Combined image-guided radiofrequency and iodine-125 seeds implantation in the treatment of recurrent hepatocellular carcinoma after hepatectomy.

BACKGROUND: Currently, there is no consensus on the treatment of recurrent hepatocellular carcinoma (HCC) after hepatectomy. It is necessary to assess the efficacy and safety of radiofrequency ablation (RFA) combined with iodine-125 seeds implantation (RFA-125I) in the treatment of recurrent HCC. METHODS: This study retrospectively analyzed the clinical data of patients with postoperative recurrence of HCC receiving RFA-125I or RFA treatment from January 2013 to January 2023. Both RFA and 125I seeds implantation were performed under dual guidance of ultrasound and CT. Overall survival (OS), progression-free survival (PFS), recurrence, and complications were compared between the two groups. RESULTS: A total of 210 patients with recurrent HCC were enrolled in this study, including 125 patients in the RFA-125I group and 85 patients in the RFA group. The RFA-125I group showed a significantly better survival benefit than RFA group (median OS: 37 months vs. 16 months, P < 0.001; median PFS: 15 months vs. 10 months, P = 0.001). The uni- and multivariate analysis showed that RFA-125I was a protective factor for OS and PFS. There were no procedure-related deaths and no grade 3 or higher adverse events in both groups. CONCLUSIONS: RFA combined with 125I seeds implantation under dual guidance of ultrasound and CT is effective and safe for the treatment of HCC patients with recurrence after hepatectomy.

Unleashing the potential: transarterial chemoembolization combined with intra-arterial infusion of bevacizumab for unresectable hepatocellular carcinoma.

BACKGROUND: The purpose of this study is to compare the efficacy and safety of transarterial chemoembolization (TACE) alone with transarterial chemoembolization combined with the arterial infusion of bevacizumab (TACE + Bev) in patients with unresectable hepatocellular carcinoma (uHCC). METHODS: A retrospective analysis was conducted on 446 uHCC patients treated with TACE or TACE + Bev between January 2021 and March 2023. The study evaluated objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and adverse events in both treatment groups. RESULTS: Finally, the TACE group comprised 295 patients, and the TACE + Bev group comprised 151 patients. Patients in the TACE + Bev group exhibited significantly prolonged median PFS (7.9 months vs. 10.3 months, P = 0.013) and median OS (16.1 months vs. 21.4 months, P = 0.041), improved ORR (26.8% vs. 37.7%, P = 0.017) and DCR (71.5% vs. 80.8%, P = 0.033) compared to the TACE group. Multifactorial Cox analysis identified alpha-fetoprotein (AFP) > 400 ng/ml as an independent prognostic factor for PFS and OS. Meanwhile, portal vein cancer thrombosis and distant metastasis are poor prognostic factors for OS. The overall incidence of adverse events was similar between the two groups. CONCLUSION: In comparison with the TACE group, the TACE + Bev group demonstrated efficacy in improving outcomes for patients with uHCC with a manageable safety profile.

MiR-339-5p Inhibits Ferroptosis by Promoting Autophagic Degradation of FTH1 Through Targeting ATG7 in Liver Cancer Cells.

Background: Liver cancer has a high incidence and mortality rate worldwide, and there is an urgent need to identify new therapeutic strategies and predictive targets to improve the clinical outcomes of advanced liver cancer. Ferroptosis holds promise as a novel strategy for cancer therapy. Epigenetic dysregulation is a hallmark of cancer, and noncoding RNAs are tightly involved in cell fate determination. Therefore, we aimed to identify a novel ferroptosis regulator from aberrantly expressed microRNAs that may serve as a novel biomarker and therapeutic target for liver cancer. Methods: The expression signature and prognostic value of miR-339 was assessed using TCGA data set. The role of miR-339/ATG7/FTH1 axis in liver cancer cells were evaluated through growth curve, colony formation, 7-AAD staining. The role of miR-339 in regulation of ferroptosis was determined by immunofluorescence staining, flow cytometry, and Elisa kits. Results: Here, we showed that miR-339 is aberrantly overexpressed in patients with liver cancer. In addition, miR-339 inhibition dramatically suppresses liver cancer progression. Furthermore, miR-339 silencing drives cell death and inhibits liver cancer progression, indicating that miR-339 may serve as a novel ferroptosis suppressor. Mechanistically, we demonstrated that miR-339 targets ATG7 to facilitate the autophagic degradation of FTH1 and prevent ferroptosis in liver cancer cells. Conclusions: We provide important evidence that the miR-339 inhibition activates of the autophagy pathway to promote ferroptosis by degrading FTH1 in liver cancer cells. We found that miR-339 regulates the balance between ferroptosis and autophagy in liver cancer cells.

A clinical-radiomic-pathomic model for prognosis prediction in patients with hepatocellular carcinoma after radical resection.

PURPOSE: Radical surgery, the first-line treatment for patients with hepatocellular cancer (HCC), faces the dilemma of high early recurrence rates and the inability to predict effectively. We aim to develop and validate a multimodal model combining clinical, radiomics, and pathomics features to predict the risk of early recurrence. MATERIALS AND METHODS: We recruited HCC patients who underwent radical surgery and collected their preoperative clinical information, enhanced computed tomography (CT) images, and whole slide images (WSI) of hematoxylin and eosin (H & E) stained biopsy sections. After feature screening analysis, independent clinical, radiomics, and pathomics features closely associated with early recurrence were identified. Next, we built 16 models using four combination data composed of three type features, four machine learning algorithms, and 5-fold cross-validation to assess the performance and predictive power of the comparative models. RESULTS: Between January 2016 and December 2020, we recruited 107 HCC patients, of whom 45.8% (49/107) experienced early recurrence. After analysis, we identified two clinical features, two radiomics features, and three pathomics features associated with early recurrence. Multimodal machine learning models showed better predictive performance than bimodal models. Moreover, the SVM algorithm showed the best prediction results among the multimodal models. The average area under the curve (AUC), accuracy (ACC), sensitivity, and specificity were 0.863, 0.784, 0.731, and 0.826, respectively. Finally, we constructed a comprehensive nomogram using clinical features, a radiomics score and a pathomics score to provide a reference for predicting the risk of early recurrence. CONCLUSIONS: The multimodal models can be used as a primary tool for oncologists to predict the risk of early recurrence after radical HCC surgery, which will help optimize and personalize treatment strategies.