High fidelity patient-derived xenografts for accelerating prostate cancer discovery and drug development.

Standardized and reproducible preclinical models that recapitulate the dynamics of prostate cancer are urgently needed. We established a bank of transplantable patient-derived prostate cancer xenografts that capture the biologic and molecular heterogeneity currently confounding prognostication and therapy development. Xenografts preserved the histopathology, genome architecture, and global gene expression of donor tumors. Moreover, their aggressiveness matched patient observations, and their response to androgen withdrawal correlated with tumor subtype. The panel includes the first xenografts generated from needle biopsy tissue obtained at diagnosis. This advance was exploited to generate independent xenografts from different sites of a primary site, enabling functional dissection of tumor heterogeneity. Prolonged exposure of adenocarcinoma xenografts to androgen withdrawal led to castration-resistant prostate cancer, including the first-in-field model of complete transdifferentiation into lethal neuroendocrine prostate cancer. Further analysis of this model supports the hypothesis that neuroendocrine prostate cancer can evolve directly from adenocarcinoma via an adaptive response and yielded a set of genes potentially involved in neuroendocrine transdifferentiation. We predict that these next-generation models will be transformative for advancing mechanistic understanding of disease progression, response to therapy, and personalized oncology.

[1]  Declan Murphy,et al.  A Preclinical Xenograft Model Identifies Castration-Tolerant Cancer-Repopulating Cells in Localized Prostate Tumors , 2013, Science Translational Medicine.

[2]  M. Frydenberg,et al.  A preclinical xenograft model of prostate cancer using human tumors , 2013, Nature Protocols.

[3]  F. Saad,et al.  Abiraterone acetate for treatment of metastatic castration-resistant prostate cancer: final overall survival analysis of the COU-AA-301 randomised, double-blind, placebo-controlled phase 3 study. , 2012, The Lancet. Oncology.

[4]  Kurt Miller,et al.  Increased survival with enzalutamide in prostate cancer after chemotherapy. , 2012, The New England journal of medicine.

[5]  Robert H. Bell,et al.  From sequence to molecular pathology, and a mechanism driving the neuroendocrine phenotype in prostate cancer , 2012, The Journal of pathology.

[6]  S. C. Sahinalp,et al.  nFuse: Discovery of complex genomic rearrangements in cancer using high-throughput sequencing , 2012, Genome research.

[7]  A. Sivachenko,et al.  Exome sequencing identifies recurrent SPOP, FOXA1 and MED12 mutations in prostate cancer , 2012, Nature Genetics.

[8]  Steven J. M. Jones,et al.  Integrated genome and transcriptome sequencing identifies a novel form of hybrid and aggressive prostate cancer , 2012, The Journal of pathology.

[9]  Benjamin J. Raphael,et al.  The Mutational Landscape of Lethal Castrate Resistant Prostate Cancer , 2016 .

[10]  K. Pienta,et al.  Common structural and epigenetic changes in the genome of castration-resistant prostate cancer. , 2012, Cancer research.

[11]  Robert H. Bell,et al.  Next Generation Sequencing of Prostate Cancer from a Patient Identifies a Deficiency of Methylthioadenosine Phosphorylase, an Exploitable Tumor Target , 2012, Molecular Cancer Therapeutics.

[12]  P. Troncoso,et al.  Modeling a Lethal Prostate Cancer Variant with Small-Cell Carcinoma Features , 2011, Clinical Cancer Research.

[13]  M. Gerstein,et al.  Molecular characterization of neuroendocrine prostate cancer and identification of new drug targets. , 2011, Cancer discovery.

[14]  Mark T. W. Ebbert,et al.  Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes , 2011, Nature Medicine.

[15]  M. Gleave,et al.  MicroRNAs Associated with Metastatic Prostate Cancer , 2011, PloS one.

[16]  Arul M Chinnaiyan,et al.  Common gene rearrangements in prostate cancer. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[17]  R. Montironi,et al.  ERG–TMPRSS2 rearrangement is shared by concurrent prostatic adenocarcinoma and prostatic small cell carcinoma and absent in small cell carcinoma of the urinary bladder: evidence supporting monoclonal origin , 2011, Modern Pathology.

[18]  C. Bieberich,et al.  ERG gene rearrangements are common in prostatic small cell carcinomas , 2011, Modern Pathology.

[19]  Eric S. Lander,et al.  The genomic complexity of primary human prostate cancer , 2010, Nature.

[20]  A. Jemal,et al.  Global Cancer Statistics , 2011 .

[21]  Yuzhuo Wang,et al.  Tumor Growth Inhibition by Olaparib in BRCA2 Germline-Mutated Patient-Derived Ovarian Cancer Tissue Xenografts , 2010, Clinical Cancer Research.

[22]  C. Sander,et al.  Integrative genomic profiling of human prostate cancer. , 2010, Cancer cell.

[23]  R. Nolley,et al.  Metabolic , Endocrine and Genitourinary Pathobiology Tissue Slice Grafts An in Vivo Model of Human Prostate Androgen Signaling , 2010 .

[24]  David E. Williams,et al.  Regression of castrate-recurrent prostate cancer by a small-molecule inhibitor of the amino-terminus domain of the androgen receptor. , 2010, Cancer cell.

[25]  M. Loda,et al.  Establishment and genomic characterization of mouse xenografts of human primary prostate tumors. , 2010, The American journal of pathology.

[26]  S. Lam,et al.  Patient-Derived First Generation Xenografts of Non–Small Cell Lung Cancers: Promising Tools for Predicting Drug Responses for Personalized Chemotherapy , 2010, Clinical Cancer Research.

[27]  C. Cooper,et al.  Steroid hormone receptors in prostate cancer: a hard habit to break? , 2009, Cancer cell.

[28]  D. Wilson Tissue , 2009, The Lancet.

[29]  Pier Paolo Pandolfi,et al.  Aberrant ERG expression cooperates with loss of PTEN to promote cancer progression in the prostate , 2009, Nature Genetics.

[30]  Jun Luo,et al.  Copy Number Analysis Indicates Monoclonal Origin of Lethal Metastatic Prostate Cancer , 2009, Nature Medicine.

[31]  M. Hidalgo,et al.  Direct In Vivo Xenograft Tumor Model for Predicting Chemotherapeutic Drug Response in Cancer Patients , 2009, Clinical pharmacology and therapeutics.

[32]  K. Garber From human to mouse and back: 'tumorgraft' models surge in popularity. , 2009, Journal of the National Cancer Institute.

[33]  J. Bahm Prostate Cancer: Biology, Genetics, and the New Therapeutics , 2008 .

[34]  M. Gleave,et al.  ASAP1, a gene at 8q24, is associated with prostate cancer metastasis. , 2008, Cancer research.

[35]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[36]  Benjamin J. Raphael,et al.  A sequence-based survey of the complex structural organization of tumor genomes , 2008, Genome Biology.

[37]  M. Wakefield,et al.  Unusual and underappreciated: small cell carcinoma of the prostate. , 2007, Seminars in oncology.

[38]  Joseph A DiMasi,et al.  Economics of new oncology drug development. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[39]  M. Rubin,et al.  TMPRSS2-ERG Fusion Prostate Cancer: An Early Molecular Event Associated With Invasion , 2006, The American journal of surgical pathology.

[40]  R. Vessella,et al.  Xenograft Models of Human Prostate Cancer , 2007 .

[41]  Joon-ha Ok,et al.  Clinical implications of neuroendocrine differentiation in prostate cancer , 2007, Prostate Cancer and Prostatic Diseases.

[42]  Ronald A. DePinho,et al.  Model organisms: The mighty mouse: genetically engineered mouse models in cancer drug development , 2006, Nature Reviews Drug Discovery.

[43]  S. Lam,et al.  Establishment in Severe Combined Immunodeficiency Mice of Subrenal Capsule Xenografts and Transplantable Tumor Lines from a Variety of Primary Human Lung Cancers: Potential Models for Studying Tumor Progression–Related Changes , 2006, Clinical Cancer Research.

[44]  Benjamin J. Raphael,et al.  Decoding the fine-scale structure of a breast cancer genome and transcriptome. , 2006, Genome research.

[45]  J. Tchinda,et al.  Recurrent fusion of TMPRSS2 and ETS transcription factor genes in prostate cancer. , 2006, Science.

[46]  Yuzhuo Wang,et al.  Development and characterization of efficient xenograft models for benign and malignant human prostate tissue , 2005, The Prostate.

[47]  P. Carroll,et al.  Quantitation of apoptotic activity following castration in human prostatic tissue in vivo , 2003, The Prostate.

[48]  R. Dahiya,et al.  A human prostatic epithelial model of hormonal carcinogenesis. , 2001, Cancer research.

[49]  M. Christian,et al.  Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials , 2001, British Journal of Cancer.

[50]  N. Kanomata,et al.  Establishment of a novel species- and tissue-specific metastasis model of human prostate cancer in humanized non-obese diabetic/severe combined immunodeficient mice engrafted with human adult lung and bone. , 2001, Cancer research.

[51]  P. Hornsby,et al.  Early events in the formation of a tissue structure from dispersed bovine adrenocortical cells following transplantation into scid mice , 1999, Journal of Molecular Medicine.

[52]  D. Grignon,et al.  Severe combined immunodeficient-hu model of human prostate cancer metastasis to human bone. , 1999, Cancer research.

[53]  A. Jemal,et al.  Global cancer statistics , 2011, CA: a cancer journal for clinicians.

[54]  K. A. Klein,et al.  Progression of metastatic human prostate cancer to androgen independence in immunodeficient SCID mice , 1997, Nature Medicine.

[55]  T. H. van der Kwast,et al.  Development of seven new human prostate tumor xenograft models and their histopathological characterization. , 1996, The American journal of pathology.

[56]  L. Young,et al.  Epstein-Barr virus (EBV)-associated lymphoproliferative disease in the SCID mouse model: implications for the pathogenesis of EBV-positive lymphomas in man , 1991, The Journal of experimental medicine.

[57]  G. Pinter Renal Lymph: Vital for the Kidney and Valuable for the Physiologist , 1988 .

[58]  A. Bogdén,et al.  Initial clinical trials of the subrenal capsule assay as a predictor of tumor response to chemotherapy , 1983, Cancer.

[59]  Knox Fg,et al.  Tissue pressures and fluid dynamics in the kidney. , 1976 .

[60]  F. Knox,et al.  Tissue pressures and fluid dynamics in the kidney. , 1976, Federation proceedings.

[61]  G. Cunha Epithelial-stromal interactions in development of the urogenital tract. , 1976, International review of cytology.