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Patient-derived xenograft (PDX) models are an effective preclinical in vivo platform for testing the efficacy of novel drugs and drug combinations for cancer therapeutics. Here we describe a repository of 79 genomically and clinically annotated lung cancer PDXs available from The Jackson Laboratory that have been extensively characterized for histopathologic features, mutational profiles, gene expression, and copy-number aberrations. Most of the PDXs are models of non–small cell lung cancer (NSCLC), including 37 lung adenocarcinoma (LUAD) and 33 lung squamous cell carcinoma (LUSC) models. Other lung cancer models in the repository include four small cell carcinomas, two large cell neuroendocrine carcinomas, two adenosquamous carcinomas, and one pleomorphic carcinoma. Models with both de novo and acquired resistance to targeted therapies with tyrosine kinase inhibitors are available in the collection. The genomic profiles of the LUAD and LUSC PDX models are consistent with those observed in patient tumors from The Cancer Genome Atlas and previously characterized gene expression-based molecular subtypes. Clinically relevant mutations identified in the original patient tumors were confirmed in engrafted PDX tumors. Treatment studies performed in a subset of the models recapitulated the responses expected on the basis of the observed genomic profiles. These models therefore serve as a valuable preclinical platform for translational cancer research. Significance: Patient-derived xenografts of lung cancer retain key features observed in the originating patient tumors and show expected responses to treatment with standard-of-care agents, providing experimentally tractable and reproducible models for preclinical investigations.

Patient-derived xenograft (PDX) models are an effective preclinical in vivo platform for testing the efficacy of novel drugs and drug combinations for cancer therapeutics. Here we describe a repository of 79 genomically and clinically annotated lung cancer PDXs available from The Jackson Laboratory that have been extensively characterized for histopathologic features, mutational profiles, gene expression, and copy-number aberrations. Most of the PDXs are models of non–small cell lung cancer (NSCLC), including 37 lung adenocarcinoma (LUAD) and 33 lung squamous cell carcinoma (LUSC) models. Other lung cancer models in the repository include four small cell carcinomas, two large cell neuroendocrine carcinomas, two adenosquamous carcinomas, and one pleomorphic carcinoma. Models with both de novo and acquired resistance to targeted therapies with tyrosine kinase inhibitors are available in the collection. The genomic profiles of the LUAD and LUSC PDX models are consistent with those observed in patient tumors from The Cancer Genome Atlas and previously characterized gene expression-based molecular subtypes. Clinically relevant mutations identified in the original patient tumors were confirmed in engrafted PDX tumors. Treatment studies performed in a subset of the models recapitulated the responses expected on the basis of the observed genomic profiles. These models therefore serve as a valuable preclinical platform for translational cancer research.Significance:Patient-derived xenografts of lung cancer retain key features observed in the originating patient tumors and show expected responses to treatment with standard-of-care agents, providing experimentally tractable and reproducible models for preclinical investigations.

Supplementary Table from A Genomically and Clinically Annotated Patient-Derived Xenograft Resource for Preclinical Research in Non–Small Cell Lung Cancer

Supplementary Figure from A Genomically and Clinically Annotated Patient-Derived Xenograft Resource for Preclinical Research in Non–Small Cell Lung Cancer

Patient-derived xenograft models (PDXs) are an effective preclinical in vivo platform for testing the efficacy of novel drug and drug combinations for cancer therapeutics. Here we describe a repository of 79 genomically and clinically annotated lung cancer PDXs available from The Jackson Laboratory that have been extensively characterized for histopathological features, mutational profiles, gene expression, and copy number aberrations. Most of the PDXs are models of non-small cell lung cancer (NSCLC), including 37 lung adenocarcinoma (LUAD) and 33 lung squamous cell carcinoma (LUSC) models. Other lung cancer models in the repository include four small cell carcinomas, two large cell neuroendocrine carcinomas, two adenosquamous carcinomas, and one pleomorphic carcinoma. Models with both de novo and acquired resistance to targeted therapies with tyrosine kinase inhibitors are available in the collection. The genomic profiles of the LUAD and LUSC PDX models are consistent with those observed in patient tumors of the same tumor type from The Cancer Genome Atlas (TCGA) and to previously characterized gene expression-based molecular subtypes. Clinically relevant mutations identified in the original patient tumors were confirmed in engrafted tumors. Treatment studies performed for a subset of the models recapitulated the responses expected based on the observed genomic profiles.SignificanceThe collection of lung cancer Patient Derived Xenograft (PDX) models maintained at The Jackson Laboratory retain both the histologic features and treatment-relevant genomic alterations observed in the originating patient tumors and show expected responses to treatment with standard-of-care agents. The models serve as a valuable preclinical platform for translational cancer research. Information and data for the models are freely available from the Mouse Models of Human Cancer database (MMHCdb, http://tumor.informatics.jax.org/mtbwi/pdxSearch.do).

Cisplatin-based therapy is highly toxic, but moderately effective in most cancers. Concurrent inhibition of cyclooxygenase-2 (COX-2) and soluble epoxide hydrolase (sEH) results in antitumor activity and has organ-protective effects. The goal of this study was to determine the antitumor activity of PTUPB, an orally bioavailable COX-2/sEH dual inhibitor, in combination with cisplatin and gemcitabine (GC) therapy. NSG mice bearing bladder cancer patient-derived xenografts were treated with vehicle, PTUPB, cisplatin, GC, or combinations thereof. Mouse experiments were performed with two different PDX models. PTUPB potentiated cisplatin and GC therapy, resulting in significantly reduced tumor growth and prolonged survival. PTUPB plus cisplatin was no more toxic than cisplatin single-agent treatment as assessed by body weight, histochemical staining of major organs, blood counts, and chemistry. The combination of PTUPB and cisplatin increased apoptosis and decreased phosphorylation in the MAPK/ERK and PI3K/AKT/mTOR pathways compared with controls. PTUPB treatment did not alter platinum–DNA adduct levels, which is the most critical step in platinum-induced cell death. The in vitro study using the combination index method showed modest synergy between PTUPB and platinum agents only in 5637 cell line among several cell lines examined. However, PTUPB is very active in vivo by inhibiting angiogenesis. In conclusion, PTUPB potentiated the antitumor activity of cisplatin-based treatment without increasing toxicity in vivo and has potential for further development as a combination chemotherapy partner. Mol Cancer Ther; 17(2); 474–83. ©2017 AACR.

Developing realistic preclinical models using clinical samples that mirror complex tumor biology and behavior are vital to advancing cancer research. While cell line cultures have been helpful in generating preclinical data, the genetic divergence between these and corresponding primary tumors has limited clinical translation. Conversely, patient-derived xenografts (PDX) in colorectal cancer are highly representative of the genetic and phenotypic heterogeneity in the original tumor. Coupled with high-throughput analyses and bioinformatics, these PDXs represent robust preclinical tools for biomarkers, therapeutic target, and drug discovery. Successful PDX engraftment is hypothesized to be related to a series of anecdotal variables namely, tissue source, cancer stage, tumor grade, acquisition strategy, time to implantation, exposure to prior systemic therapy, and genomic heterogeneity of tumors. Although these factors at large can influence practices and patterns related to xenotransplantation, their relative significance in determining the success of establishing PDXs is uncertain. Accordingly, we systematically examined the predictive ability of these factors in establishing PDXs using 90 colorectal cancer patient specimens that were subcutaneously implanted into immunodeficient mice. Fifty (56%) PDXs were successfully established. Multivariate analyses showed tissue acquisition strategy [surgery 72.0% (95% confidence interval (CI): 58.2–82.6) vs. biopsy 35% (95% CI: 22.1%–50.6%)] to be the key determinant for successful PDX engraftment. These findings contrast with current empiricism in generating PDXs and can serve to simplify or liberalize PDX modeling protocols. Better understanding the relative impact of these factors on efficiency of PDX formation will allow for pervasive integration of these models in care of colorectal cancer patients. Mol Cancer Ther; 16(7); 1435–42. ©2017 AACR.

// Narendra Bharathy 1 , Matthew N. Svalina 1 , Teagan P. Settelmeyer 1 , Megan M. Cleary 1 , Noah E. Berlow 1 , Susan D. Airhart 2 , Sunny Xiang 2 , James Keck 2 , James B. Hayden 3 , Jack F. Shern 4, 5 , Atiya Mansoor 6 , Melvin Lathara 7 , Ganapati Srinivasa 7 , David M. Langenau 8, 9 and Charles Keller 1 1 Children’s Cancer Therapy Development Institute, Beaverton, OR 97005, USA 2 The Jackson Laboratory, Sacramento, CA 95838, USA 3 Department of Orthopedics and Rehabilitation, Oregon Health & Science University, Portland, OR 97239, USA 4 Genetics Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Bethesda, MD 20892, USA 5 Pediatric Oncology Branch, Center for Cancer Research, National Institutes of Health, Bethesda, MD 20892, USA 6 Department of Pathology, Oregon Health & Science University, Portland, OR 97239, USA 7 Omics Data Automation, Beaverton, OR 97005, USA 8 Molecular Pathology, Cancer Center, and Regenerative Medicine, Massachusetts General Hospital, Boston, MA 02114, USA 9 Harvard Stem Cell Institute, Cambridge, MA 02129, USA Correspondence to: Narendra Bharathy, email: naren@cc-tdi.org Charles Keller, email: charles@cc-tdi.org Keywords: rhabdomyosarcoma, preclinical testing, patient-derived xenograft, GSK3β, myodifferentiation Received: December 07, 2016 Accepted: June 01, 2017 Published: June 16, 2017 ABSTRACT Rhabdomyosarcoma (RMS) is the most common childhood soft tissue sarcoma. RMS often arise from myogenic precursors and displays a poorly differentiated skeletal muscle phenotype most closely resembling regenerating muscle. GSK3β is a ubiquitously expressed serine-threonine kinase capable of repressing the terminal myogenic differentiation program in cardiac and skeletal muscle. Recent unbiased chemical screening efforts have prioritized GSK3β inhibitors as inducers of myodifferentiation in RMS, suggesting efficacy as single agents in suppressing growth and promoting self-renewal in zebrafish transgenic embryonal RMS (eRMS) models in vivo . In this study, we tested the irreversible GSK3β-inhibitor, tideglusib for in vivo efficacy in patient-derived xenograft models of both alveolar rhabdomyosarcoma (aRMS) and eRMS. Tideglusib had effective on-target pharmacodynamic efficacy, but as a single agent had no effect on tumor progression or myodifferentiation. These results suggest that as monotherapy, GSK3β inhibitors may not be a viable treatment for aRMS or eRMS.

Background Patient-derived xenograft (PDX) models are in vivo models of human cancer that have been used for translational cancer research and therapy selection for individual patients. The Jackson Laboratory (JAX) PDX resource comprises 455 models originating from 34 different primary sites (as of 05/08/2019). The models undergo rigorous quality control and are genomically characterized to identify somatic mutations, copy number alterations, and transcriptional profiles. Bioinformatics workflows for analyzing genomic data obtained from human tumors engrafted in a mouse host (i.e., Patient-Derived Xenografts; PDXs) must address challenges such as discriminating between mouse and human sequence reads and accurately identifying somatic mutations and copy number alterations when paired non-tumor DNA from the patient is not available for comparison. Results We report here data analysis workflows and guidelines that address these challenges and achieve reliable identification of somatic mutations, copy number alterations, and transcriptomic profiles of tumors from PDX models that lack genomic data from paired non-tumor tissue for comparison. Our workflows incorporate commonly used software and public databases but are tailored to address the specific challenges of PDX genomics data analysis through parameter tuning and customized data filters and result in improved accuracy for the detection of somatic alterations in PDX models. We also report a gene expression-based classifier that can identify EBV-transformed tumors. We validated our analytical approaches using data simulations and demonstrated the overall concordance of the genomic properties of xenograft tumors with data from primary human tumors in The Cancer Genome Atlas (TCGA). Conclusions The analysis workflows that we have developed to accurately predict somatic profiles of tumors from PDX models that lack normal tissue for comparison enable the identification of the key oncogenic genomic and expression signatures to support model selection and/or biomarker development in therapeutic studies. A reference implementation of our analysis recommendations is available at https://github.com/TheJacksonLaboratory/PDX-Analysis-Workflows. Electronic supplementary material The online version of this article (10.1186/s12920-019-0551-2) contains supplementary material, which is available to authorized users.

In this study, we investigated the impact of initial tumor volume, rate of tumor growth, cohort size, study duration, and data analysis method on chemotherapy treatment response classifications in patient-derived xenografts (PDXs). The analyses were conducted on cisplatin treatment response data for 70 PDX models representing ten cancer types with up to 28-day study duration and cohort sizes of 3–10 tumor-bearing mice. The results demonstrated that a 21-day dosing study using a cohort size of eight was necessary to reliably detect responsive models (i.e., tumor volume ratio of treated animals to control between 0.1 and 0.42)—independent of analysis method. A cohort of three tumor-bearing animals led to a reliable classification of models that were both highly responsive and highly nonresponsive to cisplatin (i.e., tumor volume ratio of treated animals to control animals less than 0.10). In our set of PDXs, we found that tumor growth rate in the control group impacted treatment response classification more than initial tumor volume. We repeated the study design factors using docetaxel treated PDXs with consistent results. Our results highlight the importance of defining endpoints for PDX dosing studies when deciding the size of cohorts to use in dosing studies and illustrate that response classifications for a study do not differ significantly across the commonly used analysis methods that are based on tumor volume changes in treatment versus control groups.

Bioinformatics workflows for analyzing genomic data obtained from xenografted tumor (e.g., human tumors engrafted in a mouse host) must address several challenges, including separating mouse and human sequence reads and accurate identification of somatic mutations and copy number aberrations when paired normal DNA from the patient is not available. We report here data analysis workflows that address these challenges and result in reliable identification of somatic mutations, copy number alterations, and transcriptomic profiles of tumors from patient derived xenograft models. We validated our analytical approaches using simulated data and by assessing concordance of the genomic properties of xenograft tumors with data from primary human tumors in The Cancer Genome Atlas (TCGA). The commands and parameters for the workflows are available at https://github.com/TheJacksonLaboratory/PDX-Analysis-Workflows.

Photodynamic therapy is a promising and effective non-invasive therapeutic approach for the treatment of bladder cancers. Therapies targeting HSP90 have the advantage of tumor cell selectivity and have shown great preclinical efficacy. In this study, we evaluated a novel multifunctional nanoporphyrin platform loaded with an HSP90 inhibitor 17AAG (NP-AAG) for use as a multi-modality therapy against bladder cancer. NP-AAG was efficiently accumulated and retained at bladder cancer patient-derived xenograft (PDX) over 7 days. PDX tumors could be synergistically eradicated with a single intravenous injection of NP-AAG followed by multiple light treatments within 7 days. NP-AAG mediated treatment could not only specifically deliver 17AAG and produce heat and reactive oxygen species, but also more effectively inhibit essential bladder cancer essential signaling molecules like Akt, Src, and Erk, as well as HIF-1α induced by photo-therapy. This multifunctional nanoplatform has high clinical relevance and could dramatically improve management for bladder cancers with minimal toxicity.

© 2015 Elsevier Inc. New approaches to optimization of cancer drug development in the laboratory and the clinic will be required to fully achieve the goal of individualized, precision cancer therapy. Improved preclinical models that more closely reflect the now recognized genomic complexity of human cancers are needed. Here we describe a collaborative research project that integrates core resources of The Jackson Laboratory Basic Science Cancer Center with genomics and clinical research facilities at the UC Davis Comprehensive Cancer Center to establish a clinically and genomically annotated patient-derived xenograft (PDX) platform designed to enhance new drug development and strategies for targeted therapies. Advanced stage non-small-cell lung cancer (NSCLC) was selected for initial studies because of emergence of a number of "druggable" molecular targets, and recent recognition of substantial inter- and intrapatient tumor heterogeneity. Additionally, clonal evolution after targeted therapy interventions make this tumor type ideal for investigation of this platform. Using the immunodeficient NOD scid gamma mouse, > 200 NSCLC tumor biopsies have been xenotransplanted. During the annotation process, patient tumors and subsequent PDXs are compared at multiple levels, including histomorphology, clinically applicable molecular biomarkers, global gene expression patterns, gene copy number variations, and DNA/chromosomal alterations. NSCLC PDXs are grouped into panels of interest according to oncogene subtype and/or histologic subtype. Multiregimen drug testing, paired with next-generation sequencing before and after therapy and timed tumor pharmacodynamics enables determination of efficacy, signaling pathway alterations, and mechanisms of sensitivity-resistance in individual models. This approach should facilitate derivation of new therapeutic strategies and the transition to individualized therapy.

Establishment of an in vivo small animal model of human tumor and human immune system interaction would enable preclinical investigations into the mechanisms underlying cancer immunotherapy. To this end, nonobese diabetic (NOD).Cg- PrkdcscidIL2rgtm1Wjl/Sz (null; NSG) mice were transplanted with human (h)CD34+ hematopoietic progenitor and stem cells, which leads to the development of human hematopoietic and immune systems [humanized NSG (HuNSG)]. HuNSG mice received human leukocyte antigen partially matched tumor implants from patient-derived xenografts [PDX; non-small cell lung cancer (NSCLC), sarcoma, bladder cancer, and triple-negative breast cancer (TNBC)] or from a TNBC cell line-derived xenograft (CDX). Tumor growth curves were similar in HuNSG compared with nonhuman immune-engrafted NSG mice. Treatment with pembrolizumab, which targets programmed cell death protein 1, produced significant growth inhibition in both CDX and PDX tumors in HuNSG but not in NSG mice. Finally, inhibition of tumor growth was dependent on hCD8+ T cells, as demonstrated by antibody-mediated depletion. Thus, tumor-bearing HuNSG mice may represent an important, new model for preclinical immunotherapy research.-Wang, M., Yao, L.-C., Cheng, M., Cai, D., Martinek, J., Pan, C.-X., Shi, W., Ma, A.-H., De Vere White, R. W., Airhart, S., Liu, E. T., Banchereau, J., Brehm, M. A., Greiner, D. L., Shultz, L. D., Palucka, K., Keck, J. G. Humanized mice in studying efficacy and mechanisms of PD-1-targeted cancer immunotherapy.

Patient-derived xenograft (PDX) models are in vivo models of human cancer that have been used for translational cancer research and therapy selection for individual patients. The Jackson Laboratory (JAX) PDX resource has over 450 models representing more than 20 different types of cancer. The models undergo rigorous quality control and are genomically characterized to identify somatic mutations, copy number alterations, and transcriptional profiles. Bioinformatics workflows for analyzing genomic data obtained from human tumors engrafted in a mouse host (i.e., Patient-Derived Xenografts; PDXs) must address challenges such as discriminating between mouse and human sequence reads and accurately identifying somatic mutations and copy number alterations when paired non-tumor DNA from the patient is not available for comparison. Here we describe bioinformatics analysis workflows and guidelines (https://github.com/TheJacksonLaboratory/PDX-Analysis-Workflows) that we developed specifically for the analysis of genomic data generated from PDX tumors. Our workflows incorporate commonly used software and public databases but are tailored to address the specific challenges of PDX genomics data analysis through parameter tuning and customized data filters and result in improved accuracy for the detection of somatic alterations in PDX models. We also report a gene expression-based classifier that can identify EBV-transformed tumors. Finally, to demonstrate the effectiveness of our workflows, we show the overall concordance of the genomic and transcriptomic profiles of the PDX models in the JAX PDX resource with relevant tumor types from The Cancer Genome Atlas (TCGA). Using the reliable results obtained from the PDX genomics data analysis, we are able to compare the patient tumor with different PDX passages, perform classification analysis to verify the annotations of PDX tumors, as well as associate genomic signatures of each PDX tumor with results from dosing studies. Acknowledgements The data analysis workflows reported in this publication were partially supported by the National Cancer Institute of the National Institutes of Health under Award Number P30CA034196. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The public portal for JAX PDX data is supported by R01CA089713. Citation Format: Xing Yi Woo, Anuj Srivastava, Joel H. Graber, Vinod Yadav, Vishal Kumar Sarsani, Al Simons, Glen Beane, Stephen Grubb, Guruprasad Ananda, Grace Stafford, Jeffrey H. Chuang, Susan D. Airhart, R. Krishna Karuturi, Joshy George, Carol J. Bult. Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): Challenges and guidelines [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1075.

Introduction and Objective: This purpose of this program is to develop and characterize PDXs from multiple organ sites and patients of multiple ethnic backgrounds, and to make these resources available to the scientific community for translational, precision medicine, and health disparity research. Methods: PDXs were directly developed from patient cancer specimens, molecularly characterized with next-generation sequencing, and annotated with clinical information. Various aspects of its applications were tested. Results: UC Davis, working in collaboration with The Jackson Laboratory (JAX), has developed PDX models, reflecting a wide range of tumor types, from 150 of our patients. Each of these models is annotated with clinical and genomic information. The fidelity of these PDXs was validated by the retention of histopathological features and the conservation of genetic aberrations (i.e., 92-97%) of the original patient tumors in bladder cancer PDXs tested. Extensive preclinical studies showed that these PDXs could potentially be used to screen multiple therapeutic agents simultaneously to identify the most efficacious drugs or drug combinations, re-purpose FDA-approved drugs, decipher the mechanisms of primary resistance, decrypt the mechanisms of secondary resistance, guide drug development, and identify biomarkers. For drug repurposing, the EGFR/ERBB2 dual inhibitor lapatinib effectively prolonged the overall survival (OS) of mice carrying ERBB2+ bladder cancer PDXs from 18.4 days to 25.4 days (p=0.007). For screening of targeted therapy in a PDX carrying PI3K, ERBB2 and Src alterations, only a PI3K inhibitor (BEZ235) prolonged the OS (p60% of the specimens coming from minority patients, for health disparity research. Conclusions: PDXs have great potential for cancer translational, precision medicine and health disparity research. The NCI-funded U54 center with minority PDXs is open for collaboration through the PDX Development and Trial Centers Research Network (PDXNet). Citation Format: Chong-Xian Pan, Hongyong Zhang, Ai-Hong Ma, Shuxiong Zeng, Maike Zimmermann, Clifford Tepper, Paul Henderson, Luis Carvajal-Carmona, Regina Gandour-Edwards, Moon Chen, Susan Airhart, Ralph de Vere Whtie. A patient-derived xenograft (PDX) platform for cancer translational, precision medicine and health disparity research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1067.

e14660 Background: Molecular Tumor Boards (MTB) are often the critical decision-making step in identifying genome-guided treatments for patients with difficult-to-treat cancers, e.g. BRAF mutated metastatic colon cancers. A common challenge for MTBs is prioritizing between two or more actionable variants in a tumor. A potential solution to this challenge is to incorporate drug response in Patient-derived xenografts (PDX) models into MTB deliberations. The goal of this study was to evaluate the feasibility of using PDX models to elucidate drug-effectiveness in BRAF-mutated cancer as an example of a common clinical scenario. Methods: We selected BRAF-mutated PDX models from the JAX PDX resource based on the presence of an activating BRAF mutation and a second actionable variant from the JAX Cancer Treatment Profile (CTP). Somatic mutation data from PDX tumors were presented to members of the Intermountain MTB. PDX models were then treated with drugs recommended by the MTB; outcomes based on tumor growth inhibition (TGI) were shared with the MTB. Results: Gene/variant targets, associated drugs for the 2nd mutation and responses are described in the table. The MTB members determined that PDX data presented in TGI format is helpful in MTB deliberations. Activity of BRAF-targeted therapy was expected while the low activity of olaparib in the BRCA1-mutated colon cancer model was unexpected. The MTB then discussed molecular mechanisms that contributed to these outcomes. Conclusions: The pilot study demonstrated that utilizing PDX drug response data as an additional molecular annotation for MTB deliberations is feasible. Future studies will further optimize this process. [Table: see text]

© 2016 Elsevier Ltd The overall prognosis of bladder cancer has not been improved over the last 30 years and therefore, there is a great medical need to develop novel diagnosis and therapy approaches for bladder cancer. We developed a multifunctional nanoporphyrin platform that was coated with a bladder cancer-specific ligand named PLZ4. PLZ4-nanoporphyrin (PNP) integrates photodynamic diagnosis, image-guided photodynamic therapy, photothermal therapy and targeted chemotherapy in a single procedure. PNPs are spherical, relatively small (around 23 nm), and have the ability to preferably emit fluorescence/heat/reactive oxygen species upon illumination with near infrared light. Doxorubicin (DOX) loaded PNPs possess slower drug release and dramatically longer systemic circulation time compared to free DOX. The fluorescence signal of PNPs efficiently and selectively increased in bladder cancer cells but not normal urothelial cells in vitro and in an orthotopic patient derived bladder cancer xenograft (PDX) models, indicating their great potential for photodynamic diagnosis. Photodynamic therapy with PNPs was significantly more potent than 5-aminolevulinic acid, and eliminated orthotopic PDX bladder cancers after intravesical treatment. Image-guided photodynamic and photothermal therapies synergized with targeted chemotherapy of DOX and significantly prolonged overall survival of mice carrying PDXs. In conclusion, this uniquely engineered targeting PNP selectively targeted tumor cells for photodynamic diagnosis, and served as effective triple-modality (photodynamic/photothermal/chemo) therapeutic agents against bladder cancers. This platform can be easily adapted to individualized medicine in a clinical setting and has tremendous potential to improve the management of bladder cancer in the clinic.

Embryonal rhabdomyosarcoma (eRMS) is one of the most common soft tissue sarcomas in children and adolescents. Parameningeal eRMS is a variant that is often more difficult to treat than eRMS occurring at other sites. A 14-year-old female with persistent headaches and rapid weight loss was diagnosed with parameningeal eRMS. She progressed and died despite chemotherapy with vincristine, actinomycin-D, and cyclophosphamide plus 50.4 Gy radiation therapy to the primary tumor site. Tumor specimens were acquired by rapid autopsy and tumor tissue was transplanted into immunodeficient mice to create a patient-derived xenograft (PDX) animal model. As autopsy specimens had an ALK R1181C mutation, PDX tumor bearing animals were treated with the pan-kinase inhibitor lestaurtinib but demonstrated no decrease in tumor growth, suggesting that single agent kinase inhibitor therapy may be insufficient in similar cases. This unique parameningeal eRMS PDX model is publicly available for preclinical study.

381 Background: Immunotherapy with anti-programmed cell death 1 (PD1) or PD ligand 1 (PD-L1) antibody has emerged as a promising therapeutic modality, but has a response rate of approximately 20% in BCa. There are various drawbacks associated with current animal models. The objective of this study is to establish and characterize humice carrying PDXs in which both the immune cells and BCa cells are derived from humans. Methods: NOD-scid IL2Rgammanull or NSG, mice received CD34+ hematopoietic progenitor cells (HPC) cells i.v. after whole body radiation. PDXs were established through direct implantation of human BCa clinical specimens into NSG mice. Immune cell subpopulations were analyzed through flow cytometry analysis. Humice carrying HLA-unmatched PDXs were treated with an anti-PD1 antibody pemborlizumab (pembro) or in combination with a BKT/ITK inhibitor ibrutinib to determine the anti-tumor efficacy and toxicity. Results: PDXs retained the morphology fidelity and 92-97% of genetic alterations of parental patient cancers. Of the first 8 PDXs tested, 3 had high PD-L1 ( > 10 FPKM) as determined by RNA-seq which was further confirmed with flow cytometry analysis. Major human immune cell sub-populations were reconstituted in humice. No xenograft versus host disease was observed before pembro treatment. In humice with HPC donor 6466, pembro significantly inhibited tumor growth (p = 0.0016 at Day 29) of PDX BL293, but had no effect in another PDX BL440 with the same HPC donor 6466, or with the same PDX BL293 but with a different HPC donor 912. In another set of humice (HPC donor 710) carrying PDX BL293, pembro alone inhibited tumor growth. However, addition of ibrutinib did not potentiate the efficacy of pembro, but increased toxicity. Tumor regression with pembro treatment was associated with decrease of CD4+PD1+, CD8+PD1+ cells at peripheral blood and increased CD45+ and CD8+ cells in PDXs. Conclusions: Humice carrying PDXs reconstitute with human immune system, and can potentially be used to screen for effective immunotherapeutic agents or combinations, and to study resistant mechanisms.

e20561Background: Constitutively activating KRAS mutations (mt) comprise ~28% of lung adenocarcinoma. Despite their accepted role as oncogenic drivers, effective targeted intervention remains elusi...

Background The overarching goal of this project is to establish a patient-derived bladder cancer xenograft (PDX) platform, annotated with deep sequencing and patient clinical information, to accelerate the development of new treatment options for bladder cancer patients. Herein, we describe the creation, initial characterization and use of the platform for this purpose. Methods and Findings Twenty-two PDXs with annotated clinical information were established from uncultured unselected clinical bladder cancer specimens in immunodeficient NSG mice. The morphological fidelity was maintained in PDXs. Whole exome sequencing revealed that PDXs and parental patient cancers shared 92–97% of genetic aberrations, including multiple druggable targets. For drug repurposing, an EGFR/HER2 dual inhibitor lapatinib was effective in PDX BL0440 (progression-free survival or PFS of 25.4 days versus 18.4 days in the control, p = 0.007), but not in PDX BL0269 (12 days versus 13 days in the control, p = 0.16) although both expressed HER2. To screen for the most effective MTT, we evaluated three drugs (lapatinib, ponatinib, and BEZ235) matched with aberrations in PDX BL0269; but only a PIK3CA inhibitor BEZ235 was effective (p

e15528 Background: The goal of this project is to develop and characterize a bladder cancer patient-derived xenograft (PDX) platform, and use this platform to determine the efficacy of bladder canc...

e15522 Background: The objective of this project was to establish a patient-derived bladder cancer xenograft (PDX) platform annotated with genomic and patient clinical information to guide precisio...

The Jackson Laboratory (JAX) has developed a resource of human tumors implanted into immune deficient mice (patient derived xenografts; PDX) as a platform for testing standard of care and novel therapeutic options for Triple Negative Breast Cancer. PDX models provide an advantage over cell culture based models for testing therapeutic interventions because they retain properties such as tumor cell heterogeneity that are critical to the biological properties of a patient’s tumor and response to treatment. Tumor material acquired from biopsy or surgical resection was implanted subcutaneously into the flank of immune deficient NOD-scid IL2r gamma-chain null (NSG) mice. The PDX resource currently contains 21 established breast cancer PDX models (12 TNBC) with 24 additional models currently in development. Two of the established TNBC PDX models have BRCA1 mutations. The median age of the patients from whom tumor material was obtained for all breast models is 53 (45-89). Tumors that successfully engrafted were characterized for somatic mutations using the new JAX Clinical Cancer Panel, Copy Number Variants using the Affymetrix human 6.0 SNP array, and gene expression using both Affymetrix U133 plus v2 and RNA-Seq. Normalized gene expression was analyzed for characteristic patterns in a pan-cancer approach across all PDX models and further compared with the previously identified TNBC molecular subtypes (Lehmann et al. 2011. JCI 121:2750-2767). The combination of principal components analysis and classification via expression pattern resulted in putative matches of models to most of the known molecularly defined subtypes of TNBC tumors. Tumor bearing mice for the TNBC PDX models have been treated with docetaxel, cisplatin, cyclophosphamide and doxorubicin. Preliminary studies of tumor response to these treatment regimes revealed systematic differences that can be correlated with features of the genomic analysis, including expression subtype characterization. The JAX collection of TNBC cancer PDX models is a well-annotated, publically available resource of models with deep genomic characterization and standard of care therapy response data for use in the development of advanced therapeutic options. Genomically defined subgroups within the collection suggest strategies to refine patient selection and treatment algorithms. Information about the models along with summarized genomic data is publicly available at the Mouse Tumor Biology database PDX web portal (http://tumor.informatics.jax.org). Citation Format: Joel H Graber, James G Keck, Susan D Airhart, Carol J Bult, Edison T Liu. Molecular characterization of a patient-derived xenograft (PDX) resource for triple negative breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P6-06-02.

315 Background: The prognosis for bladder cancer has not changed in 30 years. No targeted agents have been approved even though reproducible genetic abnormalities have been identified. The goal of this project was to develop and characterize a patient-derived xenograft (PDX) platform to determine the efficacy of molecularly guided targeted and chemotherapy therapy, drug re-purpose, study resistance mechanisms, and design novel therapy to overcome resistance. Methods: PDXs were developed from direct implantation of uncultured patient bladder cancer specimens into immunodeficient NSG mice. Deep sequencing in combination with computational biology was performed to characterize PDXs and identify druggable genetic aberrations that guided efficacy screening and mechanistic studies. Results: Nineteen PDXs have been established with annotated clinical information. PDXs retained morphology and 92-97% genetic aberrations of parental patient cancers. Deep sequencing revealed multiple druggable genetic aberrations, including the fibroblast growth factor receptor 3 (FGFR3) and other tyrosine kinase receptor pathways. Compared to the progression-free survival (PFS) of 9.5 days in the control arm, matched therapy with an FGFR3 inhibitor BGJ398 prolonged PFS to 18.5 days (p=2.61 X 10-6) in PDXs overexpressing FGFR3. Serial biopsies during treatment revealed reactivation of the downstream pathways coincided with development of resistance while targeting these downstream effectors reversed resistance (12 vs. 22 days, p=0.001). Efficacy studies also revealed that PDXs had differential response to chemotherapeutic drugs that could potentially guide selection of chemotherapeutic drugs for first- and second-line therapies. To determine the clinical applicability of non-myoinvasive bladder cancer, we further developed an orthotopic PDX model that mimiced disease progression to invasive and metastatic bladder cancer. Conclusions: The PDX platform allows screening for multiple targeted therapy, chemotherapy or combinations simultaneously for the most efficacious drugs or combination, and serial biopsies during treatment to study drug resistance, a task not possibly replicable at the clinical setting.

323 Background: We recently developed a bladder cancer-specific targeting ligand named PLZ4, nanometer-scale micelles and nanoporphyrin. Here we report the diagnostic and therapeutic applications of these nanotheranostics coated with PLZ4. Methods: PLZ4 was synthesized through solid phase synthesis. Bladder cancer-specific PLZ4-coated nanomicelles (PNM) and nanoporphyrin (PNP) were developed through conjugating the nanotheranostics with PLZ4 on the surface, and loaded with therapeutic and/or imaging agents in the core. Bladder cancer cell lines and patient-derived xenografts (PDXs) were used to determine the diagnostic and therapeutic applications. Results: In vitro studies with cell lines revealed that both PNM and PNP could specifically deliver the drug load to bladder cancer cells, but not to adjacent confounding cells. After intravenous injection, PNM loaded with paclitaxel could specifically deliver the drug load to xenografts developed from a human and a dog bladder cancer cell line, and a PDX, but not to lung cancer xenografts in the same mice. These paclitaxel-loaded PNM could overcome cisplatin resistance, and prolong the overall survival of mice carrying PDXs from 27 days with free paclitaxel to 76 days (p

e22151 Background: To address the demand for new pre-clinical models,The Jackson Laboratory (JAX), in collaboration with founding member UCDCC and 24 other medical centers, has engrafted primary an...

8025 Background: A large series of non-small cell lung cancer (NSCLC) PDX models has been established through direct implantation of patient tumor material into immune compromised mice. Here we rep...

4536 Background: Almost all cancers harbor multiple genetic alterations as determined by omics technologies, but most of these alterations are not driver ones critical for tumorigenesis. Hence, the...

THE Prader–Willi syndrome consists of muscular hypotonia, obesity, short stature, small hands and feet, hypogonadism, and mental retardation. Although an autosomal-recessive mode of inheritance has...

The Miller-Dieker Syndrome (MDS) consists of lissencephaly, characteristic facies, pre- and postnatal growth retardation, plus various other birth defects. Autosomal recessive inheritance has been presumed based on four reported families with two or more affected siblings. We present substantial evidence that monosomy 17p13.3 causes the MDS phenotype. This includes two patients with ring chromosome 17, one patient with a de novo 17p13 deletion, and one patient with monosomy 17p due to an unbalanced 7p; 17p translocation. We report the first prenatal diagnosis of MDS in a 20-week fetus from this latter family. Additionally, we report a balanced translocation between chromosome 17 and different autosomes (8, 12, and 15) in three of the four familial cases of lissencephaly. The finding of a chromosomal basis for this presumed autosomal recessive disorder significantly alters genetic counseling and makes prenatal diagnosis possible in some families.

We have extended our previous studies of fra(X) expression in somatic cell hybrids to the analysis of a carrier female with a low level of expression and to an unaffected, transmitting male who shows no expression in lymphocytes or lymphoblasts. Optimum conditions for fra(X) expression was treatment with 10(-8) M FUdR for 16 hours. In recent experiments, addition of 2.2 mM caffeine 2 hours before harvest was found to increase expression consistently. Two clones from the carrier female containing the fra(X) chromosome but not the normal X showed expression of 2-4%, indicating that expression in heterozygous females is not influenced by the presence or absence of the normal X. Expression rate was increased to 20% by exposure to FUdR plus caffeine. Analysis of hybrids containing only the fra(X) in an inactive state, and after reactivation by 5-azacytidine, showed no change in the frequency of expression. A hybrid clone from the nonexpressing, transmitting male containing only the X and chromosome 13, showed expression ranging from 2% without caffeine to 12% with caffeine in three different experiments. The ability to induce fra(X) expression in hybrid from this nonexpressing male may be explained in one of several ways: 1) a second mutation has occurred, 2) an autosomal suppressor locus was lost, or 3) the hamster genome or unusually short cell cycle lowers the threshold for expression, particularly in the presence of caffeine.

A somatic cell hybrid containing a single human X chromosome bearing the Xq27 fragile site was lethally irradiated and re-hybridized to its HPRT- Chinese hamster parent. One of 24 colonies surviving selection for HPRT was found to have retained human G6PD but not PGK. This line, X3000-11, which shows Xq24-qter translocated to a hamster chromosome by trypsin G-banding and a single human chromatin fragment corresponding to this segment of the X by G-11 staining, expresses the fragile site on exposure to 5-fluorodeoxyuridine. Dot blots using total human DNA suggest that X3000-11 retains approximately 0.2% of the human genome. By Southern blotting, X3000-11 retains Factor IX, DXS11 and DXS42 but lacks DXYS1, DXS3 and DXS17. This hybrid is being used to construct a cosmid library in the vector pCOS2 from which a sub-library of 500-1000 clones of human origin will be isolated using in vivo recombination with cloned Alu and Kpn family repeats. Such a sub-library will greatly facilitate chromosome walking to the fragile site as well as the testing of individual clones for their ability to create a folate-sensitive fragile site by DNA transfer into permissive Chinese hamster recipient cells.

Yunis and Soreng recently demonstrated enhanced expression of common fragile sites as and of fra(X) when 2.2 mM caffeine is added to FUdR treated lymphocyte cultures 6 hours before harvest. We failed to replicate this finding for fra(X) expression in lymphocytes. However, we do find a consistent increase in expression levels in somatic cell hybrids between a Chinese hamster cell line and 3 unrelated individuals with the fra(X) mutation when caffeine is present for the last 2 hours before harvest. This was particularly true for "low-expressing" cell lines, in which a 4-6 fold increase was observed. Using a thymidylate synthase deficient hybrid which could be blocked in the S phase by thymidine deprivation, we found that caffeine significantly reduced the recovery time from thymidine release to mitosis. This produced the highest level of fra(X) expression (48%) only one hour after release from thymidine deprivation. These results show that caffeine does enhance fra(X) expression in at least some cell types. The effect is probably indirect, inhibiting the mitotic delay usually associated with DNA damage.