Management of intrahepatic recurrence after resection for hepatocellular carcinoma exceeding the barcelona clinic liver cancer criteria

The tumor microenvironment in the postsurgical liver: Mechanisms and potential targets of postoperative recurrence in human hepatocellular carcinoma

Surgery remains to be the mainstay of treatment for hepatocellular carcinoma (HCC). Nonetheless, its therapeutic efficacy is significantly impaired by postoperative recurrence, which occurs in more than half of cases as a result of intrahepatic metastasis or de novo tumorigenesis. For decades, most therapeutic strategies on inhibiting postoperative HCC recurrence have been focused on the residual tumor cells but satisfying therapeutic outcomes are barely observed in the clinic. In recent years, a better understanding of tumor biology allows us to shift our focus from tumor cells toward the postoperative tumor microenvironment (TME), which is gradually identified to play a pivotal role in tumor recurrence. In this review, we describe various surgical stress and surgical perturbation on postoperative TME. Besides, we discuss how such alternations in TME give rise to postoperative recurrence of HCC. Based on its clinical significance, we additionally highlight the potential of the postoperative TME as a target for postoperative adjuvant therapeutics.

Genipin-activating PPARγ impedes CCR2-mediated macrophage infiltration into postoperative liver to suppress recurrence of hepatocellular carcinoma

A high postoperative tumour recurrence rate has significantly rendered a poorer prognosis in hepatocellular carcinoma (HCC) patients. The aim of this study is to identify a natural compound genipin as a potential and effective candidate to suppress the postoperative recurrence of HCC. Clinical analysis revealed that infiltration of macrophage into the adjacent tissue but not HCC predicted patients' poor prognosis on recurrence-free survival. Genipin intervention suppressed the Ly6C+CD11b+F4/80+ pro-inflammatory macrophage infiltration in the postoperative liver of mice. Adoptive transfer of pro-inflammatory monocytic cells completely abolished the inhibitory effect of genipin on HCC recurrence. Transcriptomic analysis on FACs-sorted macrophages from the postoperative livers of mice revealed that PPARγ signalling was involved in the regulatory effect of genipin. Genipin is directly bound to PPARγ, causing PPARγ-induced p65 degradation, which in turn suppressed the transcriptional activation of CCR2 signalling. PPARγ antagonist GW9662 abrogated the effects of genipin on CCR2-medaited macrophage infiltration as well as HCC recurrence. Cytokine array analysis identified that genipin intervention potently suppressed the secretion of CCL2 further partially contributed to the pro-inflammatory macrophage infiltration into the postoperative liver. Multiplex immunostaining on tissue array of human HCC revealed that PPARγ expression was inversely associated with CCL2 and the macrophage infiltration in the adjacent liver of HCC patients. Our works provide scientific evidence for the therapeutic potential of genipin as a PPARγ agonist in preventing postoperative recurrence of HCC.

The Role of Artificial Intelligence in the Detection and Implementation of Biomarkers for Hepatocellular Carcinoma: Outlook and Opportunities

Liver cancer is a leading cause of cancer-related death worldwide, and its early detection and treatment are crucial for improving morbidity and mortality. Biomarkers have the potential to facilitate the early diagnosis and management of liver cancer, but identifying and implementing effective biomarkers remains a major challenge. In recent years, artificial intelligence has emerged as a promising tool in the cancer sphere, and recent literature suggests that it is very promising in facilitating biomarker use in liver cancer. This review provides an overview of the status of AI-based biomarker research in liver cancer, with a focus on the detection and implementation of biomarkers for risk prediction, diagnosis, staging, prognostication, prediction of treatment response, and recurrence of liver cancers.

Clinical Outcome of CT-Guided Iodine-125 Radioactive Seed Implantation for Intrahepatic Recurrent Hepatocellular Carcinoma: A Retrospective, Multicenter Study

The efficacy and safety of CT-Guided Iodine-125 Radioactive Seed Implantation (RSI) for the treatment of intrahepatic recurrent hepatocellular carcinoma (rHCC) were analyzed in this multicenter retrospective study. We reviewed the medical records of patients with rHCC treated with I-125 seed implantation at four different hospitals in China from December 2011 and January 2021. The local progression-free survival (LPFS),liver PFS, and overall survival (OS) were calculated, and the short-term efficacy and treatment-related toxicities were evaluated. A total of 82 patients were enrolled; the median follow-up time was 46 months (range, 3–80 months). The 1-, 3- and 5-year LPFS rates were 63.8%, 27.1%, and 7.9%, respectively, and the corresponding OS rates were 74.8%, 32.9%, and 12.6%, respectively. Univariate analysis showed that factors influencing LPFS included the maximum lesion diameter, Barcelona Clinic Liver Cancer (BCLC) stage, interval between treatment and recurrence, and D90. Multivariate analyses revealed that the BCLC stage, interval between treatment and recurrence, and D90 were independent factors influencing LPFS, whereas BCLC stage, D90, and short-term efficacy were independent factors influencing OS. In summary, I-125 seed implantation is a safe and effective treatment for rHCC. The BCLC stage, interval, and D90 were found to influence the local control. A larger, prospective study is required to confirm the dose-response curve for Iodine-125 RSI of rHCC.

Amphiregulin as a novel diagnostic and prognostic biomarker of hepatocellular carcinoma before and after locoregional treatment

Background

Hepatocellular carcinoma is a highly prevalent tumor worldwide. Amphiregulin is a ligand of the epidermal growth factor receptor. Its elevation is linked to different inflammatory and neoplastic conditions. Therefore, amphiregulin may represent a potential diagnostic target in HCC, which has sparked interest as a potential predictor of diagnosis and progression of HCC. The current work was set out to evaluate amphiregulin as a possible diagnostic and prognostic biomarker for HCC on top of cirrhosis. Thirty adult patients with liver cirrhosis and HCC (HCC group) were randomly selected as candidates for locoregional therapies, either radiofrequency ablation or transarterial chemoembolization. A separate group of thirty liver cirrhosis patients served as controls (cirrhosis group). All patients underwent standard laboratory tests and abdominal ultrasounds. Alpha-fetoprotein and amphiregulin were measured twice at baseline and 1 month after the intervention.

Results

Baseline serum amphiregulin was significantly higher in the HCC group than in the cirrhosis group (23.2 ± 11.5 vs. 11.1 ± 7.1), with a p value < 0.001. Patients with multiple and larger focal lesions had greater levels of amphiregulin, with p values of 0.015 and 0.002, respectively. At 1 month following locoregional treatment, the amphiregulin level considerably declined compared with its baseline levels (from 23.2 ± 11.5 to 19.4 ± 10.9), with a p value of 0.012, while AFP showed an insignificant reduction. At follow-up, the level of serum amphiregulin was statistically significantly greater in recurrence cases than in remission cases (30.8 ± 14.1 vs. 17.2 ± 8.8), with a p value of 0.008, and the same was observed for AFP level.

At a cutoff ≥ 17 pg/mL, amphiregulin was a valuable marker in HCC detection with a sensitivity and specificity of 63.3% and 86.7%, respectively, while it has 60% sensitivity and 96% specificity in detecting possible tumor recurrence at a cutoff ≥ 29.7 pg/ml.

Conclusions

Amphiregulin may be a good diagnostic marker for HCC and a prognostic marker after locoregional therapies because its follow-up levels are useful in predicting possible tumor recurrence.

Bioinformatic Analysis to Identify a Multi-mRNA Signature for the Prediction of Metastasis in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) with metastasis indicates worse prognosis for patients. However, the current methods are insufficient to accurately predict HCC metastasis at early stage. Based on the expression profiles of three Gene Expression Omnibus datasets, the differentially expressed genes associated with HCC metastasis were screened by online analytical tool GEO2R and weighted gene co-expression network analysis. Second, a risk score model including 27-mRNA was established by univariate Cox regression analyses, time-dependent ROC curves and least absolute shrinkage and selection operator Cox regression analysis. Then, we validated the model in cohort The Cancer Genome Atlas-liver hepatocellular carcinoma and analyzed the functions and key signaling pathways of the genes associated with the risk score model. According to the risk score model, patients were divided into two subgroups (high risk and low risk groups). The metastasis rate between two subgroups was significantly different in training cohort (p < 0.0001, hazard ratio [HR]: 10.3, confidence interval [95% CI]: 6.827-15.55) and external validation cohort (p = 0.0008, HR: 1.768, 95% CI: 1.267-2.467). Multivariable analysis showed that the risk score model was superior to and independent of other clinical factors (such as tumor stage, tumor size, and other parameters) in predicting early HCC metastasis. Moreover, the risk score model could predict the overall survival of patients with HCC. Finally, most of 27-mRNA were enriched in exosome and membrane bounded organelle, and these were involved in transportation and metabolic biological process. Protein-protein interaction network analysis showed most of these genes might be key genes affecting the progression of HCC. In addition, 3 genes of 27-mRNA were also differentially expressed in peripheral blood mononuclear cell. In conclusion, by using two combined methods and a broader of HCC datasets, our study provided reliable and superior predictive model for HCC metastases, which will facilitate individual medical management for these high metastatic risk HCC patients.

Identification of biomarkers for Barcelona Clinic Liver Cancer staging and overall survival of patients with hepatocellular carcinoma

The aim of the current study was to identify biomarkers that correlate with the Barcelona Clinic Liver Cancer (BCLC) staging system and prognosis of patients with hepatocellular carcinoma (HCC). We downloaded 4 gene expression datasets from the Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo), and screened for genes that were differentially expressed between HCC and normal liver tissues, using significance analysis of the microarray algorithm. We used a weighted gene co-expression network analysis (WGCNA) to identify hub genes that correlate with BCLC staging, functional enrichment analysis to associate hub genes with their functions, protein-protein interaction network analysis to identify interactions among hub genes, UALCAN analysis to assess gene expression levels based on tumour stage, and survival analyses to clarify the effects of hub genes on patients’ overall survival (OS). We identified 50 relevant hub genes using WGCNA; among them, 13 genes (including TIGD5, C8ORF33, NUDCD1, INSB8, and STIP1) correlated with OS and BCLC staging. Significantly enriched gene ontology biological process terms included RNA processing, non-coding RNA processing and phosphodiester bond hydrolysis, and 6 genes were found to interact with 10 or more hub genes. We identified several candidate biomarkers that correlate with BCLC staging and OS of HCC. These genes might be used for prognostic assessment and selection of HCC patients for surgery, especially those with intermediate or advanced disease.

Proposal for subclassification to select patients for hepatectomy with intermediate hepatocellular carcinoma and Child-Pugh A liver function: A double-center study from China

Increasing evidence has shown that hepatectomy provides a longer overall survival (OS) for patients with hepatocellular carcinoma (HCC) in the intermediate stage. Unfortunately, not all patients benefit from liver resection, even if hepatectomy is feasible. This study aimed to propose a subclassification to select patients for surgical resection.OS of patients with intermediate-stage HCC who underwent hepatectomy at Beijing Friendship Hospital or Peking Union Medical College Hospital were reviewed. Patients were divided into 2 groups based on the results of survival analysis. The prognosis of these patients was compared with that in those who were treated by trans-arterial chemoembolization (TACE) in each subgroup.A total of 259 patients with intermediate-stage HCC who were initially treated by hepatectomy were included. Multivariate analysis showed that cumulative tumor size and tumor number independently affected tumor recurrence and survival time of these patients. Patients were then divided into group A (tumor size <11 cm and tumor number < 4; n = 205) and group B (tumor size ≥11 cm and tumor number ≥ 4; n = 54). Multivariate analysis showed that hepatectomy was independently associated with longer OS compared with TACE in patients in group A (hazard ratio = 0.67, 95% confidence interval = 0.49-0.90), but not in group B.Surgical management of intermediate-stage HCC should be performed with more complexity than current practice. Hepatic resection could be considered as the first-line treatment only for patients with HCC who have a cumulative tumor size of less than 11 cm and <4 tumors.