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

You might also read

Related Articles

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

Sort by
Same author

Context-Dependent Modulation of Breast Cancer Cell E-Cadherin Expression, Mitogenesis, and Immuno-Sensitivity by Immortalized Human Mesenchymal Stem Cells In Vitro.

Cells·2025
Same author

Leveraging Deep Learning, Grid Search, and Bayesian Networks to Predict Distant Recurrence of Breast Cancer.

Cancers·2025
Same author

Evaluating the Effectiveness of Tyrosine Kinase Inhibitors on EGFR Mutations In Vitro.

International journal of molecular sciences·2025
Same author

Deep Learning: A Heuristic Three-Stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-Based Clinical Data.

Cancers·2025
Same author

Statins as Secondary Preventive Agent to Limit Breast Cancer Metastatic Outgrowth.

International journal of molecular sciences·2025
Same author

Hope for Others: Research Results from the University of Pittsburgh Rapid Autopsy Program for Breast Cancer.

bioRxiv : the preprint server for biology·2024

Related Experiment Video

Updated: Mar 4, 2026

Portal Vein Injection of Colorectal Cancer Organoids to Study the Liver Metastasis Stroma
07:59

Portal Vein Injection of Colorectal Cancer Organoids to Study the Liver Metastasis Stroma

Published on: September 3, 2021

7.2K

A Pathway to Personalizing Therapy for Metastases Using Liver-on-a-Chip Platforms.

A S Khazali1, A M Clark1, A Wells2,3,4,5,6

  • 1Department of Pathology, University of Pittsburgh, S711 Scaife Hall, 3550 Terrace St, Pittsburgh, PA, 15261, USA.

Stem Cell Reviews and Reports
|April 21, 2017
PubMed
Summary
This summary is machine-generated.

Targeting liver metastases is crucial for cancer survival. An all-human liver-on-a-chip model improves drug discovery by accurately mimicking human liver micrometastases.

Keywords:
3D ex vivo hepatic microphysiological system (MPS)Embryonic stem cells (ES cells)HepatocytesInduced pluripotent stem cells (iPS cells)Liver metastasisLiver sinusoidal endothelial cells (LSE cells)Non-parenchymal cells (NPC)Personalized/precision medicine

More Related Videos

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.8K
Discovery of Metastatic Regulators using a Rapid and Quantitative Intravital Chick Chorioallantoic Membrane Model
07:03

Discovery of Metastatic Regulators using a Rapid and Quantitative Intravital Chick Chorioallantoic Membrane Model

Published on: February 3, 2021

3.1K

Related Experiment Videos

Last Updated: Mar 4, 2026

Portal Vein Injection of Colorectal Cancer Organoids to Study the Liver Metastasis Stroma
07:59

Portal Vein Injection of Colorectal Cancer Organoids to Study the Liver Metastasis Stroma

Published on: September 3, 2021

7.2K
Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.8K
Discovery of Metastatic Regulators using a Rapid and Quantitative Intravital Chick Chorioallantoic Membrane Model
07:03

Discovery of Metastatic Regulators using a Rapid and Quantitative Intravital Chick Chorioallantoic Membrane Model

Published on: February 3, 2021

3.1K

Area of Science:

  • Oncology
  • Hepatology
  • Biomedical Engineering

Background:

  • Metastasis is the primary cause of cancer mortality, with the liver being a common site for solid tumor spread.
  • Current animal models fail to replicate human liver heterogeneity and drug metabolism, hindering effective cancer drug development.
  • Accurate human liver models are essential for studying liver metastases and developing personalized medicine.

Purpose of the Study:

  • To review the development and application of an all-human 3D ex vivo hepatic microphysiological system (MPS) for investigating human liver micrometastases.
  • To discuss the sources of liver resident cells, particularly induced pluripotent stem cell (iPSC)-derived hepatocytes, for these models.
  • To examine the challenges and limitations in accurately modeling the human liver for disease and drug studies.

Main Methods:

  • Adaptation of an all-human 3D ex vivo hepatic microphysiological system (liver-on-a-chip).
  • Focus on utilizing iPSC-derived hepatocytes and other liver resident cells.
  • Review of existing literature on cell sources, challenges, and limitations in liver modeling.

Main Results:

  • The review highlights the potential of liver-on-a-chip technology to model human liver micrometastases.
  • It examines the advantages and disadvantages of various cell sources, including iPSC-derived hepatocytes.
  • Identifies key challenges in creating accurate and predictive human liver models.

Conclusions:

  • All-human liver-on-a-chip models offer a promising platform for studying liver metastases and improving drug discovery.
  • Understanding cell source variability and addressing modeling limitations are critical for advancing personalized medicine.
  • Further research is needed to optimize these models for clinical relevance.