Evidence map›Paper›PMID 33801782›Full record

ReviewInternational journal of molecular sciences2021

Patient-Derived Organoids as a Model for Cancer Drug Discovery.

Colin Rae, Francesco Amato, Chiara Braconi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.5field-weighted citation impact, top 5% of its field
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

36 citing papers in PubMed, 55 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Colin RaeInstitute of Cancer Sciences, University of Glasgow, Glasgow G61 1QH, UK.
Francesco AmatoInstitute of Cancer Sciences, University of Glasgow, Glasgow G61 1QH, UK.
Chiara BraconiInstitute of Cancer Sciences, University of Glasgow, Glasgow G61 1QH, UK.ORCID 0000-0003-4835-1259
University of Glasgow · GBBeatson West of Scotland Cancer Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the search for the ideal model of tumours, the use of three-dimensional in vitro models is advancing rapidly. These are intended to mimic the in vivo properties of the tumours which affect cancer development, progression and drug sensitivity, and take into account cell-cell interactions, adhesion and invasiveness. Importantly, it is hoped that successful recapitulation of the structure and function of the tissue will predict patient response, permitting the development of personalized therapy in a timely manner applicable to the clinic. Furthermore, the use of co-culture systems will allow the role of the tumour microenvironment and tissue-tissue interactions to be taken into account and should lead to more accurate predictions of tumour development and responses to drugs. In this review, the relative merits and limitations of patient-derived organoids will be discussed compared to other in vitro and ex vivo cancer models. We will focus on their use as models for drug testing and personalized therapy and how these may be improved. Developments in technology will also be considered, including the use of microfluidics, 3D bioprinting, cryopreservation and circulating tumour cell-derived organoids. These have the potential to enhance the consistency, accessibility and availability of these models.

Indexed as

Drug DiscoveryAnimalsAntineoplastic AgentsBioprintingCryopreservationDisease ProgressionDrug Screening Assays, AntitumorHumansLab-On-A-Chip DevicesMicrofluidicsNeoplasmsNeoplastic Cells, CirculatingOrganoidsTechnology, PharmaceuticalTumor MicroenvironmentAntineoplastic Agentsdrug screeningorganoidspatienttumour

Identifiers

PMID33801782
PMCPMC8038043
OpenAlexW3142728032

What Socratic 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 Socratic graph.