Treatment and outcomes of recurrent hepatocellular carcinomas

Optimizing hepatocellular carcinoma disease staging systems by incorporating tumor micronecrosis: A multi-institutional retrospective study

Tumor micronecrosis is a pathological feature that reflects malignant biological behavior in hepatocellular carcinoma (HCC). However, whether micronecrosis can optimize HCC staging systems remains unilluminated. A total of 1632 HCC patients who underwent curative hepatectomy in four institutions from January 2014 to December 2021 were enrolled in this study. Independent prognostic factors were identified, and optimized staging models were established using a training cohort (n = 934). The performance of optimized staging models was validated using an external cohort consisting of cases from three other institutions (n = 232). In addition, patients from our prospectively collected database (n = 379) tested the application effectiveness of the models. Harrel's c-statistics and the corrected Akaike information criterion (AICc) were used to assess the performance of staging models. In most of Barcelona Clinic Liver Cancer (BCLC) and tumor (T) stages, HCC patients with tumor micronecrosis showed poorer prognosis than those without. Tumor micronecrosis, microvascular invasion, multiple tumors and tumor size >2 cm were independent prognostic-related factors. The BCLC and T staging models incorporating tumor micronecrosis showed better performance than the original systems (c-statistic, 0.712 and 0.711 vs. 0.664 and 0.679; AICc, 2314.8 and 2322.3 vs. 2338.2 and 2338.1; respectively). Furthermore, the external validation cohort confirmed that the optimized staging models had improved efficiency compared with the original ones. Moreover, the prospective cohort demonstrated the applicability of the optimized staging systems. Tumor micronecrosis plays a stage-ascending role in HCC patients. The BCLC and T staging systems incorporating tumor micronecrosis can improve the prognosis stratification efficiency of patients.

Long-term survival analysis of ultrasound-guided percutaneous microwave ablation for hepatocellular carcinoma conforming to the Milan criteria: primary versus recurrent HCC

BACKGROUND

This study compared long-term outcomes between patients with initial hepatocellular carcinoma (IHCC) and those with recurrent HCC (RHCC) treated with microwave ablation (MWA).

METHODS

This retrospective study included 425 patients with HCCs (294 IHCCs and 131 RHCCs) within the Milan criteria who were treated with ultrasound-guided percutaneous MWA between January 2008 and November 2021. All patients with RHCC had previously undergone MWA for initial HCC. Overall survival (OS) and recurrence-free survival (RFS) rates were compared between the IHCC and RHCC groups before and after propensity score matching (PSM).

RESULTS

Before matching, the 1-, 3-, 5-, and 10-year OS rates in the IHCC group were 95.9%, 78.5%, 60.2%, and 42.5%, respectively, which were significantly higher than those in the RHCC group (93.8%, 70.0%, 42.0%, and 6.6%, respectively). This difference remained significant after PSM. However, subgroup analyses suggested that there were no significant differences in OS rates between IHCC and RHCC in patients with solitary HCC ≤3.0 cm, AFP ≤200 ng/mL, ablative margins ≥0.5 cm, or Albumin-Bilirubin (ALBI) grade 1. RFS was significantly higher in IHCC than in RHCC before and after PSM, as well as in subgroup analyses. ALBI grade (hazard ratio (HR), 2.38; 95% CI: 1.46-3.86; p < 0.001), serum AFP level (HR, 2.07; 95% CI: 1.19-3.62; p = 0.010) and ablative margins (HR, 0.18; 95% CI: 0.06-0.59; p = 0.005) were independent prognostic factors for OS of RHCC. Serum AFP(HR, 1.29; 95% CI: 1.02-1.63, p = 0.036) level was the only factor associated with RFS in RHCC.

CONCLUSIONS

MWA yielded comparable OS in IHCC and RHCC patients with solitary HCC ≤3.0 cm, AFP ≤200 ng/mL, ablative margins ≥0.5 cm, or ALBI grade 1.

Quercetin-induced degradation of RhoC suppresses hepatocellular carcinoma invasion and metastasis

BACKGROUND

Tumor metastasis and recurrence are major causes of mortality in patients with hepatocellular carcinoma (HCC) that is still lack of effective therapeutic targets and drugs. Previous reports implied that ras homolog family member C (RhoC) plays a toxic role on metastasis and proliferation of cancer.

METHODS

In this research, the correlation between RhoC and metastasis ability was confirmed by in vitro experiments and TCGA database. We explored whether quercetin could inhibit cell migration or invasion by transwell assay. Real-time PCR, overexpression and ubiquitination assay, etc. were applied in mechanism study. Primary HCC cells and animal models including patient-derived xenografts (PDXs) were employed to evaluate the anti-metastasis effects of quercetin.

RESULTS

Clinical relevance and in vitro experiments further confirmed the level of RhoC was positively correlated with invasion and metastasis ability of HCC. Then we uncovered that quercetin could attenuate invasion and metastasis of HCC by downregulating RhoC's level in vitro, in vivo and PDXs. Furthermore, mechanistic investigations displayed quercetin hindered the E3 ligase expression of SMAD specific E3 ubiquitin protein ligase 2 (SMURF2) leading to enhancement of RhoC's ubiquitination and proteasomal degradation.

CONCLUSIONS

Our research has revealed the novel mechanisms quercetin regulates degradation of RhoC level by targeting SMURF2 and identified quercetin may be a potential compound for HCC therapy.

Identification and validation of a prognostic-related mutant gene DNAH5 for hepatocellular carcinoma

Background

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide and has a poor prognosis. Thus, there is a need for an effective biomarker to improve and predict the prognosis of HCC.

Methods

RNA sequencing data, simple nucleotide variation data, and clinical data of HCC patients from The Cancer Genome Atlas (TCGA) to identify mutant genes, simple nucleotide variation data, and clinical data of HCC patients from the International Cancer Genome Consortium (ICGC) to validate the prognostic value of mutant genes were the data sources of the present study. To identify the overall survival (OS)-related mutant genes, a Kaplan-Meier (KM) analysis was conducted. We carried out univariate Cox and multivariate Cox regression analyses to identify the independent prognostic factors. We also conducted a correlation analysis of immune cells and mutant genes. To explore the molecular mechanisms of mutant genes, we conducted a gene set enrichment analysis (GSEA). A nomogram was constructed to help predict the prognosis of HCC. In addition, we explored the expression profile of mutant genes in HCC based on a TCGA dataset, an ICGC dataset, and our own HCC tissue samples.

Results

We identified and validated a mutant gene, dynein axonemal heavy chain 5 (DNAH5), which was negatively related to the OS of HCC patients. Univariate Cox and multivariate Cox regression analyses revealed that the mutant gene DNAH5 could act as an independent prognostic factor for HCC. Most pathways of the mutant gene DNAH5 were involved in cancer development and progression based on GSEA analysis. The mutant gene DNAH5 was negatively correlated with monocytes, naive CD4 T cells, activated dendritic cells, and activated mast cells. In addition, the mRNA and protein levels of DNAH5 had a significantly higher level of expression in the tissue samples of patients with HCC. A nomogram consisting of the pathological stage, DNAH5, and tumor mutation burden (TMB) performed well.

Conclusion

The mutant gene DNAH5 had a significantly higher level of expression in the tissue samples of patients with HCC, could act as an independent prognostic factor for HCC, and is a potential new immunotherapy target for HCC.

Prognosis-Related Molecular Subtypes and Immune Features Associated with Hepatocellular Carcinoma

Bioinformatics tools were used to identify prognosis-related molecular subtypes and biomarkers of hepatocellular carcinoma (HCC). Differential expression analysis of four datasets identified 3330 overlapping differentially expressed genes (DEGs) in the same direction in all four datasets. Those genes were involved in the cell cycle, FOXO signaling pathway, as well as complement and coagulation cascades. Based on non-negative matrix decomposition, two molecular subtypes of HCC with different prognoses were identified, with subtype C2 showing better overall survival than subtype C1. Cox regression and Kaplan-Meier analysis showed that 217 of the overlapping DEGs were closely associated with HCC prognosis. The subset of those genes showing an area under the curve >0.80 was used to construct random survival forest and least absolute shrinkage and selection operator models, which identified seven feature genes (SORBS2, DHRS1, SLC16A2, RCL1, IGFALS, GNA14, and FANCI) that may be involved in HCC occurrence and prognosis. Based on the feature genes, risk score and recurrence models were constructed, while a univariate Cox model identified FANCI as a key gene involved mainly in the cell cycle, DNA replication, and mismatch repair. Further analysis showed that FANCI had two mutation sites and that its gene may undergo methylation. Single-sample gene set enrichment analysis showed that Th2 and T helper cells are significantly upregulated in HCC patients compared to controls. Our results identify FANCI as a potential prognostic biomarker for HCC.

Surgical Resection Is Superior to TACE in the Treatment of HCC in a Well Selected Cohort of BCLC-B Elderly Patients-A Retrospective Observational Study

Hepatocellular carcinoma (HCC) usually develops in cirrhotic liver, with high recurrence rates. However, considering its increasing detection in non-cirrhotic liver, the choice of treatment assumes particular relevance. This study aimed to investigate outcomes of patients among BCLC stages and enrolled for surgical resection (SR) according to a more complex evaluation, to establish its safety and efficacy. A total of 186 selected HCC patients (median age 73.2 yrs), submitted to SR between January 2005 and January 2021, were retrospectively analyzed. Of which, 166 were staged 0, A, B according to the BCLC system, while 20 with a single large tumor (>5 cm) were classified as stage AB. No perioperative mortality was recorded; complications occurred in 48 (25.80%) patients, and all but two were Clavien−Dindo grade I−II. Median follow-up was 9.2 years. Subsequently, 162 recurrent patients (87,1%) were selected for new treatments. Comparable overall survival rates (OS) were observed at 1, 3, 5, and 10 years in 0, A, B and AB stages (p = 0.2). Eventually, the BCLC-B group was matched to 40 BCLC-B patients treated (2015-2021) with TACE. Significant differences in baseline characteristics (p <0.0001) and in OS were observed at 1 and 3 years (p <0.0001); a significant difference was also observed in oncological outcomes, in terms of the absence, residual, or relapse of disease (p <0.05). Surgery might be a valid treatment in HCC for patients affected by chronic liver disease in a condition of compensation, up to BCLC-B stage. Surgical indication for liver resection in case of HCC should be extensively revised.

Impact of tumor burden score on timing and patterns of recurrence after curative-intent resection of hepatocellular carcinoma

BACKGROUND

The ability to predict the incidence, timing, and site of recurrence can be beneficial to select surgical candidates and inform appropriate postoperative surveillance. We sought to identify factors associated with risk and timing of recurrence after resection of hepatocellular carcinoma based on differences in tumor burden score.

METHODS

Patients who underwent curative-intent liver resection for hepatocellular carcinoma between 2000 and 2020 were identified from an international multi-institutional database. The incidence, timing, and pattern of recurrence was examined relative to traditional clinicopathological factors, as well as tumor burden score using hazard rates and multivariable analysis.

RESULTS

Among 1,994 patients (tumor burden score, low: n = 511, 25.6% vs medium: n = 1,286, 64.5% vs high: n = 197, 9.9%), the incidence of recurrence at 5 years was 50.4% (95% confidence interval 47.9-53.0); risk of recurrence varied relative to hepatocellular carcinoma tumor burden score (low: 36.0% vs medium: 54.4% vs high: 62.5%, P < .001). Although intrahepatic recurrence was much more common in low tumor burden score (low: n = 106, 84.1% vs medium: n = 335, 71.7% vs high: n = 48, 56.5%; P < .001), extrahepatic recurrence was more common in high tumor burden score (low: n = 18, 14.3% vs medium: n = 121, 25.9% vs high: n = 37, 43.5%; P < .001). The peak hazard rate for intrahepatic recurrence among patients with a high tumor burden score was almost double the peak hazard noted among patients with a low tumor burden score (low: 0.047, 42.0 months vs medium: 0.051, 6.6 months vs high: 0.094, 15.0 months). Of note, the patients with high tumor burden score were also more likely to recur earlier (≤24 months) (low: n = 227, 44.4% vs medium: n = 686, 53.3% vs high: n = 144, 73.1%) with multiple tumors (low: n = 50, 36.5% vs medium: n = 271, 56.1% vs high: n = 52, 70.3%) and larger lesions (low: 1.8 [interquartile range 1.2-3.0] cm vs medium: 2.0 [interquartile range 1.3-3.0] cm vs high: 2.5 [interquartile range 1.6-4.4] cm) (all P < .001). On multivariable analysis, high tumor burden score remained independently associated with risk of recurrence (referent, low; medium: hazard ratio = 1.49 [95% confidence interval 1.19-1.88], P = .001; high: hazard ratio = 1.95 [95% confidence interval 1.41-2.69]; P < .001].

CONCLUSION

Tumor burden score was independently associated with higher risk of recurrence. Patients who underwent resection of high tumor burden score lesions were more likely to recur early with multiple tumors and at an extrahepatic site. Tumor burden score is an important tool in assessing risk, timing, and pattern of recurrence after resection of hepatocellular carcinoma.

Bioinformatics Analysis for Constructing a Six-Immune-Related Long Noncoding RNA Signature as a Prognostic Model of Hepatocellular Carcinoma

The present study was aimed at identifying the potential prognostic biomarkers of the immune-related long noncoding RNA (IRL) signature for patients with hepatocellular carcinoma (HCC). RNA-sequencing data and clinical information about HCC were obtained from The Cancer Genome Atlas. The IRLs were determined with regard to the coexpression of immune-related genes and differentially expressed lncRNAs. The survival IRLs were obtained using the univariate Cox analysis. Subsequently, the prognosis model was constructed via the multivariate Cox analysis. Subsequently, functional annotation was conducted using Gene Set Enrichment Analysis (GSEA) and principal component analysis (PCA). In total, 341 IRLs were identified, and 6 IRLs were found to have a highly significant association with the prognosis of patients with HCC. The immune prognosis model was constructed with these 6 IRLs (AC099850.4, negative regulator of antiviral response, AL031985.3, PRRT3-antisense RNA1, AL365203.2, and long intergenic nonprotein coding RNA 1224) using the multivariate Cox regression analysis. In addition, immune-related prognosis signatures were confirmed as an independent prognostic factor. The association between prognostic signatures and immune infiltration indicated that the 6 lncRNAs could reflect the immune status of the tumor. Collectively, the present study demonstrates that six-lncRNA signatures may be potential biomarkers to predict the prognosis of patients with HCC.

Effectiveness of radiofrequency ablation versus transarterial chemoembolization for recurrent hepatocellular carcinoma: A meta-analysis

Background

Both transarterial chemoembolization (TACE) and radiofrequency ablation (RFA) are effective methods for the treatment of recurrent hepatocellular carcinoma (RHCC). Thus far, it is unclear which method is more satisfactory in short- and long-term survival benefits.

Purpose

To compare the overall survival (OS) and complications of TACE and RFA used for the management of RHCC.

Material and Methods

A literature search was carried out using PubMed, the Cochrane Library and, Embase databases, and Google Scholar, keywords including “RHCC,” “TACEC,” and “RFA” with a cutoff date of 30 April 2021. Used Review Manager software was to calculate short- and long-term OS. The clinical outcomes are major complications and complete response (CR).

Results

Finally, nine clinical trials met the research standard, including 1326 subjects, of which 518 received RFA and 808 received TACE. The analysis showed that patients who underwent RFA had significantly higher 1-, 3-, and 5-year OS (OR_1-year = 1.92, 95% confidence interval (CI) = 1.27–2.91, p = .002; OR_3-year = 1.64, 95% CI = 1.30–2.08, p <.0001; OR_5-year = 3.22, 95% CI = 1.34–7.72, p=.009). Besides, the patients who chose RFA had an obvious higher rate of CR than those receiving TACE (OR = 33.75, 95% CI = 1.73–658.24, p = .002). However, the major complications were consistency between these two groups.

Conclusion

Our study discovered that RFA had greater CR and incidence in both the short-term and long-term OS than TACE. In addition, obvious difference was not found in major complications in these two methods.

Comprehensive Analysis of the Prognostic Values of the TRIM Family in Hepatocellular Carcinoma

Background

Accumulating studies have demonstrated the abnormal expressions and prognostic values of certain members of the tripartite motif (TRIM) family in diverse cancers. However, comprehensive prognostic values of the TRIM family in hepatocellular carcinoma (HCC) are yet to be clearly defined.

Methods

The prognostic values of the TRIM family were evaluated by survival analysis and univariate Cox regression analysis based on gene expression data and clinical data of HCC from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The expression profiles, protein–protein interaction among the TRIM family, prediction of transcription factors (TFs) or miRNAs, genetic alterations, correlations with the hallmarks of cancer and immune infiltrates, and pathway enrichment analysis were explored by multiple public databases. Further, a TRIM family gene-based signature for predicting overall survival (OS) in HCC was built by using the least absolute shrinkage and selection operator (LASSO) regression. TCGA–Liver Hepatocellular Carcinoma (LIHC) cohort was used as the training set, and GSE76427 was used for external validation. Time-dependent receiver operating characteristic (ROC) and survival analysis were used to estimate the signature. Finally, a nomogram combining the TRIM family risk score and clinical parameters was established.

Results

High expressions of TRIM family members including TRIM3, TRIM5, MID1, TRIM21, TRIM27, TRIM32, TRIM44, TRIM47, and TRIM72 were significantly associated with HCC patients’ poor OS. A novel TRIM family gene-based signature (including TRIM5, MID1, TRIM21, TRIM32, TRIM44, and TRIM47) was built for OS prediction in HCC. ROC curves suggested the signature’s good performance in OS prediction. HCC patients in the high-risk group had poorer OS than the low-risk patients based on the signature. A nomogram integrating the TRIM family risk score, age, and TNM stage was established. The ROC curves suggested that the signature presented better discrimination than the similar model without the TRIM family risk score.

Conclusion

Our study identified the potential application values of the TRIM family for outcome prediction in HCC.

Identification and Validation of Hub Genes Predicting Prognosis of Hepatocellular Carcinoma

INTRODUCTION

The aim of this study is selecting the hub genes associated with hepatocellular carcinoma (HCC) to construct a Cox regression model for predicting prognosis in HCC patients.

METHODS

Using HCC patient data from the ICGC and TCGA databases, screened for 40 core genes highly correlated with histological grade of HCC. Univariate and multivariate Cox regression analyses were performed on the genes highly associated with HCC prognosis, and the model was established. The expression of those genes was measured by immunohistochemistry in 110 HCC patients who underwent the surgery in the First Affiliated Hospital of Wenzhou Medical University. The survival of HCC patients was analyzed by the Kaplan-Meier method.

RESULTS

Eight genes (CDC45, CENPA, MCM10, MELK, CDC20, ASF1B, FANCD2, and NCAPH) were correlated with prognosis, and the same result was observed in 110 HCC patients. Using the regression model, the HCC patients in the training set were classified as high- and low-risk groups. The overall survival of patients in the high-risk group was shorter than that in the low-risk group, and the same results were obtained in the verification set.

CONCLUSION

This study found that the risk model according to these 8 genes can be used as a predictor of prognosis in HCC. These genes may become alternative biomarkers and therapeutic targets and provide new therapeutic strategies for HCC.

Genomic Instability of Mutation-Derived Gene Prognostic Signatures for Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the major cancer-related deaths worldwide. Genomic instability is correlated with the prognosis of cancers. A biomarker associated with genomic instability might be effective to predict the prognosis of HCC. In the present study, data of HCC patients from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases were used. A total of 370 HCC patients from the TCGA database were randomly classified into a training set and a test set. A prognostic signature of the training set based on nine overall survival (OS)–related genomic instability–derived genes (SLCO2A1, RPS6KA2, EPHB6, SLC2A5, PDZD4, CST2, MARVELD1, MAGEA6, and SEMA6A) was constructed, which was validated in the test and TCGA and ICGC sets. This prognostic signature showed more accurate prediction for prognosis of HCC compared with tumor grade, pathological stage, and four published signatures. Cox multivariate analysis revealed that the risk score could be an independent prognostic factor of HCC. A nomogram that combines pathological stage and risk score performed well compared with an ideal model. Ultimately, paired differential expression profiles of genes in the prognostic signature were validated at mRNA and protein level using HCC and paratumor tissues obtained from our institute. Taken together, we constructed and validated a genomic instability–derived gene prognostic signature, which can help to predict the OS of HCC and help us to explore the potential therapeutic targets of HCC.

Liver resection versus radiofrequency ablation for recurrent hepatocellular carcinoma: a systematic review and meta-analysis

BACKGROUND & AIMS

Liver resection (LR) and radiofrequency ablation (RFA) are commonly used for the treatment of recurrent hepatocellular carcinoma (HCC), but the optimal treatment modality remains unclear. We aimed to compare the efficacy and safety of LR vs RFA for recurrent HCC.

METHODS

We searched PubMed, Embase, Web of Science, and the Cochrane Library for relevant studies. The primary outcomes were overall survival (OS) and disease-free survival (DFS). The secondary outcomes were major complications and hospital stay.

RESULTS

Eighteen studies with 1991 patients with recurrent HCC were included. The pooled hazard ratio (HR) for OS demonstrated that LR had significantly better OS than RFA in recurrent HCC (HR, 0.81; 95% confidence interval [CI], 0.68-0.95). Specifically, LR was associated with higher 2-, 3- and 4-year OS rates compared with RFA. The pooled HR for DFS showed no significant difference between LR and RFA during the whole follow-up period (HR, 0.90; 95% CI, 0.76-1.07). However, LR was associated with significantly higher 2- to 5-year DFS rates compared to RFA. LR was also associated with more major complications (p < .001) and longer hospital stay (p < .001). Subgroup analyses demonstrated that LR and RFA had similar efficacy in patients with recurrent tumors less than 3 cm or patients presenting three or fewer recurrent nodules.

CONCLUSION

LR could provide better long-term survival outcomes than RFA for recurrent HCC patients, while RFA has a higher safety profile. RFA can be a good alternative to LR for patients with small-sized recurrence or patients with a limited number of recurrent nodules. However, as tumor size increases, LR tends to be more efficacious.

MAPK-RAP1A Signaling Enriched in Hepatocellular Carcinoma Is Associated With Favorable Tumor-Infiltrating Immune Cells and Clinical Prognosis

Background

MAPK-RAP1A signaling, which is involved in cancer progression, remains to be defined. Upregulation of MAPK-RAP1A signaling accounts for most cancers that harbor high incident rate, such as non-small cell lung cancer (NSCLC) and pancreatic cancer, especially in hepatocellular carcinoma (HCC). MAPK-RAP1A signaling plays an important function as clinical diagnosis and prognostic value in cancers, and the role of MAPK-RAP1A signaling related with immune infiltration for HCC should be elucidated.

Methods

Microarray data and patient cohort information from The Cancer Genome Atlas (TCGA; n = 425) and International Cancer Genome Consortium (ICGC; n = 405) were selected for validation. The Cox regression and least absolute shrinkage and selection operator (LASSO) were used to construct a clinical prognostic model in this analysis and validation study. We also tested the area under the curve (AUC) of the risk signature that could reflect the status of predictive power by determining model. MAPK-RAP1A signaling is also associated with tumor-infiltrating immune cells (TICs) as well as clinical parameters in HCC. The GSEA and CIBERSORT were used to calculate the proportion of TICs, which should be beneficial for the clinical characteristics (clinical stage, distant metastasis) and positively correlated with the survival of HCC patients.

Results

HCC patients with enrichment of MAPK-RAP1A signaling were associated with clinical characteristics and favorable T cell gamma delta (Vδ T cells), and STMN1, RAP1A, FLT3, HSPA8, ANGPT2, and PGF were used as candidate biomarkers for risk scores of HCC. To determine the molecular mechanism of this signature gene association, Gene Set Enrichment Analysis (GSEA) was proposed. Cytokine-cytokine receptor interaction, TGF-β signaling pathway, and Intestinal immune network for IgA production gene sets were closely related in MAPK-RAP1A gene sets. Thus, we established a novel prognostic prediction of HCC to deepen learning of MAPK-RAP1A signaling pathways.

Conclusion

Our findings demonstrated that HCC patients with enrichment of MAPK-RAP1A signaling were associated with clinical characteristics and favorable T cell gamma delta (Vδ T cells), which may be a novel prognostic prediction of HCC.

Extrapolating Prognostic Factors of Primary Curative Resection to Postresection Recurrences Hepatocellular Carcinoma Treatable by Radiofrequency Ablation

Objective

Recurrence after curative resection for hepatocellular carcinoma (HCC) is a major cause of death from this disease. Factors of primary curative resection are available and potential in the prognosis of follow-up treatment. Our aim was to assess the prognostic significance of primary curative resection factors in recurrent HCC patients undergoing radiofrequency ablation therapy (RFA).

Methods

In this retrospective study, we assessed 235 patients who underwent limited RFA of HCC recurrences (tumors ≤ 5 cm; nodules ≤ 3) after primary curative resection. Factors of primary curative resection were collected, and overall survival and recurrence-free survival were evaluated by the Kaplan-Meier method. Univariate and multivariate analyses were used to identify significant prognostic factors.

Results

After a median follow-up of 36 months, 54 patients died, and 128 patients had hepatic recurrence. On univariate analyses, patients whose primary tumors were less differentiated (p = 0.032 and p = 0.048) and required less time to recur (p = 0.013 and p = 0.001) after curative resection displayed poorer overall survival and higher recurrence rates following RFA. On multivariate analyses, the pathologic tumor grade (p = 0.026 and p = 0.038) and recurrence-free survival after primary curative resection (p = 0.028 and p < 0.001) emerged as independent risk factors of survival and HCC recurrence.

Conclusions

Primary tumor differentiation and time to recurrence after curative resection are viable prognostic factors of overall survival and further recurrence risk in patients undergoing RFA of recurrent HCC.

Construction and evaluation of a prognosis lncRNA model for hepatocellular carcinoma

Current studies indicate that long non-coding RNA (lncRNA) is often abnormally expressed in hepatocellular carcinoma (HCC). We intend to generate a multi-lncRNA signal to improve the prognosis of HCC. By analyzing 12 pairs of HCC and adjacent normal mucosal tissues, 3900 differentially expressed lncrnas were identified as candidate biomarkers for the prognosis of HCC. Then, the 12-lncrna signature was constructed using the LASSO Cox regression method and verified in the TCGA training dataset. Finally, we established a novel 12-lncrna signature that was significantly associated with overall survival (OS) in the training data set. With the use of 12-lncrna markers, patients in the training cohort were divided into high-risk and low-risk groups with significant OV differences (P < .0001). Similar results were consistent in the TCGA verification dataset (P = .046). Multivariate Cox model was used to analyze and construct the risk scores of selected key lncRNA and AJCC stages. The results showed that, compared with AJCC stages, lncRNA-based risk scores were another important factor affecting the OS of patients. We found that risk scores based on lncRNA have a stronger prediction ability than the AJCC stage alone on 4-year OS. For 4-year survival rates, prediction combined with the lncRNA risk score and AJCC stage, model effectiveness (sensitivity and specificity) has reached to 0.750. To further explore the biological processes involved in prognostic lncRNA, all HCC samples in TCGA are divided into two groups according to the median lncRNA risk score, and analyzed the gene enrichment of high expression genes and low expression genes in KEGG data using goana in limma. The results suggest that the genes associated with tumor pathways, such as PI3K-Akt and ECM-receptor interaction, are highly expressed in the high risk group.

Options for the treatment of intrahepatic recurrent hepatocellular carcinoma: Salvage liver transplantation or rehepatectomy?

OBJECTIVE

To explore prognostic factors by comparing the efficacy of salvage liver transplantation (sLT) and rehepatectomy (RH) for the treatment of recurrent hepatocellular carcinoma after hepatectomy.

METHODS

Clinical data were collected for 124 patients treated at our center from January 2012 to August 2018. The median follow-up time for the patients was 39 months. By analyzing the clinical data between the sLT group (46 cases) and RH group (78 cases), the factors affecting the prognosis of patients were compared.

RESULTS

The proportion of alpha-fetoprotein (AFP) ≥ 100 µg/L in the recurrence group was significantly higher than that in the recurrence-free group (70.0% vs 22.2%, P = .014). The postoperative overall survival (OS) and recurrence-free survival (RFS) were better in the sLT group than in the RH group (81.2% vs 36.9%, P < .01; 77.1% vs 55.6%, P = .019). In the sLT group, the OS and RFS in the AFP < 100 µg/L group were superior to those in the AFP ≥ 100 µg/L group (P = .046 and P = .002).

CONCLUSION

The sLT group had achieved better efficacy than RH group, but when AFP ≥ 100 µg/L, sLT did not achieve better efficacy than RH.

Development and validation of a novel immune-related prognostic model in hepatocellular carcinoma

Background

Growing evidence has suggested that immune-related genes play crucial roles in the development and progression of hepatocellular carcinoma (HCC). Nevertheless, the utility of immune-related genes for evaluating the prognosis of HCC patients are still lacking. The study aimed to explore gene signatures and prognostic values of immune-related genes in HCC.

Methods

We comprehensively integrated gene expression data acquired from 374 HCC and 50 normal tissues in The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) analysis and univariate Cox regression analysis were performed to identify DEGs that related to overall survival. An immune prognostic model was constructed using the Lasso and multivariate Cox regression analyses. Furthermore, Cox regression analysis was applied to identify independent prognostic factors in HCC. The correlation analysis between immune-related signature and immune cells infiltration were also investigated. Finally, the signature was validated in an external independent dataset.

Results

A total of 329 differentially expressed immune‐related genes were detected. 64 immune‐related genes were identified to be markedly related to overall survival in HCC patients using univariate Cox regression analysis. Then we established a TF-mediated network for exploring the regulatory mechanisms of these genes. Lasso and multivariate Cox regression analyses were applied to construct the immune-based prognostic model, which consisted of nine immune‐related genes. Further analysis indicated that this immune-related prognostic model could be an independent prognostic indicator after adjusting to other clinical factors. The relationships between the risk score model and immune cell infiltration suggested that the nine-gene signature could reflect the status of tumor immune microenvironment. The prognostic value of this nine-gene prognostic model was further successfully validated in an independent database.

Conclusions

Together, our study screened potential prognostic immune-related genes and established a novel immune-based prognostic model of HCC, which not only provides new potential prognostic biomarkers and therapeutic targets, but also deepens our understanding of tumor immune microenvironment status and lays a theoretical foundation for immunotherapy.

The presence of microvascular invasion guides treatment strategy in recurrent HBV-related HCC

OBJECTIVES

We used the status of microvascular invasion (MVI) at primary resection to help treatment selection for hepatitis B virus-positive (HBV+) recurrent hepatocellular carcinoma (rHCC) patients in Barcelona Clinic Liver Cancer (BCLC) stage B-C.

METHODS

From 2009 to 2017, we enrolled 221 consecutive HBV+ rHCC patients at BCLC stage B-C who underwent re-resection (RR), radiofrequency ablation (RFA), or transarterial chemoembolization (TACE). Post recurrence survival (PRS) and overall survival (OS) were compared between RR/RFA and TACE according to MVI status. A one-to-one propensity score matching analysis was performed.

RESULTS

For MVI(-) patients, the median PRS was 62.3 months for the RR/RFA group and 21.1 months for the TACE group (p = 0.039). The corresponding OS was 71.4 months and 26.6 months, respectively (p = 0.010). For MVI(+) patients, the median PRS in the RR/RFA group and TACE group was 14.7 months and 10.1 months (p = 0.115). The corresponding OS was 23.4 months and 16.4 months, respectively (p = 0.067). After matching, the dominance of RR/RFA over TACE remained in MVI(-) patients for both PRS (62.3 months vs 15.3 months, p = 0.019) and OS (98.1 months vs 33.4 months, p = 0.046). No significant difference was found in MVI(+) patients for either PRS (14.7 months vs 11.8 months, p = 0.593) or OS (23.4 months vs 28.1 months, p = 0.662).

CONCLUSIONS

MVI status definitely helps select treatment options in HBV+ rHCC patients. For MVI(-) patients, RR/RFA provided better survival than TACE while for MVI(+) patients, TACE shared similar survival outcomes.

KEY POINTS

• This study aimed at the determination of the optimal treatment options (ablation /resection vs TACE) in case of recurrent HBV-related HCC. • It showed that MVI status, established at primary resection of HCC, was a powerful marker for selecting the best treatment option in these patients. • In MVI(-) patients, RR/RFA achieved a better survival than TACE. In MVI(+) patients, TACE shared similar survival.

Three cases of hepatocellular carcinoma treated 4 times with proton beams

HCC may recur following surgery or radiofrequency ablation. Proton beam therapy (PBT) is a type of radiotherapy that achieves excellent local control of HCC without severe toxicity. The present study reported the long-term outcome of 3 HCC patients who each received 4 repeat courses of PBT. All patients had a hepatitis B or C viral infection. A total of 14 lesions were treated using a curative PBT protocol and irradiated liver volumes in each treatment were 7-50% of the total liver volume. Liver function in all cases was considerably preserved until the last follow-up and patient survival was 51-107 months from the first PBT with no local recurrence observed in the 14 lesions. The presented cases indicated that repeated PBT is an effective treatment option for recurrent HCC due to reduced liver damage and superior local treatment compared with other treatment options such as transarterial chemoembolization.

[Expression and clinical significance of chemokine CXCL10 and its receptor CXCR3 in hepatocellular carcinoma]

OBJECTIVE

To explore the expression and clinical significance of chemokine CXCL10 and CXCR3 in hepatocellular carcinoma (HCC).

METHODS

The expression and prognostic of CXCL10 and CXCR3 in HCC tumor tissues and non-tumor tissues were analyzed in two different publicly available databases the Cancer Genome Atlas (TCGA) and Liver Cancer Institute (LCI). In addition, quantitative real-time PCR (qPCR) was used to detect the mRNA expression of CXCL10 and CXCR3 in 45 HCC clinical samples with HBV infection background. Pearson correlation and Spearman rank correlation were used to determine the correlation between the expression level of CXCL10 and CXCR3 in tumor and non-tumor tissues.

RESULTS

In TCGA database, the expression of CXCL10 in HCC tumor tissues was significantly higher than that in non-tumor tissues (nonpaired samples: 3.379±2.081 vs. 2.213±2.274, P<0.001; paired samples: 3.159±2.267 vs. 2.213±2.274, P=0.018). Similarly in LCI datebase (7.625±1.683 vs. 7.287±1.328, P=0.009). And higher CXCL10 expression was significantly associated with a better prognosis in the patients with HCC both in TCGA and LCI database (P=0.107, P=0.002). In TCGA database, the expression of CXCR3 in HCC tumor tissues was significantly higher than that in non-tumor tissues (nonpaired samples: -0.906±1.697 vs. -1.978±1.629, P<0.001; paired samples: -1.329±1.732 vs. -1.978±1.629, P=0.037), while lower in LCI database (3.989±0.339 vs. 4.074±0.309, P=0.003). In both databases, higher CXCR3 expression was significantly associated with a better prognosis in the HCC patients (P=0.004, P=0.014). Furthermore, in TCGA database, the expression level of CXCL10 and CXCR3 was positively correlated both in HCC tumor tissues and matched non-tumor tissues (r=0.584, P<0.001; r=0.776, P<0.001). The qPCR assay showed that the expression of CXCL10 in HBV-related HCC tumor tissues was significantly higher than those in normal liver tissues [0.479(0.223, 1.094) vs. 0.131(0.106, 0.159), P=0.010], and the expression in HBV-related non-tumor tissues was also significantly higher than those in normal liver tissues [0.484(0.241, 0.846) vs. 0.131(0.106, 0.159), P<0.001]. The same was true as CXCR3 [0.011(0.006, 0.019) vs. 0.002(0.001, 0.004), P=0.004; 0.016(0.011, 0.021) vs. 0.002(0.001, 0.004), P<0.001]. However there was no significant difference of CXCL10 and CXCR3 between tumor tissues and matched non-tumor tissues (P=1.000, P=0.374).

CONCLUSION

Expression of CXCL10 was up-regulated in HCC tissues, expression of CXCR3 was down-regulated in HBV-related HCC tissues, and the higher expression of both genes was correlated with better overall survival in HCC patients.

Identification of a five-long non-coding RNA signature to improve the prognosis prediction for patients with hepatocellular carcinoma

AIM

To construct a long non-coding RNA (lncRNA) signature for predicting hepatocellular carcinoma (HCC) prognosis with high efficiency.

METHODS

Differentially expressed lncRNAs (DELs) between HCC specimens and peritumor liver specimens were identified using the edgeR package to analyze The Cancer Genome Atlas (TCGA) LIHC dataset. Univariate Cox proportional hazards regression was performed to obtain the DELs significantly associated with overall survival (OS) in a training set. These OS-related DELs were further analyzed using a stepwise multivariate Cox regression model. Those lncRNAs fitted in the multivariate Cox regression model and independently associated with overall survival were chosen to build a prognostic risk formula. The prognostic value of this formula was then validated in the test group and the entire cohort and further compared with two previously identified prognostic signatures for HCC. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed to explore the potential biological functions of the lncRNAs in the signature.

RESULTS

Based on lncRNA expression profiling of 370 HCC patients from the TCGA database, we constructed a 5-lncRNA signature (AC015908.3, AC091057.3, TMCC1-AS1, DCST1-AS1 and FOXD2-AS1) that was significantly associated with prognosis. HCC patients with high-risk scores based on the expression of the 5 lncRNAs had significantly shorter survival times compared to patients with low-risk scores in both the training and test groups. Multivariate Cox regression analysis demonstrated that the prognostic value of the 5 lncRNAs was independent of clinicopathological parameters. A comparison study involving two previously identified prognostic signatures for HCC demonstrated that this 5-lncRNA signature showed improved prognostic power compared with the other two signatures. Functional enrichment analysis indicated that the 5 lncRNAs were potentially involved in metabolic processes, fibrinolysis and complement activation.

CONCLUSION

Our present study constructed a 5-lncRNA signature that improves survival prediction and can be used as a prognostic biomarker for HCC patients.

Recurrence rate and overall survival of operated ruptured hepatocellular carcinomas

OBJECTIVE

Hepatocellular carcinomas (HCC) can infrequently rupture and cause hemorrhage. Little is known on recurrence rate (RR) and overall survival (OS) in case of ruptured HCC. This study aimed to assess RR, time to recurrence, and OS of operated ruptured HCC.

PATIENTS AND METHODS

All operated patients with HCC (1999-2015) were reviewed. Patient demographics, perioperative details, and postoperative outcomes of ruptured HCC were recorded. RR, time to recurrence, and OS were calculated. RR and OS of ruptured and non-ruptured HCC were compared.

RESULTS

Among the 140 consecutive patients with HCC operated during the study period, 14 presented with rupture. Eleven patients had cirrhosis (all Child-Pugh A). At presentation, median α-fetoprotein and hemoglobin levels were 23 µg/l (interquartile range: 5-883) and 127 g/l (118-148), respectively. All but one patient felt abdominal pain, and two were in hemorrhagic shock. Preoperative embolization with staged hepatectomy was performed in seven patients. Five patients were first treated conservatively and then had an elective hepatectomy, whereas two patients had upfront surgery (one packing and one segmentectomy). Major hepatectomy was performed in eight cases. Median intraoperative blood loss was 1000 ml (500-2100). Overall complication rate was 36%. Eight patients presented a recurrence (57%; median time to recurrence: 8 months; interquartile range: 6-19). Median OS was 44 months, and 5-year OS was 41%. The 126 operated patients with non-ruptured HCC had a RR of 59/126 (47%; P=0.576) and a 5-year OS of 61% (P=0.448).

CONCLUSION

RR between ruptured and non-ruptured HCC were similar. Moreover, HCC rupture did not impair OS compared with HCC without rupture.

Indocyanine Green Fluorescence Imaging-Guided Surgery in Primary and Metastatic Liver Tumors

BACKGROUND

After surgery for liver tumors, recurrence rates remain high because of residual positive margins or undiagnosed lesions. It has been suggested that detection of hepatic tumors can be obtained with near-infrared fluorescence imaging (FI). Indocyanine green (ICG) has been used with contrasting results. The aims of this study were to explore ICG-FI-guided surgery methodology and to assess its potential applications.

MATERIALS AND METHODS

Out of 14 patients with liver tumors, 5 were not operated on, and 9 patients (3 primary and 6 metastatic tumors) underwent surgery. ICG (0.5 mg/kg) was injected intravenously 24 hours before surgery. Fluorescence was investigated prior to resection to detect liver lesions, during hepatic transection to guide surgery, on both cross-section and benchtop to assess surgical margins, and for pathological evaluation.

RESULTS

All operations were successful and had a short duration. ICG-FI detected all already known lesions (n = 10), and identified 2 additional small tumors (1 hepatocarcinoma and 1 metastasis, diagnostic improvement = 20%). Two hepatocarcinomas were hyperfluorescent; the remaining one, with a central hypofluorescent area and a hyperfluorescent ring, was indeed a mixed cholangiohepatocarcinoma. All metastatic nodules were hypofluorescent with a hyperfluorescent rim. In all cases, in vivo and ex vivo fluorescence revealed clear liver margins. Postoperative pathological examination greatly benefited of liver fluorescence to assess radicality.

CONCLUSION

ICG-FI-guided surgery was shown to be an effective tool to improve both intraoperative staging and radicality in the surgical treatment of primary and metastatic liver tumors.

Yes-associated protein: A novel molecular target for the diagnosis, treatment and prognosis of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a common type of malignant tumor. The early-diagnosis and treatment options for HCC are limited, which is primarily due to an incomplete understanding of the underlying molecular mechanisms of the disease. Yes-associated protein (YAP) overexpression promotes proliferation and phenotypic transformation of HCC cells. Recently, elucidating the molecular mechanisms of the Hippo/YAP signaling pathway and investigating the interactions between the signaling molecules, as a potential strategy for the treatment of HCC, has become an area of interest. The present review will discuss the role of YAP in HCC pathogenesis, and the significance of YAP in diagnosis, treatment and determining the prognosis.