Cargando…

Use case driven evaluation of open databases for pediatric cancer research

BACKGROUND: A plethora of Web resources are available offering information on clinical, pre-clinical, genomic and theoretical aspects of cancer, including not only the comprehensive cancer projects as ICGC and TCGA, but also less-known and more specialized projects on pediatric diseases such as PCGP...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeanquartier, Fleur, Jean-Quartier, Claire, Holzinger, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334395/
https://www.ncbi.nlm.nih.gov/pubmed/30675185
http://dx.doi.org/10.1186/s13040-018-0190-8
_version_ 1783387705902628864
author Jeanquartier, Fleur
Jean-Quartier, Claire
Holzinger, Andreas
author_facet Jeanquartier, Fleur
Jean-Quartier, Claire
Holzinger, Andreas
author_sort Jeanquartier, Fleur
collection PubMed
description BACKGROUND: A plethora of Web resources are available offering information on clinical, pre-clinical, genomic and theoretical aspects of cancer, including not only the comprehensive cancer projects as ICGC and TCGA, but also less-known and more specialized projects on pediatric diseases such as PCGP. However, in case of data on childhood cancer there is very little information openly available. Several web-based resources and tools offer general biomedical data which are not purpose-built, for neither pediatric nor cancer analysis. Additionally, many Web resources on cancer focus on incidence data and statistical social characteristics as well as self-regulating communities. METHODS: We summarize those resources which are open and are considered to support scientific fundamental research, while we address our comparison to 11 identified pediatric cancer-specific resources (5 tools, 6 databases). The evaluation consists of 5 use cases on the example of brain tumor research and covers user-defined search scenarios as well as data mining tasks, also examining interactive visual analysis features. RESULTS: Web resources differ in terms of information quantity and presentation. Pedican lists an abundance of entries with few selection features. PeCan and PedcBioPortal include visual analysis tools while the latter integrates published and new consortia-based data. UCSC Xena Browser offers an in-depth analysis of genomic data. ICGC data portal provides various features for data analysis and an option to submit own data. Its focus lies on adult Pan-Cancer projects. Pediatric Pan-Cancer datasets are being integrated into PeCan and PedcBioPortal. Comparing information on prominent mutations within glioma discloses well-known, unknown, possible, as well as inapplicable biomarkers. This summary further emphasizes the varying data allocation. Tested tools show advantages and disadvantages, depending on the respective use case scenario, providing inhomogeneous data quantity and information specifics. CONCLUSIONS: Web resources on specific pediatric cancers are less abundant and less-known compared to those offering adult cancer research data. Meanwhile, current efforts of ongoing pediatric data collection and Pan-Cancer projects indicate future opportunities for childhood cancer research, that is greatly needed for both fundamental as well as clinical research.
format Online
Article
Text
id pubmed-6334395
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63343952019-01-23 Use case driven evaluation of open databases for pediatric cancer research Jeanquartier, Fleur Jean-Quartier, Claire Holzinger, Andreas BioData Min Research BACKGROUND: A plethora of Web resources are available offering information on clinical, pre-clinical, genomic and theoretical aspects of cancer, including not only the comprehensive cancer projects as ICGC and TCGA, but also less-known and more specialized projects on pediatric diseases such as PCGP. However, in case of data on childhood cancer there is very little information openly available. Several web-based resources and tools offer general biomedical data which are not purpose-built, for neither pediatric nor cancer analysis. Additionally, many Web resources on cancer focus on incidence data and statistical social characteristics as well as self-regulating communities. METHODS: We summarize those resources which are open and are considered to support scientific fundamental research, while we address our comparison to 11 identified pediatric cancer-specific resources (5 tools, 6 databases). The evaluation consists of 5 use cases on the example of brain tumor research and covers user-defined search scenarios as well as data mining tasks, also examining interactive visual analysis features. RESULTS: Web resources differ in terms of information quantity and presentation. Pedican lists an abundance of entries with few selection features. PeCan and PedcBioPortal include visual analysis tools while the latter integrates published and new consortia-based data. UCSC Xena Browser offers an in-depth analysis of genomic data. ICGC data portal provides various features for data analysis and an option to submit own data. Its focus lies on adult Pan-Cancer projects. Pediatric Pan-Cancer datasets are being integrated into PeCan and PedcBioPortal. Comparing information on prominent mutations within glioma discloses well-known, unknown, possible, as well as inapplicable biomarkers. This summary further emphasizes the varying data allocation. Tested tools show advantages and disadvantages, depending on the respective use case scenario, providing inhomogeneous data quantity and information specifics. CONCLUSIONS: Web resources on specific pediatric cancers are less abundant and less-known compared to those offering adult cancer research data. Meanwhile, current efforts of ongoing pediatric data collection and Pan-Cancer projects indicate future opportunities for childhood cancer research, that is greatly needed for both fundamental as well as clinical research. BioMed Central 2019-01-15 /pmc/articles/PMC6334395/ /pubmed/30675185 http://dx.doi.org/10.1186/s13040-018-0190-8 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Jeanquartier, Fleur
Jean-Quartier, Claire
Holzinger, Andreas
Use case driven evaluation of open databases for pediatric cancer research
title Use case driven evaluation of open databases for pediatric cancer research
title_full Use case driven evaluation of open databases for pediatric cancer research
title_fullStr Use case driven evaluation of open databases for pediatric cancer research
title_full_unstemmed Use case driven evaluation of open databases for pediatric cancer research
title_short Use case driven evaluation of open databases for pediatric cancer research
title_sort use case driven evaluation of open databases for pediatric cancer research
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334395/
https://www.ncbi.nlm.nih.gov/pubmed/30675185
http://dx.doi.org/10.1186/s13040-018-0190-8
work_keys_str_mv AT jeanquartierfleur usecasedrivenevaluationofopendatabasesforpediatriccancerresearch
AT jeanquartierclaire usecasedrivenevaluationofopendatabasesforpediatriccancerresearch
AT holzingerandreas usecasedrivenevaluationofopendatabasesforpediatriccancerresearch