The outcome of the HCC patients underwent ALPPS: Retrospective study

Neoadjuvant Therapy for Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is characterized by low resection and high postoperative recurrence rates, and conventional treatment strategies have failed to meet clinical needs. Neoadjuvant therapy (NAT) is widely employed in the routine management of several solid tumors because it increases resectability and reduces the rate of postoperative recurrence. However, a consensus has not been reached regarding the effects of NAT on HCC. As systemic therapy, particularly targeted therapy and immunotherapy, is given for HCC treatment, accumulating evidence shows that the “spring” of NAT for HCC is imminent. In the future, HCC researchers should focus on identifying biomarkers for treatment response, explore the mechanisms of resistance, and standardize the endpoints of NAT.

Systematic Reviews and Meta-Analyses of Portal Vein Embolization, Associated Liver Partition and Portal Vein Ligation, and Radiation Lobectomy Outcomes in Hepatocellular Carcinoma Patients

PURPOSE OF REVIEW

To understand portal vein embolization (PVE), associated liver partition and portal vein ligation (ALPPS) and radiation lobectomy (RL) outcomes in hepatocellular carcinoma (HCC) patients. Systematic reviews of future liver remnant (FLR) percent hypertrophy, proportion undergoing hepatectomy and proportion with major complications following PVE, ALPPS, and RL were performed by searching Ovid MEDLINE, Ovid EMBASE, The Cochrane Library, and Web of Science. Separate meta-analyses using random-effects models with assessment of study heterogeneity and publication bias were performed whenever allowable by available data.

RECENT FINDINGS

Of the 10,616 articles screened, 21 articles with 636 subjects, 4 articles with 65 subjects, and 4 articles with 195 subjects met the inclusion criteria for systematic reviews and meta-analyses for PVE, ALPPS, and RL, respectively. The pooled estimate of mean percent FLR hypertrophy was 30.9% (95%CI: 22-39%, Q = 4034.8, p < 0.0001) over 40.3 +/- 26.3 days for PVE, 54.9% (95%CI: 36-74%, Q = 73.8, p < 0.0001) over 11.1 +/- 3.1 days for ALPPS, and 29.0% (95%CI: 23-35%, Q = 56.2, p < 0.0001) over 138.5 +/- 56.5 days for RL. The pooled proportion undergoing hepatectomy was 91% (95%CI: 83-95%, Q = 43.9, p = 0.002) following PVE and 98% (95%CI: 50-100%, Q = 0.0, p = 1.0) following ALPPS. The pooled proportion with major complications was 5% (95%CI: 2-10%, Q = 7.3, p = 0.887) following PVE and 38% (95%CI: 18-63%, Q = 10.0, p = 0.019) following ALPPS. Though liver hypertrophy occurs following all three treatments in HCC patients, PVE balances effective hypertrophy with a short time frame and low major complication rate.

Hepatic Arterioportal Fistula Is Associated with Decreased Future Liver Remnant Regeneration after Stage-I ALPPS for Hepatocellular Carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) patients often developed hepatic arterioportal fistula (APF). The aim of this study is to evaluate the impact of APF on future liver remnant (FLR) regeneration and surgical outcomes after the first stage of associating liver partition and portal vein ligation for staged hepatectomy (stage-I ALPPS).

METHODS

Consecutive HCC patients who underwent ALPPS at our center between March 2017 and May 2019 were retrospectively studied. Data for the association between APF and clinicopathological details, liver volume, and surgical outcomes were analyzed.

RESULTS

The enrolled 35 HCC patients were divided into three groups: 15 patients with preoperative APF were classified as the APF I group, 10 patients developed APF after stage-I ALPPS as the APF II group, whereas the other 10 patients without APF before and after stage-I ALPPS as the control group. After stage-I ALPPS, patients in the APF I and APF II groups had lower kinetic growth rate (KGR) of FLR volume (6.1±3.2%, 11.4±8.4%, 25.0±8.8% per week, respectively, P<0.001) and took longer median time to reach the sufficient FLR volume for stage-II ALPPS (17.5 days, 12 days, 6 days, respectively, P<0.001) than those in the control group. Meanwhile, the incidence of posthepatectomy liver failure (PHLF) in the APF I and APF II groups was significantly higher than that of the control group (P=0.007). There are 27 (77.1%) patients who completed stage-II ALPPS. The overall survival (OS) rates at 1 and 3 years were 59.3% and 35.1%, whereas the disease-free survival (DFS) rates at 1 and 3 years were 44.4% and 22.9%, respectively.

CONCLUSIONS

Hepatic APF is significantly associated with decreased FLR regeneration and a higher risk of PHLF after stage-I ALPPS. HCC patients who are to undergo ALPPS may benefit from the timely perioperative intervention of APF.

A nomogram for prediction of early allograft dysfunction in living donor liver transplantation

Liver transplantation is the treatment of choice for end-stage liver diseases. However, early allograft dysfunction (EAD) is frequently encountered and associated with graft loss or mortality after transplantation. This study aimed to establish a predictive model of EAD after living donor liver transplantation. A total of 77 liver transplants were recruited to the study. Multivariate analysis was utilized to identify significant risk factors for EAD. A nomogram was constructed according to the contributions of the risk factors. The predictive values were determined by discrimination and calibration methods. A cohort of 30 patients was recruited to validate this predictive model. Four independent risk factors, including donor age, intraoperative blood loss, preoperative alanine aminotransferase (ALT), and reperfusion total bilirubin, were identified and used to build the nomogram. The c-statistics of the primary cohort and the validation group were 0.846 and 0.767, respectively. The calibration curves for the probability of EAD presented an acceptable agreement between the prediction by the nomogram and the actual incidence. In conclusion, the study developed a new nomogram for predicting the risk of EAD following living donor liver transplantation. This model may help clinicians to determine individual risk of EAD following living donor liver transplantation.