Matched Patient Tumor Research Articles

Autologous human preclinical modeling of melanoma interpatient clinical responses to immunotherapeutics

BackgroundDespite recent advances in immunotherapy, a substantial population of late-stage melanoma patients still fail to achieve sustained clinical benefit. Lack of translational preclinical models continues to be a major challenge...

Development of Novel Models of Aggressive Variants of Castration-resistant Prostate Cancer

BackgroundGenomic studies have identified new subsets of aggressive prostate cancer (PCa) with poor prognosis (eg, neuroendocrine prostate cancer [NEPC], PCa with DNA damage response [DDR] alterations, or PCa resistant to androgen receptor pathway inhibitors [ARPIs]). Development of novel therapies relies on the availability of relevant preclinical models. ObjectiveTo develop new preclinical models (patient-derived xenograft [PDX], PDX-derived organoid [PDXO], and patient-derived organoid [PDO]) representative of the most aggressive variants of PCa and to develop a new drug evaluation strategy. Design, setting, and participantsNEPC (n = 5), DDR (n = 7), and microsatellite instability (MSI)-high (n = 1) PDXs were established from 51 patients with metastatic PCa; PDXOs (n = 16) and PDOs (n = 6) were developed to perform drug screening. Histopathology and treatment response were characterized. Molecular profiling was performed by whole-exome sequencing (WES; n = 13), RNA sequencing (RNA-seq; n = 13), and single-cell RNA-seq (n = 14). WES and RNA-seq data from patient tumors were compared with the models. Outcome measurements and statistical analysisRelationships with outcome were analyzed using the multivariable chi-square test and the tumor growth inhibition test. Results and limitationsOur PDXs captured both common and rare molecular phenotypes and their molecular drivers, including alterations of BRCA2, CDK12, MSI-high status, and NEPC. RNA-seq profiling demonstrated broad representation of PCa subtypes. Single-cell RNA-seq indicates that PDXs reproduce cellular and molecular intratumor heterogeneity. WES of matched patient tumors showed preservation of most genetic driver alterations. PDXOs and PDOs preserve drug sensitivity of the matched tissue and can be used to determine drug sensitivity. ConclusionsOur models reproduce the phenotypic and genomic features of both common and aggressive PCa variants and capture their molecular heterogeneity. Successfully developed aggressive-variant PCa preclinical models provide an important tool for predicting tumor response to anticancer therapy and studying resistance mechanisms. Patient summaryIn this report, we looked at the outcomes of preclinical models from patients with metastatic prostate cancer enrolled in the MATCH-R trial (NCT02517892).

Pan-Cancer Pharmacogenomic Analysis of Patient-Derived Tumor Cells Using Clinically Relevant Drug Exposures.

As a result of tumor heterogeneity and solid cancers harboring multiple molecular defects, precision medicine platforms in oncology are most effective when both genetic and pharmacologic determinants of a tumor are evaluated. Expandable patient-derived xenograft (PDX) mouse tumor and corresponding PDX culture (PDXC) models recapitulate many of the biological and genetic characteristics of the original patient tumor, allowing for a comprehensive pharmacogenomic analysis. Here, the somatic mutations of 23 matched patient tumor and PDX samples encompassing four cancers were first evaluated using next-generation sequencing (NGS). 19 antitumor agents were evaluated across 78 patient-derived tumor cultures using clinically relevant drug exposures. A binarization threshold sensitivity classification determined in culture (PDXC) was used to identify tumors that best respond to drug in vivo (PDX). Using this sensitivity classification, logic models of DNA mutations were developed for 19 antitumor agents to predict drug response. We determined that the concordance of somatic mutations across patient and corresponding PDX samples increased as variant allele frequency increased. Notable individual PDXC responses to specific drugs, as well as lineage-specific drug responses were identified. Robust responses identified in PDXC were recapitulated in vivo in PDX-bearing mice and logic modeling determined somatic gene mutation(s) defining response to specific antitumor agents. In conclusion, combining NGS of primary patient tumors, high-throughput drug screen using clinically relevant doses, and logic modeling, can provide a platform for understanding response to therapeutic drugs targeting cancer.

Abstract 171: Prostate cancer organoids from KUCaP patient-derived xenograft(PDX) series enables us to genetic engineering human-derived cellular models

Abstract Introduction and Objectives Cancer organoids are expected to be valuable models that recapitulate intratumor heterogeneity and the phenotypic diversity of the disease ex vivo. However, the establishment rate of prostate cancer (PCa) organoids directly from clinical specimens are still low, and we need to improve. Patient-derived xenograft model (PDX) is widely used as a human-derived in vivo model, but genetic engineering is impossible, limiting its use. We aimed to develop a method to stably grow prostate cancer organoids from PDX and evaluate the feasibility of gene engineering using PDX-derived organoids. Materials and Methods KUCaP PDX series, which were established from castration-resistant prostate cancer patient tissues, were used to establish organoids. Eight organoids from eight models of KUCaP PDX were established and maintained for at least three passages. Organoids were reinjected into immunodeficient mice to establish organoid-derived xenograft (ODX) with 100% efficacy. We compared histopathological and molecular characteristics of primary patient tumors, PDX tumors, organoids, and ODX tumors. We conducted whole exome sequencing and RNA sequencing to assess the genomic profiles across the models. Firefly luciferase was introduced into organoids to show the feasibility of genetic engineering. Results Pathological findings were similar across the models derived from the same patient. WES analysis revealed most of the mutations detected in the matched patient tumors and organoids. Hierarchical clustering of RNA sequencing showed that the primary tumors, PDX tumors, organoids, and ODX tumors derived from the same patient cluster, which indicates that even after clonal selection during the establishment of organoids, the basic molecular feature of the model is maintained (Figure). Firefly luciferase was successfully introduced in seven out of seven tested organoids and imaged the ODX tumors from these organoids in vivo. Conclusions Organoids were established with a high success rate using PDX. Firefly luciferase was successfully introduced, showed the feasibility of genetic engineering using prostate cancer organoids. Matched PDX and organoids of PCa recapitulate the basic molecular features of primary human PCa. PDX-derived organoids of PCa, which enables genetic engineering of human-derived cellular models, which could be a valuable tool to enhance PCa research. Citation Format: Takuro Sunada, Takayuki Goto, Takayuki Sumiyoshi, Akamatsu Shusuke, Takashi Kobayashi. Prostate cancer organoids from KUCaP patient-derived xenograft(PDX) series enables us to genetic engineering human-derived cellular models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 171.

In vivo loss of tumorigenicity in a patient-derived orthotopic xenograft mouse model of ependymoma.

Ependymomas (EPN) are the third most common malignant brain cancer in children. Treatment strategies for pediatric EPN have remained unchanged over recent decades, with 10-year survival rates stagnating at just 67% for children aged 0-14 years. Moreover, a proportion of patients who survive treatment often suffer long-term neurological side effects as a result of therapy. It is evident that there is a need for safer, more effective treatments for pediatric EPN patients. There are ten distinct subgroups of EPN, each with their own molecular and prognostic features. To identify and facilitate the testing of new treatments for EPN, in vivo laboratory models representative of the diverse molecular subtypes are required. Here, we describe the establishment of a patient-derived orthotopic xenograft (PDOX) model of posterior fossa A (PFA) EPN, derived from a metastatic cranial lesion. Patient and PDOX tumors were analyzed using immunohistochemistry, DNA methylation profiling, whole genome sequencing (WGS) and RNA sequencing. Both patient and PDOX tumors classified as PFA EPN by methylation profiling, and shared similar histological features consistent with this molecular subgroup. RNA sequencing revealed that gene expression patterns were maintained across the primary and metastatic tumors, as well as the PDOX. Copy number profiling revealed gains of chromosomes 7, 8 and 19, and loss of chromosomes 2q and 6q in the PDOX and matched patient tumor. No clinically significant single nucleotide variants were identified, consistent with the low mutation rates observed in PFA EPN. Overexpression of EZHIP RNA and protein, a common feature of PFA EPN, was also observed. Despite the aggressive nature of the tumor in the patient, this PDOX was unable to be maintained past two passages in vivo. Others who have successfully developed PDOX models report some of the lowest success rates for EPN compared to other pediatric brain cancer types attempted, with loss of tumorigenicity not uncommon, highlighting the challenges of propagating these tumors in the laboratory. Here, we discuss our collective experiences with PFA EPN PDOX model generation and propose potential approaches to improve future success in establishing preclinical EPN models.

3MO Genomic evolution of non-small cell lung cancer during the establishment and propagation of patient-derived xenograft models

3MO Genomic evolution of non-small cell lung cancer during the establishment and propagation of patient-derived xenograft models

Abstract 3096: Multi-region patient-derived xenograft models from non-small cell lung cancer patients enrolled in lung TRACERx

Abstract Patient-derived xenograft (PDX) models have become important models in cancer biology. They are thought to mimic tumor biology more closely than traditional cell lines as a consequence of their in vivo heterocellularity and cell-matrix interactions, their 3D architecture and their relatively recent derivation. The genomic fidelity of PDXs is integral to their applications in both basic research and in translational medicine. We derived multi-region PDX models from patients enrolled in TRACERx - a study of the evolutionary dynamics of non-small cell lung cancer (NSCLC) that uses a multi-region deep whole-exome sequencing (WES) approach - using more extensive spatial sampling to better understand the histological and genomic fidelity of the PDX approach. We transplanted regional NSCLC tumor tissue subcutaneously into immunocompromised NSG mice. 134 regions were attempted, resulting in 60 passagable xenografts (44.8%). Of these, 44 regional xenografts (32.8% of all regions) were NSCLC-derived, while 16 (11.9% of all regions) were B-cell lymphoproliferative disease. Multi-region sampling revealed heterogeneous success of PDX derivation between regions within individual patient tumors. There was correlation between PDX derivation and tumor purity by WES. Overall, NSCLC PDX models were established for 22 patients (50%; range 1-5 regional models per patient; Table 1). Histologically, broad similarity was observed between PDX models and corresponding patient tumor regions, although in a small number of models, variability was noted between the patient tumor and the corresponding PDX model, or during PDX passaging. PDXs were subjected to WES for comparison with matched patient tumor regions. Overall, our study demonstrates the feasibility of systematic multi-region PDX derivation and suggests that multiple spatial sampling of tumors could improve PDX take rates and generate PDXs that represent the intratumor diversity of heterogenous NSCLCs. Table 1. Engraftment rates of multiple spatial regions from non-small cell lung cancer tumors. Attempted NSCLC PDX B-Lymphoproliferations No Xenograft: Regions No Xenograft: Any Region LUAD 48 (21) 12 (7) 9 (7) 27 (10) LUSC 61 (17) 20 (11) 6 (5) 35 (4) Other 25 (6) 12 (4) 1 (1) 12 (1) TOTAL 134 (44) 44 (22) 16 (13) 74 (15) Citation Format: Robert E. Hynds, David R. Pearce, Ayse U. Akarca, Sophia Ward, Ariana Huebner, Oriol Pich, Gareth A. Wilson, Kate H. Gowers, Rebecca Towns, Assma Ben Aissa, Selvaraju Veeriah, Sergio A. Quezada, Mariam Jamal-Hanjani, Sam M. Janes, Nicholas McGranahan, David A. Moore, Teresa Marafioti, Charles Swanton. Multi-region patient-derived xenograft models from non-small cell lung cancer patients enrolled in lung TRACERx [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3096.

Abstract P5-08-12: Efficacy of futibatinib, an irreversible fibroblast growth factor receptor (FGFR) inhibitor, in breast cancer models with FGFR alterations

Abstract Purpose: Several FGFR alterations have been found in breast cancer, however, their role as a therapeutic target in breast has been controversial. Futibatinib (TAS-120; Taiho) is a novel, selective pan-FGFR inhibitor which irreversibly binds to and inhibits FGFR1-4 at nanomolar concentrations. We sought to determine the efficacy of futibatinib in breast cancer models with differing FGFR alterations. Experimental Design: In vivo, antitumor efficacy was evaluated by tumor growth curves and event-free survival in a panel of patient-derived xenografts (PDXs) from breast cancer patients with different FGFR1-4 alterations. Genomic alterations in the PDXs were characterized by next generation sequencing. Correlation of FGFR gene expression in matched patient tumors and PDXs was analyzed by RNA sequencing. In vitro, FGFR2 Y375C mutant and FGFR2-BICC1 fusion expressing MCF10A cell lines were generated, and effect on cell proliferation, colony formation assay, and cell signaling was assessed with and without futibatinib. Frequency of FGFR mutations and FGFR2 amplification was compiled from internal and public databases. Results: Breast cancer PDXs varied in their expression of FGFR1-4. FGFR gene expression significantly correlated between matched patient tumors and PDXs derived from them, however, PDXs had higher levels of FGFR3 and FGFR4 expression compared to patient samples. Futibatinib inhibited tumor growth in three of 10 PDX models, with tumor stabilization in a FGFR2 amplified model and prolonged tumor regression (more than 110 days) in a PDX bearing a FGFR2 Y375C mutation. In vitro, expression of FGFR2 Y375C, as well as FGFR2-BICC fusion in normal-like MCF10A cells enhanced growth, colony formation ability and FGFR signaling. Cells expressing FGFR2 Y375C as well as FGFR2-BICC fusions were more sensitive to futibatinib. In the five breast cancer genomic series we analyzed, FGFR2 mutations and amplifications were found in 1.1%-2.6% and 1.4%-2.5%, respectively. Conclusions: Futibatinib had single agent activity of selected breast cancer PDX models. FGFR2 activating mutations and amplification may represent rare but promising therapeutic targets to FGFR inhibition. Citation Format: Turcin Saridogan, Argun Akcakanat, Ming Zhao, Kurt W. Evans, Erkan Yuca, Stephen Scott, Bryce P. Kirby, Xiaofeng Zheng, Senthil Damodaran, Funda Meric-Bernstam. Efficacy of futibatinib, an irreversible fibroblast growth factor receptor (FGFR) inhibitor, in breast cancer models with FGFR alterations [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-08-12.

Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts

Patient-derived xenografts (PDXs) are resected human tumors engrafted into mice for preclinical studies and therapeutic testing. It has been proposed that the mouse host affects tumor evolution during PDX engraftment and propagation, affecting the accuracy of PDX modeling of human cancer. Here, we exhaustively analyze copy number alterations (CNAs) in 1,451 PDX and matched patient tumor (PT) samples from 509 PDX models. CNA inferences based on DNA sequencing and microarray data displayed substantially higher resolution and dynamic range than gene expression-based inferences, and they also showed strong CNA conservation from PTs through late-passage PDXs. CNA recurrence analysis of 130 colorectal and breast PT/PDX-early/PDX-late trios confirmed high-resolution CNA retention. We observed no significant enrichment of cancer-related genes in PDX-specific CNAs across models. Moreover, CNA differences between patient and PDX tumors were comparable to variations in multiregion samples within patients. Our study demonstrates the lack of systematic copy number evolution driven by the PDX mouse host.

TMOD-34. PATIENT-DERIVED XENOGRAFT AND CELL LINE MODELS FACILITATE NOVEL TREATMENT DISCOVERY IN CENTRAL NERVOUS SYSTEM LYMPHOMAS

Abstract Lymphomas of the central nervous system (CNSL) are rare tumors with few treatment options; however, recent genomic studies have uncovered several druggable targets. To facilitate novel treatment discovery, we sought to establish patient-derived xenograft (PDX) models and cell lines from patients with newly diagnosed or recurrent CNSL. PDX models were attempted from fresh tumor samples from 18 consented patients for whom rich clinical annotation was available. Orthotopic intracranial injections were performed via stereotactic injection. Cell line generation was attempted from both primary tumors (PDCL) and PDX samples (PDXCL). Characterization included histopathology, targeted exome sequencing, low-pass whole-genome sequencing for copy number evaluation, and expression profiling of matched patient tumors and PDXs. Drug response testing was performed using CellTiterGlo. From 18 samples attempted, 8 PDX models were successfully generated: 2 primary CNS diffuse large B-cell lymphoma (DLBCL), 5 secondary CNS DLBCL, and 1 secondary cutaneous T-cell lymphoma (CTCL). Mean time to moribund was 66 days. All 8 PDXs grew successfully as orthotopic models, and 4 also grew in subrenal capsule. Additionally, 6 PDCL and 2 PDXCL were established (> P3). Models faithfully represented primaries, showing nearly identical histopathology, immunoprofiles, and genomic signatures. To support expanded and rapid preclinical use of these models in drug testing we documented that PDX could be explanted to create short-term cell preparations or long-term cell lines with a 100% and 40% success rate, respectively. Proof of principle testing showed that explanted DLBCL PDX cells and cell lines showed sensitivity to copanlisib and venetoclax, which were not efficacious in the CTCL PDX. These findings showcase a diverse collection of CNSL models demonstrating high fidelity to primary tumors at the genomic and phenotypic levels, emphasizing their utility for preclinical studies and as patient avatars to rapidly determine sensitivities to existing and novel regimens prior to initiation of therapy.

Abstract 6144: St. Jude Pediatric Brain Tumor Portal: Cloud-based resource for patient-derived orthotopic xenograft (PDOX) models of pediatric high-grade glioma, ependymoma, and CNS embryonal tumors

Abstract Pediatric brain tumors comprise a distinct spectrum of diseases compared to adult brain tumors and are distinguished by their unique clinical and histopathological features, developmental context, mutation burden, and genomic, epigenomic, and transcriptomic alterations. Access to in vivo models that recapitulate pediatric brain tumors has been limited and inadequate to represent these heterogeneous diseases. Here we introduce the Pediatric Brain Tumor Portal (PBTP, pbtp.stjude.cloud), an open resource to access molecular characterization, including whole-genome sequencing, whole-exome sequencing, RNA-seq, and DNA methylome profiling, of patient-derived orthotopic xenograft (PDOX) models of pediatric brain tumors. The portal will host more than 70 models, which currently include pediatric High-Grade Glioma (pHGG), Medulloblastoma, Atypical Teratoid/Rhabdoid Tumors (AT/RT), Ependymoma, and Embryonal Tumors with Multilayered Rosettes (ETMR), and reflects close to ten years of effort to generate and extensively characterize in vivo models that recapitulate primary pediatric brain tumors. PBTP is a database-driven and user-friendly platform that enables multi-omics views of PDOX and matched patient tumor and germline samples at multiple levels to help identify appropriate lines for studies of tumorigenesis or preclinical testing. To evaluate the representation of different molecular features within a disease subgroup, we implemented various visualization tools for searching and comparing somatic mutations, gene expression profiles, and methylation groups of our models and matched patient tumors. Details for each tumor including de-identified clinical data, histology, growth characteristics, DNA methylation classification, mutation status, and copy number variations are also readily available for side-by-side comparison. Furthermore, in vitro chemical sensitivity profiling is presented for selected models with matched cell lines. Users can investigate genes of interest for single nucleotide variants, small insertions and deletions, copy number variations, gene fusions, and mRNA expression in PDOX and matched patient tumors. This portal has been integrated into the St. Jude Cloud platform, through which users can explore patient and PDOX sequencing data in the context of larger cohort data sets and download raw genomics data files. PBTP provides a platform to share PDOX models with in-depth genome/epigenome-wide characterization to support advances in basic and translational research in pediatric brain tumors. *co-first, #co-corresponding Citation Format: Paige S. Dunphy, Ke Xu, Darrell T. Gentry, Chen He, Kimberly Mercer, Xiaoyan Zhu, Kyle Smith, Brian Gudenas, Sarah Robinson, Junyuan Zhang, Lawryn H. Kasper, Chang-Hyuk Kwon, Laura D. Hover, Jon D. Larson, Nathaniel Twarog, Aksana Vasilyeva, Nedra Robison, Daniel Alford, Cynthia Williams, Anthony Woodard, Xin Zhou, Edgar Sioson, J. Robert Michael, Austyn Trull, Irina McGuire, Brandon McMahan, Swapnali Mohite, Ashok Boddu, Kirby Birch, Clay McLeod, Michael A. Dyer, Paul Klimo, Frederick A. Boop, Amar Gajjar, Christopher L. Tinkle, Giles Robinson, Brent A. Orr, Jason Chiang, Paul A. Northcott, Jinghui Zhang, Keith Perry, Gang Wu, Anang A. Shelat, Ed Suh, Martine F. Roussel, Suzanne J. Baker. St. Jude Pediatric Brain Tumor Portal: Cloud-based resource for patient-derived orthotopic xenograft (PDOX) models of pediatric high-grade glioma, ependymoma, and CNS embryonal tumors [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6144.

Genomic and Phenotypic Characterization of a Broad Panel of Patient-Derived Xenografts Reflects the Diversity of Glioblastoma.

Glioblastoma is the most frequent and lethal primary brain tumor. Development of novel therapies relies on the availability of relevant preclinical models. We have established a panel of 96 glioblastoma patient-derived xenografts (PDX) and undertaken its genomic and phenotypic characterization. PDXs were established from glioblastoma, IDH-wildtype (n = 93), glioblastoma, IDH-mutant (n = 2), diffuse midline glioma, H3 K27M-mutant (n = 1), and both primary (n = 60) and recurrent (n = 34) tumors. Tumor growth rates, histopathology, and treatment response were characterized. Integrated molecular profiling was performed by whole-exome sequencing (WES, n = 83), RNA-sequencing (n = 68), and genome-wide methylation profiling (n = 76). WES data from 24 patient tumors was compared with derivative models. PDXs recapitulate many key phenotypic and molecular features of patient tumors. Orthotopic PDXs show characteristic tumor morphology and invasion patterns, but largely lack microvascular proliferation and necrosis. PDXs capture common and rare molecular drivers, including alterations of TERT, EGFR, PTEN, TP53, BRAF, and IDH1, most at frequencies comparable with human glioblastoma. However, PDGFRA amplification was absent. RNA-sequencing and genome-wide methylation profiling demonstrated broad representation of glioblastoma molecular subtypes. MGMT promoter methylation correlated with increased survival in response to temozolomide. WES of 24 matched patient tumors showed preservation of most genetic driver alterations, including EGFR amplification. However, in four patient-PDX pairs, driver alterations were gained or lost on engraftment, consistent with clonal selection. Our PDX panel captures the molecular heterogeneity of glioblastoma and recapitulates many salient genetic and phenotypic features. All models and genomic data are openly available to investigators.

TMOD-21. TARGETING ANAPLASTIC MENINGIOMA WITH PANOBINOSTAT IN PATIENT-DERIVED ORTHOTOPIC XENOGRAFT (PDOX) MODELS DERIVED FROM A MATCHING PAIR OF PRIMARY AND RECURRENT TUMORS

Abstract BACKGROUND Meningioma is the most common brain tumor in adults. Despite the overall benign nature of meningioma, skull base tumors can be difficult to completely resect while others exhibit progression and aggressive profiles. The lack of clinically relevant animal models is blocking the development of novel therapies. MATERIAL AND METHODS Twelve surgical specimens (1 × 105) from 11 adult meningioma patients were implanted into the frontal cranial-base of the brain of SCID mice. Mice were then followed and assessed for tumor formation. Tumor growth was confirmed by small animal MRI. Pathologic features of the PDOX models and the matched patient tumors were compared with standard H&E and immunohistochemical staining. RNAseq was performed to examine the molecular fidelity of PDOX tumors and to identify new therapeutic targets. A panel of 60 clinically-relevant drugs was developed for screening drug sensitivity. In vivo examination of therapeutic efficacy of Panobinostat was performed in two models by treating preformed PDOX tumors with i.p. injection (10 mg/kg), 5 days on, 5 days off for 2 cycles. RESULTS Intracranial xenograft formation was confirmed in two samples derived from the same patient, the first an atypical meningioma (K029MEN-P) and the second, which progressed to anaplastic meningioma at recurrence (K029MEN-R). MRI scanning revealed that the PDOX tumors grew from the skull base. These patient tumor cells can be cryopreserved for long-term maintenance of tumorigenicity. The xenograft tumors replicated histopathological features of parental tumors. Overall gene expression profiles of PDOX were similar to the original patient tumors. Using MEN primary culture cells, we screened 60 drugs and identified 12 (20%) active compounds. Panobinostat also significantly prolonged survival of mice bearing orthotopic meningiomas. CONCLUSION A set of meningioma PDOX models derived from primary and recurrent tumor was established. Our data further demonstrate that panobinostat exerts potent antitumor activity against high-grade meningioma.

Abstract SY05-03: Dissecting genomic correlates of response and resistance to chemotherapy in bladder cancer through clinical computational oncology

Abstract SY05-03: Dissecting genomic correlates of response and resistance to chemotherapy in bladder cancer through clinical computational oncology

Abstract 1072: Development and characterization of patient derived xenograft (PDX) avatars of human cholangiocarcinoma

Abstract Cholangiocarcinoma (CCA) is a fatal primary malignancy with limited treatment options and a dismal 5year survival rate of <10%. Poor prognosis and early recurrence after surgical treatment warrants further molecular characterization of these tumors to evaluate therapeutic sensitivities and identification of biomarkers for CCA. Although several Next Generation Sequencing (NGS) studies have revealed some targetable genomic aberrations, the lack of preclinical and translational models has severely limited the identification of clinically relevant targeted therapies for CCA. So far, very few putative molecular targets/pathways have been identified using patient-derived xenograft (PDX) models, CCA cell derived xenograft models (CDX) and CCA cell lines, only 4 of which have progressed to preclinical testing for therapeutic value. In this study we describe development and comprehensive characterization of patient derived xenograft models of CCA from freshly resected patient tissue. Patient tumor cells from 8 patients were engrafted subcutaneously in highly immunocompromised NSG (NOD.Cg-PrkdcscidIl2rgtm1Wj) mice for PDX development. Two (CCA-1 and CCA-7) of 8 (25 %) engraftments yielded successful PDX model. The PDX avatar and matched patient tumor samples were genomically characterized at the whole exome and transcriptome level to check the fidelity of PDX models. Exome sequencing analysis of PDX tumors demonstrate higher genomic aberrations as compared to their patient counterparts. Preliminary analysis of transcriptomic profiles from CCA TCGA dataset, long term established intra- and extra-hepatic CCA cell lines (Mz-ChA-1, TFK-1, SG231, CCLP-1, HuCC-T1 and HuH-28), CCA CDX model from Mz-ChA-1 cells and CCA PDX models demonstrate that CCA PDX models more faithfully recapitulate patient tumors as compared to long term established cell lines. In summary, this proof of concept study demonstrates that PDX avatars of CCA could serve as a good model system for preclinical target discovery and validation for a deadly and neglected disease such as CCA. Citation Format: Sanhita Rath, Sen Peng, Lauren Hartman, George Reid, Harshil Dhruv, Shannon Glaser, Fanyin Meng, Gianfranco Alpini, Scott Celinski. Development and characterization of patient derived xenograft (PDX) avatars of human cholangiocarcinoma [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 1072.

Abstract 500: Predicting patient response to immuno-oncology agents in vitro using 3D cultures

Abstract Immuno-oncology (I/O) based therapeutics, including cellular therapies and checkpoint inhibitors have surged in the last 2 years, but the technology to accurately test them in a pre-clinical setting is significantly lacking. While animal models have tried to provide accurate testing platforms, the ultimate goal of a matched patient tumor and immune system is not achievable in mice. To overcome this issue, we have developed two 3D tissue systems for in vitro testing that combine a patient’s tumor cells and autologous immune cells for accurate testing and prediction. We hypothesize that our 3D cell culture systems can recapitulate the patient’s tumor microenvironment to detect I/O response. Our spheroid-based system allows us to monitor how primary T-cells are affected by paired tumor cells and/or the PD-1 inhibitor pembrolizumab using flow cytometry. We have successfully detected pembrolizumab binding to T-cells in a dose dependent manner, clonal expansion of lymphocyte populations, as well as increased expression of activation markers on CD3+ cells following combination with tumor cells and exposure to pembrolizumab. This model also accurately detects CD3+CD8+ T-cell mediated tumor cell death and can be used to track changes in secreted cytokines and chemokines such as Granzyme B and IFN gamma. Our second model, a 3D microtumor platform, allows us to detect immune cell migration and infiltration and therapy related cell death. Our results show pembrolizumab can increase lymphocyte infiltration while simultaneously decreasing microtumor growth in matched patient samples whose tumor cells express PD-L1 and whose lymphocytes are CD8+. Cytokine secretion detected by multiplex technology from our microtumor model supports our observed enhanced T-cell activation in the presence of pembrolizumab. The data generated from our two complex 3D in vitro models can recapitulate in vivo biology in order to derive correlations to I/O drug response. These models can be utilized for preclinical testing of new I/O agents as well as for patient response predictions to I/O therapies. Citation Format: Kathryn M. Appleton, Qi Guo, Ashley Elrod, Alina Lotstein, Lillia Holmes, Teresa M. DesRochers. Predicting patient response to immuno-oncology agents in vitro using 3D cultures [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 500.

Ultrasensitive Immunoprofiling of Plasma Extracellular Vesicles Identifies Syndecan-1 as a Potential Tool for Minimally Invasive Diagnosis of Glioma.

Liquid biopsy has great potential to improve the management of brain tumor patients at high risk of surgery-associated complications. Here, the aim was to explore plasma extracellular vesicle (plEV) immunoprofiling as a tool for noninvasive diagnosis of glioma. PlEV isolation and analysis were optimized using advanced mass spectrometry, nanoparticle tracking analysis, and electron microscopy. We then established a new procedure that combines size exclusion chromatography isolation and proximity extension assay-based ultrasensitive immunoprofiling of plEV proteins that was applied on a well-defined glioma study cohort (n = 82). Among potential candidates, we for the first time identify syndecan-1 (SDC1) as a plEV constituent that can discriminate between high-grade glioblastoma multiforme (GBM, WHO grade IV) and low-grade glioma [LGG, WHO grade II; area under the ROC curve (AUC): 0.81; sensitivity: 71%; specificity: 91%]. These findings were independently validated by ELISA. Tumor SDC1 mRNA expression similarly discriminated between GBM and LGG in an independent glioma patient population from The Cancer Genome Atlas cohort (AUC: 0.91; sensitivity: 79%; specificity: 91%). In experimental studies with GBM cells, we show that SDC1 is efficiently sorted to secreted EVs. Importantly, we found strong support of plEVSDC1 originating from GBM tumors, as plEVSDC1 correlated with SDC1 protein expression in matched patient tumors, and plEVSDC1 was decreased postoperatively depending on the extent of surgery. Our studies support the concept of circulating plEVs as a tool for noninvasive diagnosis and monitoring of gliomas and should move this field closer to the goal of improving the management of cancer patients.

Improving orthotopic mouse models of patient-derived breast cancer brain metastases by a\xa0modified intracarotid injection\xa0method\xa0

Breast cancer brain metastasis (BCBM) remains a major clinical problem. Approximately 10–16% of patients with breast cancer develop brain metastases (BCBM). However, no systemic therapy has gained regulatory approval for the specific treatment of BCBM and this remains an area of persistent, unmet medical need. Rapid, predictive and clinically-relevant animal models are critical to study the biology of brain metastases and to identify effective therapeutic approaches for patients with BCBM. Here, we describe a method for efficient establishment of orthotopic mouse models of patient-derived brain metastases via an improved intracarotid injection protocol that permits tumor cell growth in the unique brain microenvironment without compromising the blood-brain barrier (BBB). We demonstrate that our newly improved models of patient-derived brain metastases recapitulate the histologic, molecular, and genetic characteristics of their matched patient tumor specimens and thus represent a potentially powerful tool for pre-clinical and translational research.

Abstract 991: Development and characterization of patient derived xenografts from central nervous system metastasis reveal minor clone expansion linked with aggressive tumor behavior

Abstract Despite recent advances in cancer therapy, options for central nervous system metastasis (CM) remain limited and patient outcomes are dismal. The lack of tumor models that reflect the heterogeneity and complexity of human CM tumors is a barrier to understanding the underlying biology and to developing novel therapies. Here, we report the development and characterization of 39 patient derived xenograft (PDX) models of CM tumors with histological subtypes representing the disease spectrum. The PDX models successfully grew both in the flank and brains of mice, and retained their histology regardless of the site of implantation. Brain metastasis also formed in 5/12 models after intra-cardiac injection. Multi-omic analysis of the PDX tumor and the patient-matched CM tumor showed that PDXs largely retained the molecular profiles of the tumor from which they were derived, including the retention of aberrations in key driver genes and signaling pathways. PDXs differed primarily from the ungrafted patient tumors by a downregulation in immunity-related pathways, which was expected due to the use of an immuno-compromised host, arguing for the validity of using the flank as a site of implantation. Integrated analysis of mutations and gene expression changes in CM revealed an upregulation of neuronal signaling and DNA damage response, and downregulation of calcium signaling and inflammation. We also assessed the clonal evolution of the PDX from the original patient CM by tracing variant allele frequencies in copy number neutral regions. We found that the PDX tumors were heterogeneous and comprised of multiple tumor clones that were either unique or in common with the original tumor, and displayed evidence of clonal expansion. Two PDXs that underwent phylogeny assessment showed evidence of minor clone expansion. One such PDX was a tumor from a Her2+ breast cancer (CM13), which largely did not molecularly resemble its matched patient tumor but was confirmed to have some shared expressed variants. The PDX was nearly copy number neutral, which included loss of the Her2 amplicon, and had few mutations compared with its parent tumor. Most noteworthy, is that CM13 displayed unique molecular patterns, aggressive growth and was highly metastatic in vivo. From the flank, it led to multiple metastases, including micrometastasis in the brain. This suggests that minor clone takeover may confer tumor aggressiveness and potentiate brain metastasis. The large and diverse repertoire of PDXs developed and characterized in this study provides a new set of tools that will help deepen our understanding of CM and improve preclinical testing for CM therapies. Our data also show that expansion of minor clones could confer aggressive tumor behavior and may be important in tumor evolution in PDX models and human cancers. Citation Format: Ben Yi Tew, Christophe Legendre, Tim Triche, Gerald C. Gooden, Kyle N. Johnson, Rae Anne Martinez, Emanuel F. Petricoin, Mariaelena Pierobon, Joyce O'Shaughnessy, Cindy Osborne, Mark A. Schroeder, Daniel J. Ma, Mark Bernstein, Jann N. Sarkaria, Steven A. Toms, Bodour Salhia. Development and characterization of patient derived xenografts from central nervous system metastasis reveal minor clone expansion linked with aggressive tumor behavior [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 991.

Abstract 730: Neoantigen identification using the ATLAS T cell profiling platform highlights the need to empirically define neoantigens

Abstract Neoantigens arise from tumor-specific, somatic mutations and have the potential to be recognized by T cells that are associated with anti-tumor immune responses. Since they are non-self, they are hypothesized to provide an attractive therapeutic modality because T cells that can respond to those sequences have not undergone thymic selection. The ATLASTM platform enables identification of biologically relevant CD4+ and CD8+ T cell neoantigens in any subject in an unbiased manner, overcoming the limitations of conventional in silico predictive approaches. The ATLAS platform utilizes matched patient tumor biopsy and blood samples to identify recall T cell responses to tumor specific mutations. From patient peripheral blood, CD14+ monocytes were isolated and differentiated into dendritic cells (MDDCs), and T cells were sorted into CD4+ and CD8+ populations and non-specifically expanded. Tumor-specific changes (single nucleotide variants and insertion/deletions) were identified through whole exome sequencing and cloned into E. coli expression vectors with and without co-expressed listeriolysin O to enable presentation via MHC class I or class II, respectively. For each patient, their unique clones were co-cultured with autologous MDDCs in an ordered array, then their CD4+ or CD8+ T cells were added and incubated overnight. T cell activation was determined by measurement of TNF-α and IFN-γ levels in the supernatants by a Meso-Scale Discovery assay. Neoantigens were defined as clones that elicited cytokine responses >2 median absolute deviations from the median of negative control clones. Historically, ATLAS has identified CD4+ and CD8+ T cells responses to up to 15% of mutant polypeptide sequences. Here we will present ATLAS profiling of T cell responses to >2,500 potential neoantigens, across a broad cohort of patients with different tumor types, including tumors with a wide range of mutational burden. T cell responses detected by ATLAS challenge assumptions in the field, with the majority of empirically identified neoantigens not predicted by algorithms, and many predicted neoantigens demonstrating “inhibitory” activity. When exploring neoantigens selected by ATLAS by tumor type, no patterns in overall mutational burden, RNA expression level, or DNA mutant allele frequency have yet been identified. We will also present broader functional analysis, including pathway analysis of proteins containing neoantigens, review of the immunogenicity of known oncogenes and features of immunogenic peptide sequences. The ATLAS platform empirically defines which potential neoantigens created by somatic mutations elicit immune responses in individual patients independently of a patient's HLA type and T cell receptor repertoire. This approach provides the opportunity to identify better targets to include in a personalized vaccine formulation. Citation Format: Jason Dobson, Huilei Xu, Johanna Kaufmann, James Foti, Jin Yuan, Michael O''Keeffe, Crystal Cabral, James Loizeaux, Christopher Warren, Ning Wu, Erick Donis, Kyle Ferber, Pamela Carroll, Jessica B. Flechtner, Wendy Broom. Neoantigen identification using the ATLAS T cell profiling platform highlights the need to empirically define neoantigens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 730.