[A new prognostic score system of hepatocellular carcinoma following hepatectomy]

Clinical Efficacy and Safety of an Immune Checkpoint Inhibitor in Combination with Regorafenib Therapy as Second-Line Regimen for Patients with Unresectable Hepatocellular Carcinoma

Purpose

This study aimed to evaluate the safety and efficacy of a combination of programmed death-1 (PD-1) inhibitor and regorafenib as second-line treatment for advanced hepatocellular carcinoma (HCC).

Patients and Methods

We retrospectively analyzed the data of 38 patients with unresectable HCC who were treated with PD-1 inhibitor in combination with regorafenib as a second⁃line therapy as well as the data of 32 patients treated with regorafenib only therapy as a control. The clinical data, previous treatment strategies, follow-up imaging results, and adverse events during follow-ups were recorded. The mRECIST Criteria were used to evaluate the treatment outcome of intrahepatic lesions, and the Kaplan-Meier method was used to evaluate survival time.

Results

Up to the last follow-up, the rego-PD-1 group had higher objective response rate (39.5% vs 15.6%, P = 0.028), longer progression-free survival (median 5.9 vs 4.6 months; P = 0.044), and better overall survival (OS) (median 14.5 vs 9.5 months; P = 0.041) than the regorafenib only group. Among the 38 patients in rego-PD-1 group, 1 patient (2.7%) achieved complete response, 14 patients (36.8%) achieved partial response, 14 patients (36.8%) achieved stable disease, and 9 patients (23.7%) achieved progressive disease. Among the 32 patients in regorafenib alone, 5 (15.6%) achieved partial response, 12 (37.5%) achieved stable disease, and 15 (46.9%) achieved progressive disease. Regorafenib alone, Child-Pugh B, and tumors >3 were independent prognostic factors for poor OS. The difference in the incidence of grade 3/4 adverse events between the two groups was not statistically significant (36.8% vs 28.1%; P = 0.439). Grade ≥3 treatment-related adverse events included hypertension and diarrhea.

Conclusion

PD-1 inhibitor combined with regorafenib is a promising regimen in treating patients with unresectable HCC owing to its safety and effectiveness as well as low incidence of serious adverse events with its use.

Individualized risk estimation for postoperative pulmonary complications after hepatectomy based on perioperative variables

BACKGROUND

At present, there is no perfect system to evaluate pulmonary complications of liver surgery using perioperative variables.

AIM

To design and verify a risk assessment system for predicting postoperative pulmonary complications (PPCs) after hepatectomy based on perioperative variables.

METHODS

A retrospective analysis was performed on 1633 patients who underwent liver surgery. The variables were screened using univariate and multivariate analyses, and graded scores were assigned to the selected variables. Logistic regression was used to develop the liver operation pulmonary complication scoring system (LOPCSS) for the prediction of PPCs. The LOPCSS was verified using the receiver operating characteristic curve.

RESULTS

According to the multivariate correlation analysis, the independent factors which influenced PPCs of liver surgery were age [≥ 65 years old/< 65 years old, odds ratio (OR) = 1.926, P = 0.011], medical diseases requiring drug treatment (yes/no, OR = 3.523, P < 0.001), number of liver segments to be removed (≥ 3/≤ 2, OR = 1.683, P = 0.002), operation duration (≥ 180 min/< 180 min, OR = 1.896, P = 0.004), and blood transfusion (yes/no, OR = 1.836, P = 0.003). The area under the curve (AUC) of the LOPCSS was 0.742. The cut-off value of the expected score for complications was 5. The incidence of complications in the group with ≤ 4 points was significantly lower than that in the group with ≥ 6 points (2.95% vs 33.40%, P < 0.001). Furthermore, in the validation dataset, the corresponding AUC of LOPCSS was 0.767.

CONCLUSION

As a novel and simplified assessment system, the LOPCSS can effectively predict PPCs of liver surgery through perioperative variables.

Diagnostic and prognostic nomograms for bone metastasis in hepatocellular carcinoma

Background

Bone metastasis (BM) is one of the common sites of hepatocellular carcinoma (HCC), and the prognosis of BM patients is worse than patients without it. Our study aimed to identify predictors and prognostic factors of BM in HCC patients and develop two nomograms to quantify the risk of BM and the prognosis of HCC patients with BM.

Methods

We retrospectively reviewed the data of patients who were diagnosed as HCC between 2010 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Independent predictors for BM from HCC patients were determined by the univariate and multivariate logistic regression analysis. Independent prognostic factors for HCC patients with BM were identified by univariate and multivariate Cox regression analysis. Two nomograms were established and evaluated by calibration curves, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).

Results

Nine thousand and forty-seven patients were included. The independent risk factors of BM in newly diagnosed HCC patients are sex, grade, T stage, and N stage. The independent prognostic factors for HCC patients with BM are radiotherapy, chemotherapy, and lung metastasis. The AUC of diagnostic nomogram were 0.726 in the training set and 0.629 in the testing set. For the prognostic nomogram, the AUCs of 6-, 9-, and 12-months were 0.753, 0.799, and 0.732 in the training set and 0.698, 0.770, and 0.823 in the validation set. The calibration curve and DCA indicated the good performance of the nomogram.

Conclusions

Two nomograms were established to predict the incidence of BM in HCC patients and the prognosis of HCC patients with BM, respectively. Both nomograms have satisfactory accuracy, and clinical utility may benefit for clinical decision-making.

Hepatocellular carcinoma in non-cirrhotic liver: A comprehensive review

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, which in turns accounts for the sixth most common cancer worldwide. Despite being the 6^th most common cancer it is the second leading cause of cancer related deaths. HCC typically arises in the background of cirrhosis, however, about 20% of cases can develop in a non-cirrhotic liver. This particular subgroup of HCC generally presents at an advanced stage as surveillance is not performed in a non-cirrhotic liver. HCC in non-cirrhotic patients is clinically silent in its early stages because of lack of symptoms and surveillance imaging; and higher hepatic reserve in this population. Interestingly, F3 fibrosis in non-alcoholic fatty liver disease, hepatitis B virus and hepatitis C virus infections are associated with high risk of developing HCC. Even though considerable progress has been made in the management of this entity, there is a dire need for implementation of surveillance strategies in the patient population at risk, to decrease the disease burden at presentation and improve the prognosis of these patients. This comprehensive review details the epidemiology, risk factors, clinical features, diagnosis and management of HCC in non-cirrhotic patients and provides future directions for research.