IMPORTANCE Sorafenib is the first-line treatment for hepatocellular carcinoma with portal vein invasion; however, it has shown unsatisfactory survival benefit. Sorafenib plus hepatic arterial infusion chemotherapy (HAIC) of oxaliplatin, fluorouracil, and leucovorin (FOLFOX) has shown promising results for these patients in a previous phase 2 study.OBJECTIVE To investigate the efficacy and safety of sorafenib plus HAIC compared with sorafenib for hepatocellular carcinoma with portal vein invasion. DESIGN, SETTING, AND PARTICIPANTSThis randomized, open-label clinical trial enrolled 818 screened patients. Of the 818 participants, 247 with hepatocellular carcinoma and portal vein invasion were randomly assigned (1:1) via a computer-generated sequence to receive sorafenib plus HAIC or sorafenib. This trial was conducted at 5 hospitals in China and enrolled patients from April 1, 2016, to October 10, 2017, with a follow-up period of 10 months.INTERVENTIONS Randomization to receive 400 mg sorafenib twice daily (sorafenib group) or 400 mg sorafenib twice daily plus HAIC (SoraHAIC group) (oxaliplatin 85 mg/m 2 , leucovorin 400 mg/m 2 , fluorouracil bolus 400 mg/m 2 on day 1, and fluorouracil infusion 2400 mg/m 2 for 46 hours, every 3 weeks). MAIN OUTCOMES AND MEASURESThe primary endpoint was overall survival by intention-to-treat analysis. Safety was assessed in patients who received at least 1 dose of study treatment.RESULTS For 247 patients (median age, 49 years; range, 18-75 years; 223 men and 24 women), median overall survival was 13.37 months (95% CI, 10.27-16.46) in the SoraHAIC group vs 7.13 months (95% CI, 6.28-7.98) in the sorafenib group (hazard ratio [HR], 0.35; 95% CI, 0.26-0.48; P < .001). The SoraHAIC group showed a higher response rate than the sorafenib group (51 [40.8%] vs 3 [2.46%]; P < .001), and a longer median progression-free survival (7.03 [95% CI, 6.05-8.02] vs 2.6 [95% CI, 2.15-3.05] months; P < .001). Grade 3/4 adverse events that were more frequent in the SoraHAIC group than in the sorafenib group included neutropenia (12 [9.68%] vs 3 [2.48%]), thrombocytopenia (16 [12.9%] vs 6 [4.96%]), and vomiting (8 [6.45%] vs 1 [0.83%]).CONCLUSIONS AND RELEVANCE Sorafenib plus HAIC of FOLFOX improved overall survival and had acceptable toxic effects compared with sorafenib in patients with hepatocellular carcinoma and portal vein invasion.

BackgroundWe attempted to train and validate a model of deep learning for the preoperative prediction of the response of patients with intermediate-stage hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE).MethodAll computed tomography (CT) images were acquired for 562 patients from the Nan Fang Hospital (NFH), 89 patients from Zhu Hai Hospital Affiliated with Jinan University (ZHHAJU), and 138 patients from the Sun Yat-sen University Cancer Center (SYUCC). We built a predictive model from the outputs using the transfer learning techniques of a residual convolutional neural network (ResNet50). The prediction accuracy for each patch was revaluated in two independent validation cohorts.ResultsIn the training set (NFH), the deep learning model had an accuracy of 84.3% and areas under curves (AUCs) of 0.97, 0.96, 0.95, and 0.96 for complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD), respectively. In the other two validation sets (ZHHAJU and SYUCC), the deep learning model had accuracies of 85.1% and 82.8% for CR, PR, SD, and PD. The ResNet50 model also had high AUCs for predicting the objective response of TACE therapy in patches and patients of three cohorts. Decision curve analysis (DCA) showed that the ResNet50 model had a high net benefit in the two validation cohorts.ConclusionThe deep learning model presented a good performance for predicting the response of TACE therapy and could help clinicians in better screening patients with HCC who can benefit from the interventional treatment.Key Points• Therapy response of TACE can be predicted by a deep learning model based on CT images. • The probability value from a trained or validation deep learning model showed significant correlation with different therapy responses. • Further improvement is necessary before clinical utilization. Electronic supplementary materialThe online version of this article (10.1007/s00330-019-06318-1) contains supplementary material, which is available to authorized users.

PURPOSE Camrelizumab is an antibody against programmed death protein 1. We assessed the activity and safety of camrelizumab plus apatinib, a tyrosine kinase inhibitor of vascular endothelial growth factor receptor-2, in patients with advanced cervical cancer. METHODS This multicenter, open-label, single-arm, phase II study enrolled patients with advanced cervical cancer who progressed after at least one line of systemic therapy. Patients received camrelizumab 200 mg every 2 weeks and apatinib 250 mg once per day. The primary end point was objective response rate (ORR) assessed by investigators per RECIST version 1.1. Key secondary end points were progression-free survival (PFS), overall survival (OS), duration of response, and safety. RESULTS Forty-five patients were enrolled and received treatment. Median age was 51.0 years (range, 33-67 years), and 57.8% of patients had previously received two or more lines of chemotherapy for recurrent or metastatic disease. Ten patients (22.2%) had received bevacizumab. Median follow-up was 11.3 months (range, 1.0-15.5 months). ORR was 55.6% (95% CI, 40.0% to 70.4%), with two complete and 23 partial responses. Median PFS was 8.8 months (95% CI, 5.6 months to not estimable). Median duration of response and median OS were not reached. Treatment-related grade 3 or 4 adverse events (AEs) occurred in 71.1% of patients, and the most common AEs were hypertension (24.4%), anemia (20.0%), and fatigue (15.6%). The most common potential immune-related AEs included grade 1-2 hypothyroidism (22.2%) and reactive cutaneous capillary endothelial proliferation (8.9%). CONCLUSION Camrelizumab plus apatinib had promising antitumor activity and manageable toxicities in patients with advanced cervical cancer. Larger randomized controlled trials are warranted to validate our findings.

RFA is inferior to MWA for treating HCC within the Milan criteria, but has comparable efficacy to MWA for solitary HCC ≤ 3 cm.

PurposeHepatocellular carcinoma (HCC) is an aggressive disease with high recurrence rate. However, current staging systems were lack of predictive capacity for HCC recurrence. We aimed to develop prognostic nomograms based on inflammation-related markers for HCC patients underwent hepatectomy.Materials and MethodsWe recruited 889 surgically treated patients from two medical centers. Independent prognostic factors were identified by cox regression analyses. Nomograms for recurrence-free survival (RFS) and overall survival (OS) were established, and validated internally and externally. The performance, discrimination, and calibration of nomograms were assessed, and compared with existed staging systems.ResultsNeutrophil to lymphocyte ratio (NLR) and gamma-glutamyl transpeptidase to platelet ratio (GPR) were the two inflammation-related factor that independently correlated with survival. NLR, GPR, international normalized ratio (INR), microvascular invasion, satellite lesions, tumour number, tumour diameter, and macrovascular invasion were used to construct nomogram for RFS while GPR, total bilirubin, INR, α-fetoprotein, microvascular invasion, satellite lesions, tumour diameter, and macrovascular invasion were for OS. In the training cohort, the C-index of nomogram was 0.701 (95% confidence interval [CI], 0.669 to 0.732) for RFS and 0.761 (95% CI, 0.728 to 0.795) for OS. These results received both internal and external validation with C-index of 0.701 (95% CI, 0.647 to 0.755) and 0.707 (95% CI, 0.657 to 0.756) for RFS, and 0.706 (95% CI, 0.640 to 0.772) and 0.708 (95% CI, 0.646 to 0.771) for OS, respectively. The nomograms showed superior accuracy to conventional staging systems (p<0.001).ConclusionThe nomograms based on inflammation-related markers are of high efficacy in predicting survival of HCC patients after hepatectomy, which will be valuable in guiding postoperative interventions and follow-ups.