ReviewBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2025
State-of-the-Art Liver Cancer Organoids: Modeling Cancer Stem Cell Heterogeneity for Personalized Treatment.
Review in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application and prospect analysis of chimeric antigen receptor T-cell therapy in hepatocellular carcinoma treatment: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Biobanked Liver Organoids: A Roadmap for Precision Hepatology.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Article
- Harnessing Cancer Stem Cells and 3D Organoids in Unravelling Spatial and Cellular Heterogeneity in Cancer.International journal of molecular sciences · 2026Review
- PRMT1-mediated asymmetric dimethylation of arginine residue 602 in DDX1 promotes cholangiocarcinoma progression.Clinical and molecular hepatology · 2026Article
- Stem Cell-Derived Organoids for Cancer Therapy: Precision Medicine and Drug Selection.International journal of molecular sciences · 2026Review
- Development, Expansion, and Histological Characterization of Patient-Derived Liver Organoids for Drug Screening and Disease Modeling.Bio-protocol · 2026Article
- The epigenetic regulator SETDB1 as a key component of cancer stem cells and drug resistance in primary liver cancer.Cellular oncology (Dordrecht, Netherlands) · 2026Article
- Establishment, functional dissection, and single-cell transcriptomal characteristics of patient-derived pulmonary sarcomatoid carcinoma organoids.Frontiers in oncology · 2026Article
- Expressional and prognostic value of cytokine receptor-like factor 3 in liver hepatocellular carcinoma patients via integrated bioinformatics analyses and experiments.SAGE open medicine · 2026Article
- Biology of stem cell paradox: a double-edged sword-implications for cancer therapy.Cancer cell international · 2025Review
- Cancer stem cells: landscape, challenges and emerging therapeutic innovations.Signal transduction and targeted therapy · 2025Review
- Cancer stem cells: Bridging microenvironmental interactions and clinical therapy.Clinical and translational medicine · 2025Review
- Applications of 3D models in cholangiocarcinoma.Frontiers in oncology · 2025Review
- Approaches to modeling cancer metastasis: from bench to bedside.Frontiers in oncology · 2025Review
- Cancer stem cells in hepatocellular carcinoma: therapy resistance and emerging treatments.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liver cancer poses a global health challenge with limited therapeutic options. Notably, the limited success of current therapies in patients with primary liver cancers (PLCs) may be attributed to the high heterogeneity of both hepatocellular carcinoma (HCCs) and intrahepatic cholangiocarcinoma (iCCAs). This heterogeneity evolves over time as tumor-initiating stem cells, or cancer stem cells (CSCs), undergo (epi)genetic alterations or encounter microenvironmental changes within the tumor microenvironment. These modifications enable CSCs to exhibit plasticity, differentiating into various resistant tumor cell types. Addressing this challenge requires urgent efforts to develop personalized treatments guided by biomarkers, with a specific focus on targeting CSCs. The lack of effective precision treatments for PLCs is partly due to the scarcity of ex vivo preclinical models that accurately capture the complexity of CSC-related tumors and can predict therapeutic responses. Fortunately, recent advancements in the establishment of patient-derived liver cancer cell lines and organoids have opened new avenues for precision medicine research. Notably, patient-derived organoid (PDO) cultures have demonstrated self-assembly and self-renewal capabilities, retaining essential characteristics of their respective in vivo tissues, including both inter- and intratumoral heterogeneities. The emergence of PDOs derived from PLCs serves as patient avatars, enabling preclinical investigations for patient stratification, screening of anticancer drugs, efficacy testing, and thereby advancing the field of precision medicine. This review offers a comprehensive summary of the advancements in constructing PLC-derived PDO models. Emphasis is placed on the role of CSCs, which not only contribute significantly to the establishment of PDO cultures but also faithfully capture tumor heterogeneity and the ensuing development of therapy resistance. The exploration of PDOs' benefits in personalized medicine research is undertaken, including a discussion of their limitations, particularly in terms of culture conditions, reproducibility, and scalability.
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What Socratic holds
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 Socratic graph.