefore, ML research has great potential for both personalized treatment and prognosis of liver cancer.

A Novel Scoring System for Patients with Recurrence of Hepatocellular Carcinoma After Undergoing Minimal Invasive Therapies

Background

The higher recurrence rate of hepatocellular carcinoma (HCC) needs to be urgently controlled. However, definitive markers are lacking for patients with recurrence of HCC after undergoing minimal invasive therapies-local ablation combined with transcatheter arterial chemoembolization (TACE).

Materials and methods

Demographic and clinicopathological data of 234 subjects receiving combined therapies as the initial treatment were retrospectively analyzed. Univariate and multivariate Cox regression analysis was used to assess independent risk factors of recurrence. Selected variables were divided into low-, intermediate-, and high-risk groups of recurrence according to the scores assigned to them based on their respective hazard ratio (HR) values. The area under the curve (AUC) was used to evaluate the predictive value of the scoring system. Cumulative recurrence-free survival (RFS) and overall survival rates were calculated by the Kaplan-Meier estimator. Finally, a correlation analysis was performed on demographic and clinical data among the three groups.

Results

The AUC of predicting 1-, 2-, and 3-year recurrence rates was 0.680, 0.728, and 0.709, respectively. The cumulative RFS rate in the low-risk group at 1, 2, and 3 years after undergoing combined treatments was 4%, 12.2%, and 30.6%, while that in the intermediate-risk group and high-risk group was 23.4%, 51.6%, 60.0%, and 47.3%, 78.2%, 83.6%, respectively. Gamma-glutamyltransferase (γ-GT), blood urea nitrogen (BUN), and total cholesterol (TC) levels among the three groups were statistically different.

Conclusion

The scoring system of the present study for patients with the recurrence of HCC after undergoing TACE combined with local ablation may help physicians make a reasonable clinical decision, providing ideal management for diagnosis and treatment.

Combination of the gamma-glutamyltransferase-to-prealbumin ratio and other indicators may be a novel marker for predicting the prognosis of patients with hepatocellular carcinoma undergoing locoregional ablative therapies

Objective

The aim of this study was to investigate the prognostic significance of the serum γ-glutamyltransferase (γ-GT)-to-prealbumin ratio (GPR) and whether combining this ratio with other parameters can lead to an improved prognostic value for patients with hepatocellular carcinoma (HCC) undergoing transcatheter arterial chemoembolization (TACE) combined with local ablation therapy.

Methods

A total of 235 HCC patients who were treated with combined therapies were retrospectively analyzed. The demographic data and clinicopathological data were collected. A fibrinogen (Fib)-GPR score of 2 was assigned to patients with elevated Fib and GPR values, and a score of 1 or 0 was assigned to patients with one or neither of these two markers, respectively. In addition, an N-score of 2 was assigned to patients with low neutrophil and high GPR values, and a score of 1 or 0 was assigned to patients with one or neither of these two markers, respectively. The optimal cutoff values and prognostic roles of GPR and other markers were identified according to the time-dependent receiver operating characteristic (ROC) curves and Youden’s index.

Results

Multiple tumors, high levels of α-fetoprotein (AFP) and Fib, as well as a high GPR, were found to be independent risk factors in recurrent patients, while multiple tumors, a low neutrophil count, and a high GPR were associated with reduced overall survival (OS) in patients with HCC who received combined therapies. Patients with a Fib-GPR score of 2 and N-GPR score of 2 had poor recurrence-free survival (RFS) and OS, respectively.

Conclusions

Fib-GPR and N-GPR scores may be helpful in predicting both recurrence and the prognosis of HCC patients, thereby assisting in the process to make a true clinical decision and optimize therapeutic options.

Effect of prolyl hydroxylase domain 2 haplodeficiency on liver progenitor cell characteristics in early mouse hepatocarcinogenesis

Activation of the hypoxia-inducible factor (HIF)-pathway in hepatocellular carcinoma (HCC) induces therapy resistant tumours, characterized by increased liver progenitor cell (LPCs) characteristics and poor prognosis. We previously reported corresponding results in mice with HCC in which hypoxia was mimicked by prolyl hydroxylase domain (PHD) inhibition. Here, we aimed at investigating whether induction of LPC characteristics occurs during the onset of hepatocarcinogenesis and if this is associated with activation of Notch signalling. Dietheylnitrosamine (DEN) was used to induce hepatic tumours in PHD2 haplodeficient (PHD2^+/-) mice which were euthanized at 5, 10, 15 and 17 weeks following DEN during neoplastic transformation, before tumour formation. Neoplasia and mRNA expression of LPC and Notch markers were evaluated by histology and qPCR on isolated livers. PHD2 haplodeficiency resulted in enhanced expression of HIF target genes after 17 weeks of DEN compared to wild type (WT) littermates but had no effect on the onset of neoplastic transformation. The mRNA expression of Afp and Epcam was increased at all time points following DEN whereas CK19, Prom1 and Notch3 were increased after 17 weeks of DEN, without difference between PHD2^+/- and WT mice. MDR1 mRNA expression was increased in all DEN treated mice compared to saline control with increased expression in PHD2^+/- compared to WT from 15 weeks. These results indicate that the effects of PHD2 haplodeficiency on the expression of LPC and Notch markers manifest during tumour nodule formation and not early on during neoplastic transformation.

Prognostic value of pretreatment (18)F-FDG PET-CT in radiotherapy for patients with hepatocellular carcinoma

Purpose

The purpose of this study was to investigate the predictable value of pretreatment ¹⁸F-fluorodeoxyglucose positron emission tomography-computed tomography (¹⁸F-FDG PET-CT) in radiotherapy (RT) for patients with hepatocellular carcinoma (HCC) or portal vein tumor thrombosis (PVTT).

Materials and Methods

We conducted a retrospective analysis of 36 stage I-IV HCC patients treated with RT. ¹⁸F-FDG PET-CT was performed before RT. Treatment target was determined HCC or PVTT lesions by treatment aim. They were irradiated at a median prescription dose of 50 Gy. The response was evaluated within 3 months after completion of RT using the Response Evaluation Criteria in Solid Tumors (RECIST). Response rate, overall survival (OS), and the pattern of failure (POF) were analyzed.

Results

The response rate was 61.1%. The statistically significant prognostic factor affecting response in RT field was maximal standardized uptake value (maxSUV) only. The high SUV group (maxSUV ≥ 5.1) showed the better radiologic response than the low SUV group (maxSUV < 5.1). The median OS were 996.0 days in definitive group and 144.0 days in palliative group. Factors affecting OS were the %reduction of alpha-fetoprotein (AFP) level in the definitive group and Child-Pugh class in the palliative group. To predict the POF, maxSUV based on the cutoff value of 5.1 was the only significant factor in distant metastasis group.

Conclusion

The results of this study suggest that the maxSUV of ¹⁸F-FDG PET-CT may be a prognostic factor for treatment outcome and the POF after RT. A %reduction of AFP level and Child-Pugh class could be used to predict OS in HCC.