ArticleScientific reports2025
Modelling hepatocellular carcinoma microenvironment phenotype to evaluate drug efficacy.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Chromatin chronicles: Unlocking the therapeutic potential of histone modifiers in hepatocellular carcinoma.Medical oncology (Northwood, London, England) · 2026Review
- A serum-derived 3D tumor model platform for personalized prediction and monitoring of chemotherapeutic response in pancreatic ductal adenocarcinoma.Translational oncology · 2026Article
- Large language models for clinical decision support in gastroenterology and hepatology.Nature reviews. Gastroenterology & hepatology · 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
8 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related death worldwide. Treating HCC is challenging because of the poor drug effectiveness and the lack of tools to predict patient responses. To resolve these issues, we established a patient-centric spheroid model using HepG2, TWNT-1, and THP-1 co-culture, that mimics HCC phenotype. We developed a target-independent cell killing (TICK) exclusion strategy to monitor the therapeutic response. We demonstrated that our model reproduced the Barcelona Clinic Liver Cancer (BCLC) molecular classification, displayed known alterations of epigenetic players, and responded to tyrosine kinase inhibitors (TKIs) such as sorafenib, cabozantinib, and lenvatinib in a patient-dependent manner. Importantly, we reported for the first time that our model correctly predicted 34 clinical outcomes to TKIs out of 37 case studies on 32 HCC patients confirming that patient-centric spheroids, combined with our TICK exclusion strategy, are valuable models for drug discovery and opening a near perspective to personalized care.
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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.