PDX Finder: A portal for patient-derived tumor xenograft model discovery

Nucleic Acids Res. 2019 Jan 8;47(D1):D1073-D1079. doi: 10.1093/nar/gky984.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Computational Biology / methods*
  • Databases, Factual*
  • Gene Expression Regulation, Neoplastic
  • Genomics / methods
  • Humans
  • Information Storage and Retrieval / methods
  • Information Storage and Retrieval / statistics & numerical data
  • Internet
  • Metadata / statistics & numerical data
  • Mice
  • Neoplasms / genetics*
  • Neoplasms / therapy*
  • Xenograft Model Antitumor Assays*