Evidence map›Paper›PMID 35193494›Full record

ArticleBMC genomics2022

The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization.

Zdenka Dudová, Nathalie Conte, Jeremy Mason, Dalibor Stuchlík, Radim Peša, Csaba Halmagyi, Zinaida Perova, Abayomi Mosaku, Ross Thorne, Alex Follette and 17 more

Abstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

27 authors.

Zdenka Dudová *Institute of Computer Science, Masaryk University, Šumavská 15, 60200, Brno, Czech Republic.
Nathalie Conte *European Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Jeremy MasonEuropean Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Dalibor StuchlíkInstitute of Computer Science, Masaryk University, Šumavská 15, 60200, Brno, Czech Republic.
Radim PešaInstitute of Computer Science, Masaryk University, Šumavská 15, 60200, Brno, Czech Republic.
Csaba HalmagyiEuropean Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Zinaida PerovaEuropean Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Abayomi MosakuEuropean Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Ross ThorneEuropean Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Alex FolletteEuropean Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Ľuboslav PivarčInstitute of Computer Science, Masaryk University, Šumavská 15, 60200, Brno, Czech Republic.
Radim ŠašinkaInstitute of Computer Science, Masaryk University, Šumavská 15, 60200, Brno, Czech Republic.
Muhammad UsmanInstitute of Computer Science, Masaryk University, Šumavská 15, 60200, Brno, Czech Republic.
Steven NeuhauserThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA.
Dale A BegleyThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA.
Debra M KrupkeThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA.
Massimiliano FrassàDepartment of Oncology, University of Torino, 10060, Candiolo, TO, Italy.
Alessandro FioriDepartment of Oncology, University of Torino, 10060, Candiolo, TO, Italy.
Riccardo CorsiKairos3D, via Agostino da Montefeltro 2, 10134, Turin, Italy.
Luca VezzadiniKairos3D, via Agostino da Montefeltro 2, 10134, Turin, Italy.
Claudio IsellaDepartment of Oncology, University of Torino, 10060, Candiolo, TO, Italy.
Andrea BertottiDepartment of Oncology, University of Torino, 10060, Candiolo, TO, Italy.
Carol BultThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA.
Helen ParkinsonEuropean Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Enzo MedicoDepartment of Oncology, University of Torino, 10060, Candiolo, TO, Italy.
Terrence Meehan *European Molecular Biology Laboratory- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Aleš Křenek *Institute of Computer Science, Masaryk University, Šumavská 15, 60200, Brno, Czech Republic. ljocha@ics.muni.cz.ORCID http://orcid.org/0000-0002-3395-3196

Funding

horizon 2020 731105
6 · The paper itself

Abstract

backgroundPatient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons - ethical, economical, research cross validation etc. The EurOPDX Consortium was established 8 years ago to share such information and avoid duplicating efforts in developing new PDX mice models and unify approaches to support preclinical research. EurOPDX Data Portal is the unified data sharing platform adopted by the Consortium. MAIN BODY: In this paper we describe the main features of the EurOPDX Data Portal ( https://dataportal.europdx.eu/ ), its architecture and possible utilization by researchers who look for PDX mice models for their research. The Portal offers a catalogue of European models accessible on a cooperative basis. The models are searchable by metadata, and a detailed view provides molecular profiles (gene expression, mutation, copy number alteration) and treatment studies. The Portal displays the data in multiple tools (PDX Finder, cBioPortal, and GenomeCruzer in future), which are populated from a common database displaying strictly mutually consistent views. (SHORT)

conclusionEurOPDX Data Portal is an entry point to the EurOPDX Research Infrastructure offering PDX mice models for collaborative research, (meta)data describing their features and deep molecular data analysis according to users' interests.

Indexed as

NeoplasmsAnimalsHeterograftsHumansInformation DisseminationMicePrecision MedicineXenograft Model Antitumor AssaysDatabaseData harmonizationMolecular data analysisPDXResearch infrastructure

Identifiers

PMID35193494
PMCPMC8862363

What OpenQuestion holds

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LicenceCC BY
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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.