TY - JOUR
T1 - Systematic establishment of robustness and standards in patient-derived xenograft experiments and analysis
AU - NCI PDXNet Consortium
AU - Evrard, Yvonne A.
AU - Srivastava, Anuj
AU - Randjelovic, Jelena
AU - Doroshow, James H.
AU - Dean, Dennis A.
AU - Morris, Jeffrey S.
AU - Chuang, Jeffrey H.
AU - Kaochar, Salma
AU - Lewis, Michael T.
AU - Mitsiades, Nicolas
AU - Chen, Li
AU - Patidar, Rajesh
AU - Robinson, Peter N.
AU - Zhao, Zi Ming
AU - Bult, Carol J.
AU - Lloyd, Michael
AU - Neuhauser, Steven
AU - Woo, Xing Yi
AU - Moscow, Jeffrey A.
AU - Davis-Dusenbery, Brandi
AU - DiGiovanna, Jack
AU - Frech, Christian
AU - Jeon, Ryan
AU - Miletic, Nevena
AU - Rosains, Jacqueline
AU - Seth, Isheeta
AU - Stankovic, Tamara
AU - Stanojevic, Adam
AU - Carvajal-Carmona, Luis
AU - Chen, Moon
AU - Pan, Chong Xian
AU - Chen, Huiqin
AU - Davies, Michael
AU - Fang, Bingliang
AU - Ha, Min Jin
AU - Meric-Bernstam, Funda
AU - Roth, Jack
AU - Arunachalam, Sasi
AU - Nix, David
AU - Welm, Alana L.
AU - Welm, Bryan E.
AU - Davies, Sherri
AU - Ding, Li
AU - Govindan, Ramaswamy
AU - Li, Shunqiang
AU - Ma, Cynthia
AU - van Tine, Brian A.
AU - Herlyn, Meenhard
AU - Kossenkov, Andrew
AU - Rebecca, Vito
N1 - Publisher Copyright:
© 2020 American Association for Cancer Research.
PY - 2020/6
Y1 - 2020/6
N2 - Patient-derived xenografts (PDX) are tumor-in-mouse models for cancer. PDX collections, such as the NCI PDXNet, are powerful resources for preclinical therapeutic testing. However, variations in experimental and analysis procedures have limited interpretability. To determine the robustness of PDX studies, the PDXNet tested temozolomide drug response for three prevalidated PDX models (sensitive, resistant, and intermediate) across four blinded PDX Development and Trial Centers using independently selected standard operating procedures. Each PDTC was able to correctly identify the sensitive, resistant, and intermediate models, and statistical evaluations were concordant across all groups. We also developed and benchmarked optimized PDX informatics pipelines, and these yielded robust assessments across xenograft biological replicates. These studies show that PDX drug responses and sequence results are reproducible across diverse experimental protocols. In addition, we share the range of experimental procedures that maintained robustness, as well as standardized cloud-based workflows for PDX exome-sequencing and RNA-sequencing analyses and for evaluating growth.
AB - Patient-derived xenografts (PDX) are tumor-in-mouse models for cancer. PDX collections, such as the NCI PDXNet, are powerful resources for preclinical therapeutic testing. However, variations in experimental and analysis procedures have limited interpretability. To determine the robustness of PDX studies, the PDXNet tested temozolomide drug response for three prevalidated PDX models (sensitive, resistant, and intermediate) across four blinded PDX Development and Trial Centers using independently selected standard operating procedures. Each PDTC was able to correctly identify the sensitive, resistant, and intermediate models, and statistical evaluations were concordant across all groups. We also developed and benchmarked optimized PDX informatics pipelines, and these yielded robust assessments across xenograft biological replicates. These studies show that PDX drug responses and sequence results are reproducible across diverse experimental protocols. In addition, we share the range of experimental procedures that maintained robustness, as well as standardized cloud-based workflows for PDX exome-sequencing and RNA-sequencing analyses and for evaluating growth.
UR - http://www.scopus.com/inward/record.url?scp=85085905384&partnerID=8YFLogxK
U2 - 10.1158/0008-5472.CAN-19-3101
DO - 10.1158/0008-5472.CAN-19-3101
M3 - Article
C2 - 32152150
AN - SCOPUS:85085905384
SN - 0008-5472
VL - 80
SP - 2286
EP - 2297
JO - Cancer research
JF - Cancer research
IS - 11
ER -