Evidence map›Paper›PMID 34917509›Full record

ReviewFrontiers in oncology2021

Advancements in 3D Cell Culture Systems for Personalizing Anti-Cancer Therapies.

Andrew M K Law, Laura Rodriguez de la Fuente, Thomas J Grundy, Guocheng Fang, Fatima Valdes-Mora, David Gallego-Ortega

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
–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

68 citing papers in PubMed, 1 synthesis or guideline pooled it.

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8 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

6 authors.

Andrew M K LawTumour Development Group, The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Laura Rodriguez de la FuenteTumour Development Group, The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Thomas J GrundyLife Sciences, Inventia Life Science Pty Ltd, Alexandria, NSW, Australia.
Guocheng FangSchool of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia.
Fatima Valdes-MoraCancer Epigenetic Biology and Therapeutics Lab, Children's Cancer Institute, Randwick, NSW, Australia.
David Gallego-OrtegaTumour Development Group, The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over 90% of potential anti-cancer drug candidates results in translational failures in clinical trials. The main reason for this failure can be attributed to the non-accurate pre-clinical models that are being currently used for drug development and in personalised therapies. To ensure that the assessment of drug efficacy and their mechanism of action have clinical translatability, the complexity of the tumor microenvironment needs to be properly modelled. 3D culture models are emerging as a powerful research tool that recapitulates

Indexed as

3D bioprinting3D culture systemsdrug resistance preventionextracellular matrixmicrofluidicspersonalised medicinetumor microenvironment

Identifiers

PMID34917509
PMCPMC8669727

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.