Evaluation of Alternative In Vivo Drug Screening Methodology: A Single Mouse Analysis.

Traditional approaches to evaluating antitumor agents using human tumor xenograft models have generally used cohorts of 8 to 10 mice against a limited panel of tumor models. An alternative approach is to use fewer animals per tumor line, allowing a greater number of models that capture greater molecular/genetic heterogeneity of the cancer type. We retrospectively analyzed 67 agents evaluated by the Pediatric Preclinical Testing Program to determine whether a single mouse, chosen randomly from each group of a study, predicted the median response for groups of mice using 83 xenograft models. The individual tumor response from a randomly chosen mouse was compared with the group median response using established response criteria. A total of 2,134 comparisons were made. The single tumor response accurately predicted the group median response in 1,604 comparisons (75.16%). The mean tumor response correct prediction rate for 1,000 single mouse random samples was 78.09%. Models had a range for correct prediction (60%-87.5%). Allowing for misprediction of ± one response category, the overall mean correct single mouse prediction rate was 95.28%, and predicted overall objective response rates for group data in 66 of 67 drug studies. For molecularly targeted agents, occasional exceptional responder models were identified and the activity of that agent confirmed in additional models with the same genotype. Assuming that large treatment effects are targeted, this alternate experimental design has similar predictive value as traditional approaches, allowing for far greater numbers of models to be used that more fully encompass the heterogeneity of disease types. Cancer Res; 76(19); 5798-809. ©2016 AACR.

[1]  Patricia L. Harris,et al.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. , 2004, The New England journal of medicine.

[2]  J. Khan,et al.  Molecular Characterization of the Pediatric Preclinical Testing Panel , 2008, Clinical Cancer Research.

[3]  E. Sausville,et al.  Contributions of human tumor xenografts to anticancer drug development. , 2006, Cancer research.

[4]  Peter J Houghton,et al.  Initial testing (stage 1) of temozolomide by the pediatric preclinical testing program , 2013, Pediatric blood & cancer.

[5]  S. Keir,et al.  Synergistic Activity of PARP Inhibition by Talazoparib (BMN 673) with Temozolomide in Pediatric Cancer Models in the Pediatric Preclinical Testing Program , 2014, Clinical Cancer Research.

[6]  X. Wang,et al.  Emerging Insights into the Ependymoma Epigenome , 2013, Brain pathology.

[7]  A. Goldin,et al.  Progress report on the screening program at the Division of Cancer Treatment, National Cancer Institute. , 1980, Cancer treatment reviews.

[8]  Manuel Hidalgo,et al.  Patient-derived xenograft models: an emerging platform for translational cancer research. , 2014, Cancer discovery.

[9]  Peter J Houghton,et al.  Initial testing (stage 1) of AZD6244 (ARRY‐142886) by the pediatric preclinical testing program , 2010, Pediatric blood & cancer.

[10]  A. Goldin,et al.  The new NCI screen and its implications for clinical evaluation. , 1980, Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer.

[11]  C. Mullighan Genomic characterization of childhood acute lymphoblastic leukemia. , 2013, Seminars in hematology.

[12]  P. Meltzer,et al.  Lineage of origin in rhabdomyosarcoma informs pharmacological response , 2014, Genes & development.

[13]  David T. W. Jones,et al.  Decoding the regulatory landscape of medulloblastoma using DNA methylation sequencing , 2014, Nature.

[14]  R. Lock,et al.  Characterization of childhood acute lymphoblastic leukemia xenograft models for the preclinical evaluation of new therapies. , 2004, Blood.

[15]  S. Keir,et al.  Initial testing (stage 1) of the PARP inhibitor BMN 673 by the pediatric preclinical testing program: PALB2 mutation predicts exceptional in vivo response to BMN 673 , 2015, Pediatric blood & cancer.

[16]  S. Keir,et al.  Initial testing (stage 1) of sunitinib by the pediatric preclinical testing program , 2008, Pediatric blood & cancer.

[17]  F. Speleman,et al.  Emergence of new ALK mutations at relapse of neuroblastoma. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[18]  L. M. Cobb,et al.  The growth kinetics of xenografts of human colorectal tumours in immune deprived mice. , 1975, British Journal of Cancer.

[19]  P. Houghton,et al.  Growth and characterization of childhood rhabdomyosarcomas as xenografts. , 1982, Journal of the National Cancer Institute.

[20]  N. Cheung,et al.  Striking dichotomy in outcome of MYCN‐amplified neuroblastoma in the contemporary era , 2014, Cancer.

[21]  M. Junttila,et al.  Translational value of mouse models in oncology drug development , 2015, Nature Medicine.

[22]  S. Keir,et al.  Initial testing (stage 1) of a monoclonal antibody (SCH 717454) against the IGF‐1 receptor by the pediatric preclinical testing program , 2008, Pediatric blood & cancer.

[23]  I. Yang,et al.  Genetic expression profiles of adult and pediatric ependymomas: Molecular pathways, prognostic indicators, and therapeutic targets , 2013, Clinical Neurology and Neurosurgery.

[24]  S. Keir,et al.  Initial testing of a monoclonal antibody (IMC‐A12) against IGF‐1R by the pediatric preclinical testing program , 2010, Pediatric blood & cancer.

[25]  L. Staudt,et al.  Identification of FGFR4-activating mutations in human rhabdomyosarcomas that promote metastasis in xenotransplanted models. , 2009, The Journal of clinical investigation.

[26]  P. Houghton,et al.  Integrating pharmacology and in vivo cancer models in preclinical and clinical drug development. , 2004, European journal of cancer.

[27]  Jeffrey W. Clark,et al.  Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. , 2010, The New England journal of medicine.

[28]  Volker Hovestadt,et al.  Robust molecular subgrouping and copy-number profiling of medulloblastoma from small amounts of archival tumour material using high-density DNA methylation arrays , 2013, Acta Neuropathologica.

[29]  L. Tanoue,et al.  Anaplastic Lymphoma Kinase Inhibition in Non–Small-Cell Lung Cancer , 2012 .

[30]  S. Keir,et al.  Initial testing of the MDM2 inhibitor RG7112 by the pediatric preclinical testing program , 2013, Pediatric blood & cancer.

[31]  D. Taylor,et al.  Maintenance of biological and biochemical characteristics of human colorectal tumours during serial passage in immune-deprived mice. , 1978, British Journal of Cancer.

[32]  Joseph Zeidner,et al.  The pediatric preclinical testing program: Description of models and early testing results , 2007, Pediatric blood & cancer.

[33]  L. Muhlbaier,et al.  Experimental chemotherapy of human medulloblastoma cell lines and transplantable xenografts with bifunctional alkylating agents. , 1988, Cancer Research.

[34]  J. Maris Recent advances in neuroblastoma. , 2010, The New England journal of medicine.

[35]  P. Meltzer,et al.  Toward a Drug Development Path That Targets Metastatic Progression in Osteosarcoma , 2014, Clinical Cancer Research.

[36]  Samuel A. Williams,et al.  Patient-derived xenografts, the cancer stem cell paradigm, and cancer pathobiology in the 21st century , 2013, Laboratory Investigation.

[37]  A. Goldin,et al.  A prospective screening program: current screening and its status. , 1981, Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer.

[38]  G. Getz,et al.  Comprehensive genomic analysis of rhabdomyosarcoma reveals a landscape of alterations affecting a common genetic axis in fusion-positive and fusion-negative tumors. , 2014, Cancer discovery.

[39]  S. Keir,et al.  Initial testing of dasatinib by the pediatric preclinical testing program , 2008, Pediatric blood & cancer.

[40]  P. Houghton,et al.  AKR1C3 is a biomarker of sensitivity to PR-104 in preclinical models of T-cell acute lymphoblastic leukemia. , 2015, Blood.

[41]  R. Brenner,et al.  Phenotypic instability of Saos-2 cells in long-term culture. , 2005, Biochemical and biophysical research communications.

[42]  S. Gabriel,et al.  EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy , 2004, Science.

[43]  Peter Houghton,et al.  Credentialing preclinical pediatric xenograft models using gene expression and tissue microarray analysis. , 2007, Cancer research.

[44]  Joshua M. Korn,et al.  High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response , 2015, Nature Medicine.

[45]  Jean-Pierre Gillet,et al.  Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance , 2011, Proceedings of the National Academy of Sciences.

[46]  F. Barr,et al.  Classification of Rhabdomyosarcoma and Its Molecular Basis , 2013, Advances in Anatomic Pathology.

[47]  P. Houghton,et al.  Preclinical Chemotherapeutic Tumor Models of Common Childhood Cancers: Solid Tumors, Acute Lymphoblastic Leukemia, and Disseminated Neuroblastoma , 2007, Current protocols in pharmacology.