Open AccessAbstract 4524: Comparison of PDX, PDC, and PDOrg models from the National Cancer Institute’s Patient-Derived Models Repository (PDMR)
Author(s) -
Yvonne A. Evrard,
Dianne L. Newton,
Biswajit Das,
Sergio Y. Alcoser,
Kaitlyn Arthur,
Mariah Baldwin,
Carrie Bonomi,
Suzanne Borgel,
John Carter,
Tiffany Chase,
Alice Chen,
Lily Chen,
Nikki E. Craig,
Vivekananda Datta,
Emily Delaney,
Raymond Divelbiss,
Kelly Dougherty,
Thomas J. Forbes,
Kyle Georgius,
Joe Geraghty,
Marion Gibson,
Michelle Gottholm-Ahalt,
Tara Grinnage-Pulley,
Kelly Hedger,
Sierra N. Hoffman,
Chris Karlovich,
Wiem Lassoued,
Shahanawaz Jiwani,
Candace Mallow,
Chelsea McGlynn,
Mallorie Morris,
Jenna Moyer,
Mike Mullendore,
Matt Murphy,
Rajesh Patidar,
Kevin Plater,
Marianne Radzyminski,
Nicki Scott,
Luke H. Stockwin,
Howard Stotler,
Jesse Stottlemyer,
Savanna Styers,
Debbie Trail,
Tomas Vilimas,
Anna Wade,
Abigail Walke,
Thomas E. Walsh,
P. Mickey Williams,
Melinda G. Hollingshead,
James H. Doroshow
Publication year - 2019
Publication title -
cancer research
Language(s) - English
Resource type - Conference proceedings
eISSN - 1538-7445
pISSN - 0008-5472
DOI - 10.1158/1538-7445.am2019-4524
Subject(s) - cancer , concordance , exome , exome sequencing , medicine , computational biology , germline , translational research , cancer research , oncology , bioinformatics , biology , gene , mutation , genetics , pathology