Evidence map›Paper›PMID 34561461›Full record

ArticleNature communications2021

Bioengineered 3D models of human pancreatic cancer recapitulate in vivo tumour biology.

David Osuna de la Peña, Sara Maria David Trabulo, Estelle Collin, Ying Liu, Shreya Sharma, Marianthi Tatari, Diana Behrens, Mert Erkan, Rita T Lawlor, Aldo Scarpa and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

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12 more citing papers are in PubMed but not listed here.

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.

David Osuna de la PeñaBarts Cancer Institute, Queen Mary University of London, London, UK.ORCID 0000-0002-3332-3450
Sara Maria David TrabuloBarts Cancer Institute, Queen Mary University of London, London, UK.
Estelle CollinInstitute of Bioengineering, Queen Mary University of London, London, UK.
Ying LiuBarts Cancer Institute, Queen Mary University of London, London, UK.
Shreya SharmaBarts Cancer Institute, Queen Mary University of London, London, UK.
Marianthi TatariBarts Cancer Institute, Queen Mary University of London, London, UK.
Diana BehrensEPO - Experimental Pharmacology and Oncology GmbH, Berlin, Germany.
Mert ErkanDepartment of Surgery, Koç University School of Medicine, Istanbul, Turkey.
Rita T LawlorDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.
Aldo ScarpaDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.ORCID 0000-0003-1678-739X
Christopher HeeschenCenter for Single-Cell Omics, Shanghai Jiao Tong University School of Medicine, Shanghai, China. christopher.heeschen@icloud.com.ORCID 0000-0002-1158-8554
Alvaro MataInstitute of Bioengineering, Queen Mary University of London, London, UK. a.mata@nottingham.ac.uk.ORCID 0000-0002-6739-9111
Daniela LoessnerBarts Cancer Institute, Queen Mary University of London, London, UK. d.loessner@qmul.ac.uk.ORCID 0000-0001-5891-3441

Funding

Medical Research Council MR/R015651/1Wellcome Trust
6 · The paper itself

Abstract

Patient-derived in vivo models of human cancer have become a reality, yet their turnaround time is inadequate for clinical applications. Therefore, tailored ex vivo models that faithfully recapitulate in vivo tumour biology are urgently needed. These may especially benefit the management of pancreatic ductal adenocarcinoma (PDAC), where therapy failure has been ascribed to its high cancer stem cell (CSC) content and high density of stromal cells and extracellular matrix (ECM). To date, these features are only partially reproduced ex vivo using organoid and sphere cultures. We have now developed a more comprehensive and highly tuneable ex vivo model of PDAC based on the 3D co-assembly of peptide amphiphiles (PAs) with custom ECM components (PA-ECM). These cultures maintain patient-specific transcriptional profiles and exhibit CSC functionality, including strong in vivo tumourigenicity. User-defined modification of the system enables control over niche-dependent phenotypes such as epithelial-to-mesenchymal transition and matrix deposition. Indeed, proteomic analysis of these cultures reveals improved matrisome recapitulation compared to organoids. Most importantly, patient-specific in vivo drug responses are better reproduced in self-assembled cultures than in other models. These findings support the use of tuneable self-assembling platforms in cancer research and pave the way for future precision medicine approaches.

Indexed as

Models, BiologicalBioengineeringCarcinoma, Pancreatic DuctalCell Culture TechniquesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplastic Stem CellsPancreatic NeoplasmsReproducibility of ResultsStromal CellsTumor Cells, Cultured

Identifiers

PMID34561461
PMCPMC8463670

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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.