Evidence map›Paper›PMID 30260411›Full record

ArticleNucleic acids research2019

Cell Model Passports-a hub for clinical, genetic and functional datasets of preclinical cancer models.

Dieudonne van der Meer, Syd Barthorpe, Wanjuan Yang, Howard Lightfoot, Caitlin Hall, James Gilbert, Hayley E Francies, Mathew J Garnett

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

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

  1. Pooled it
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57 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

8 authors.

Dieudonne van der MeerWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Syd BarthorpeWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Wanjuan YangWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Howard LightfootWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Caitlin HallWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
James GilbertWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Hayley E FranciesWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Mathew J GarnettWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.

Funding

Cancer Research UK C44943/A22536Wellcome Trust 102696
6 · The paper itself

Abstract

In vitro cancer cell cultures are facile experimental models used widely for research and drug development. Many cancer cell lines are available and efforts are ongoing to derive new models representing the histopathological and molecular diversity of tumours. Cell models have been generated by multiple laboratories over decades and consequently their annotation is incomplete and inconsistent. Furthermore, the relationships between many patient-matched and derivative cell lines have been lost, and accessing information and datasets is time-consuming and difficult. Here, we describe the Cell Model Passports database; cellmodelpassports.sanger.ac.uk, which provides details of cell model relationships, patient and clinical information, as well as access to associated genetic and functional datasets. The Passports database currently contains curated details and standardized annotation for >1200 cell models, including cancer organoid cultures. The Passports will be updated with newly derived cell models and datasets as they are generated. Users can navigate the database via tissue, cancer-type, genetic feature and data availability to select a model most suitable for specific applications. A flexible REST-API provides programmatic data access and exploration. The Cell Model Passports are a valuable tool enabling access to high-dimensional genomic and phenotypic cancer cell model datasets empowering diverse research applications.

Indexed as

Cell Line, TumorDatabases, FactualAntineoplastic AgentsDatasets as TopicDrug DevelopmentGenomicsHumansModels, BiologicalOrganoidsAntineoplastic Agents

Identifiers

PMID30260411
PMCPMC6324059

What OpenQuestion holds

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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.