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@ARTICLE{Meehan:130888,
      author       = {T. F. Meehan and N. Conte and T. Goldstein and G. Inghirami
                      and M. A. Murakami and S. Brabetz$^*$ and Z. Gu and J. A.
                      Wiser and P. Dunn and D. A. Begley and D. M. Krupke and A.
                      Bertotti and A. Bruna and M. H. Brush and A. T. Byrne and C.
                      Caldas and A. L. Christie and D. A. Clark and H. Dowst and
                      J. R. Dry and J. H. Doroshow and O. Duchamp and Y. A. Evrard
                      and S. Ferretti and K. K. Frese and N. C. Goodwin and D.
                      Greenawalt and M. A. Haendel and E. Hermans and P. J.
                      Houghton and J. Jonkers and K. Kemper and T. O. Khor and M.
                      T. Lewis and K. C. K. Lloyd and J. Mason and E. Medico and
                      S. B. Neuhauser and J. M. Olson and D. S. Peeper and O. M.
                      Rueda and J. K. Seong and L. Trusolino and E. Vinolo and R.
                      J. Wechsler-Reya and D. M. Weinstock and A. Welm and S. J.
                      Weroha and F. Amant and S. Pfister$^*$ and M. Kool$^*$ and
                      H. Parkinson and A. J. Butte and C. J. Bult},
      title        = {{PDX}-{MI}: {M}inimal {I}nformation for {P}atient-{D}erived
                      {T}umor {X}enograft {M}odels.},
      journal      = {Cancer research},
      volume       = {77},
      number       = {21},
      issn         = {1538-7445},
      address      = {Philadelphia, Pa.},
      publisher    = {AACR},
      reportid     = {DKFZ-2017-05964},
      pages        = {e62 - e66},
      year         = {2017},
      abstract     = {Patient-derived tumor xenograft (PDX) mouse models have
                      emerged as an important oncology research platform to study
                      tumor evolution, mechanisms of drug response and resistance,
                      and tailoring chemotherapeutic approaches for individual
                      patients. The lack of robust standards for reporting on PDX
                      models has hampered the ability of researchers to find
                      relevant PDX models and associated data. Here we present the
                      PDX models minimal information standard (PDX-MI) for
                      reporting on the generation, quality assurance, and use of
                      PDX models. PDX-MI defines the minimal information for
                      describing the clinical attributes of a patient's tumor, the
                      processes of implantation and passaging of tumors in a host
                      mouse strain, quality assurance methods, and the use of PDX
                      models in cancer research. Adherence to PDX-MI standards
                      will facilitate accurate search results for oncology models
                      and their associated data across distributed repository
                      databases and promote reproducibility in research studies
                      using these models. Cancer Res; 77(21); e62-66. ©2017
                      AACR.},
      cin          = {B062 / L101},
      ddc          = {610},
      cid          = {I:(DE-He78)B062-20160331 / I:(DE-He78)L101-20160331},
      pnm          = {312 - Functional and structural genomics (POF3-312)},
      pid          = {G:(DE-HGF)POF3-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29092942},
      doi          = {10.1158/0008-5472.CAN-17-0582},
      url          = {https://inrepo02.dkfz.de/record/130888},
}