ArticleBiomaterials research2025
Liver-Specific Extracellular Matrix Enables High-Fidelity Patient-Derived Hepatocellular Carcinoma Xenograft Models.
Article in Biomaterials research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patient-derived tumor xenograft (PDX) models serve as powerful tools in oncology research owing to their ability to capture patient-specific tumor heterogeneity and clinical behavior. However, the conventional matrices derived from murine tumors, commonly used to generate PDX models, suffer from key limitations such as lack of tissue specificity, high production costs, and inconsistent batch quality. In response, our study investigates the use of decellularized liver extracellular matrix (Liver ECM) as a biomimetic alternative that more accurately recapitulates the native hepatic microenvironment. We demonstrate that Liver ECM, enriched with liver-specific biochemical cues, enables robust engraftment, growth, and metastasis of patient-derived hepatocellular carcinoma cells in both subcutaneous and orthotopic PDX models. Notably, orthotopic models established with Liver ECM exhibited enhanced metastatic behavior, particularly to the intestine, compared to those formed using conventional matrices. Transcriptomic analysis further revealed activation of key pathways associated with cancer progression, including angiogenesis, apoptosis, migration, and inflammation. Additionally, we extend the application of Liver ECM to patient-derived organoid xenografts, which showed improved tumorigenicity and retained pathophysiological features of the original tumor tissue. Together, these findings underscore the potential of liver-specific ECM as a superior platform for generating physiologically relevant PDX models and enhancing the translational relevance of preclinical cancer studies.
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Registered trials
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