Patient-Derived Models of Liver Cancer to Inform Clinical Treatment Paradigms: Recent Updates

Primary liver cancer remains a global health challenge due to rising incidence, limited curative options, and poor overall survival. Poor outcomes stem from tumor heterogeneity, limited efficacy of current therapies, and comorbid chronic liver disease. Despite recent advances in immunotherapy and combination treatments, response rates remain low, and predictive biomarkers are lacking. As a result, there is an urgent need for preclinical models that capture the molecular, cellular, and immune landscape of primary liver cancer. This review discusses the strengths and limitations of patient-derived models of liver cancer, including two-dimensional patient-derived cell lines (PDCL), three-dimensional (3D) patient-derived tumor organoids (PDTOs), and patient-derived xenografts (PDXs). While PDCLs and PDTOs enable high throughput studies, they lack a representative tumor microenvironment. PDXs, including PDXs in animals with humanized immune systems, may more effectively mimic tumor-environment interactions but are costly, complex, and still contain mouse stromal cells. Ex vivo tissue culture preserves tissue structure and cell-cell interactions in an immunocompetent environment; however, short duration of viable culture limits broader application. Continued innovation in the development of multicellular three-dimensional culture systems and in vivo humanization strategies will play a critical role in enabling the development of more personalized and effective therapies for primary liver cancer.

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Publication Details

Journal
Seminars in Liver Disease
Published
2026-01-14
DOI
https://doi.org/10.1055/a-2779-4984
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00

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article

Patient-Derived Models of Liver Cancer to Inform Clinical Treatment Paradigms: Recent Updates

T. Gade, Kelley Weinfurtner, N. Skuli, D A Kaplan et al.
Seminars in Liver Disease
Cancer Cells and Metastasis
article

Patient-Derived Models of Liver Cancer to Inform Clinical Treatment Paradigms: Recent Updates

T. Gade, Kelley Weinfurtner, N. Skuli, D A Kaplan, Rudra Amin
article en

Abstract

Primary liver cancer remains a global health challenge due to rising incidence, limited curative options, and poor overall survival. Poor outcomes stem from tumor heterogeneity, limited efficacy of current therapies, and comorbid chronic liver disease. Despite recent advances in immunotherapy and combination treatments, response rates remain low, and predictive biomarkers are lacking. As a result, there is an urgent need for preclinical models that capture the molecular, cellular, and immune landscape of primary liver cancer. This review discusses the strengths and limitations of patient-derived models of liver cancer, including two-dimensional patient-derived cell lines (PDCL), three-dimensional (3D) patient-derived tumor organoids (PDTOs), and patient-derived xenografts (PDXs). While PDCLs and PDTOs enable high throughput studies, they lack a representative tumor microenvironment. PDXs, including PDXs in animals with humanized immune systems, may more effectively mimic tumor-environment interactions but are costly, complex, and still contain mouse stromal cells. Ex vivo tissue culture preserves tissue structure and cell-cell interactions in an immunocompetent environment; however, short duration of viable culture limits broader application. Continued innovation in the development of multicellular three-dimensional culture systems and in vivo humanization strategies will play a critical role in enabling the development of more personalized and effective therapies for primary liver cancer.

Seminars in Liver Disease
Hospital of the University of Pennsylvania (US), Philadelphia VA Medical Center (US), Drexel University (US), University of Pennsylvania (US)
U.S. Department of Defense, U.S. Department of Veterans Affairs, American Heart Association, American Association for the Study of Liver Diseases, National Institutes of Health
Openalex Percentile: Top 87%
Cancer Cells and Metastasis
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