The prognostic values of 12 cirrhosis-relative noninvasive models in patients with hepatocellular carcinoma

Protein kinases: The key contributors in pathogenesis and treatment of nonalcoholic fatty liver disease-derived hepatocellular carcinoma

Protein kinases (PKs), one of the largest protein families, can be further divided into different groups based on their substrate or structure and function. PKs are important signaling messengers in numerous life activities, including cell metabolism, proliferation, division, differentiation, senescence, death, and disease. Among PK-related diseases, nonalcoholic fatty liver disease (NAFLD) has been recognized as a major contributor to hepatocellular carcinoma (HCC) and liver transplantation. Unfortunately, NAFLD-derived HCC (NAFLD-HCC) has poor prognosis because it is typically accompanied by older age, multiple metabolic syndromes, obstacles in early-stage diagnosis, and limited licensed drugs for treatment. Accumulating evidence suggests that PKs are implicated in the pathogenic process of NAFLD-HCC, via aberrant metabolism, hypoxia, autophagy, hypoxia, gut microbiota dysbiosis, and/or immune cell rearrangement. The present review aims to summarize the latest research advances and emphasize the feasibility and effectiveness of therapeutic strategies that regulate the expression and activities of PKs. This might yield clinically significant effects and lead to the design of novel PK-targeting therapies. Furthermore, we discuss emerging PK-based strategies for the treatment of other malignant diseases similar to NAFLD-HCC.

Development and Validation of a Novel Prognosis Model Based on a Panel of Three Immunogenic Cell Death-Related Genes for Non-Cirrhotic Hepatocellular Carcinoma

Purpose

The accurate prediction of non-cirrhotic hepatocellular carcinoma (NCHCC) risk facilitates improved surveillance strategy and decreases cancer-related mortality. This study aimed to explore the correlation between immunogenic cell death (ICD) and NCHCC prognosis using The Cancer Genome Atlas (TCGA) datasets, and the potential prognostic value of ICD-related genes in NCHCC.

Methods

Clinical and transcriptomic data of patients with NCHCC patients were retrieved from TCGA database. Weighted gene co-expression network analysis was performed to obtain the NCHCC phenotype-related module genes. Consensus clustering analysis was performed to classify the patients into two clusters based on intersection genes among differentially expressed genes (DEGs) between cancer and adjacent tissues, NCHCC phenotype-related genes, and ICD-related genes. NCHCC-derived tissue microarray was used to evaluate the correlation of the expression levels of key genes with NCHCC prognosis using immunohistochemical staining.

Results

Cox regression analyses were performed to construct a prognostic risk score model comprising three genes (TMC7, GRAMD1C, and GNPDA1) based on DEGs between two clusters. The model stratified patients with NCHCC into two risk groups. The overall survival (OS) of the high-risk group was significantly lower than that of the low-risk group. Univariable and multivariable Cox regression analyses revealed that these signature genes are independent predictors of OS. Functional analysis revealed differential immune status between the two risk groups. Next, a nomogram was constructed, which demonstrated the potent distinguishing ability of the developed model based on receiver operating characteristic curves. In vitro functional validation revealed that the migration and invasion abilities of HepG2 and Huh7 cells were upregulated upon GRAMD1C knockdown but downregulated upon TMC7 knockdown.

Conclusion

This study developed a prognostic model comprising three genes, which can aid in predicting the survival of patients with NCHCC and guide the selection of drugs and molecular markers for NCHCC.

Prognostic Values of Inflammation-Based Scores and Fibrosis Markers in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization

Background: Inflammation is a key feature shaping the microenvironment of hepatocellular carcinoma (HCC), and liver fibrosis is associated with the prognosis of patients with HCC. In this study, we investigated whether baseline inflammation-based scores and serum fibrosis markers can help in predicting the prognosis of HCC patients treated with transarterial chemoembolization (TACE). Methods: A total of 605 consecutive patients with HCC treated by TACE were included. The systemic immune-inflammation index (SII), neutrophil−lymphocyte ratio (NLR), platelet−lymphocyte ratio (PLR), FIB-4 index, and aspartate aminotransferase-to-platelet ratio index (APRI) were analyzed regarding their associations with disease progression and survival. Results: All tested inflammation-based scores and fibrosis markers were significantly associated with tumor progression and overall survival in the univariate analyses. In the multivariate analysis, NLR (hazard ratio [HR], 1.06; p = 0.007) and FIB-4 (HR = 1.02, p = 0.008) were independent risk factors for disease progression, along with α-fetoprotein (AFP) levels, maximum tumor size and number, and presence of vascular invasion. Furthermore, NLR (HR, 1.09; p < 0.001) and FIB-4 (HR, 1.02; p = 0.02) were independent prognostic factors for survival. Conclusions: High baseline NLR and FIB-4 levels might help the prediction of disease progression and death in patients with HCC after TACE.

Assessment of Prognostic Value of Aspartate Aminotransferase-to-Platelet Ratio Index in Patients With Hepatocellular Carcinoma: Meta-Analysis of 28 Cohort Studies

Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors globally; it is valuable to predict its prognosis after treatment. Aspartate aminotransferase-to-platelet index (APRI), a non-invasive biomarker consists of two routine test parameters easily available in all the patients. Our study aimed to investigate whether APRI can serve as an independent prognostic marker in the patients with HCC.

Methods: We extensively searched PubMed, Embase, and Web of Science databases on June 20, 2021 to determine all relevant literature. The studies that explored the association between the APRI levels and prognosis of patients with HCC and reported risk estimate data were included. The Newcastle-Ottawa Scale was used to assess the quality of the included studies.

Results: A total of 1,097 articles were initially identified, of which 28 studies involving 11,041 patients met the eligibility criteria for the meta-analysis. The pooled hazard ratios (HRs) for overall survival (OS) and disease-free survival (DFS) were 1.77 (95% CI: 1.53–2.05, P < 0.001) and 1.59 (95% CI: 1.47–1.71, P < 0.001), respectively, suggesting a significant correlation between the increased APRI levels and poor prognosis in the patients with HCC. In the subgroup analyses, statistical significance of the correlation disappeared in the Korean and Japanese population and in the patients undergoing transarterial chemoembolization (TACE). Of note, the current results may be overestimated due to publication bias, but the conclusion remained unchanged when the bias was adjusted.

Conclusion: High APRI levels are associated with poor OS and DFS in the patients with HCC. In most cases, pretreatment APRI can be used as an independent prognostic factor, but it is necessary to incorporate other predictive prognostic systems to ensure accuracy. Further studies are needed to determine the specific beneficiary population and the optimal cutoff value.

Development and evaluation of a novel noninvasive index for predicting significant fibrosis, advanced fibrosis, and cirrhosis in patients with chronic hepatitis B infection

BACKGROUND AND AIMS

Development of noninvasive liver fibrosis indexes has been research of interest due to the limitations of liver biopsy. Therefore, we aimed to develop and evaluate the diagnostic accuracy of a novel noninvasive index for predicting significant fibrosis, advanced fibrosis and cirrhosis in patients with chronic hepatitis B (CHB) infection based on age and routine clinical laboratory tests.

METHODS

A total of 396 treatment naïve liver biopsy performed patients were divided into training (n = 262) and validation cohorts (n = 134). Histological staging was assessed by Ishak fibrosis scoring system.

RESULTS

In training cohort, we developed a novel fibrosis index, GAPI, using γ-glutamyl transpeptidase (GGT), age, platelet, and international normalized ratio (INR) results. The diagnostic accuracies of alanine aminotransferase ratio, age platelet index, aspartate aminotransferase to platelet ratio index, GGT to platelet ratio index, AST to lymphocyte ratio index, fibrosis index based on the four factors, Fibro Q, Goteborg University Cirrhosis Index, King's score, Pohl score, Wang I, fibrosis index, fibrosis cirrhosis index, cirrhosis discriminant score, Lok score, Doha score, Mehdi's model, GqHBsAg, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, RDW to lymphocyte ratio, RDW to platelet ratio, GGT/INR, GGT/albumin, white blood cell/platelet distribution width (PDW), mean platelet volume/PDW and platelet/PDW indexes were compared to GAPI index. For the prediction of significant fibrosis, advanced fibrosis and cirrhosis, the area under the receiver operating characteristic curves (AUROCs) of GAPI index were 0.776, 0.868, and 0.885 in training cohort, and 0.731, 0.883, and 0.919 in validation cohort, respectively. The AUROCs of the GAPI index were higher than those of the evaluated 27 noninvasive indexes to predict significant fibrosis, advanced fibrosis, and cirrhosis.

CONCLUSION

In resource limited settings, GAPI is a promising noninvasive liver fibrosis index for predicting significant fibrosis, advanced fibrosis and cirrhosis, and for decreasing the need for liver biopsy in patients with CHB infection using cutoff points of 2.00 and 3.50.

Prognostic value of non-invasive fibrosis indices post-curative resection in hepatitis-B-associated hepatocellular carcinoma patients

IMPACT STATEMENT

Non-invasive fibrosis indices, according to regular laboratory and clinical data, could be useful in assessing liver fibrosis in chronic hepatitis patients. However, the role of these biomarkers remains unclear in predicting the outcome of HBV-associated HCC in patients. This study was carried out retrospectively and included a relatively large sample size (n = 405) with a heterogeneous population of HBV infected patients and longer duration of prospective follow-up. Our study suggested that APRI and Fibro-α Scores are inversely correlated with overall survival in HBV-associated HCC patients. Meanwhile, GUCI, King Score, and APRI were highly correlated with cirrhosis status. Also, in subgroups of cirrhosis or non-cirrhosis, Fibro-α Scores could differentiate patients with good prognosis from those with poor outcome. This result would aid clinicians in acquiring preventive and therapeutic methods in patients with high risk.

In silico analysis excavates potential biomarkers by constructing miRNA-mRNA networks between non-cirrhotic HCC and cirrhotic HCC

Background

Mounting evidences have demonstrated that HCC patients with or without cirrhosis possess different clinical characteristics, tumor development and prognosis. However, few studies directly investigated the underlying molecular mechanisms between non-cirrhotic HCC and cirrhotic HCC.

Methods

The clinical information and RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) of HCC with or without cirrhosis were obtained by R software. Functional annotation and pathway enrichment analysis were performed by Enrichr. Protein-protein interaction (PPI) network was established through STRING and mapped to Cytoscape to identify hub genes. MicroRNAs were predicted through miRDB database. Furthermore, correlation analysis between selected genes and miRNAs were conducted via starBase database. MiRNAs expression levels between HCC with or without cirrhosis and corresponding normal liver tissues were further validated through GEO datasets. Finally, expression levels of key miRNAs and target genes were validated through qRT-PCR.

Results

Between 132 non-cirrhotic HCC and 79 cirrhotic HCC in TCGA, 768 DEGs were acquired, mainly involved in neuroactive ligand-receptor interaction pathway. According to the result from gene expression analysis in TCGA, CCL19, CCL25, CNR1, PF4 and PPBP were renamed as key genes and selected for further investigation. Survival analysis indicated that upregulated CNR1 correlated with worse OS in cirrhotic HCC. Furthermore, ROC analysis revealed the significant diagnostic values of PF4 and PPBP in cirrhotic HCC, and CCL19, CCL25 in non-cirrhotic HCC. Next, 517 miRNAs were predicted to target the 5 key genes. Correlation analysis confirmed that 16 of 517 miRNAs were negatively regulated the key genes. By detecting the expression levels of these key miRNAs from GEO database, we found 4 miRNAs have high research values. Finally, potential miRNA-mRNA networks were constructed based on the results of qRT-PCR.

Conclusion

In silico analysis, we first constructed the miRNA-mRNA regulatory networks in non-cirrhotic HCC and cirrhotic HCC.

FIB-4 index serves as a noninvasive prognostic biomarker in patients with hepatocellular carcinoma: A meta-analysis

BACKGROUND

Liver fibrosis index FIB-4 has been reported to be linked with hepatocellular carcinoma (HCC) prognosis, but the results were not consistent. This study aimed to synthetically explore the relationship between FIB-4 and clinical outcomes of HCC.

METHODS

A number of online databases were searched for relevant articles published before March 1, 2018. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated to assess the prognostic value of the FIB-4 index in patients with HCC using Stata SE 12.0.

RESULTS

Eight articles (including 10 cohort studies) with 3485 HCC patients were finally included for analysis. The pooled results showed that FIB-4 index was significantly associated with overall survival (OS) for patients with HCC (HR = 1.74, 95% CI: 1.41-2.07, P <.001). And HCC patients with higher FIB-4 score were at significantly greater risk of recurrence 1.53 (95% CI: 1.29-1.78, P <.001). Subgroup analysis based on the treatment, stage and analysis type also confirmed the prognostic values of the FIB-4 score for OS and recurrence-free survival (RFS) in HCC.

CONCLUSIONS

FIB-4 index might be a useful predictive marker in patients with HCC.

Prognostic value of aspartate aminotransferase to platelet ratio index as a noninvasive biomarker in patients with hepatocellular carcinoma: a meta-analysis

Background

The aspartate aminotransferase-to-platelet ratio index (APRI) has been correlated with clinical outcome in patients with hepatocellular carcinoma (HCC), but controversial results were obtained with previous studies. This study was aimed to evaluate the prognostic value of the APRI in patients with HCC.

Materials and methods

A literature survey was conducted by searching PubMed, Web of Science, Cochrane library, Embase, Wanfang, and National Knowledge Infrastructure for publications released prior to March 1, 2018. Pooled hazard ratios (HRs) with 95% CIs were calculated to assess the association between the APRI and HCC prognosis using Stata SE 12.0 software.

Results

Analysis was performed on a total of 15 articles that included 5,051 patients. The pooled results showed that APRI was significantly associated with overall survival for patients with HCC (HR =1.62, 95% CI: 1.23–2.01). Furthermore, HCC patients with higher APRI were at significantly greater risk of short recurrence-free survival (HR =1.83, 95% CI: 1.48–2.18) and poor disease-free survival (HR =1.46, 95% CI: 1.26–1.66).

Conclusions

APRI could serve as a promising and noninvasive marker for predicting HCC prognosis.

Non-invasive assessments for liver fibrosis: The crystal ball we long for

Non-invasive assessment of liver fibrosis has been one of the most rapidly advancing fields in hepatology in the last decade. Progressive liver fibrosis results in cirrhosis, hepatocellular carcinoma (HCC), and various liver-related complications in essentially all chronic liver diseases. Assessment of liver fibrosis allows clinicians to determine the prognosis, need of treatment, disease progression, and response to treatment in patients with chronic liver disease. Liver biopsy has been the gold standard in last few decades and most adopted diagnostic tool in clinical trials. Nonetheless, it is impractical to apply the test in a large number of patients or to do it serially. Hence, various non-invasive assessments have been developed and adopted in some international management guidelines. Liver stiffness measurement (LSM) with transient elastography is one of the most widely validated non-invasive assessments for liver fibrosis. It is an accurate and reproducible method to predict advanced fibrosis in chronic hepatitis B. Using transient elastography, it is possible to perform repeated liver fibrosis assessments on a large number of asymptomatic patients. The key challenge of his tool is the confounding effect of alanine aminotransferase (ALT) level, such that decrease in LSM may only reflect ALT normalization, hence not accurate enough to indicate regression of liver fibrosis. This may be partially handled by combining LSM with a serum-based formula, which is independent of ALT such as the Forns index and enhanced liver fibrosis test. An LSM-based HCC risk score is useful to prioritize patients for HCC surveillance.

King's score as a novel prognostic model for patients with hepatitis B-associated hepatocellular carcinoma

BACKGROUND AND OBJECTIVES

King's score (KS) has been developed to predict the presence of cirrhosis and hepatocellular carcinoma (HCC) in patients with chronic liver diseases. We aimed to investigate the prognostic significance of the KS in hepatitis B-associated HCC.

PATIENTS AND METHODS

We retrospectively analyzed 319 hepatitis B-associated HCC patients. Preoperative data were collected to calculate the KS (age × aspartate aminotransferase × international normalized ratio/platelet count). The primary outcomes were overall survival (OS) and disease-free survival (DFS), which was estimated using the Kaplan-Meier method. Then, we carried out a multivariate Cox analysis to assess the independent significance of the KS. Additional analyses were carried out after patients were stratified on the basis of cirrhosis status and therapy methods to investigate the significance of KS in different subgroups.

RESULTS

During a median follow-up period of 44 months, 199 (62.4%) patients died and 144 (45.1%) experienced recurrence. The cut-off value for the KS was determined to be 33.31 with 56.8% sensitivity and 66.7% specificity. Compared with patients with low KS, the high group showed a higher probability of cirrhosis and worse Child-Pugh class (both P<0.05). Multivariate analysis identified older age, tumor size 5 or more, palliative therapy, high Barcelona Clinic Liver Cancer stage, and high KS as significant factors for predicting poor OS and DFS. A combination of the KS and tumor size showed better discrimination ability for survival than Barcelona Clinic Liver Cancer stage.

CONCLUSION

The KS is an effective index for predicting OS and DFS in hepatitis B-associated HCC. Larger cohorts are needed to validate our finding.