Evidence map›Paper›PMID 40377490›Full record

ArticleHepatology communications2025

Precision-cut tumor slices for modeling hepatocellular carcinoma enable at-scale drug screening.

Amy L Collins, Keara Kirkness, Erik Ramon-Gil, Eleni Tzortzopoulou, Daniel Geh, Jack Dishington, Eleanor Graham, Rhys Muir, Rainie Cameron, Saimir Luli and 10 more

Abstract read
In one paragraph

Article in Hepatology communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Amy L CollinsNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0003-3619-2588
Keara KirknessNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Erik Ramon-GilNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-6397-0130
Eleni TzortzopoulouNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Daniel GehNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Jack DishingtonNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Eleanor GrahamNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0009-0007-2767-1145
Rhys MuirNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Rainie CameronNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Saimir LuliNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Eman KhurramNewcastle University Medicine Malaysia, Iskandar Puteri, Malaysia.
Daniel StoreyFibroFind Ltd, William Leech Building, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Hannah L PaishNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Glyn NelsonBioimaging Unit, Newcastle University, Newcastle upon Tyne, UK.
David McDonaldFlow Cytometry Core Facility, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Andrew FilbyFlow Cytometry Core Facility, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Lee A BorthwickNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Fiona OakleyNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Derek A MannNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Jack LeslieNewcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundDisease modeling is vital for our understanding of disease mechanisms and for developing new therapeutic strategies. Accurately modeling the intact tumor microenvironment (TME) is increasingly recognized as essential for gaining insights into cancer biology and therapeutic response. Preclinical mouse models have provided utility for studying the evolving TME, but these models are costly and can lead to animal suffering and the discontinuation of drug investigations. To address these limitations, particularly in hepatocellular carcinoma (HCC), we have developed an ex vivo model using tumor precision-cut slices (TPCS) derived from orthotopic liver tumors.

methodsMurine HCC tumors were generated via intrahepatic injection of Hep-53.4 cells, providing a source of tumor tissue for TPCS generation. Subsequent scaling to a 96-well format and modification to include a secreted luciferase enabled longitudinal ex vivo screening of 26 drugs applied at 2 doses over an 8-day period, using just 5 tumors. One drug identified in the screen, salinomycin, was then validated in vivo via intraperitoneal injection of mice with orthotopic liver tumors.

resultsHistological characterization determined that TPCS maintain the architecture, cellular complexity, and drug responsiveness of the original HCC-TME under simplified culture conditions that preserve viability and metabolic activity. In addition to typical HCC therapies, sorafenib and anti-PD1 immunotherapy, the screen identified 2 drugs as potent anticancer agents capable of impacting the viability of TPCS: salinomycin and rottlerin. Salinomycin was further validated in vivo, significantly reducing tumor burden without evidence of toxicity.

conclusionsWe present a 3Rs (Reduction, Refinement, Replacement) approach for studying HCC biology and performing 96-well-scale drug screening within an intact, metabolically active TME, offering a more ethical and effective platform for drug discovery.

Indexed as

Antineoplastic AgentsCarcinoma, HepatocellularLiver NeoplasmsAnimalsCell Line, TumorDisease Models, AnimalDrug Evaluation, PreclinicalDrug Screening Assays, AntitumorHumansMiceTumor MicroenvironmentAntineoplastic Agentscancermodelscreening

Identifiers

PMID40377490
PMCPMC12088631

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LicenceCC BY
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Registered trials

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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.