ArticleBMC cancer2018
PDXliver: a database of liver cancer patient derived xenograft mouse models.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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
16 citing papers in PubMed.
- Patient-Derived Models of Liver Cancer to Inform Clinical Treatment Paradigms: Recent Updates.Seminars in liver disease · 2026Review
- Harnessing PDX and PDX 2.0: the next-generation paradigm for precision oncology and translational breakthroughs.Molecular cancer · 2026Review
- Precision models in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2025Review
- Liver organoids: updates on generation strategies and biomedical applications.Stem cell research & therapy · 2024Review
- Esophageal organoids: applications and future prospects.Journal of molecular medicine (Berlin, Germany) · 2023Review
- Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction.Frontiers in immunology · 2023Review
- Personalized treatment for hepatocellular carcinoma in the era of targeted medicine and bioengineering.Frontiers in pharmacology · 2023Review
- EID3 Promotes Glioma Cell Proliferation and Survival by Inactivating AMPKα1.Journal of Korean Neurosurgical Society · 2022Article
- Establishment and genetically characterization of patient-derived xenograft models of cervical cancer.BMC medical genomics · 2022Article
- Zebrafish Xenotransplantation Models for Studying Gene Function and Drug Treatment in Hepatocellular Carcinoma.Journal of gastrointestinal cancer · 2021Review
- Review
- Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts.Nature genetics · 2021Article
- Patient-Derived Xenograft Models for Intrahepatic Cholangiocarcinoma and Their Application in Guiding Personalized Medicine.Frontiers in oncology · 2021Article
- iPSC-Derived Liver Organoids: A Journey from Drug Screening, to Disease Modeling, Arriving to Regenerative Medicine.International journal of molecular sciences · 2020Review
- Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2020Review
- Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
backgroundLiver cancer is the second leading cause of cancer-related deaths and characterized by heterogeneity and drug resistance. Patient-derived xenograft (PDX) models have been widely used in cancer research because they reproduce the characteristics of original tumors. However, the current studies of liver cancer PDX mice are scattered and the number of available PDX models are too small to represent the heterogeneity of liver cancer patients. To improve this situation and to complement available PDX models related resources, here we constructed a comprehensive database, PDXliver, to integrate and analyze liver cancer PDX models. DESCRIPTION: Currently, PDXliver contains 116 PDX models from Chinese liver cancer patients, 51 of them were established by the in-house PDX platform and others were curated from the public literatures. These models are annotated with complete information, including clinical characteristics of patients, genome-wide expression profiles, germline variations, somatic mutations and copy number alterations. Analysis of expression subtypes and mutated genes show that PDXliver represents the diversity of human patients. Another feature of PDXliver is storing drug response data of PDX mice, which makes it possible to explore the association between molecular profiles and drug sensitivity. All data can be accessed via the Browse and Search pages. Additionally, two tools are provided to interactively visualize the omics data of selected PDXs or to compare two groups of PDXs.
conclusionAs far as we known, PDXliver is the first public database of liver cancer PDX models. We hope that this comprehensive resource will accelerate the utility of PDX models and facilitate liver cancer research. The PDXliver database is freely available online at: http://www.picb.ac.cn/PDXliver/.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.