Document Type

Article

Publication Date

1-8-2019

Keywords

JMG

JAX Source

Nucleic Acids Res 2019 Jan 8; 47(D1):D1073-D1079

Volume

47

Issue

D1

First Page

1073

Last Page

1073

ISSN

1362-4962

PMID

30535239

DOI

https://doi.org/10.1093/nar/gky984

Grant

CA089713, CA204781

Abstract

Patient-derived tumor xenograft (PDX) mouse models are a versatile oncology research platform for studying tumor biology and for testing chemotherapeutic approaches tailored to genomic characteristics of individual patients' tumors. PDX models are generated and distributed by a diverse group of academic labs, multi-institution consortia and contract research organizations. The distributed nature of PDX repositories and the use of different metadata standards for describing model characteristics presents a significant challenge to identifying PDX models relevant to specific cancer research questions. The Jackson Laboratory and EMBL-EBI are addressing these challenges by co-developing PDX Finder, a comprehensive open global catalog of PDX models and their associated datasets. Within PDX Finder, model attributes are harmonized and integrated using a previously developed community minimal information standard to support consistent searching across the originating resources. Links to repositories are provided from the PDX Finder search results to facilitate model acquisition and/or collaboration. The PDX Finder resource currently contains information for 1985 PDX models of diverse cancers including those from large resources such as the Patient-Derived Models Repository, PDXNet and EurOPDX. Individuals or organizations that generate and distribute PDXs are invited to increase the 'findability' of their models by participating in the PDX Finder initiative at www.pdxfinder.org.

Comments

The authors wish to acknowledge the PDX resources who have contributed PDX metadata and information to PDX Finder, including members of PDXNet (https://www. pdxnetwork.org/), members of EurOPDX (http://europdx. eu/), The Jackson Laboratory PDX Resource (http:// tumor.informatics.jax.org/mtbwi/pdxSearch.do) and NCI’s PDMR (https://pdmr.cancer.gov/).

This open access article is licensed under a Creative Commons Attribution 4.0 International License

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