Impact of HCV eradication on recurrence pattern and long-term outcomes in patients with HCV-related hepatocellular carcinoma undergoing radiofrequency ablation.

BACKGROUND: The benefits of HCV eradication on distinct recurrence patterns and long-term hepatic outcomes in patients with hepatocellular carcinoma (HCC) undergoing radiofrequency ablation (RFA) remain uncertain. This study aims to assess the impact of HCV eradication on HCC recurrence patterns and long-term hepatic outcomes after RFA and to identify predictors of recurrence in patients achieving sustained virological response (SVR). METHODS: We retrospectively enrolled 274 patients receiving RFA for HCV-related HCC, including 73 and 88 patients treated with interferon-based (IFN) and direct-acting antivirals (DAA) therapy, respectively. We analysed factors associated with local tumour progression (LTP), distant recurrence, overall survival, and hepatic decompensation. RESULTS: SVR was achieved in 49.3% of patients undergoing IFN therapy and 93.2% of patients undergoing DAA therapy. HCV eradication was not associated with LTP but significantly correlated with reduced risk of distant recurrence (by DAA: hazard ratio (HR) = 0.449, p = 0.006), overall survival (by IFN: HR = 0.242, p < 0.001; by DAA: HR = 0.274, p < 0.001) and hepatic decompensation (by IFN: HR = 0.313, p = 0.004; by DAA: HR = 0.281, p < 0.001). The benefits of achieving SVR in terms of overall survival and hepatic decompensation remained significant in subgroups of patients with and without recurrence. Patients with SVR showed a significant decline in FIB-4 score and a higher proportion of ALBI grade improvement. Among SVR patients, the IMbrave050 criteria predicted LTP but not distant recurrence, whereas the FIB-4 score after SVR, rather than the baseline FIB-4, predicted distant recurrence. CONCLUSIONS: HCV eradication was associated with a significant reduction in distant recurrence, mortality and hepatic decompensation following RFA in patients with HCV-related HCC.

Functional cure of hepatitis B in patients with cancer undergoing immune checkpoint inhibitor therapy.

BACKGROUND & AIMS: Immune checkpoint inhibitors (ICIs) can restore exhausted T cell immunity not only for cancer treatment but also potentially for curing chronic hepatitis B (CHB). The impact of ICIs on Hepatitis B surface antigen (HBsAg) seroclearance in cancer patients was unclear. METHODS: Consecutive cancer patients from 2016 to 2020 (Cohort 1, n=118), and hepatocellular carcinoma (HCC) patients from 2020 to 2022 (Cohort 2, n=44, as validation) receiving ICIs and positive for HBsAg were retrospectively recruited. An additional hepatitis B virus (HBV)-HCC cohort (Cohort 3, n=85) without ICI served as a control group. Factors associated with HBsAg loss or combining HBsAg decline >1 log were analyzed. RESULTS: With median follow-up of 17.5 months, 8 (6.8%) in cohort 1 and 4 (9.1%) in cohort 2 achieved HBsAg seroclearance, and additional 4 in cohort 1 and 1 in cohort 2 had HBsAg decline >1 log. In multivariate analysis, HBsAg <100 IU/mL was associated with HBsAg seroclearance (HR=6.274, p=0.028). In the validation cohort, the cumulative incidence of HBsAg loss at months 12 and 24 was 13.0% and 38.4% for baseline HBsAg <100 IU/ml, which were significantly higher than those in the control group (p=0.0267). While no case in cohort 3 achieved HBsAg within 24 months. Of the 17 cases achieved HBsAg loss and decline >1 log, 16 (94.1%) had nucleos(t)ide analogs treatment. The median time to HBsAg loss or HBsAg decline was 16.5 months (ranged 9.6 to 27.5). CONCLUSIONS: ICIs may accelerate HBsAg seroclearance in cancer patients with baseline HBsAg <100 IU/ml. This finding provides important information for the design of future ICI trials to achieve functional cure in patients with CHB.

A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images.

BACKGROUND: Automatic segmentation of hepatocellular carcinoma (HCC) on computed tomography (CT) scans is in urgent need to assist diagnosis and radiomics analysis. The aim of this study is to develop a deep learning based network to detect HCC from dynamic CT images. METHODS: Dynamic CT images of 595 patients with HCC were used. Tumors in dynamic CT images were labeled by radiologists. Patients were randomly divided into training, validation and test sets in a ratio of 5:2:3, respectively. We developed a hierarchical fusion strategy of deep learning networks (HFS-Net). Global dice, sensitivity, precision and F1-score were used to measure performance of the HFS-Net model. RESULTS: The 2D DenseU-Net using dynamic CT images was more effective for segmenting small tumors, whereas the 2D U-Net using portal venous phase images was more effective for segmenting large tumors. The HFS-Net model performed better, compared with the single-strategy deep learning models in segmenting small and large tumors. In the test set, the HFS-Net model achieved good performance in identifying HCC on dynamic CT images with global dice of 82.8%. The overall sensitivity, precision and F1-score were 84.3%, 75.5% and 79.6% per slice, respectively, and 92.2%, 93.2% and 92.7% per patient, respectively. The sensitivity in tumors < 2 cm, 2-3, 3-5 cm and > 5 cm were 72.7%, 92.9%, 94.2% and 100% per patient, respectively. CONCLUSIONS: The HFS-Net model achieved good performance in the detection and segmentation of HCC from dynamic CT images, which may support radiologic diagnosis and facilitate automatic radiomics analysis.

Enhancing regional control in p16-negative oropharyngeal cancer: A propensity score-matched analysis of upfront neck dissection and definitive chemoradiotherapy.

BACKGROUND: The presence of p16 and neck disease is important predictors of prognosis for oropharyngeal squamous cell carcinoma (OPSCC). Patients who are p16-negative and have clinically node-positive (cN+) disease generally have worse oncologic outcomes. This study aimed to investigate whether upfront neck dissection (UFND) could provide potential benefits for patients with cN+ p16-negative OPSCC. METHODS: Through this retrospective study, 76 patients with cN+ p16-negative OPSCC were analyzed, those who received either definite concurrent chemoradiotherapy (CCRT group) or UFND followed by chemoradiotherapy (UFND group). The primary endpoints were regional recurrence-free survival (RRFS), disease-specific survival (DSS), and overall survival (OS). Factors associated with survival were evaluated by univariate and multivariate analysis. Survival between the two groups was compared by propensity score-matched analysis. RESULTS: Matched 23 patients in each group through propensity analysis, the UFND group showed a significantly better 5-year RRFS (94.1% vs 61.0%, p = 0.011) compared to the CCRT group. Univariate analysis revealed that UFND was the sole factor associated with regional control (hazard ratio [HR] = 0.110; 95% CI, 0.014-0.879; p = 0.037). Furthermore, the study found that the CCRT group was associated with a higher dose of radiotherapy and exhibited a significantly higher risk of mortality due to pneumonia. CONCLUSION: The study indicated that UFND followed by CCRT may be a potential treatment option for patients with cN+ p16-negative OPSCC, as it can reduce the risk of regional recurrence. Additionally, the study highlights that definite CCRT is connected to a larger dose of radiotherapy and a higher risk of fatal pneumonia. These findings could be beneficial in informing clinical decision-making and improving treatment outcomes for patients with OPSCC.

Radiologic Patterns Determine the Outcomes of Initial and Subsequent Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma.

Introduction: Outcomes of transarterial chemoembolization (TACE) for intermediate-stage hepatocellular carcinoma (HCC) are diverse because of the heterogeneity of tumor burden. Radiologic pattern is one criterion for determining whether TACE is unsuitable. However, additional evidence is required. This study determined the influence of radiologic morphology on the outcomes of initial and subsequent TACE. Methods: From January 2007 to September 2021, 633 treatment-naive patients with HCC with intermediate-stage HCC undergoing TACE were retrospectively enrolled. Of these patients, 386 patients received repeated TACE. The radiological features of HCC were evaluated by two radiologists and classified into encapsulated nodular type, simple nodular type with extranodular growth, confluent multinodular type, and infiltrative type. The objective response rate (ORR) and survival rate after initial and subsequent TACE among various radiologic morphologies were compared. Results: After initial TACE, encapsulated nodular type HCC had the highest ORR (58%), followed by extranodular type (45.8%), confluent multinodular type (29%), and infiltrative type (19.5%). Notably, radiologic pattern was highly associated with tumor burden. Tumor burden and radiologic morphology were significantly associated with ORR and overall survival (OS) in the multivariate analysis. In 386 patients with subsequent TACE, encapsulated nodular type HCC had the highest ORR (48.7%), followed by extranodular type (37.3%), confluent multinodular type (26.2%), and infiltrative type (10%). In the multivariate analysis, radiologic features were significant independent predictors of ORR and OS after receiving subsequent TACE. Conclusion: Radiologic patterns determine the outcomes of initial and subsequent TACE. Systemic therapy should be considered for patients with intermediate-stage HCC with unfavorable radiologic patterns.

Analyzing risk factors and developing a stratification system for hepatocellular carcinoma recurrence after interferon-free direct-acting antiviral therapy in chronic hepatitis C patients.

BACKGROUND: The introduction of direct-acting antiviral agents (DAAs) has revolutionized the therapeutic landscape of chronic hepatitis C (CHC), however real-world data on the risk factors of hepatocellular carcinoma (HCC) recurrence following DAA treatment in CHC-HCC patients are limited in Taiwan. We aimed to evaluate the therapeutic efficacy of DAAs in Taiwanese patients with prior hepatitis C virus (HCV)-induced HCC and identify the posttreatment risk factors for HCC recurrence. METHODS: Between January 2017 and August 2021, 208 CHC-HCC patients underwent DAA treatment at Taipei Veterans General Hospital. Among them, 94 patients met the inclusion criteria (Barcelona clinic liver cancer [BCLC] stage 0/A after treatment with complete radiological response) for analysis. Comprehensive demographic, clinical, and laboratory data were collected before and after DAA treatment. The primary outcome was HCC recurrence post-DAA treatment, and independent variables were assessed using multivariate Cox proportional hazards models. RESULTS: The mean age of the enrolled patients was 75.9 ± 8.9 years; 44.7% were male, and 94.7% were Child-Pugh class A. Before DAA treatment, 31.9% experienced HCC recurrence. The median follow-up after DAA treatment was 22.1 months (interquartile range, 8.6-35.9 months). After treatment, 95.7% of the patients achieved a sustained virological response (SVR 12 ), but HCC recurrence occurred in 54.3%. Cumulative HCC recurrence rates after treatment were 31.1% at 1 year, 57.3% at 3 years, and 68.5% at up to 5.69 years. Multivariate analysis revealed that prior HCC recurrence before DAA treatment (hazard ratio [HR] = 3.15, p = 0.001), no SVR 12 after treatment (HR = 6.829, p = 0.016), 12-week posttreatment alpha-fetoprotein (AFP) level >10 ng/mL (HR = 2.34, p = 0.036), and BCLC A3 lesions (two or three nodules without any tumor exceeding 3 cm) (HR = 2.31, p = 0.039) were independent risk factors for HCC recurrence. We further developed a risk stratification system based on these significant independent factors. CONCLUSION: This investigation underscores the critical influence of factors such as prior HCC recurrence, successful attainment of SVR 12 , posttreatment AFP level, and specific tumor characteristics in determining the risk of HCC recurrence after treatment with DAAs. Our proposed innovative risk stratification system may not only contribute to enhanced personalized care but also holds the potential to optimize treatment outcomes.