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Paper Details

PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.
Cancer Res
82
2017
PDX, PDX models, Patient, Patient-Derived Tumor Xenograft Models, cancer, mouse, oncology models, patient, patients, tumor, tumors
Animals, Databases as Topic, Disease Models, Animal, Humans, Mice, Neoplasms, Patients, Xenograft Model Antitumor Assays
Author NameAffiliation
Terrence F MeehanEuropean Molecular Biology Laboratory-European Bioinformatics Institute
Terrence F MeehanEuropean Molecular Biology Laboratory-European Bioinformatics Institute
Nathalie ConteEuropean Molecular Biology Laboratory-European Bioinformatics Institute
Nathalie ConteEuropean Molecular Biology Laboratory-European Bioinformatics Institute
Theodore C GoldsteinInstitute for Computational Health Sciences, University of California san francisco
Theodore C GoldsteinInstitute for Computational Health Sciences, University of California san francisco
Giorgio Inghirami
Mark A MurakamiDana-Farber Cancer Institute and Harvard Medical School
Sebastian BrabetzHopp-Children's Cancer Center at the NCT Heidelberg (KiTZ)
Sebastian BrabetzGerman Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK)
Sebastian BrabetzHopp-Children's Cancer Center at the NCT Heidelberg (KiTZ)
Sebastian BrabetzGerman Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK)
Zhiping Gu
Jeffrey Wiser
Patrick Dunn
Dale A Begley
Debra M Krupke
Andrea BertottiCandiolo Cancer Institute, University of Torino
Alejandra BrunaCancer Research UK Cambridge Institute, Cambridge Cancer Centre, University of Cambridge
Matthew H BrushDepartment of Medical Informatics and Clinical Epidemiology and OHSU Library, Oregon Health and Science University
Matthew H BrushDepartment of Medical Informatics and Clinical Epidemiology and OHSU Library, Oregon Health and Science University
Annette T ByrneRoyal College of Surgeons in Ireland
Carlos CaldasCancer Research UK Cambridge Institute, Cambridge Cancer Centre, University of Cambridge
Amanda L ChristieDana-Farber Cancer Institute and Harvard Medical School
Dominic ClarkEuropean Molecular Biology Laboratory-European Bioinformatics Institute
Heidi DowstDan L. Duncan Cancer Center, Baylor College of Medicine
Heidi DowstDan L. Duncan Cancer Center, Baylor College of Medicine
Jonathan R Dry
James H DoroshowCenter for Cancer Research, National Cancer Institute
James H DoroshowCenter for Cancer Research, National Cancer Institute
Olivier Duchamp
Yvonne A EvrardFrederick National Laboratory for Cancer Research
Stephane FerrettiNovartis Institutes for Biomedical Research
Kristopher K FreseCancer Research UK Manchester Institute, The University of Manchester
Neal C Goodwin
Danielle M Greenawalt
Melissa A HaendelDepartment of Medical Informatics and Clinical Epidemiology and OHSU Library, Oregon Health and Science University
Melissa A HaendelDepartment of Medical Informatics and Clinical Epidemiology and OHSU Library, Oregon Health and Science University
Els HermansKatholieke Universiteit Leuven
Peter J HoughtonGreehey Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio
Jos JonkersThe Netherlands Cancer Institute
Kristel KemperThe Netherlands Cancer Institute
Tin Oo KhorInstitute for Applied Cancer Science, Center for Co-Clinical Trial, The University of Texas MD Anderson Cancer Center
Michael T LewisBaylor College of Medicine
Michael T LewisBaylor College of Medicine
Kent C LloydUniversity of California Davis
Kent C LloydUniversity of California Davis
Jeremy MasonEuropean Molecular Biology Laboratory-European Bioinformatics Institute
Enzo MedicoCandiolo Cancer Institute, University of Torino
Steven B Neuhauser
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