Evidence map›Paper›PMID 37438470›Full record

ReviewOncogene2023

Engineering prostate cancer in vitro: what does it take?

Adriana Buskin, Emma Scott, Ryan Nelson, Luke Gaughan, Craig N Robson, Rakesh Heer, Anastasia C Hepburn

Abstract readReview
In one paragraph

Review in Oncogene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
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  8. Article
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  10. 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

7 authors.

Adriana Buskin *Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.ORCID 0000-0001-6216-6186
Emma Scott *Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Ryan Nelson *Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Luke GaughanNewcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Craig N RobsonNewcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.ORCID 0000-0002-9628-6669
Rakesh HeerNewcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK. rakesh.heer@newcastle.ac.uk.ORCID 0000-0003-1952-7462
Anastasia C HepburnNewcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK. anastasia.hepburn@newcastle.ac.uk.ORCID 0000-0002-7645-4629

Funding

Cancer Research UK 25160Cancer Research UK CTRQQR-2021\100003Prostate Cancer UK TLD-PF19-002
6 · The paper itself

Abstract

A key challenge in the clinical management and cause of treatment failure of prostate cancer (PCa) is its molecular, cellular and clinical heterogeneity. Modelling systems that fully recapitulate clinical diversity and resistant phenotypes are urgently required for the development of successful personalised PCa therapies. The advent of the three-dimensional (3D) organoid model has revolutionised preclinical cancer research through reflecting heterogeneity and offering genomic and environmental manipulation that has opened up unparalleled opportunities for applications in disease modelling, high-throughput drug screening and precision medicine. Despite these remarkable achievements of organoid technology, several shortcomings in emulating the complex tumor microenvironment and dynamic process of metastasis as well as the epigenome profile limit organoids achieving true in vivo functionality. Technological advances in tissue engineering have enabled the development of innovative tools to facilitate the design of improved 3D cancer models. In this review, we highlight the current in vitro 3D PCa models with a special focus on organoids and discuss engineering approaches to create more physiologically relevant PCa organoid models and maximise their translational relevance that ultimately will help to realise the transformational power of precision medicine.

Indexed as

Prostatic NeoplasmsHumansMaleOrganoidsPrecision MedicineTumor Microenvironment

Identifiers

PMID37438470
PMCPMC10403358

What OpenQuestion holds

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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.