A Global Risk Score (GRS) to Simultaneously Predict Early and Late Tumor Recurrence Risk after Resection of Hepatocellular Carcinoma

Liver resection for large and huge hepatocellular carcinoma: Predictors of failure, recurrence patterns, and prognoses

BACKGROUND

Characteristic symptoms and signs are often absent in patients with hepatocellular carcinoma (HCC). As a result, many patients are not diagnosed until their tumors have grown to large (> 5cm) or huge sizes (> 10cm). Liver resection has traditionally been reserved for patients with small HCC, but more recently it is being used for patients with large and huge tumors. The aim of this study was to determine risk predictors of recurrence, patterns of recurrence, and survival rates for large and huge HCC patients who underwent curative liver resection.

MATERIALS AND METHODS

We retrospectively identified a subgroup of patients who underwent liver resection for HCC with diameters 5 cm or larger. Overall survival (OS) and recurrence-free survival (RFS) rates were calculated using the Kaplan-Meier method. Univariate and multivariate Cox regression analyses were performed to investigate potential risk factors for recurrence and death.

RESULTS

Among 897 patients, the median follow-up was 48 (range, 5-140) months. The 1-, 3-, and 5-year RFS rates were 51.6%, 36.1%, and 30.1%, respectively, and OS rates were 80.2%, 55.4%, and 47.7%, respectively. Significant independent predictors of recurrence were preoperative satellite nodule (HR = 2.25; 95% CI, 1.17-4.31; p = .02), preoperative AFP levels above 400 ng/ml (HR = 1.23; 95% CI, 1.04-1.45; p = .01), resection margins of 1 cm or less (HR = 1.21; 95% CI, 1.00-1.46; p = .047), cirrhosis (HR = 2.64; 95% CI, 2.13-3.28; p < .001), and microvascular invasion (HR = 1.71; 95% CI, 1.45-2.20; p < .001). All of these except narrow resection margin were also independent risk factors of OS.

CONCLUSIONS

Hepatic resection for patients with large and huge HCC without hepatic vascular invasion, extrahepatic metastases, or severe chronic liver disease results in acceptable long-term outcomes.

Neoadjuvant approaches in hepatocellular carcinoma: There's no time like the present

Hepatocellular carcinoma remains a lethal malignancy and is an increasingly common cause of cancer death worldwide. Curative-intent surgical resection remains the standard of care for eligible patients, yet outcomes remain poor for many patients, with most patients experiencing recurrence in the five years after resection. There is currently significant interest in utilizing locoregional and systemic therapies - in both the neoadjuvant and adjuvant settings - to increase the chance of cure. This review article appraises the existing literature and current clinical trial landscape of neoadjuvant therapies in hepatocellular carcinoma.

Integrated Transcriptomic Analysis Revealed Hub Genes and Pathways Involved in Sorafenib Resistance in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC), a high mortality malignancy, has become a worldwide public health concern. Acquired resistance to the multikinase inhibitor sorafenib challenges its clinical efficacy and the survival benefits it provides to patients with advanced HCC. This study aimed to identify critical genes and pathways associated with sorafenib resistance in HCC using integrated bioinformatics analysis. Differentially expressed genes (DEGs) were identified using four HCC gene expression profiles (including 34 sorafenib-resistant and 29 sorafenib-sensitive samples) based on the robust rank aggregation method and R software. Gene ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool. A protein–protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes (STRING), and small molecules reversing sorafenib resistance were searched for using the connectivity map (CMAP) database. Pearson correlation and survival analyses of hub genes were performed using cBioPortal and Gene Expression Profiling and Interactive Analysis (GEPIA). Finally, the expression levels of hub genes in sorafenib-resistant HCC cells were verified using quantitative polymerase chain reaction (q-PCR). A total of 165 integrated DEGs (66 upregulated and 99 downregulated in sorafenib resistant samples compared sorafenib sensitive ones) primarily enriched in negative regulation of endopeptidase activity, extracellular exosome, and protease binding were identified. Some pathways were commonly shared between the integrated DEGs. Seven promising therapeutic agents and 13 hub genes were identified. These findings provide a strategy and theoretical basis for overcoming sorafenib resistance in HCC patients.

Transplantation in Hepatocellular Carcinoma: Observational Multivariate Analysis of Survival and Recurrence Factors in 414 Patients

BACKGROUND

We sought to identify the risk factors involved in survival of and tumor recurrence in patients with hepatocellular carcinoma (HCC) undergoing liver transplant (LTx).

METHODS

We conducted a retrospective observational study and analyzed the medical records of 414 patients with HCC undergoing deceased donor LTx in São Paulo between January 2007 and December 2011. Multifactorial analysis of survival and recurrence was performed using clinical, laboratory, and pathology data.

RESULTS

The mortality rate was 27.5%; mean survival time was 68.1 months (95% confidence interval, 64.7-71.6); and estimated 1-, 3-, and 5-year survival probabilities were 83.8%, 75.8%, and 71.5%, respectively. Altered donor blood glucose, female sex, vascular invasion, advanced age, high Model for End-Stage Liver Disease, and tumor size were the main risk factors determining survival in LTx recipients. Recurrence was noted in 7.2% of patients during the study period and was more frequent in women (hazard ratio, 2.6). Vascular invasion increased the chance of recurrence by 5.4 times. Each additional 1-year increase in recipient age increased the chance of recurrence by 5.6%, and each 1-mm increase in tumor size increased the chance of recurrence by 3%.

CONCLUSIONS

Risk factors for reduced survival are donor blood glucose, female recipient, older age, increased Model for End-Stage Liver Disease score, and nodule size. Tumor recurrence risk factors are vascular invasion, female sex, recipient age, and nodule size.

Novel Prognostic Nomograms for Predicting Early and Late Recurrence of Hepatocellular Carcinoma After Curative Hepatectomy

Aim

Hepatectomy is the main curative method for patients with hepatocellular carcinoma (HCC) in China. Unfortunately, high recurrence rate after hepatectomy poses negative impact on the prognosis of patients. This study aimed to develop prognostic nomograms to predict early recurrence (ER) and late recurrence (LR) of HCC after curative hepatectomy.

Patients and Methods

Total of 318 HCC patients undergoing curative hepatectomy from January 2012 to January 2018 were retrospectively recruited. Potential risk factors that were significant for predicting ER and LR in univariate analysis were selected for multivariate survival model analysis using the backward stepwise method. Risk factors identified in multivariate analysis were used to develop nomograms to predict ER and LR. The nomogram was internally validated using 2,000 bootstrap samples from 75% of the original data.

Results

Among 318 patients, 164 showed postoperative recurrence, of which 140 and 24 had ER (≤2 years) and LR (>2 years), respectively. Multivariate analysis showed that age, Hong Kong Liver Cancer Stage, albumin-bilirubin, METAVIR fibrosis grade, and microvascular invasion were risk factors of ER for HCC after curative hepatectomy. The AUC of the ROC curve for ER in the development set (D-set) was 0.888 while that in the validation set (V-set) was 0.812. Neutrophil/lymphocyte ratio and glypican-3 (+) were risk factors for LR in HCC patients after curative hepatectomy. The AUC of the ROC curve for LR predictive nomogram that integrated all independent predictors was 0.831. The AUC of the ROC curve for LR in the D-set was 0.833, while that for LR in the V-set was 0.733. The C-index and AUC of ROC for the proposed nomograms were more satisfactory than three conventional HCC staging systems used in this study.

Conclusion

We developed novel nomograms to predict ER and LR of HCC patients after curative hepatectomy for clinical use to individualize follow-up and therapeutic strategies.

Predicting hepatocellular carcinoma recurrences: A data-driven multiclass classification method incorporating latent variables

Hepatocellular carcinoma (HCC), a malignant form of cancer, is frequently treated with surgical resections, which have relatively high recurrence rates. Effective recurrence predictions enable physicians' timely detections and adequate therapeutic measures that can greatly improve patient care and outcomes. Toward that end, predictions of early versus late HCC recurrences should be considered separately to reflect their distinct onset time horizons, clinical causes, underlying clinical etiology, and pathogenesis. We propose a novel Bayesian network-based method to predict different HCC recurrence outcomes by considering the respective recurrence evolution paths. Typical patient information obtained in early stages is insufficiently informative to predict recurrence outcomes accurately, due to the lack of subsequent patient progression information. Our method alleviates such information deficiency constraints by incorporating an independent latent variable, dominant recurrence type, to regulate recurrence outcome predictions (early, late, or no recurrence). We use a real-world HCC data set to evaluate the proposed method, relative to three prevalent benchmark techniques. Overall, the results show that our method consistently and significantly outperforms all the benchmark techniques in terms of accuracy, precision, recall, and F-measures. For increased robustness, we use another data set to perform an out-of-sample evaluation and obtain similar results. This study thus contributes to HCC recurrence research and offers several implications for clinical practice.

Liver resection versus transplantation for multiple hepatocellular carcinoma: a propensity score analysis

The aim of this study was to compare the outcomes of patients with multiple hepatocellular carcinoma (HCCs) after liver resection (LR) versus liver transplantation (LT). Patients who had multiple HCCs without macrovascular invasion and who underwent LT or LR between 2007 and 2013 were reviewed. A propensity score matching model was used to adjust baseline differences between the two groups. A total of 204 patients were selected for the current study, including 137 LR patients and 67 LT patients. During follow-up, 100 patients experienced recurrence, and 78 patients died. The 5-year recurrence-free survival rate was 71.1% for the LT group and 31.1% for the LR group (P<0.001). The 5-year overall survival rate was 73.4% for the LT group and 39.8% for the LR group (P<0.001). Moreover, the LT group had better recurrence-free survival and overall survival rates than the LR group regardless of whether the patients met or exceeded the Milan criteria. The multivariate analysis showed that microvascular invasion and LR were independent risk factors for postoperative recurrence, whereas only LR was associated with an increased incidence of mortality. After applying one-to-one propensity score matching, similar results were observed in the propensity score matching model. Our study suggested that LT provided a better prognosis for patients with multiple HCCs than LR regardless of whether the patients met the Milan criteria.