Journal Article (Review Article)

DKFZ-2017-01152

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Models in Translational Oncology: A Public Resource Database for Preclinical Cancer Research.

Galuschka, C. (First author)DKFZ* ; Proynova, R.DKFZ* ; Roth, B.DKFZ* ; Augustin, H.DKFZ* ; Müller-Decker, K. (Last author)DKFZ*

2017
AACR Philadelphia, Pa.

This record in other databases:  

Please use a persistent id in citations: doi:10.1158/0008-5472.CAN-16-3099

Abstract: The devastating diseases of human cancer are mimicked in basic and translational cancer research by a steadily increasing number of tumor models, a situation requiring a platform with standardized reports to share model data. Models in Translational Oncology (MiTO) database was developed as a unique Web platform aiming for a comprehensive overview of preclinical models covering genetically engineered organisms, models of transplantation, chemical/physical induction, or spontaneous development, reviewed here. MiTO serves data entry for metastasis profiles and interventions. Moreover, cell lines and animal lines including tool strains can be recorded. Hyperlinks for connection with other databases and file uploads as supplementary information are supported. Several communication tools are offered to facilitate exchange of information. Notably, intellectual property can be protected prior to publication by inventor-defined accessibility of any given model. Data recall is via a highly configurable keyword search. Genome editing is expected to result in changes of the spectrum of model organisms, a reason to open MiTO for species-independent data. Registered users may deposit own model fact sheets (FS). MiTO experts check them for plausibility. Independently, manually curated FS are provided to principle investigators for revision and publication. Importantly, noneditable versions of reviewed FS can be cited in peer-reviewed journals. Cancer Res; 77(10); 2557-63. ©2017 AACR.

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Contributing Institute(s):

1. A190 Vaskuläre Onkologie und Metastasierung (A190)
2. W420 Gruppe Müller-Decker (W420)
3. W310 Informationstechnologie (W310)
4. Medizinische Informatik in der Translationalen Onkologie (G230)
5. DKTK Heidelberg (L101)

Research Program(s):

1. 311 - Signalling pathways, cell and tumor biology (POF3-311) (POF3-311)

Appears in the scientific report 2017

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Database coverage:
; BIOSIS Previews ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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