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Ferroptosis is an iron ion-dependent, regulatory cell death modality driven by intracellular lipid peroxidation that plays a key role in the development of HCC. Studies have shown that various clinical agents (e.g., sorafenib) have ferroptosis inducer-like effects and can exert therapeutic effects by modulating different key factors in the ferroptosis pathway. This implies that targeting tumor cell ferroptosis may be a very promising strategy for tumor therapy. In this paper, we summarize the prerequisites and defense systems for the occurrence of ferroptosis and the regulatory targets of drug-mediated ferroptosis action in HCC, the differences and connections between ferroptosis and other programmed cell deaths. We aim to summarize the theoretical basis, classical inducers of ferroptosis and research progress of ferroptosis in HCC cells, clued to the treatment of HCC by regulating ferroptosis network. Further investigation of the specific mechanisms of ferroptosis and the development of hepatocellular carcinoma and interventions at different stages of hepatocellular carcinoma will help us to deepen our understanding of hepatocellular carcinoma, with a view to providing new and more precise preventive as well as therapeutic measures for patients.
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http://dx.doi.org/10.1038/s41420-024-01863-1 | DOI Listing |
Br J Haematol
March 2025
Thalassemia and Sickle Cell Disease Unit, Department of Hematology, General Hospital of Larissa, Larissa, Greece.
This study examined mortality rates among 2475 patients with thalassaemia and sickle cell disease (SCD) per year over 12 years in Greece, recording 335 deaths (27.92/year), with an overall mortality rate of 1.13% per year.
View Article and Find Full Text PDFHPB (Oxford)
March 2025
Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA. Electronic address:
Background: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could improve the accuracy of such tools.
View Article and Find Full Text PDFHPB (Oxford)
March 2025
Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA. Electronic address:
Background: Composite measures represent a validated method for evaluating surgical care quality. We defined a modified Desirability Of Outcome Ranking (mDOOR) and compared it with textbook outcome (TO).
Methods: In this cohort study, patients undergoing curative-intent surgery for HCC were identified from an international cohort.
Hepatol Int
March 2025
Department of Health Technology and Informatics, Hong Kong Polytechnic University, 11 Yuk Choi Road, Hong Kong SAR, China.
Purpose: Existing prognostic staging systems depend on expensive manual extraction by pathologists, potentially overlooking latent patterns critical for prognosis, or use black-box deep learning models, limiting clinical acceptance. This study introduces a novel deep learning-assisted paradigm that complements existing approaches by generating interpretable, multi-view risk scores to stratify prognostic risk in hepatocellular carcinoma (HCC) patients.
Methods: 510 HCC patients were enrolled in an internal dataset (SYSUCC) as training and validation cohorts to develop the Hybrid Deep Score (HDS).
Sci Rep
March 2025
Jinan Hangchen Biotechnology Co., Ltd., Jinan, 250000, China.
Fucoidan is a fucose-rich sulfated polysaccharide that has gained attention owing to its various biological activities. In this study, fucoidan was isolated from Saccharina japonica using an enzyme-assisted method, and its antioxidant and anti-hepatocarcinoma effects were evaluated. The fucoidan was a 112.
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