Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cirrhosis II: Pathophysiology01:24

Cirrhosis II: Pathophysiology

Cirrhosis is a progressive chronic liver injury caused by prolonged inflammation, excessive fibrotic remodeling, and impaired regeneration. Over time, repeated hepatic insults disrupt the liver’s architecture and function, leading to reduced blood flow, impaired bile drainage, and diminished metabolic capacity.Pathophysiology of cirrhosisCirrhosis arises from three main responses to chronic liver damage: inflammation, immune activation, and hepatocyte death. These processes lead to structural...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Trial design and end points in hepatocellular carcinoma: an EASL-AASLD-ILCA consensus statement.

Nature reviews. Clinical oncology·2026
Same author

Claudin-1 targeting suppresses tumor growth, invasion, and metastasis in patient-derived cholangiocarcinoma models.

Science translational medicine·2026
Same author

CLEC14A correlates with neutrophil infiltration in hepatocellular carcinoma and mediates neutrophil recruitment across liver endothelial cells.

The Journal of pathology·2026
Same author

Integrated genomic analyses identify oncogenic pathway interplay in hepatocarcinogenesis defining specific molecular subtypes.

Nature communications·2026
Same author

Plain language summary of five-year overall survival update from the HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma (liver cancer).

Future oncology (London, England)·2026
Same author

Corrigendum to "Cardiological adverse events in hepatocellular carcinoma patients receiving immunotherapy: Influence of comorbidities and clinical outcomes" [Eur J Cancer (May) (2025) 15:221:115404].

European journal of cancer (Oxford, England : 1990)·2026
Same journal

Total vascular exclusion in pediatric hepatectomy: reducing hemorrhage without added morbidity.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same journal

Intention to treat outcomes following management of locally advanced pancreatic ductal adenocarcinoma with curative intent: single centre cohort study.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same journal

Surgical outcomes in gallbladder cancer: evidence from the UK nationwide CAPBIL study.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same journal

Machine learning model offers promising individualized prediction for recurrence-free survival in solitary resectable colorectal liver metastasis: strengths, limitations, and future directions.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same journal

Selective internal radiotherapy vs transarterial chemoembolization for unresectable hepatocellular carcinoma: a systematic review.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same journal

The impact of operative timing on major post-operative complications following liver transplantation: a retrospective cohort study.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 2026

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
12:24

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma

Published on: September 30, 2021

Staging systems in hepatocellular carcinoma.

Fernando Pons1, Maria Varela, Josep M Llovet

  • 1Barcelona-Clinic Liver Cancer (BCLC) Group, Liver Unit, Digestive Disease Institut, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Catalonia, Spain.

HPB : the Official Journal of the International Hepato Pancreato Biliary Association
|March 12, 2008
PubMed
Summary
This summary is machine-generated.

Developing a universal staging system for hepatocellular carcinoma (HCC) is challenging due to disease complexity and global heterogeneity. Current systems like Okuda and TNM have limitations, hindering worldwide adoption for cancer prognosis and treatment guidance.

More Related Videos

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties
08:40

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

Published on: August 7, 2020

A Hepatocellular Cancer Patient-Derived Organoid Xenograft Model to Investigate Impact of Liver Regeneration on Tumor Growth
08:15

A Hepatocellular Cancer Patient-Derived Organoid Xenograft Model to Investigate Impact of Liver Regeneration on Tumor Growth

Published on: February 2, 2024

Related Experiment Videos

Last Updated: Jul 6, 2026

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
12:24

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma

Published on: September 30, 2021

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties
08:40

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

Published on: August 7, 2020

A Hepatocellular Cancer Patient-Derived Organoid Xenograft Model to Investigate Impact of Liver Regeneration on Tumor Growth
08:15

A Hepatocellular Cancer Patient-Derived Organoid Xenograft Model to Investigate Impact of Liver Regeneration on Tumor Growth

Published on: February 2, 2024

Area of Science:

  • Hepatology
  • Oncology
  • Clinical Research

Background:

  • Staging systems are crucial for cancer prognosis, clinical trial stratification, research communication, and therapeutic guidance.
  • Conventional hepatocellular carcinoma (HCC) staging systems (Okuda, TNM) exhibit significant limitations.
  • HCC is a complex neoplasm often arising in cirrhotic livers, necessitating consideration of both conditions for accurate staging.

Purpose of the Study:

  • To review the limitations of current hepatocellular carcinoma (HCC) staging systems.
  • To discuss the challenges in developing a universally applicable HCC staging system.
  • To highlight the need for validated and comprehensive staging methods for HCC patient management.

Main Methods:

  • Literature review of existing HCC staging systems.
  • Analysis of the limitations and validation status of prominent staging classifications (BCLC, JIS, CLIP).
  • Discussion of factors contributing to the heterogeneity of HCC globally.

Main Results:

  • Established HCC staging systems like Okuda and TNM have demonstrated significant limitations.
  • Recently proposed systems (BCLC, JIS, CLIP) show promise but require further validation, particularly in diverse populations.
  • Global heterogeneity in HCC epidemiology, risk factors, and treatment modalities complicates the development of a single, worldwide staging system.

Conclusions:

  • A universally accepted staging system for HCC remains elusive due to the disease's complexity and global variability.
  • Factors such as the interplay between cirrhosis and HCC, diverse epidemiological backgrounds, and varied treatment approaches (transplantation, surgery) present significant hurdles.
  • Future research into molecular signatures may offer novel insights for improved HCC patient classification and outcome prediction.