Background: The long-term survival of patients with hepatocellular carcinoma (HCC) with portal vein tumour thrombus (PVTT) is poor. Systemic therapy, transcatheter arterial chemoembolization (TACE), and hepatic artery infusion chemotherapy are widely used in HCC patients with PVTT. This study aims to explore the efficacy of combining systemic therapy with transarterial-based therapy in HCC patients with PVTT. Materials and methods: The authors retrospectively reviewed data of HCC patients with PVTT treated with combination therapy (TACE-hepatic artery infusion chemotherapy with tyrosine kinase inhibitors and PD-1 inhibitors) or TACE alone in SYSUCC from 2011 to 2020. The overall survival (OS), progression-free survival, and overall response rate were compared. Propensity score matching was used to minimize confounding bias. Results: A total of 743 HCC patients with PVTT received combination therapy (n=139) or TACE alone (n=604). After propensity score matching, the overall response rate was significantly higher in the combination group than in the TACE group [42.1% vs. 5.0%, P < 0.001 (response evaluation criteria in solid tumours); 53.7% vs. 7.8%, P < 0.001 (modified response evaluation criteria in solid tumours)]. The combination group showed significantly better OS than the TACE group (median OS not reached vs. 10.4 months, P < 0.001). The median progression-free survival of the combination and TACE groups was 14.8 and 2.3 months (P < 0.001), respectively. Tumour downstaging followed by salvage liver resection was significantly more common for the combination therapy group than for TACE group (46.3% vs. 4.5%, P < 0.001). After salvage liver resection, 31.6% (30/95) and 1.7% (3/179) of the patients achieved a pathological complete response in the combination and TACE groups, respectively (P < 0.001). The grade 3/4 adverse events rates were similar between the two groups (28.1% vs. 35.9%, P=0.092). Conclusion: Compared with TACE alone, combination therapy was safe enough and resulted in survival benefits. This is a promising treatment option for HCC patients with PVTT.

Purpose: Early-stage hepatocellular carcinoma (E-HCC) is being diagnosed increasingly, and in one half of diagnosed patients, recurrence will develop. Thus, it is urgent to identify recurrence-related markers. We investigated the effectiveness of CpG methylation in predicting recurrence for patients with E-HCCs. Patients and Methods: In total, 576 patients with E-HCC from four independent centers were sorted by three phases. In the discovery phase, 66 tumor samples were analyzed using the Illumina Methylation 450k Beadchip. Two algorithms, Least Absolute Shrinkage and Selector Operation and Support Vector Machine-Recursive Feature Elimination, were used to select significant CpGs. In the training phase, penalized Cox regression was used to further narrow CpGs into 140 samples. In the validation phase, candidate CpGs were validated using an internal cohort (n = 141) and two external cohorts (n = 191 and n =104). Results: After combining the 46 CpGs selected by the Least Absolute Shrinkage and Selector Operation and the Support Vector Machine-Recursive Feature Elimination algorithms, three CpGs corresponding to SCAN domain containing 3, Src homology 3-domain growth factor receptor-bound 2-like interacting protein 1, and peptidase inhibitor 3 were highlighted as candidate predictors in the training phase. On the basis of the three CpGs, a methylation signature for E-HCC (MSEH) was developed to classify patients into high- and low-risk recurrence groups in the training cohort ( P < .001). The performance of MSEH was validated in the internal cohort ( P < .001) and in the two external cohorts ( P < .001; P = .002). Furthermore, a nomogram comprising MSEH, tumor differentiation, cirrhosis, hepatitis B virus surface antigen, and antivirus therapy was generated to predict the 5-year recurrence-free survival in the training cohort, and it performed well in the three validation cohorts (concordance index: 0.725, 0.697, and 0.693, respectively). Conclusion: MSEH, a three-CpG–based signature, is useful in predicting recurrence for patients with E-HCC.

Background: Metastasis-associated in colon cancer-1 (MACC1) is a newly identified gene that plays a role in colon cancer metastasis through upregulation of c-MET proto-oncogene (c-MET). However, the value of MACC1 as a potential biomarker for hepatocellular carcinoma (HCC) remains unknown. Methods: MACC1 mRNA expression in 128 HCC tissues was examined by quantitative polymerase chain reaction. To show the potential correlation of MACC1 and c-MET, c-MET was also analysed. Results: MACC1 was more highly expressed in HCC than in non-HCC tissues (P = 0.009). High MACC1 expression was significantly increased in cases with high alpha fetoprotein (AFP) (P = 0.025). A positive correlation was found between MACC1 and c-MET mRNAs (r = 0.235, P = 0.009). Both univariate and multivariate analyses revealed that MACC1 expression was associated with overall survival (OS) and disease-free survival (DFS). Moreover, stratified analysis showed that tumour-node-metastasis (TNM) stage I patients with high MACC1 levels had shorter OS and DFS than those with low MACC1. Conclusions: MACC1 may identify low- and high-risk individuals with HCC and be a valuable indicator for stratifying the prognosis of TNM stage I patients. MACC1 may serve as a novel biomarker for HCC.

To develop prognostic nomograms for patients undergoing hepatectomy for multiple hepatocellular carcinomas (mHCCs). The prognostic prediction after hepatectomy for mHCCs has not been well established. A training cohort (n = 540) was analyzed to construct 2 nomograms based separately on data obtained before and after hepatectomy for mHCCs at the Eastern Hepatobiliary Surgery Hospital between 2000 and 2006. The internal and external validations were performed in 2 independent cohorts (n = 180 each) collected from the Eastern Hepatobiliary Surgery Hospital between 2007 and 2010 and the Sun Yat-Sen University between 2000 and 2007. The predictive accuracy was measured by concordance index (C-index) and calibration curve. Serum α-fetoprotein level, hepatitis B virus deoxyribonucleic acid load, end-stage liver disease score, tumor number, total tumor diameter, and the ratio of largest to smallest tumor diameter were incorporated into the preoperative nomogram for overall survival (OS) prediction. In addition to these variables, microvascular invasion, tumor capsule, type of hepatectomy, and local invasion/metastasis were incorporated into the postoperative nomogram. All calibration curves for probability of OS fitted well. In the training cohort, the preoperative nomogram achieved a C-index of 0.75 (95% confidence interval, 0.72-0.78) in predicting OS and accurately stratified patients into 4 prognostic subgroups (5-year OS rates: 65.9%, 46.3%, 29.6%, and 4.1%, P < 0.001). The postoperative nomogram had a C-index of 0.80, which was higher than those of the 4 conventional staging systems (0.53-0.62). These results were supported by the internal and external validations. The 2 nomograms showed accurate pre- and postoperative prediction of posthepatectomy prognosis in patients with mHCCs.