Evidence map›Paper›PMID 39610249›Full record

ArticleCell reports methods2024

Patient-derived tumor organoid and fibroblast assembloid models for interrogation of the tumor microenvironment in esophageal adenocarcinoma.

Benjamin P Sharpe, Liliya A Nazlamova, Carmen Tse, David A Johnston, Jaya Thomas, Rhianna Blyth, Oliver J Pickering, Ben Grace, Jack Harrington, Rushda Rajak and 3 more

Abstract read
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  4. Collagen remodeling in breast cancer progression: from molecular mechanisms to diagnostic and therapeutic opportunities.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  13. Metabolic Profiling of DistinctInternational journal of molecular sciences · 2025
    Article
  14. Article
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  16. Article
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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

13 authors.

Benjamin P SharpeSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Liliya A NazlamovaSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; Early Cancer Institute, University of Cambridge, Department of Oncology, Box 197 Cambridge Biomedical Campus, Hills Road, Cambridge SB2 0XZ, UK.
Carmen TseSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
David A JohnstonBiomedical Imaging Unit, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Jaya ThomasBio-R Bioinformatics Research Facility, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Rhianna BlythSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Oliver J PickeringSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Ben GraceSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; Southampton Clinical Trials Unit, University of Southampton, Southampton, UK.
Jack HarringtonSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Rushda RajakUniversity Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Matthew Rose-ZerilliSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Zoe S WaltersSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Tim J UnderwoodSchool of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; Bio-R Bioinformatics Research Facility, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK. Electronic address: tju@soton.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) comprises all non-tumor elements of cancer and strongly influences disease progression and phenotype. To understand tumor biology and accurately test new therapeutic strategies, representative models should contain both tumor cells and normal cells of the TME. Here, we describe and characterize co-culture tumor-derived organoids and cancer-associated fibroblasts (CAFs), a major component of the TME, in matrix-embedded assembloid models of esophageal adenocarcinoma (EAC). We demonstrate that the assembloid models faithfully recapitulate the differentiation status of EAC and different CAF phenotypes found in the EAC patient TME. We evaluate cell phenotypes by combining tissue-clearing techniques with whole-mount immunofluorescence and histology, providing a practical framework for the characterization of cancer assembloids.

Indexed as

AdenocarcinomaCancer-Associated FibroblastsCoculture TechniquesEsophageal NeoplasmsOrganoidsTumor MicroenvironmentFibroblastsHumansassembloidscancer-associated fibroblastsCP: Cancer biologyCP: Stem cellesophageal adenocarcinomaorganoidstumor microenvironment

Identifiers

PMID39610249
PMCPMC11704619

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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.