Cited by 198Cancer Genomics and DiagnosticsCancer Cells and MetastasisResearch Data Management Practices

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index; 2 of the 32 sources its claims cite were checked for support.

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

Open access

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.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Cell Model Passports is a database and web/API resource that curates >1200 cancer cell models, including organoids, with patient/sample/model relationships and links to genomic and drug sensitivity datasets. It aims to improve model selection, data integration, and reproducibility by standardizing annotation and identifiers.

Key findings

  • The Passports database contains curated details and standardized annotation for >1200 cell models, including cancer organoid cultures; over 30 attributes may be annotated per model, with lineage captured via 29 tissue categories, 44 cancer types, and 194 cancer type detail categories.
  • It provides >3500 genetic datasets and >1000 drug sensitivity datasets; 85% of cell models have associated somatic nucleotide variant, gene expression, copy number variation, or methylation datasets, and mutation status is provided for 455 cancer driver genes with drug profiling of ∼250 compounds from GDSC.
  • The resource captures patient–sample–model hierarchies and parent–child model relationships, using unique identifiers such as RRID, COSMIC, and CCLE, and STR/fingerprinting to confirm model–patient associations and reduce mis-identification.
  • Access is available through a web interface and a REST API following JSONAPI v1.0, with processed gene-level datasets and links to raw data.

Methods

  • Database construction used PostgreSQL v9.6 hosted at the Wellcome Sanger Institute; the REST API was developed in Python 3.6 with Flask v0.12 and SQLAlchemy v1.2, and the web interface used React v16.4 with Bootstrap v4.0.
  • Curation compiled information from commercial cell banks (ATCC, DSMZ, JCRB, ECACC), academic collaborators, Cellosaurus, CCLE, and publications; a constrained vocabulary was developed, and the patient/sample/model hierarchy was established using annotation plus resources cataloging mis-identified and synonymous models, with STR/fingerprinting to confirm associations.
  • The foundational model set includes >1200 established cancer cell lines and newly derived organoid models, including those used in the Sanger GDSC project and models from the Human Cancer Models Initiative; genomic features include microsatellite stability status, ploidy, mutational burden, and mutation status of 455 cancer driver genes.

Limitations

  • The paper states that currently all datasets have been generated by the Sanger Institute, and that the Passports currently focus on high quality and consistent datasets generated by the Wellcome Sanger Institute; future expansion to external resources is planned.
  • The paper states that the Passports will incorporate newly generated datasets from initiatives such as the Dependency Map at Sanger, indicating that some relevant datasets are not yet included.
  • Evident from the text: no formal user evaluation, benchmarking, or performance assessment of the web interface or API is reported; the paper is primarily descriptive of the resource.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1093/nar/gky872

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1. A schematic of the hierarchy used by the Cell Model Passports to capture the relationships that exist between cell models. The patient is at the pinnacle of the hierarchy (Patient 1) followed by the samples obtained (Sample 1 and 2) and models established (Model 1, 2 and 3). Establishment of further cell models from a pre-existing cell model are recorded by a parent-child link (Model 4). Image elements were obtained and adapted from Servier Medical Art under a Creative Commons Attribution 3.0 Unported License.
Figure 1. A schematic of the hierarchy used by the Cell Model Passports to capture the relationships that exist between cell models. The patient is at the pinnacle of the hierarchy (Patient 1) followed by the samples obtained (Sample 1 and 2) and models established (Model 1, 2 and 3). Establishment of further cell models from a pre-existing cell model are recorded by a parent-child link (Model 4). Image elements were obtained and adapted from Servier Medical Art under a Creative Commons Attribution 3.0 Unported License.CC BY · PubMed Central
Figure 2. An overview of the availability of various genomic and functional datasets. Currently, mutation, copy number variation (CNV), methylation, gene expression and drug sensitivity datasets are available. To emphasize the lack of sparsity, a subset of 956 models has been highlighted for which all five datasets are available.
Figure 2. An overview of the availability of various genomic and functional datasets. Currently, mutation, copy number variation (CNV), methylation, gene expression and drug sensitivity datasets are available. To emphasize the lack of sparsity, a subset of 956 models has been highlighted for which all five datasets are available.CC BY · PubMed Central
Figure 3. An example of a Passport Model Page. The model features and datasets are provided by the multiple information panels. Links are provided to NCI-Thesaurus definitions as well as raw and processed genomic and drug sensitivity data.
Figure 3. An example of a Passport Model Page. The model features and datasets are provided by the multiple information panels. Links are provided to NCI-Thesaurus definitions as well as raw and processed genomic and drug sensitivity data.CC BY · PubMed Central

Verification

Claims the paper makes

21 No basis given · 12 Not checked yet · 5 Own interpretation · 5 Own result · 2 Own method · 1 Partly supported · accuracy not yet measured

Verify all 30 references — free account

Show all 19 claims

  • It may state two separate claims as one. 20
  • Probably not a substantial claim. 15
27 of 27
  • The paper relies on this without support.

    Datasets associated with cell models are often inaccessible to non-computational, wet-lab scientists.

    “Furthermore, these datasets are often inaccessible to non-computational, wet-lab scientists.”
  • The paper relies on this without support.

    It is often difficult to determine what information is available for a particular cell line and how to access these data.

    “Although many cell lines have been genetically and functionally characterized, it is often difficult to determine what information is available for a particular cell line and how to access these data.”
2 of 2

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 42 references

Cited by

Sorted by citations

Metadata

Authors
van der Meer, D., Barthorpe, S., Yang, W., Lightfoot, H., Hall, C., Gilbert, J., Francies, H. E., & Garnett, M. J.
Affiliations
  • Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK
  • Wellcome Sanger Institute (GB)
Corresponding author
  • Francies, Hayley E
  • Garnett, Mathew J
Venue
Nucleic Acids Research
Published
2018-09-27
Volume
47
Issue
D1
Pages
D923-D929
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2893209354
Cited by
195
References
42
Citations by year
2026: 21 · 2025: 32 · 2024: 27 · 2023: 35 · 2022: 22 · 2021: 31 · 2020: 17 · 2019: 8 · 2018: 1
FWCI
4.31
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Cancer Research UK (C44943/A22536)
  • Stand Up To Cancer (SU2C-AACRDT1213)
  • Wellcome Trust (102696)
  • Wellcome Sanger Institute (206194)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
cancer cell lines, preclinical cancer models, tumor organoids, REST API, database curation, drug development models
MeSH terms
Drug Development, Antineoplastic Agents, Humans, Models, Biological, Organoids, Databases, Factual, Genomics, Cell Line, Tumor, Datasets as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review