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Dive into the research topics where Emily J. Girard is active.

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Featured researches published by Emily J. Girard.


Cell Reports | 2015

Genome-wide CRISPR-Cas9 Screens Reveal Loss of Redundancy between PKMYT1 and WEE1 in Glioblastoma Stem-like Cells.

Chad M. Toledo; Yu Ding; Pia Hoellerbauer; Ryan J. Davis; Ryan Basom; Emily J. Girard; Eunjee Lee; Philip Corrin; Traver Hart; Hamid Bolouri; Jerry Davison; Qing Zhang; Justin Hardcastle; Bruce J. Aronow; Christopher L. Plaisier; Nitin S. Baliga; Jason Moffat; Qi Lin; Xiao Nan Li; Do Hyun Nam; Jeongwu Lee; Steven M. Pollard; Jun Zhu; Jeffery J. Delrow; Bruce E. Clurman; James M. Olson; Patrick J. Paddison

To identify therapeutic targets for glioblastoma (GBM), we performed genome-wide CRISPR-Cas9 knockout (KO) screens in patient-derived GBM stem-like cells (GSCs) and human neural stem/progenitors (NSCs), non-neoplastic stem cell controls, for genes required for their in vitro growth. Surprisingly, the vast majority GSC-lethal hits were found outside of molecular networks commonly altered in GBM and GSCs (e.g., oncogenic drivers). In vitro and in vivo validation of GSC-specific targets revealed several strong hits, including the wee1-like kinase, PKMYT1/Myt1. Mechanistic studies demonstrated that PKMYT1 acts redundantly with WEE1 to inhibit cyclin B-CDK1 activity via CDK1-Y15 phosphorylation and to promote timely completion of mitosis in NSCs. However, in GSCs, this redundancy is lost, most likely as a result of oncogenic signaling, causing GBM-specific lethality.


Science Translational Medicine | 2015

A technology platform to assess multiple cancer agents simultaneously within a patient’s tumor

Richard A. Klinghoffer; S. Bahram Bahrami; Beryl A. Hatton; Jason Frazier; Alicia Moreno-Gonzalez; Andrew D. Strand; William S. Kerwin; Joseph Casalini; Derek J. Thirstrup; Sheng You; Shelli M. Morris; Korashon L. Watts; Mandana Veiseh; Marc Grenley; Ilona Tretyak; Joyoti Dey; Michael Carleton; Emily Beirne; Kyle Pedro; Sally Ditzler; Emily J. Girard; Thomas L. Deckwerth; Jessica A. Bertout; Karri A. Meleo; Ellen H. Filvaroff; Rajesh Chopra; Oliver W. Press; James M. Olson

Simultaneous in vivo assessment of multiple cancer drugs and drug combinations using microinjection technology predicts systemic response in model tumors and has shown feasibility for assessment of drug efficacy in a pilot study in cancer patients. There’s no place like the human Animal models of human tumors and dish cultures of cancer cells are not sufficient to predict an individual patient’s response to therapy. In the emerging era of personalized medicine, why limit ourselves to rodent models and engineered in vitro tumor models when we can study a drug directly in the patient’s tumor? This question was answered by Klinghoffer et al. by creating a microinjection system called CIVO that delivers small doses of up to eight different drugs simultaneously, directly into the tumor. The tumors could then be removed and evaluated for various markers of cancer response; in short, the authors looked for markers of cell death and drug-related mechanisms of action. By using an injection-tracking dye, Klinghoffer and colleagues could see where the drug was deposited and then use an automated analyzer for quantitative image processing along the 6-mm injection tract. In mouse models of human lymphoma, the authors were able to correctly predict systemic responsiveness to doxorubicin or vincristine—or not, in the case of resistant lymphomas. They also uncovered unexpected drug sensitivities, which were not picked up by traditional cell culture, including to novel anticancer agents, and confirmed these in vivo. The authors pilot-tested the device in dog and human patients, demonstrating the ability of CIVO to inject and track local tumor response to chemotherapies. Ultimately, such a personalized approach to drug sensitivity testing will allow for rational selection of therapeutics while sparing patients the pain—and time—associated with ineffective treatments. A fundamental problem in cancer drug development is that antitumor efficacy in preclinical cancer models does not translate faithfully to patient outcomes. Much of early cancer drug discovery is performed under in vitro conditions in cell-based models that poorly represent actual malignancies. To address this inconsistency, we have developed a technology platform called CIVO, which enables simultaneous assessment of up to eight drugs or drug combinations within a single solid tumor in vivo. The platform is currently designed for use in animal models of cancer and patients with superficial tumors but can be modified for investigation of deeper-seated malignancies. In xenograft lymphoma models, CIVO microinjection of well-characterized anticancer agents (vincristine, doxorubicin, mafosfamide, and prednisolone) induced spatially defined cellular changes around sites of drug exposure, specific to the known mechanisms of action of each drug. The observed localized responses predicted responses to systemically delivered drugs in animals. In pair-matched lymphoma models, CIVO correctly demonstrated tumor resistance to doxorubicin and vincristine and an unexpected enhanced sensitivity to mafosfamide in multidrug-resistant lymphomas compared with chemotherapy-naïve lymphomas. A CIVO-enabled in vivo screen of 97 approved oncology agents revealed a novel mTOR (mammalian target of rapamycin) pathway inhibitor that exhibits significantly increased tumor-killing activity in the drug-resistant setting compared with chemotherapy-naïve tumors. Finally, feasibility studies to assess the use of CIVO in human and canine patients demonstrated that microinjection of drugs is toxicity-sparing while inducing robust, easily tracked, drug-specific responses in autochthonous tumors, setting the stage for further application of this technology in clinical trials.


Genome Biology | 2014

Deep sequencing of multiple regions of glial tumors reveals spatial heterogeneity for mutations in clinically relevant genes

Akash Kumar; Evan A. Boyle; Mari J. Tokita; Andrei M. Mikheev; Michelle C Sanger; Emily J. Girard; John R. Silber; Luis F. Gonzalez-Cuyar; Joseph Hiatt; Andrew Adey; Choli Lee; Jacob O. Kitzman; Donald E. Born; Daniel L. Silbergeld; James M. Olson; Robert C. Rostomily; Jay Shendure

BackgroundThe extent of intratumoral mutational heterogeneity remains unclear in gliomas, the most common primary brain tumors, especially with respect to point mutation. To address this, we applied single molecule molecular inversion probes targeting 33 cancer genes to assay both point mutations and gene amplifications within spatially distinct regions of 14 glial tumors.ResultsWe find evidence of regional mutational heterogeneity in multiple tumors, including mutations in TP53 and RB1 in an anaplastic oligodendroglioma and amplifications in PDGFRA and KIT in two glioblastomas (GBMs). Immunohistochemistry confirms heterogeneity of TP53 mutation and PDGFRA amplification. In all, 3 out of 14 glial tumors surveyed have evidence for heterogeneity for clinically relevant mutations.ConclusionsOur results underscore the need to sample multiple regions in GBM and other glial tumors when devising personalized treatments based on genomic information, and furthermore demonstrate the importance of measuring both point mutation and copy number alteration while investigating genetic heterogeneity within cancer samples.


Neuro-oncology | 2015

Efficacy of cabazitaxel in mouse models of pediatric brain tumors.

Emily J. Girard; Sally Ditzler; Donghoon Lee; Andrew Richards; Kevin Yagle; Joshua Park; Dmitri Bobilev; Patricia Vrignaud; James M. Olson

BACKGROUND There is an unmet need in the treatment of pediatric brain tumors for chemotherapy that is efficacious, avoids damage to the developing brain, and crosses the blood-brain barrier. These experiments evaluated the efficacy of cabazitaxel in mouse models of pediatric brain tumors. METHODS The antitumor activity of cabazitaxel and docetaxel were compared in flank and orthotopic xenograft models of patient-derived atypical teratoid rhabdoid tumor (ATRT), medulloblastoma, and central nervous system primitive neuroectodermal tumor (CNS-PNET). Efficacy of cabazitaxel and docetaxel were also assessed in the Smo/Smo spontaneous mouse medulloblastoma tumor model. RESULTS This study observed significant tumor growth inhibition in pediatric patient-derived flank xenograft tumor models of ATRT, medulloblastoma, and CNS-PNET after treatment with either cabazitaxel or docetaxel. Cabazitaxel, but not docetaxel, treatment resulted in sustained tumor growth inhibition in the ATRT and medulloblastoma flank xenograft models. Patient-derived orthotopic xenograft models of ATRT, medulloblastoma, and CNS-PNET showed significantly improved survival with treatment of cabazitaxel. CONCLUSION These data support further testing of cabazitaxel as a therapy for treating human pediatric brain tumors.


Journal of Biomedical Optics | 2014

Target-to-background enhancement in multispectral endoscopy with background autofluorescence mitigation for quantitative molecular imaging

Chenying Yang; Vivian W. Hou; Emily J. Girard; Leonard Y. Nelson; Eric J. Seibel

Abstract. Fluorescence molecular imaging with exogenous probes improves specificity for the detection of diseased tissues by targeting unambiguous molecular signatures. Additionally, increased diagnostic sensitivity is expected with the application of multiple molecular probes. We developed a real-time multispectral fluorescence-reflectance scanning fiber endoscope (SFE) for wide-field molecular imaging of fluorescent dye-labeled molecular probes at nanomolar detection levels. Concurrent multichannel imaging with the wide-field SFE also allows for real-time mitigation of the background autofluorescence (AF) signal, especially when fluorescein, a U.S. Food and Drug Administration approved dye, is used as the target fluorophore. Quantitative tissue AF was measured for the ex vivo porcine esophagus and murine brain tissues across the visible and near-infrared spectra. AF signals were then transferred to the unit of targeted fluorophore concentration to evaluate the SFE detection sensitivity for sodium fluorescein and cyanine. Next, we demonstrated a real-time AF mitigation algorithm on a tissue phantom, which featured molecular probe targeted cells of high-grade dysplasia on a substrate containing AF species. The target-to-background ratio was enhanced by more than one order of magnitude when applying the real-time AF mitigation algorithm. Furthermore, a quantitative estimate of the fluorescein photodegradation (photobleaching) rate was evaluated and shown to be insignificant under the illumination conditions of SFE. In summary, the multichannel laser-based flexible SFE has demonstrated the capability to provide sufficient detection sensitivity, image contrast, and quantitative target intensity information for detecting small precancerous lesions in vivo.


Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling | 2018

Ultrathin and flexible 4-channel scope for guiding surgical resections using a near-infrared fluorescence molecular probe for cancer.

Emily J. Girard; Fiona Pakiam; Eric J. Seibel; Yang Jiang

Minimally-invasive optical imaging is being advanced by molecular probes that enhance contrast using fluorescence. The applications in cancer imaging are very broad, ranging from early diagnosis of cancer to the guiding of interventions, such as surgery. The high-sensitivity afforded by wide-field fluorescence imaging using scanning laser light is being developed for these broad applications. The platform technology being introduced for fluorescence-guided surgery is multimodal scanning fiber endoscope (mmSFE), which places a sub-1-mm optical fiber scanner at the tip of a highly flexible scope. Because several different laser wavelengths can be mixed and scanned together, full-color reflectance imaging can be combined with near infrared (NIR) fluorescence imaging in a new 4-channel multimodal SFE. Different imaging display modes are evaluated to provide surgeons fluorescence information with anatomical background preserved. These preliminary results provide a measure of mmSFE imaging performance in vitro and ex vivo, using a mouse model of brain cancer and BLZ-100 fluorescence tumor indicator. The mmSFE system generated wide-field 30 Hz video of concurrent reflectance and NIR fluorescence with sensitivity below 1 nM in vitro. Using the ex vivo mouse brain tumor model, the low-power 785-nm laser source does not produce any noticeable photobleaching of tumors with strong fluorescence signal over 30 minutes of continuous multimodal imaging. The wide-field NIR fluorescence images of the mouse brain surface produced a match to the conventional histology slices by processing the hematoxylin signal in a mean intensity projection to the outer surface and then registering with the mmSFE image. These results indicate the potential for the mmSFE and BLZ-100 tumor indicator for fluorescence guidance of keyhole neurosurgery.


Oncotarget | 2017

ZNF131 suppresses centrosome fragmentation in glioblastoma stem-like cells through regulation of HAUS5

Yu Ding; Jacob A. Herman; Chad M. Toledo; Jackie M. Lang; Philip Corrin; Emily J. Girard; Ryan Basom; Jeffrey J. Delrow; James M. Olson; Patrick J. Paddison

Zinc finger domain genes comprise ∼3% of the human genome, yet many of their functions remain unknown. Here we investigated roles for the vertebrate-specific BTB domain zinc finger gene ZNF131 in the context of human brain tumors. We report that ZNF131 is broadly required for Glioblastoma stem-like cell (GSC) viability, but dispensable for neural progenitor cell (NPC) viability. Examination of gene expression changes after ZNF131 knockdown (kd) revealed that ZNF131 activity notably promotes expression of Joubert Syndrome ciliopathy genes, including KIF7, NPHP1, and TMEM237, as well as HAUS5, a component of Augmin/HAUS complex that facilitates microtubule nucleation along the mitotic spindle. Of these genes only kd of HAUS5 displayed GSC-specific viability loss. Critically, HAUS5 ectopic expression was sufficient to suppress viability defects of ZNF131 kd cells. Moreover, ZNF131 and HAUS5 kd phenocopied each other in GSCs, each causing: mitotic arrest, centrosome fragmentation, loss of Augmin/HAUS complex on the mitotic spindle, and loss of GSC self-renewal and tumor formation capacity. In control NPCs, we observed centrosome fragmentation and lethality only when HAUS5 kd was combined with kd of HAUS2 or HAUS4, demonstrating that the complex is essential in NPCs, but that GSCs have heightened requirement. Our results suggest that GSCs differentially rely on ZNF131-dependent expression of HAUS5 as well as the Augmin/HAUS complex activity to maintain the integrity of centrosome function and viability.


Nature Medicine | 2018

A biobank of patient-derived pediatric brain tumor models

Sebastian Brabetz; Sarah Leary; Susanne Gröbner; Madison W. Nakamoto; Huriye Şeker-Cin; Emily J. Girard; Bonnie Cole; Andrew D. Strand; Karina Bloom; Volker Hovestadt; Norman Mack; Fiona Pakiam; Benjamin Schwalm; Andrey Korshunov; Gnana Prakash Balasubramanian; Paul A. Northcott; Kyle Pedro; Joyoti Dey; Stacey Hansen; Sally Ditzler; Peter Lichter; Lukas Chavez; David T. W. Jones; Jan Koster; Stefan M. Pfister; Marcel Kool; James M. Olson

Brain tumors are the leading cause of cancer-related death in children. Genomic studies have provided insights into molecular subgroups and oncogenic drivers of pediatric brain tumors that may lead to novel therapeutic strategies. To evaluate new treatments, better preclinical models adequately reflecting the biological heterogeneity are needed. Through the Children’s Oncology Group ACNS02B3 study, we have generated and comprehensively characterized 30 patient-derived orthotopic xenograft models and seven cell lines representing 14 molecular subgroups of pediatric brain tumors. Patient-derived orthotopic xenograft models were found to be representative of the human tumors they were derived from in terms of histology, immunohistochemistry, gene expression, DNA methylation, copy number, and mutational profiles. In vivo drug sensitivity of targeted therapeutics was associated with distinct molecular tumor subgroups and specific genetic alterations. These models and their molecular characterization provide an unprecedented resource for the cancer community to study key oncogenic drivers and to evaluate novel treatment strategies.A resource of preclinical pediatric brain tumor models with detailed molecular characterization provides a platform for the community to test novel therapeutic approaches.


Patient Derived Tumor Xenograft Models#R##N#Promise, Potential and Practice | 2017

Pediatric and Adult Brain Tumor PDX Models

Andrew D. Strand; Emily J. Girard; James M. Olson

Pediatric and adult brain tumors represent dozens of distinct molecular and pathological cancer types. In human patients, brain tumors may have disrupted, intact, or partially intact blood–brain barriers, which greatly influences the concentration of most therapeutic agents in the tumor cells. The unique microenvironment of the brain also influences the extent to which brain tumors are responsive or resistant to therapeutics. These and other challenges have resulted in decades of failed human clinical trials. Numerous orthotopic and flank patient-derived mouse models have been developed to help address these important translational oncology issues in the preclinical setting.


Molecular Cancer Therapeutics | 2017

Abstract B14: Precision functional genomics for glioblastoma: Identifying molecular therapeutic targets using CRISPR-Cas9 and RNAi technologies in patient isolates

Pia Hoellerbauer; Heather Feldman; Sonali Arora; Lucas Carter; Emily J. Girard; Philip Corrin; James M. Olson; Eric C. Holland; Patrick J. Paddison

Glioblastoma (GBM) is the most aggressive and common form of adult brain cancer and is among the deadliest cancers, with a median survival of 15 months using standard-of-care therapies. Thus, improved treatments for GBM are desperately needed. To identify new GBM molecular therapeutic targets, our group has performed multiple functional genetic screens in patient-derived GBM stem-like cells (GSCs) and non-transformed human neural stem and progenitor cells (NPCs), which represent non-neoplastic controls. These screens, which have used both RNAi and CRISPR-Cas9 platforms, have led to the identification of several key molecular vulnerabilities in GSCs, including GBM-specific defects in: 39 splice site recognition, kinetochore function, and loss of redundancy between the kinase activities of PKMYT1 and WEE1. At this meeting we will present an overview of these studies, as well as our current efforts to: comprehensively retest all GBM-specific vulnerabilities scoring in these screens; address whether vulnerabilities arise from specific genetic alterations in patient samples (e.g. NF1 loss or PTEN loss); determine whether inhibition of specific molecular targets blocks tumor growth and/or maintenance; and demonstrate the mode of GBM-specific death for particular targets (e.g., cell cycle arrest, apoptosis, etc). In addition, we will highlight both strengths and limitations of applications of CRISPR-Cas9 technologies in patient samples. Collectively, our work illustrates the power of combining functional genetic technologies with the use of patient isolates to identify novel, patient-specific therapeutic strategies for GBM. Citation Format: Pia Hoellerbauer, Heather Feldman, Sonali Arora, Lucas Carter, Emily J. Girard, Philip Corrin, James M. Olson, Eric C. Holland, Patrick J. Paddison. Precision functional genomics for glioblastoma: Identifying molecular therapeutic targets using CRISPR-Cas9 and RNAi technologies in patient isolates [abstract]. In: Proceedings of the AACR Precision Medicine Series: Opportunities and Challenges of Exploiting Synthetic Lethality in Cancer; Jan 4-7, 2017; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2017;16(10 Suppl):Abstract nr B14.

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James M. Olson

Fred Hutchinson Cancer Research Center

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Patrick J. Paddison

Fred Hutchinson Cancer Research Center

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Philip Corrin

Fred Hutchinson Cancer Research Center

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Andrew D. Strand

Fred Hutchinson Cancer Research Center

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Chad M. Toledo

Fred Hutchinson Cancer Research Center

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Pia Hoellerbauer

Fred Hutchinson Cancer Research Center

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Ryan Basom

Fred Hutchinson Cancer Research Center

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Yu Ding

Fred Hutchinson Cancer Research Center

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Andrew J. Mhyre

Fred Hutchinson Cancer Research Center

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Colin Correnti

Fred Hutchinson Cancer Research Center

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