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Uribe Cardenas R, Laramee M, Ray I, Dahmane N, Souweidane M, Martin B. Influence of focused ultrasound on locoregional drug delivery to the brain: Potential implications for brain tumor therapy. J Control Release 2023; 362:755-763. [PMID: 37659767 DOI: 10.1016/j.jconrel.2023.08.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/25/2023] [Accepted: 08/30/2023] [Indexed: 09/04/2023]
Abstract
INTRODUCTION Efficient delivery of therapeutics across the blood-brain barrier (BBB) for the treatment of central nervous system (CNS) tumors is a major challenge to the development of safe and efficacious therapies. Locoregional drug delivery platforms offer an improved therapeutic index by achieving high drug concentrations in the target tissue with negligible systemic exposure. Intrathecal (intraventricular) [IT] and convection-enhanced delivery [CED] are two clinically relevant methods being employed for various CNS malignancies. Both of these standalone platforms suffer from passive post-administration distribution forces, sometimes limiting the desired distribution for tumor therapy. Focused ultrasound and microbubble-mediated blood-brain barrier opening (FUS-BBBO) is a recent modality used for enhanced drug delivery. It is postulated that coupling of FUS with these alternative delivery routes may provide benefits. Multimodality FUS may provide the desired ability to increase the depth of parenchymal delivery following IT administration and provide a means for contour directionality with CED. Further, the transient enhanced permeability achieved with FUS-BBBO is well established, but drug residence and transit times, important to clinical dose scheduling, have not yet been defined. The present investigation comprises two discrete studies: 1. Conduct a comprehensive quantitative evaluation to elucidate the effect of FUS-BBBO as it relates to varying routes of administration (IT and IV) in its capacity to facilitate drug penetration within the striatal-thalamic region. 2. Investigate the impact of combining FUS-BBBO with CED on drug distribution, with a specific focus on the temporal dynamics of drug retention within the target region. METHODS Firstly, we quantitatively assessed how FUS-BBBO coupled with IT and IV altered fluorescent dye (Dextran 2000 kDa and 70 kDa) distribution and concentration in a predetermined striatal-thalamic region in naïve mice. Secondly, we analyzed the pharmacokinetic effects of using FUS mediated BBB disruption coupled with CED by measuring the volume of distribution and time-dependent concentration of the dye. RESULTS Our results indicate that IV administration coupled with FUS-BBBO successfully enhances delivery of dye into the pre-defined sonication targets. Conversely, measurable dye in the sonication target was consistently less after IT administration. FUS enhances the distribution volume of dye after CED. Furthermore, a shorter time of residence was observed when CED was coupled with FUS-BBBO application when compared to CED alone. CONCLUSION 1. Based on our findings, IV delivery coupled with FUS-BBBO is a more efficient means for delivery to deep targets (i.e. striatal-thalamic region) within a predefined spatial conformation compared to IT administration. 2. FUS-BBBO increases the volume of distribution (Vd) of dye after CED administration, but results in a shorter time of residence. Whether this finding is reproducible with other classes of agents (e.g., cytotoxic agents, antibodies, viral particles, cellular therapies) needs to be studied.
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Affiliation(s)
| | - Madeline Laramee
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Ishani Ray
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Mark Souweidane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA; Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Brice Martin
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA.
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Cocito C, Martin B, Giantini-Larsen AM, Valcarce-Aspegren M, Souweidane MM, Szalontay L, Dahmane N, Greenfield JP. Leptomeningeal dissemination in pediatric brain tumors. Neoplasia 2023; 39:100898. [PMID: 37011459 PMCID: PMC10124141 DOI: 10.1016/j.neo.2023.100898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 03/09/2023] [Accepted: 03/13/2023] [Indexed: 04/03/2023]
Abstract
Leptomeningeal disease (LMD) in pediatric brain tumors (PBTs) is a poorly understood and categorized phenomenon. LMD incidence rates, as well as diagnosis, treatment, and screening practices, vary greatly depending on the primary tumor pathology. While LMD is encountered most frequently in medulloblastoma, reports of LMD have been described across a wide variety of PBT pathologies. LMD may be diagnosed simultaneously with the primary tumor, at time of recurrence, or as primary LMD without a primary intraparenchymal lesion. Dissemination and seeding of the cerebrospinal fluid (CSF) involves a modified invasion-metastasis cascade and is often the result of direct deposition of tumor cells into the CSF. Cells develop select environmental advantages to survive the harsh, nutrient poor and turbulent environment of the CSF and leptomeninges. Improved understanding of the molecular mechanisms that underlie LMD, along with improved diagnostic and treatment approaches, will help the prognosis of children affected by primary brain tumors.
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Martin B, Garman T, Laramee M, Wang A, Zhang X, Beck E, Wilson K, Klumpp-Thomas C, McKnight C, Xu X, Hagen N, Holland D, Dahmane N, Thomas CJ, Souweidane M. Preclinical validation of a novel therapeutic strategy for choroid plexus carcinoma. J Control Release 2023; 357:580-590. [PMID: 37054779 PMCID: PMC10174050 DOI: 10.1016/j.jconrel.2023.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/29/2023] [Accepted: 04/09/2023] [Indexed: 04/15/2023]
Abstract
Choroid plexus carcinoma (CPC) is a rare infantile brain tumor with an aggressive clinical course that often leaves children with debilitating side effects due to aggressive and toxic chemotherapies. Development of novel therapeutical strategies for this disease have been extremely limited owing to the rarity of the disease and the paucity of biologically relevant substrates. We conducted the first high-throughput screen (HTS) on a human patient-derived CPC cell line (Children Cancer Hospital Egypt, CCHE-45) and identified 427 top hits highlighting key molecular targets in CPC. Furthermore, a combination screen with a wide variety of targets revealed multiple synergistic combinations that may pave the way for novel therapeutical strategies against CPC. Based on in vitro efficiency, central nervous system (CNS) penetrance ability and feasible translational potential, two combinations using a DNA alkylating or topoisomerase inhibitors in combination with an ataxia telangiectasia mutated and rad3 (ATR) inhibitor (topotecan/elimusertib and melphalan/elimusertib respectively) were validated in vitro and in vivo. Pharmacokinetic assays established increased brain penetrance with intra-arterial (IA) delivery over intra-venous (IV) delivery and demonstrated a higher CNS penetrance for the combination melphalan/elimusertib. The mechanisms of synergistic activity for melphalan/elimusertib were assessed through transcriptome analyses and showed dysregulation of key oncogenic pathways (e.g. MYC, mammalian target of rapamycin mTOR, p53) and activation of critical biological processes (e.g. DNA repair, apoptosis, hypoxia, interferon gamma). Importantly, IA administration of melphalan combined with elimusertib led to a significant increase in survival in a CPC genetic mouse model. In conclusion, this study is, to the best of our knowledge, the first that identifies multiple promising combinatorial therapeutics for CPC and emphasizes the potential of IA delivery for the treatment of CPC.
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Affiliation(s)
- Brice Martin
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA.
| | - Tyler Garman
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Madeline Laramee
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Amy Wang
- Division of National Toxicology, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Xiaohu Zhang
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Erin Beck
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Kelli Wilson
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Carleen Klumpp-Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Crystal McKnight
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Xin Xu
- Division of National Toxicology, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Natalie Hagen
- Division of National Toxicology, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - David Holland
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Craig J Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mark Souweidane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA; Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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Guadix S, Martin B, Laramee M, Dahmane N, Thomas C, Souweidane M. MODL-05 Metronomic Intrathecal Delivery of CDK4/6 Inhibitors in Preclinical Models of Pediatric Brain Tumors. Neuro Oncol 2022. [PMCID: PMC9164952 DOI: 10.1093/neuonc/noac079.628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION: CDK4/6 inhibitors have shown promise against central nervous system (CNS) tumors in vitro. This class of drugs relies on long-term exposure. Their use in early phase clinical studies in children with CNS tumors has defined dose limitations due to systemic toxicity. We have sought to circumvent these limitations in using CDK4/6 inhibitors for pediatric CNS tumors by first demonstrating enhanced efficiency with long-term administration and exploiting prolonged intrathecal delivery (IT). METHODS: Pediatric CNS tumor cell lines were used for cell viability assays: ATRT (BT-12, BT-16), CPC (CCHE-45), diffuse midline glioma (DIPG-XIII, HSJD-007), and medulloblastoma (DAOY); the assays were conducted at 24h, 72h, and 7d post-administration of CDK4/6 inhibitors (abemaciclib, palbociclib, ribociclib). Half maximal growth inhibitory concentrations (GI50) and areas under the curve (AUC) were compared for short-term (24h, 72h) and long-term (7d) dose-response curves. Toxicity with chronic IT administration was assessed using a neurobehavioral safety profile of 7-day continuous infusion of 2.5mM palbociclib (n = 5) into the mouse lateral ventricle compared with vehicle (n = 4). RESULTS: Our results demonstrate increased CDK4/6 inhibitor potency with longer administration. The greatest reductions in short-term to long-term GI50 were observed in ATRT, CPC, and DIPG across all inhibitors. The most pronounced time-dependent efficacy was observed with palbociclib for ATRT and abemaciclib for CPC and DIPG. AUCs significantly decreased (P < 0.05) with increasing drug exposure time across all inhibitors. 7-day intraventricular palbociclib infusion was equivalent in safety to PBS at doses ranging from 1,000 to 10,000-fold the in vitro GI50. CONCLUSIONS: The efficiency of CDK4/6 inhibitors in pediatric CNS tumors is enhanced with prolonged exposure. Long-term IT administration can achieve high CNS doses without associated systemic toxicities. Translational efforts using a metronomic IT strategy are logical to explore for pediatric CNS tumors which have potential for a leptomeningeal disease pattern.
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Affiliation(s)
- Sergio Guadix
- Department of Neurological Surgery, Weill Cornell Medicine, New York , NY , USA
| | - Brice Martin
- Department of Neurological Surgery, Weill Cornell Medicine, New York , NY , USA
| | - Madeline Laramee
- Department of Neurological Surgery, Weill Cornell Medicine, New York , NY , USA
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medicine, New York , NY , USA
| | - Craig Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health , Rockville, MD , USA
| | - Mark Souweidane
- Department of Neurological Surgery, Weill Cornell Medicine, New York , NY , USA
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York , NY , USA
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E Yan R, P Greenfield J, Dahmane N. Developments in high-throughput functional epigenomics: CRISPR-single-cell assay for transposase-accessible chromatin using sequencing screens. Epigenomics 2022; 14:645-649. [PMID: 35574596 DOI: 10.2217/epi-2022-0093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Tweetable abstract CRISPR-scATAC-seq screens pave the way for high-throughput functional epigenomics by linking perturbations to a broad view of epigenetic state and messages hidden within accessible sequences.
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Affiliation(s)
- Rachel E Yan
- Weill Cornell Medical College, Department of Neurological Surgery, New York, NY 10021, USA
| | - Jeffrey P Greenfield
- Weill Cornell Medical College, Department of Neurological Surgery, New York, NY 10021, USA
| | - Nadia Dahmane
- Weill Cornell Medical College, Department of Neurological Surgery, New York, NY 10021, USA
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Xiang C, Frietze KK, Bi Y, Li Y, Dal Pozzo V, Pal S, Alexander N, Baubet V, D’Acunto V, Mason CE, Davuluri RV, Dahmane N. RP58 Represses Transcriptional Programs Linked to Nonneuronal Cell Identity and Glioblastoma Subtypes in Developing Neurons. Mol Cell Biol 2021; 41:e0052620. [PMID: 33903225 PMCID: PMC8315738 DOI: 10.1128/mcb.00526-20] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 11/01/2020] [Accepted: 03/23/2021] [Indexed: 12/27/2022] Open
Abstract
How mammalian neuronal identity is progressively acquired and reinforced during development is not understood. We have previously shown that loss of RP58 (ZNF238 or ZBTB18), a BTB/POZ-zinc finger-containing transcription factor, in the mouse brain leads to microcephaly, corpus callosum agenesis, and cerebellum hypoplasia and that it is required for normal neuronal differentiation. The transcriptional programs regulated by RP58 during this process are not known. Here, we report for the first time that in embryonic mouse neocortical neurons a complex set of genes normally expressed in other cell types, such as those from mesoderm derivatives, must be actively repressed in vivo and that RP58 is a critical regulator of these repressed transcriptional programs. Importantly, gene set enrichment analysis (GSEA) analyses of these transcriptional programs indicate that repressed genes include distinct sets of genes significantly associated with glioma progression and/or pluripotency. We also demonstrate that reintroducing RP58 in glioma stem cells leads not only to aspects of neuronal differentiation but also to loss of stem cell characteristics, including loss of stem cell markers and decrease in stem cell self-renewal capacities. Thus, RP58 acts as an in vivo master guardian of the neuronal identity transcriptome, and its function may be required to prevent brain disease development, including glioma progression.
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Affiliation(s)
- Chaomei Xiang
- Weill Cornell Medical College, Department of Neurological Surgery, New York, New York, USA
| | - Karla K. Frietze
- Weill Cornell Medical College, Department of Neurological Surgery, New York, New York, USA
| | - Yingtao Bi
- Northwestern University Feinberg School of Medicine, Department of Preventive Medicine, Chicago, Illinois, USA
| | - Yanwen Li
- Weill Cornell Medical College, Department of Neurological Surgery, New York, New York, USA
| | - Valentina Dal Pozzo
- Weill Cornell Medical College, Department of Neurological Surgery, New York, New York, USA
| | - Sharmistha Pal
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Noah Alexander
- Weill Cornell Medical College, Department of Physiology and Biophysics, New York, New York, USA
| | - Valerie Baubet
- Children's Hospital of Philadelphia, Center for Data Driven Discovery in Biomedicine (D3b), Philadelphia, Pennsylvania, USA
| | - Victoria D’Acunto
- Weill Cornell Medical College, Department of Neurological Surgery, New York, New York, USA
| | - Christopher E. Mason
- Weill Cornell Medical College, Department of Physiology and Biophysics, New York, New York, USA
| | - Ramana V. Davuluri
- Northwestern University Feinberg School of Medicine, Department of Preventive Medicine, Chicago, Illinois, USA
| | - Nadia Dahmane
- Weill Cornell Medical College, Department of Neurological Surgery, New York, New York, USA
- University of Pennsylvania School of Medicine, Department of Neurosurgery, Philadelphia, Pennsylvania, USA
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Martin B, Thomas C, Garman T, Lin D, Dahmane N, Souweidane M. RARE-17. HIGH-THROUGHPUT SCREEN IDENTIFIES POTENTIAL CHEMOTHERAPIES FOR CHOROID PLEXUS CARCINOMA TREATMENT USING INTRAARTERIAL STRATEGY. Neuro Oncol 2021. [PMCID: PMC8168223 DOI: 10.1093/neuonc/noab090.178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Choroid plexus carcinoma is a rare infantile brain tumor with an aggressive clinical course.1 There is no optimal treatment and survival is poor. Gross total surgical removal is the single most important predictor of survival.1 Gross total surgical removal rates are inconsistent and associated with significant morbidity owing to the hemorrhagic nature of these tumors compounded by a small circulating blood volume. Neoadjuvant systemic chemotherapy with “second look surgery” helps to achieve gross total surgical removal2 but has an inefficient pharmacokinetic profile and exposes children to dose- limiting toxic side effects. Hence, there is a strong need to identify and develop new agents and strategies to improve current choroid plexus carcinoma (CPC) treatment. Here, we report a high-throughput drug screening using a CPC cancer tissue-originated from a 7-year-old male patient and procured (Children’s Cancer Hospital Egypt) to identify new potent drugs. The selected candidates have been used as single agent and combination agent chemotherapy to propose a relevant study (e.g pharmacokinetics, toxicity, biodistribution, anticancer efficacy) for improving CPC treatment using a pre-existing intraarterial chemotherapy. A genetically engineered model has been developed by Shannon et al by breeding RosamTmG with Nestin-Cre to generate Nestin-cre/Rosa mTmG reporter mice overexpressing c-Myc, which provides a fully penetrant model of CPC in the lateral ventricle CP and 4th ventricle CP.3 This mice model will be used to explore in vivo the newly discovered drug combinations to treat the CPC tumor. 1. Hosmann, A. et al. Management of choroid plexus tumors—an institutional experience. Acta Neurochir. (Wien). 161, 745–754 (2019) 2. Schneider, C. et al. Neoadjuvant chemotherapy reduces blood loss during the resection of pediatric choroid plexus carcinomas *christian. J. Neurosurg. Pediatr. Pediatr. 16, 126–133 (2015) 3. Shannon, M. L. et al. Mice Expressing Myc in Neural Precursors Develop Choroid Plexus and Ciliary Body Tumors. Am. J. Pathol. 188, 1334–1344 (2018)
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Affiliation(s)
| | | | | | - Daisy Lin
- Weill Cornell Medicine, New York, NY, USA
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Cocito C, Branchtein M, Gongora T, Dahmane N, Greenfield J. HGG-41. CHARACTERIZATION OF THE IMMUNE RESPONSE FOLLOWING VARIOUS RADIOTHERAPY TREATMENTS IN GLIOBLASTOMA. Neuro Oncol 2021. [PMCID: PMC8263153 DOI: 10.1093/neuonc/noab090.105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Malignant gliomas represent 6.5% of all childhood brain neoplasms with a 5-years survival rate of less than 20%. Current standard of care for these tumors include radiotherapy; recent data in solid tumors indicate that adequate radiation protocols may synergize with immunotherapy strategies for better outcomes. Nonetheless, a great discrepancy between preclinical studies and clinical trials outcomes persists, the basis of which is not fully understood. One hypothesis may be due to different radiation protocols used. We used the GL261 syngeneic mouse model of glioma to test this hypothesis and characterize the immune response to radiotherapy, with either a single dose of 10Gy, a dose often used in preclinical models, or a fractionated treatment of 2Gy for five consecutive days (2Gyx5), as fractioned radiotherapy is most often used in patients. The immune content of the brain and the blood was assessed by flow cytometry in un-irradiated (control), 10Gyx1 and 2Gyx5 treated mice for three weeks after radiation. In the brain, both radiation regimens drastically reduced the number of CD45+ cells for the first two weeks after treatment. When compared to controls, 10Gyx1 but not 2Gyx5 treated mice showed a significant increase in tumor infiltrating lymphocytes (CD3+) starting from the second week following treatment. This effect persisted until three weeks post treatment. The 10Gyx1 dose was better tolerated by the resident microglia (CD45lowCD11b+) when compared to the 2Gyx5 treatment. Our data describe the dynamics through which the immune microenvironment responds to two radiation regimens over time. Our results show that 10Gyx1 is the most effective regimen to impede tumor growth and to induce lymphocyte infiltration once the system recovers from the treatment. Our work suggests that, in the GL261 model, the fractionated radiation treatment we tested may be less optimal in priming glioma cells to the immune system.
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Tosi U, Kommidi H, Adeuyan O, Guo H, Maachani UB, Chen N, Su T, Zhang G, Pisapia D, Dahmane N, Ting R, Souweidane M. EXTH-55. PET, IMAGE-GUIDED HDAC INHIBITION OF PEDIATRIC DIFFUSE MIDLINE GLIOMA IMPROVES SURVIVAL IN MURINE MODELS. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Efforts at altering the dismal prognosis of pediatric midline gliomas focus on direct-delivery strategies like convection-enhanced delivery (CED), where a cannula is implanted into tumor. Successful CED treatments require confirmation of tumor coverage, dosimetry, and longitudinal in vivo pharmacokinetics monitoring. These properties would be best determined clinically with image guided dosimetry using theranostic compounds, agents with both therapeutic and imaging properties. In this study, we combine CED with novel, molecular-grade positron emission tomography (PET) imaging. We synthesized PETobinostat, a novel PET-imageable HDAC inhibitor, and showed its effectiveness against DIPG models in vitro and in vivo. Cell studies against a library of DIPG cells show nanomolar IC50, allowing for rapid in vivo translation. When injected in mice, PET shows the need of CED to achieve high brain concentrations, as systemic delivery yields inferior brain permeation. PET also shows that CED has significant mouse-to-mouse variability: imaging is used to modulate CED infusions to maximize tumor saturation over time. By determining condition-specific clearance half-life (ranging between 60 and 120 minutes), we maximized tumor permeation above therapeutic concentrations for at least 12 hours. This PET-guided approach resulted in decrease tumor cellularity (p= 0.001), increased apoptosis (p= 0.034), decreased dividing cells (p= 0.003), and recovery of histone-3 acetylation (p < 0.0001) when compared against vehicle and systemic-treated controls in tumor-bearing mice. Further, the PET-guided CED of PETobinostat resulted in survival prolongation (67.5 vs. 35 days, p = 0.0001) when compared to systemic administration of another potent HDAC inhibitor (Panobinostat). CED without PET guidance failed at improving survival (37.5 vs. 35 days, p = 0.74). No significant toxicity was observed following CED of PETobinostat. This work demonstrates how personalized image-guided drug delivery of a novel HDAC inhibitor may be useful in potentiating CED-based treatment platforms, and supports a foundation for the clinical translation of PETobinostat.
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Affiliation(s)
| | | | | | - Hua Guo
- Weill Cornell Medicine, New York, NY, USA
| | | | - Nandi Chen
- Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | | | - Mark Souweidane
- NY Presbyterian Hospital/Weill Cornell Medical Center, New York, NY, USA
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Tosi U, Kommidi H, Adeuyan O, Guo H, Maachani UB, Chen N, Su T, Zhang G, Pisapia DJ, Dahmane N, Ting R, Souweidane MM. PET, image-guided HDAC inhibition of pediatric diffuse midline glioma improves survival in murine models. Sci Adv 2020; 6:eabb4105. [PMID: 32832670 PMCID: PMC7439439 DOI: 10.1126/sciadv.abb4105] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 06/05/2020] [Indexed: 05/24/2023]
Abstract
Efforts at altering the dismal prognosis of pediatric midline gliomas focus on direct delivery strategies like convection-enhanced delivery (CED), where a cannula is implanted into tumor. Successful CED treatments require confirmation of tumor coverage, dosimetry, and longitudinal in vivo pharmacokinetic monitoring. These properties would be best determined clinically with image-guided dosimetry using theranostic agents. In this study, we combine CED with novel, molecular-grade positron emission tomography (PET) imaging and show how PETobinostat, a novel PET-imageable HDAC inhibitor, is effective against DIPG models. PET data reveal that CED has significant mouse-to-mouse variability; imaging is used to modulate CED infusions to maximize tumor saturation. The use of PET-guided CED results in survival prolongation in mouse models; imaging shows the need of CED to achieve high brain concentrations. This work demonstrates how personalized image-guided drug delivery may be useful in potentiating CED-based treatment algorithms and supports a foundation for clinical translation of PETobinostat.
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Affiliation(s)
- Umberto Tosi
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Harikrishna Kommidi
- Department of Radiology, Molecular Imaging Innovations Institute, Weill Cornell Medicine, New York, NY 10065, USA
| | - Oluwaseyi Adeuyan
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Hua Guo
- Department of Radiology, Molecular Imaging Innovations Institute, Weill Cornell Medicine, New York, NY 10065, USA
| | - Uday Bhanu Maachani
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Nandi Chen
- Department of Radiology, Molecular Imaging Innovations Institute, Weill Cornell Medicine, New York, NY 10065, USA
| | - Taojunfeng Su
- Proteomics and Metabolomics Core Facility, Weill Cornell Medicine, New York, NY 10021, USA
| | - Guoan Zhang
- Proteomics and Metabolomics Core Facility, Weill Cornell Medicine, New York, NY 10021, USA
| | - David J. Pisapia
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Richard Ting
- Department of Radiology, Molecular Imaging Innovations Institute, Weill Cornell Medicine, New York, NY 10065, USA
| | - Mark M. Souweidane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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Abstract
Background Clinical trials for brain tumors represent a significant opportunity for both patients and providers to understand and combat a disease with substantial morbidity. The aim of this study was to quantify and map ethnic and racial representation in brain tumor trials and examine the potential gaps in trial recruitment. We also show that these representation gaps persist even in large multicultural cities like New York City. Methods We analyzed brain tumor clinical trials registered on www.clinicaltrials.gov between July 1, 2005 and completed on or before November 11, 2017. We used a combination of PubMed/MEDLINE and Google Scholar to find associated publications and obtained trial information as well as patient demographic information (when available) including race or ancestry. Results Out of 471 trials, 27% had no published results. Only 28.4% of trials with results reported race or ethnicity of trial participants, with no observed upward trend by year. Whites were significantly overrepresented in trials for metastatic brain tumors (P < .001) and high-grade trials (P < .001). Blacks/African Americans (AAs), Hispanics, and Asians were significantly underrepresented (P < .001) in high-grade trials, while only Blacks/AAs were underrepresented in trials for metastatic brain tumors (P < .001). Representation gaps were not observed in pediatric trials. Despite being a multicultural hub, New York City displayed similar gaps in trial representation. Conclusions Despite increasing representation in the American population, minorities are underrepresented in brain tumor trials. In addition, despite numerous legal requirements and ethical mandates, published results including race-based information are remarkably absent from 70% of brain tumor trials.
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Affiliation(s)
- Birra Taha
- Department of Neurosurgery, University of Minnesota, Minneapolis, MN, USA
| | - Graham Winston
- Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY, USA
| | - Umberto Tosi
- Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY, USA
| | - Benjamin Hartley
- Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY, USA
| | - Caitlin Hoffman
- Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY, USA
| | - Nadia Dahmane
- Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics and Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA.,Feil Family Brain and Mind Research Institute, New York, NY, USA
| | - Jeffrey P Greenfield
- Department of Neurological Surgery, New York Presbyterian Hospital, Weill Cornell Medical College, New York, NY, USA
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12
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Maachani UB, Tosi U, Pisapia DJ, Mukherjee S, Marnell CS, Voronina J, Martinez D, Santi M, Dahmane N, Zhou Z, Hawkins C, Souweidane MM. B7-H3 as a Prognostic Biomarker and Therapeutic Target in Pediatric central nervous system Tumors. Transl Oncol 2019; 13:365-371. [PMID: 31887631 PMCID: PMC6938869 DOI: 10.1016/j.tranon.2019.11.006] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 11/10/2019] [Accepted: 11/11/2019] [Indexed: 12/12/2022] Open
Abstract
B7–H3 (CD276), a member of the B7 superfamily, is an important factor in downregulating immune responses against tumors. It is also aberrantly expressed in many human malignancies. Beyond immune regulatory roles, its overexpression has been linked to invasive metastatic potential and poor prognosis in patients with cancer. Antibody-dependent cell-mediated cytotoxicity strategies targeting B7–H3 are currently in development, and early-phase clinical trials have shown encouraging preliminary results. To understand the role of B7–H3 in pediatric central nervous system (CNS) malignancies, a comprehensive panel of primary CNS tumors of childhood was examined by immunohistochemistry for levels and extent of B7–H3 expression. In addition, B7–H3 m-RNA expression status and association with overall survival in various pediatric CNS tumor types was accessed by curating publicly available patient gene expression data sets derived from bioinformatics analysis and visualization platforms (GlioVis). We demonstrate that B7–H3 is broadly expressed in pediatric glial and nonglial CNS tumors, and its aberrant expression, as determined by immunohistochemical staining intensity, correlates with tumor grade. Moreover, high B7–H3 m-RNA expression is significantly associated with worse survival and could potentially improve prognostication in various brain tumor types of childhood. B7–H3 can be used as a therapeutic target, given its tumor selectivity and the availability of targeted therapeutic agents to this antigen.
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Affiliation(s)
- Uday B Maachani
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Umberto Tosi
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA
| | - David J Pisapia
- Department of Pathology, Weill Cornell Medicine, New York, NY, USA
| | | | | | - Julia Voronina
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Martinez
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mariarita Santi
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Zhiping Zhou
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cynthia Hawkins
- Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON Canada
| | - Mark M Souweidane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA; Department of Neurological Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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13
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Rathore S, Akbari H, Bakas S, Pisapia JM, Shukla G, Rudie JD, Da X, Davuluri RV, Dahmane N, O'Rourke DM, Davatzikos C. Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients. Front Comput Neurosci 2019; 13:81. [PMID: 31920606 PMCID: PMC6923885 DOI: 10.3389/fncom.2019.00081] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 11/12/2019] [Indexed: 12/30/2022] Open
Abstract
Glioblastoma, the most frequent primary malignant brain neoplasm, is genetically diverse and classified into four transcriptomic subtypes, i. e., classical, mesenchymal, proneural, and neural. Currently, detection of transcriptomic subtype is based on ex vivo analysis of tissue that does not capture the spatial tumor heterogeneity. In view of accumulative evidence of in vivo imaging signatures summarizing molecular features of cancer, this study seeks robust non-invasive radiographic markers of transcriptomic classification of glioblastoma, based solely on routine clinically-acquired imaging sequences. A pre-operative retrospective cohort of 112 pathology-proven de novo glioblastoma patients, having multi-parametric MRI (T1, T1-Gd, T2, T2-FLAIR), collected from the Hospital of the University of Pennsylvania were included. Following tumor segmentation into distinct radiographic sub-regions, diverse imaging features were extracted and support vector machines were employed to multivariately integrate these features and derive an imaging signature of transcriptomic subtype. Extracted features included intensity distributions, volume, morphology, statistics, tumors' anatomical location, and texture descriptors for each tumor sub-region. The derived signature was evaluated against the transcriptomic subtype of surgically-resected tissue specimens, using a 5-fold cross-validation method and a receiver-operating-characteristics analysis. The proposed model was 71% accurate in distinguishing among the four transcriptomic subtypes. The accuracy (sensitivity/specificity) for distinguishing each subtype (classical, mesenchymal, proneural, neural) from the rest was equal to 88.4% (71.4/92.3), 75.9% (83.9/72.8), 82.1% (73.1/84.9), and 75.9% (79.4/74.4), respectively. The findings were also replicated in The Cancer Genomic Atlas glioblastoma dataset. The obtained imaging signature for the classical subtype was dominated by associations with features related to edge sharpness, whereas for the mesenchymal subtype had more pronounced presence of higher T2 and T2-FLAIR signal in edema, and higher volume of enhancing tumor and edema. The proneural and neural subtypes were characterized by the lower T1-Gd signal in enhancing tumor and higher T2-FLAIR signal in edema, respectively. Our results indicate that quantitative multivariate analysis of features extracted from clinically-acquired MRI may provide a radiographic biomarker of the transcriptomic profile of glioblastoma. Importantly our findings can be influential in surgical decision-making, treatment planning, and assessment of inoperable tumors.
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Affiliation(s)
- Saima Rathore
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Hamed Akbari
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jared M Pisapia
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Division of Neurosurgery, Children Hospital of Philadelphia, Philadelphia, PA, United States
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Christiana Care Health System, Philadelphia, PA, United States
| | - Jeffrey D Rudie
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Xiao Da
- Brigham and Women's Hospital, Boston, MA, United States
| | - Ramana V Davuluri
- Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, United States
| | - Donald M O'Rourke
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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14
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Martinez-Lage M, Lynch TM, Bi Y, Cocito C, Way GP, Pal S, Haller J, Yan RE, Ziober A, Nguyen A, Kandpal M, O’Rourke DM, Greenfield JP, Greene CS, Davuluri RV, Dahmane N. Immune landscapes associated with different glioblastoma molecular subtypes. Acta Neuropathol Commun 2019; 7:203. [PMID: 31815646 PMCID: PMC6902522 DOI: 10.1186/s40478-019-0803-6] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 09/04/2019] [Indexed: 12/14/2022] Open
Abstract
Recent work has highlighted the tumor microenvironment as a central player in cancer. In particular, interactions between tumor and immune cells may help drive the development of brain tumors such as glioblastoma multiforme (GBM). Despite significant research into the molecular classification of glioblastoma, few studies have characterized in a comprehensive manner the immune infiltrate in situ and within different GBM subtypes. In this study, we use an unbiased, automated immunohistochemistry-based approach to determine the immune phenotype of the four GBM subtypes (classical, mesenchymal, neural and proneural) in a cohort of 98 patients. Tissue Micro Arrays (TMA) were stained for CD20 (B lymphocytes), CD5, CD3, CD4, CD8 (T lymphocytes), CD68 (microglia), and CD163 (bone marrow derived macrophages) antibodies. Using automated image analysis, the percentage of each immune population was calculated with respect to the total tumor cells. Mesenchymal GBMs displayed the highest percentage of microglia, macrophage, and lymphocyte infiltration. CD68+ and CD163+ cells were the most abundant cell populations in all four GBM subtypes, and a higher percentage of CD163+ cells was associated with a worse prognosis. We also compared our results to the relative composition of immune cell type infiltration (using RNA-seq data) across TCGA GBM tumors and validated our results obtained with immunohistochemistry with an external cohort and a different method. The results of this study offer a comprehensive analysis of the distribution and the infiltration of the immune components across the four commonly described GBM subgroups, setting the basis for a more detailed patient classification and new insights that may be used to better apply or design immunotherapies for GBM.
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15
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Viaene AN, Zhang B, Martinez-Lage M, Xiang C, Tosi U, Thawani JP, Gungor B, Zhu Y, Roccograndi L, Zhang L, Bailey RL, Storm PB, O’Rourke DM, Resnick AC, Grady MS, Dahmane N. Transcriptome signatures associated with meningioma progression. Acta Neuropathol Commun 2019; 7:67. [PMID: 31039818 PMCID: PMC6489307 DOI: 10.1186/s40478-019-0690-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 02/25/2019] [Indexed: 12/12/2022] Open
Abstract
Meningiomas are the most common primary brain tumor of adults. The majority are benign (WHO grade I), with a mostly indolent course; 20% of them (WHO grade II and III) are, however, considered aggressive and require a more complex management. WHO grade II and III tumors are heterogeneous and, in some cases, can develop from a prior lower grade meningioma, although most arise de novo. Mechanisms leading to progression or implicated in de novo grade II and III tumorigenesis are poorly understood. RNA-seq was used to profile the transcriptome of grade I, II, and III meningiomas and to identify genes that may be involved in progression. Bioinformatic analyses showed that grade I meningiomas that progress to a higher grade are molecularly different from those that do not. As such, we identify GREM2, a regulator of the BMP pathway, and the snoRNAs SNORA46 and SNORA48, as being significantly reduced in meningioma progression. Additionally, our study has identified several novel fusion transcripts that are differentially present in meningiomas, with grade I tumors that did not progress presenting more fusion transcripts than all other tumors. Interestingly, our study also points to a difference in the tumor immune microenvironment that correlates with histopathological grade.
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16
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Yin Y, Boesteanu AC, Binder ZA, Xu C, Reid RA, Rodriguez JL, Cook DR, Thokala R, Blouch K, McGettigan-Croce B, Zhang L, Konradt C, Cogdill AP, Panjwani MK, Jiang S, Migliorini D, Dahmane N, Posey AD, June CH, Mason NJ, Lin Z, O’Rourke DM, Johnson LA. Checkpoint Blockade Reverses Anergy in IL-13Rα2 Humanized scFv-Based CAR T Cells to Treat Murine and Canine Gliomas. Mol Ther Oncolytics 2018; 11:20-38. [PMID: 30306125 PMCID: PMC6174845 DOI: 10.1016/j.omto.2018.08.002] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 08/22/2018] [Indexed: 12/31/2022]
Abstract
We generated two humanized interleukin-13 receptor α2 (IL-13Rα2) chimeric antigen receptors (CARs), Hu07BBz and Hu08BBz, that recognized human IL-13Rα2, but not IL-13Rα1. Hu08BBz also recognized canine IL-13Rα2. Both of these CAR T cell constructs demonstrated superior tumor inhibitory effects in a subcutaneous xenograft model of human glioma compared with a humanized EGFRvIII CAR T construct used in a recent phase 1 clinical trial (ClinicalTrials.gov: NCT02209376). The Hu08BBz demonstrated a 75% reduction in orthotopic tumor growth using low-dose CAR T cell infusion. Using combination therapy with immune checkpoint blockade, humanized IL-13Rα2 CAR T cells performed significantly better when combined with CTLA-4 blockade, and humanized EGFRvIII CAR T cells’ efficacy was improved by PD-1 and TIM-3 blockade in the same mouse model, which was correlated with the levels of checkpoint molecule expression in co-cultures with the same tumor in vitro. Humanized IL-13Rα2 CAR T cells also demonstrated benefit from a self-secreted anti-CTLA-4 minibody in the same mouse model. In addition to a canine glioma cell line (J3T), canine osteosarcoma lung cancer and leukemia cell lines also express IL-13Rα2 and were recognized by Hu08BBz. Canine IL-13Rα2 CAR T cell was also generated and tested in vitro by co-culture with canine tumor cells and in vivo in an orthotopic model of canine glioma. Based on these results, we are designing a pre-clinical trial to evaluate the safety of canine IL-13Rα2 CAR T cells in dog with spontaneous IL-13Rα2-positive glioma, which will help to inform a human clinical trial design for glioblastoma using humanized scFv-based IL-13Rα2 targeting CAR T cells.
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Affiliation(s)
- Yibo Yin
- The Fourth Section of Department of Neurosurgery, The First Affiliated Hospital, Harbin Medical University, Harbin 150001, China
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alina C. Boesteanu
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Zev A. Binder
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Chong Xu
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy, Philadelphia, PA 19104, USA
| | - Reiss A. Reid
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jesse L. Rodriguez
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Danielle R. Cook
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Radhika Thokala
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kristin Blouch
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bevin McGettigan-Croce
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Logan Zhang
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christoph Konradt
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alexandria P. Cogdill
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - M. Kazim Panjwani
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy, Philadelphia, PA 19104, USA
| | - Shuguang Jiang
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Denis Migliorini
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy, Philadelphia, PA 19104, USA
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Avery D. Posey
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy, Philadelphia, PA 19104, USA
| | - Carl H. June
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy, Philadelphia, PA 19104, USA
| | - Nicola J. Mason
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy, Philadelphia, PA 19104, USA
| | - Zhiguo Lin
- The Fourth Section of Department of Neurosurgery, The First Affiliated Hospital, Harbin Medical University, Harbin 150001, China
- Corresponding author: Zhiguo Lin, The Fourth Section of Department of Neurosurgery, The First Affiliated Hospital, Harbin Medical University, Harbin 150001, China.
| | - Donald M. O’Rourke
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Corresponding author: Donald O’Rourke, University of Pennsylvania, Hospital of the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA 19104, USA.
| | - Laura A. Johnson
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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17
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Akbari H, Bakas S, Pisapia JM, Nasrallah MP, Rozycki M, Martinez-Lage M, Morrissette JJD, Dahmane N, O’Rourke DM, Davatzikos C. In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature. Neuro Oncol 2018; 20:1068-1079. [PMID: 29617843 PMCID: PMC6280148 DOI: 10.1093/neuonc/noy033] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background Epidermal growth factor receptor variant III (EGFRvIII) is a driver mutation and potential therapeutic target in glioblastoma. Non-invasive in vivo EGFRvIII determination, using clinically acquired multiparametric MRI sequences, could assist in assessing spatial heterogeneity related to EGFRvIII, currently not captured via single-specimen analyses. We hypothesize that integration of subtle, yet distinctive, quantitative imaging/radiomic patterns using machine learning may lead to non-invasively determining molecular characteristics, and particularly the EGFRvIII mutation. Methods We integrated diverse imaging features, including the tumor's spatial distribution pattern, via support vector machines, to construct an imaging signature of EGFRvIII. This signature was evaluated in independent discovery (n = 75) and replication (n = 54) cohorts of de novo glioblastoma, and compared with the EGFRvIII status obtained through an assay based on next-generation sequencing. Results The cross-validated accuracy of the EGFRvIII signature in classifying the mutation status in individual patients of the independent discovery and replication cohorts was 85.3% (specificity = 86.3%, sensitivity = 83.3%, area under the curve [AUC] = 0.85) and 87% (specificity = 90%, sensitivity = 78.6%, AUC = 0.86), respectively. The signature was consistent with EGFRvIII+ tumors having increased neovascularization and cell density, as well as a distinctive spatial pattern involving relatively more frontal and parietal regions compared with EGFRvIII- tumors. Conclusions An imaging signature of EGFRvIII was found, revealing a complex, yet distinct macroscopic glioblastoma phenotype. By non-invasively capturing the tumor in its entirety, the proposed methodology can assist in evaluating the tumor's spatial heterogeneity, hence overcoming common spatial sampling limitations of tissue-based analyses. This signature can preoperatively stratify patients for EGFRvIII-targeted therapies, and potentially monitor dynamic mutational changes during treatment.
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Affiliation(s)
- Hamed Akbari
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Jared M Pisapia
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - MacLean P Nasrallah
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Martin Rozycki
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Maria Martinez-Lage
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Jennifer J D Morrissette
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Nadia Dahmane
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Donald M O’Rourke
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadephia, Pennsylvania
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18
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Maachani UB, Zhou Z, Martinez D, Santi M, Dahmane N, Souweidane M. TBIO-06. B7-H3 EXPRESSION AS A POTENTIAL BIOMARKER OF PROGNOSIS AND TARGET IN PEDIATRIC GLIAL AND NON-GLIAL CNS TUMORS. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy059.695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Uday Bhanu Maachani
- Department of Neurological Surgery, Weill Cornell Medical College, New York, NY, USA
| | - Zhiping Zhou
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel Martinez
- Department of Pathology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mariarita Santi
- Department of Pathology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Nadia Dahmane
- Department of Neurological Surgery, Weill Cornell Medical College, New York, NY, USA
| | - Mark Souweidane
- Department of Neurological Surgery, Weill Cornell Medical College, New York, NY, USA
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19
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Wang Q, He Z, Huang M, Liu T, Wang Y, Xu H, Duan H, Ma P, Zhang L, Zamvil SS, Hidalgo J, Zhang Z, O'Rourke DM, Dahmane N, Brem S, Mou Y, Gong Y, Fan Y. Vascular niche IL-6 induces alternative macrophage activation in glioblastoma through HIF-2α. Nat Commun 2018; 9:559. [PMID: 29422647 PMCID: PMC5805734 DOI: 10.1038/s41467-018-03050-0] [Citation(s) in RCA: 156] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 01/16/2018] [Indexed: 12/25/2022] Open
Abstract
Spatiotemporal regulation of tumor immunity remains largely unexplored. Here we identify a vascular niche that controls alternative macrophage activation in glioblastoma (GBM). We show that tumor-promoting macrophages are spatially proximate to GBM-associated endothelial cells (ECs), permissive for angiocrine-induced macrophage polarization. We identify ECs as one of the major sources for interleukin-6 (IL-6) expression in GBM microenvironment. Furthermore, we reveal that colony-stimulating factor-1 and angiocrine IL-6 induce robust arginase-1 expression and macrophage alternative activation, mediated through peroxisome proliferator-activated receptor-γ-dependent transcriptional activation of hypoxia-inducible factor-2α. Finally, utilizing a genetic murine GBM model, we show that EC-specific knockout of IL-6 inhibits macrophage alternative activation and improves survival in the GBM-bearing mice. These findings illustrate a vascular niche-dependent mechanism for alternative macrophage activation and cancer progression, and suggest that targeting endothelial IL-6 may offer a selective and efficient therapeutic strategy for GBM, and possibly other solid malignant tumors.
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Affiliation(s)
- Qirui Wang
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- School of Traditional Chinese Medicine, Southern Medical University, 510515, Guangzhou, China
| | - Zhenqiang He
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China
| | - Menggui Huang
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Tianrun Liu
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Otorhinolaryngology, Division of Head and Neck Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, 510655, Guangzhou, China
| | - Yanling Wang
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Haineng Xu
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Hao Duan
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China
| | - Peihong Ma
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Lin Zhang
- Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Scott S Zamvil
- Department of Neurology and Program in Immunology, University of California at San Francisco, San Francisco, CA, 94158, USA
| | - Juan Hidalgo
- Department of Cellular Biology, Physiology, and Immunology, Autonomous University of Barcelona, 08193, Barcelona, Spain
| | - Zhenfeng Zhang
- Department of Radiology The, Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China
| | - Donald M O'Rourke
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Nadia Dahmane
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Steven Brem
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Yonggao Mou
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China
| | - Yanqing Gong
- Department of Medicine, Division of Human Genetics and Translational Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Yi Fan
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
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Rathore S, Akbari H, Rozycki M, Abdullah K, Nasrallah M, Binder ZA, Lustig R, Dahmane N, Bilello M, O’Rourke D, Davatzikos C. NIMG-59. RADIOLOGIC SUBTYPES OF GLIOBLASTOMA CALCULATED VIA MULTI-PARAMETRIC IMAGING SIGNATURES REVEAL COMPLEMENTARY INFORMATION TO CURRENT WHO CLASSIFICATION. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox168.633] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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21
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Roccograndi L, Binder ZA, Zhang L, Aceto N, Zhang Z, Bentires-Alj M, Nakano I, Dahmane N, O'Rourke DM. SHP2 regulates proliferation and tumorigenicity of glioma stem cells. J Neurooncol 2017; 135:487-496. [PMID: 28852935 DOI: 10.1007/s11060-017-2610-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 08/20/2017] [Indexed: 12/15/2022]
Abstract
SHP2 is a cytoplasmic protein tyrosine phosphatase (PTPase) involved in multiple signaling pathways and was the first identified proto-oncogene PTPase. Previous work in glioblastoma (GBM) has demonstrated the role of SHP2 PTPase activity in modulating the oncogenic phenotype of adherent GBM cell lines. Mutations in PTPN11, the gene encoding SHP2, have been identified with increasing frequency in GBM. Given the importance of SHP2 in developing neural stem cells, and the importance of glioma stem cells (GSCs) in GBM oncogenesis, we explored the functional role of SHP2 in GSCs. Using paired differentiated and stem cell primary cultures, we investigated the association of SHP2 expression with the tumor stem cell compartment. Proliferation and soft agar assays were used to demonstrate the functional contribution of SHP2 to cell growth and transformation. SHP2 expression correlated with SOX2 expression in GSC lines and was decreased in differentiated cells. Forced differentiation of GSCs by removal of growth factors, as confirmed by loss of SOX2 expression, also resulted in decreased SHP2 expression. Lentiviral-mediated knockdown of SHP2 inhibited proliferation. Finally, growth in soft-agar was similarly inhibited by loss of SHP2 expression. Our results show that SHP2 function is required for cell growth and transformation of the GSC compartment in GBM.
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Affiliation(s)
- Laura Roccograndi
- Department of Neurosurgery, University of Pennsylvania School of Medicine, 502 Stemmler Hall, 36th and Hamilton Walk, Philadelphia, PA, 19104, USA
| | - Zev A Binder
- Department of Neurosurgery, University of Pennsylvania School of Medicine, 502 Stemmler Hall, 36th and Hamilton Walk, Philadelphia, PA, 19104, USA
| | - Logan Zhang
- Department of Neurosurgery, University of Pennsylvania School of Medicine, 502 Stemmler Hall, 36th and Hamilton Walk, Philadelphia, PA, 19104, USA
| | - Nicola Aceto
- Department of Biomedicine, Cancer Metastasis, University of Basel, 4058, Basel, Switzerland
| | - Zhuo Zhang
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Ichiro Nakano
- Department of Neurosurgery, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nadia Dahmane
- Department of Neurosurgery, University of Pennsylvania School of Medicine, 502 Stemmler Hall, 36th and Hamilton Walk, Philadelphia, PA, 19104, USA
| | - Donald M O'Rourke
- Department of Neurosurgery, University of Pennsylvania School of Medicine, 502 Stemmler Hall, 36th and Hamilton Walk, Philadelphia, PA, 19104, USA.
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22
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Xiang C, Baubet V, Bi Y, Zhang L, Pal S, O’Rourke D, Martinez-Lage M, Davuluri R, Dahmane N. TMOD-11. A NOVEL ANIMAL MODEL OF MEDULLOBLASTOMA METASTASIS. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox083.210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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23
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Bakas S, Akbari H, Pisapia J, Martinez-Lage M, Rozycki M, Rathore S, Dahmane N, O'Rourke DM, Davatzikos C. In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The φ-Index. Clin Cancer Res 2017; 23:4724-4734. [PMID: 28428190 DOI: 10.1158/1078-0432.ccr-16-1871] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 11/30/2016] [Accepted: 04/17/2017] [Indexed: 12/24/2022]
Abstract
Purpose: The epidermal growth factor receptor variant III (EGFRvIII) mutation has been considered a driver mutation and therapeutic target in glioblastoma, the most common and aggressive brain cancer. Currently, detecting EGFRvIII requires postoperative tissue analyses, which are ex vivo and unable to capture the tumor's spatial heterogeneity. Considering the increasing evidence of in vivo imaging signatures capturing molecular characteristics of cancer, this study aims to detect EGFRvIII in primary glioblastoma noninvasively, using routine clinically acquired imaging.Experimental Design: We found peritumoral infiltration and vascularization patterns being related to EGFRvIII status. We therefore constructed a quantitative within-patient peritumoral heterogeneity index (PHI/φ-index), by contrasting perfusion patterns of immediate and distant peritumoral edema. Application of φ-index in preoperative perfusion scans of independent discovery (n = 64) and validation (n = 78) cohorts, revealed the generalizability of this EGFRvIII imaging signature.Results: Analysis in both cohorts demonstrated that the obtained signature is highly accurate (89.92%), specific (92.35%), and sensitive (83.77%), with significantly distinctive ability (P = 4.0033 × 10-10, AUC = 0.8869). Findings indicated a highly infiltrative-migratory phenotype for EGFRvIII+ tumors, which displayed similar perfusion patterns throughout peritumoral edema. Contrarily, EGFRvIII- tumors displayed perfusion dynamics consistent with peritumorally confined vascularization, suggesting potential benefit from extensive peritumoral resection/radiation.Conclusions: This EGFRvIII signature is potentially suitable for clinical translation, since obtained from analysis of clinically acquired images. Use of within-patient heterogeneity measures, rather than population-based associations, renders φ-index potentially resistant to inter-scanner variations. Overall, our findings enable noninvasive evaluation of EGFRvIII for patient selection for targeted therapy, stratification into clinical trials, personalized treatment planning, and potentially treatment-response evaluation. Clin Cancer Res; 23(16); 4724-34. ©2017 AACR.
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Affiliation(s)
- Spyridon Bakas
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hamed Akbari
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jared Pisapia
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Maria Martinez-Lage
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin Rozycki
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Saima Rathore
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nadia Dahmane
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Donald M O'Rourke
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. .,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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24
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Bakas S, Binder ZA, Akbari H, Martinez-Lage M, Rozycki M, Morrissette JJ, Dahmane N, O’Rourke DM, Davatzikos C. NIMG-11. HIGHLY-EXPRESSED WILD-TYPE EGFR AND EGFRvIII MUTANT GLIOBLASTOMAS HAVE SIMILAR MRI SIGNATURE, CONSISTENT WITH DEEP PERITUMORAL INFILTRATION. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.523] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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25
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Binder Z, Bakas S, Wileyto EP, Akbari H, Rathore S, Rozycki M, Morrissette JJ, Martinez-Lage M, Dahmane N, Davatzikos C, O’Rourke D. MPTH-02. EXTRACELLULAR EGFR289 ACTIVATING MUTATIONS CONFER POORER SURVIVAL AND SUGGEST ENHANCED MOTILITY IN PRIMARY GBMs. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.441] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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26
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Martinez-Lage M, Thawani J, Zhu Y, Zhang B, Bailey R, Roccograndi L, O’Rourke DM, Resnick AC, Grady MS, Dahmane N. MNGO-08. TRANSCRIPTIONAL CHARACTERIZATION OF MENINGIOMA PROGRESSION. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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27
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Han H, Baubet V, Boucher K, Pignolo R, Kaplan F, Shore E, Storm P, Dahmane N, Resnick A. HG-59ACVR1-MUTANT DIFFUSE INTRINSIC PONTINE GLIOMAS (DIPGs) ACQUIRE ABERRANT ACTIVIN-MEDIATED BMP PATHWAY ACTIVATION. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now073.55] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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28
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Huang M, Liu T, Ma P, Mitteer RA, Zhang Z, Kim HJ, Yeo E, Zhang D, Cai P, Li C, Zhang L, Zhao B, Roccograndi L, O'Rourke DM, Dahmane N, Gong Y, Koumenis C, Fan Y. c-Met-mediated endothelial plasticity drives aberrant vascularization and chemoresistance in glioblastoma. J Clin Invest 2016; 126:1801-14. [PMID: 27043280 DOI: 10.1172/jci84876] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 02/18/2016] [Indexed: 12/15/2022] Open
Abstract
Aberrant vascularization is a hallmark of cancer progression and treatment resistance. Here, we have shown that endothelial cell (EC) plasticity drives aberrant vascularization and chemoresistance in glioblastoma multiforme (GBM). By utilizing human patient specimens, as well as allograft and genetic murine GBM models, we revealed that a robust endothelial plasticity in GBM allows acquisition of fibroblast transformation (also known as endothelial mesenchymal transition [Endo-MT]), which is characterized by EC expression of fibroblast markers, and determined that a prominent population of GBM-associated fibroblast-like cells have EC origin. Tumor ECs acquired the mesenchymal gene signature without the loss of EC functions, leading to enhanced cell proliferation and migration, as well as vessel permeability. Furthermore, we identified a c-Met/ETS-1/matrix metalloproteinase-14 (MMP-14) axis that controls VE-cadherin degradation, Endo-MT, and vascular abnormality. Pharmacological c-Met inhibition induced vessel normalization in patient tumor-derived ECs. Finally, EC-specific KO of Met inhibited vascular transformation, normalized blood vessels, and reduced intratumoral hypoxia, culminating in suppressed tumor growth and prolonged survival in GBM-bearing mice after temozolomide treatment. Together, these findings illustrate a mechanism that controls aberrant tumor vascularization and suggest that targeting Endo-MT may offer selective and efficient strategies for antivascular and vessel normalization therapies in GBM, and possibly other malignant tumors.
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Wang Z, Deng Z, Dahmane N, Tsai K, Wang P, Williams DR, Kossenkov AV, Showe LC, Zhang R, Huang Q, Conejo-Garcia JR, Lieberman PM. Telomeric repeat-containing RNA (TERRA) constitutes a nucleoprotein component of extracellular inflammatory exosomes. Proc Natl Acad Sci U S A 2015; 112:E6293-300. [PMID: 26578789 PMCID: PMC4655533 DOI: 10.1073/pnas.1505962112] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Telomeric repeat-containing RNA (TERRA) has been identified as a telomere-associated regulator of chromosome end protection. Here, we report that TERRA can also be found in extracellular fractions that stimulate innate immune signaling. We identified extracellular forms of TERRA in mouse tumor and embryonic brain tissue, as well as in human tissue culture cell lines using RNA in situ hybridization. RNA-seq analyses revealed TERRA to be among the most highly represented transcripts in extracellular fractions derived from both normal and cancer patient blood plasma. Cell-free TERRA (cfTERRA) could be isolated from the exosome fractions derived from human lymphoblastoid cell line (LCL) culture media. cfTERRA is a shorter form (∼200 nt) of cellular TERRA and copurifies with CD63- and CD83-positive exosome vesicles that could be visualized by cyro-electron microscopy. These fractions were also enriched for histone proteins that physically associate with TERRA in extracellular ChIP assays. Incubation of cfTERRA-containing exosomes with peripheral blood mononuclear cells stimulated transcription of several inflammatory cytokine genes, including TNFα, IL6, and C-X-C chemokine 10 (CXCL10) Exosomes engineered with elevated TERRA or liposomes with synthetic TERRA further stimulated inflammatory cytokines, suggesting that exosome-associated TERRA augments innate immune signaling. These findings imply a previously unidentified extrinsic function for TERRA and a mechanism of communication between telomeres and innate immune signals in tissue and tumor microenvironments.
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Affiliation(s)
- Zhuo Wang
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104; Cancer Biology Program, University of the Sciences in Philadelphia, Philadelphia, PA 19104
| | - Zhong Deng
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - Nadia Dahmane
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104
| | - Kevin Tsai
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - Pu Wang
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - Dewight R Williams
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104
| | - Andrew V Kossenkov
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - Louise C Showe
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - Rugang Zhang
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - Qihong Huang
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - José R Conejo-Garcia
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104
| | - Paul M Lieberman
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104;
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Roccograndi L, Bi Y, Davuluri R, Dahmane N, O'Rourke DM. Abstract 2247: SHP2 expression and function in different subtypes of glioblastoma. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-2247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
SHP2, a Src-homology 2 domain (SH2)-containing tyrosine phosphatase encoded by PTPN11, is a ubiquitously expressed cytoplasmic enzyme that regulates events downstream of several growth factor and cytokine receptors involved in survival, pro-migratory and differentiation signaling. In the normal developing nervous system, SHP2 is involved in neural stem cell self renewal. Dysregulation of SHP2 function has been implicated in tumorigenesis and characterized as an activated downstream regulator of oncogenes in gastric carcinoma, anaplastic large-cell lymphoma, breast cancer and glioblastoma. In the context of glioblastoma, we have shown that SHP2, and specifically its phosphatase activity, is directly involved in EGFRvIII-induced oncogenesis. Our present research aims at understanding the function of SHP2 within different glioma cell types as well as the four characterized subtypes of glioblastoma (GBM). Genomic analysis of SHP2 expression using the TCGA GBM cohort shows differential expression among the recently characterized subtypes of GBMs, with higher SHP2 mRNA expression in the classical subtype. Additionally, SHP2 is preferentially expressed in glioma stem cells versus differentiated cells isolated from the same patients. Furthermore, our current analysis shows that reduction of SHP2 expression in glioma stem cells affects the expression of genes linked to stemness. SHP2 PTPase function may therefore be a link between normal stem cell proliferation and gliomagenesis induced by EGFR/RTK activated signaling.
Citation Format: Laura Roccograndi, Yingtao Bi, Ramana Davuluri, Nadia Dahmane, Donald M. O'Rourke. SHP2 expression and function in different subtypes of glioblastoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2247. doi:10.1158/1538-7445.AM2015-2247
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Affiliation(s)
- Laura Roccograndi
- 1University of Pennsylvania Perelman School of Medicine, Department of Neurosurgery, Philadelphia, PA
| | - Yingtao Bi
- 2Northwestern University Feinberg School of Medicine, Department of Preventive Medicine - Division of Health and Biomedical Informatics, Chicago, IL
| | - Ramana Davuluri
- 2Northwestern University Feinberg School of Medicine, Department of Preventive Medicine - Division of Health and Biomedical Informatics, Chicago, IL
| | - Nadia Dahmane
- 1University of Pennsylvania Perelman School of Medicine, Department of Neurosurgery, Philadelphia, PA
| | - Donald M. O'Rourke
- 1University of Pennsylvania Perelman School of Medicine, Department of Neurosurgery, Philadelphia, PA
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Pisapia J, Macyszyn L, Akbari H, Da X, Attiah M, Bi Y, Pal S, Davaluri R, Roccograndi L, Dahmane N, Wolf R, O'Rourke DM, Davatzikos C. Abstract 1494: Non-invasive prediction of molecular subtype in glioblastoma using multi-parametric magnetic resonance imaging pattern analysis and machine learning. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-1494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Imaging studies better capture the spatial heterogeneity of tumors compared to histopathological analysis. Glioblastoma (GB), the most common primary malignant brain tumor, is genetically diverse and may be classified into four subtypes based on gene expression. In this study, we use novel image analysis methods and machine learning to examine the entirety of multi-parametric imaging data and develop an integrative image-based model to predict GB molecular subtype.
Methods: We performed a retrospective cohort study of patients with de novo GB at a single academic institution. Tissue samples underwent molecular subtyping using a novel RNA isoform-based classifier. Subtypes included classical, mesenchymal, proneural, and neural. Using initial magnetic resonance (MR) images at time of diagnosis, image pattern analysis techniques identified multiple imaging features from sequences that included T1, T2, T2-FLAIR, and derivatives of diffusion-weighted and perfusion imaging. A machine learning algorithm was then used to analyze multiple features simultaneously to determine which features were most predictive of subtype. Ten-fold cross validation was performed.
Results: Molecular subtype was determined for 99 tissue samples. The number of classical, mesenchymal, proneural, and neural subtypes was 29, 22, 20, and 28, respectively. After image feature extraction, a machine learning algorithm identified the following features as most predictive of molecular subtype: T2-FLAIR intensity of enhancing tumor, size of enhancing tumor, and peak height of perfusion signal in edema for the classical subtype, mean T1 intensity in enhancing tumor and T2-FLAIR intensity in edema for the mesenchymal subtype, T2 intensity in edema for the neural subtype, and T2-FLAIR intensity in enhancing tumor and mean T1 intensity in enhancing tumor for the proneural subtype. The balanced accuracy of our image-based model in predicting molecular subtype was 0.71 for proneural, 0.79 for neural, 0.77 for mesenchymal, and 0.68 for classical. Area under the curve was 0.87 for proneural, 0.92 for neural, 0.89 for mesenchymal, and 0.75 for classical subtype.
Conclusions: We non-invasively predicted GB molecular subtype with high accuracy using pre-operative MR imaging alone. Imaging features predictive of subtype corresponded with underlying tumor physiology and gene expression. Only through advanced quantitative image analysis are predictive patterns revealed, which would otherwise not be appreciated by examination of individual features. Our image-based model uses standard imaging sequences in clinical practice and is therefore easily translatable to the clinic. Such informatics-derived imaging biomarkers of molecular composition may be applied in future studies to evaluate treatment response over time and in response to targeted agents.
Citation Format: Jared Pisapia, Lukasz Macyszyn, Hamed Akbari, Xiao Da, Mark Attiah, Yingtao Bi, Sharmistha Pal, Ramana Davaluri, Laura Roccograndi, Nadia Dahmane, Ronald Wolf, Donald M. O'Rourke, Christos Davatzikos. Non-invasive prediction of molecular subtype in glioblastoma using multi-parametric magnetic resonance imaging pattern analysis and machine learning. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1494. doi:10.1158/1538-7445.AM2015-1494
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Affiliation(s)
| | | | | | - Xiao Da
- 1University of Pennsylvania, Philadelphia, PA
| | - Mark Attiah
- 1University of Pennsylvania, Philadelphia, PA
| | | | | | | | | | | | - Ronald Wolf
- 1University of Pennsylvania, Philadelphia, PA
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Pisapia JM, Macyszyn L, Akbari H, Da X, Pigrish V, Attiah MA, Bi Y, Pal S, Davaluri R, Roccograndi L, Dahmane N, Biros G, Wolf RL, Bilello M, O'Rourke DM, Davatzikos C. 135 Imaging Patterns Predict Patient Survival and Molecular Subtype in Glioblastoma Using Machine Learning Techniques. Neurosurgery 2015. [DOI: 10.1227/01.neu.0000467097.06935.d9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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33
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Macyszyn L, Akbari H, Pisapia JM, Da X, Attiah M, Pigrish V, Bi Y, Pal S, Davuluri RV, Roccograndi L, Dahmane N, Martinez-Lage M, Biros G, Wolf RL, Bilello M, O'Rourke DM, Davatzikos C. Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques. Neuro Oncol 2015; 18:417-25. [PMID: 26188015 DOI: 10.1093/neuonc/nov127] [Citation(s) in RCA: 183] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Accepted: 06/12/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND MRI characteristics of brain gliomas have been used to predict clinical outcome and molecular tumor characteristics. However, previously reported imaging biomarkers have not been sufficiently accurate or reproducible to enter routine clinical practice and often rely on relatively simple MRI measures. The current study leverages advanced image analysis and machine learning algorithms to identify complex and reproducible imaging patterns predictive of overall survival and molecular subtype in glioblastoma (GB). METHODS One hundred five patients with GB were first used to extract approximately 60 diverse features from preoperative multiparametric MRIs. These imaging features were used by a machine learning algorithm to derive imaging predictors of patient survival and molecular subtype. Cross-validation ensured generalizability of these predictors to new patients. Subsequently, the predictors were evaluated in a prospective cohort of 29 new patients. RESULTS Survival curves yielded a hazard ratio of 10.64 for predicted long versus short survivors. The overall, 3-way (long/medium/short survival) accuracy in the prospective cohort approached 80%. Classification of patients into the 4 molecular subtypes of GB achieved 76% accuracy. CONCLUSIONS By employing machine learning techniques, we were able to demonstrate that imaging patterns are highly predictive of patient survival. Additionally, we found that GB subtypes have distinctive imaging phenotypes. These results reveal that when imaging markers related to infiltration, cell density, microvascularity, and blood-brain barrier compromise are integrated via advanced pattern analysis methods, they form very accurate predictive biomarkers. These predictive markers used solely preoperative images, hence they can significantly augment diagnosis and treatment of GB patients.
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Affiliation(s)
- Luke Macyszyn
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Hamed Akbari
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Jared M Pisapia
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Xiao Da
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Mark Attiah
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Vadim Pigrish
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Yingtao Bi
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Sharmistha Pal
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Ramana V Davuluri
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Laura Roccograndi
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Nadia Dahmane
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Maria Martinez-Lage
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - George Biros
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Ronald L Wolf
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Michel Bilello
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Donald M O'Rourke
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
| | - Christos Davatzikos
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.)
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Berkouk K, Bensmina M, Aboura R, Maoudj A, Kedji L, Ladjouze A, Bouhafs N, Dahmane N, Melzi S, Anane T, Laraba A. P-053 – Quelles normes utiliser pour le bilan lipidique chez l'enfant? Arch Pediatr 2015. [DOI: 10.1016/s0929-693x(15)30238-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Berkouk K, Benzaid A, Bouhafs N, Maoudj A, Kedjl L, Bensmina M, Ladjouze A, Aboura R, Melzi S, Dahmane N, Anane T, Laraba A. P-316 – Syndrome d'Escobar: Une pathologie méconnue de diagnostic facile. Arch Pediatr 2015. [DOI: 10.1016/s0929-693x(15)30496-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Berkouk K, Bensmina M, Kedji L, Maoudj A, Ladjouze A, Aboura R, Bouhafs N, Melzi S, Dahmane N, Anane T, Laraba A. P-203 – Existe-t-il des lésions précoces d'athérosclérose en cas d'HF hétérozygotes? Arch Pediatr 2015. [DOI: 10.1016/s0929-693x(15)30383-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Weaver KL, Alves-Guerra MC, Jin K, Wang Z, Han X, Ranganathan P, Zhu X, DaSilva T, Liu W, Ratti F, Demarest RM, Tzimas C, Rice M, Vasquez-Del Carpio R, Dahmane N, Robbins DJ, Capobianco AJ. NACK is an integral component of the Notch transcriptional activation complex and is critical for development and tumorigenesis. Cancer Res 2014; 74:4741-51. [PMID: 25038227 DOI: 10.1158/0008-5472.can-14-1547] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The Notch signaling pathway governs many distinct cellular processes by regulating transcriptional programs. The transcriptional response initiated by Notch is highly cell context dependent, indicating that multiple factors influence Notch target gene selection and activity. However, the mechanism by which Notch drives target gene transcription is not well understood. Herein, we identify and characterize a novel Notch-interacting protein, Notch activation complex kinase (NACK), which acts as a Notch transcriptional coactivator. We show that NACK associates with the Notch transcriptional activation complex on DNA, mediates Notch transcriptional activity, and is required for Notch-mediated tumorigenesis. We demonstrate that Notch1 and NACK are coexpressed during mouse development and that homozygous loss of NACK is embryonic lethal. Finally, we show that NACK is also a Notch target gene, establishing a feed-forward loop. Thus, our data indicate that NACK is a key component of the Notch transcriptional complex and is an essential regulator of Notch-mediated tumorigenesis and development.
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Affiliation(s)
- Kelly L Weaver
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Marie-Clotilde Alves-Guerra
- Inserm U1016, Institut Cochin, Paris, France. CNRS, UMR 8104, Paris, France. Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Ke Jin
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Zhiqiang Wang
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Xiaoqing Han
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Prathibha Ranganathan
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Xiaoxia Zhu
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Thiago DaSilva
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Wei Liu
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida. Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University, Chonqing, China
| | - Francesca Ratti
- Ecole Normale Supérieure de Lyon, CNRS UMR 5239, Equipe de Différenciation Neuromusculaire, Lyon, France
| | - Renee M Demarest
- Rowan University School of Osteopathic Medicine, Department of Molecular Biology, Stratford, NJ
| | - Cristos Tzimas
- Molecular Biology Division, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Meghan Rice
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | | | - Nadia Dahmane
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David J Robbins
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida
| | - Anthony J Capobianco
- Molecular Oncology Program, Division of Surgical Oncology, Dewitt Daughtry Family Department of Surgery, and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida.
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Li B, Fei DL, Flaveny CA, Dahmane N, Baubet V, Wang Z, Bai F, Pei XH, Rodriguez-Blanco J, Hang B, Orton D, Han L, Wang B, Capobianco AJ, Lee E, Robbins DJ. Pyrvinium attenuates Hedgehog signaling downstream of smoothened. Cancer Res 2014; 74:4811-21. [PMID: 24994715 DOI: 10.1158/0008-5472.can-14-0317] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
The Hedgehog (HH) signaling pathway represents an important class of emerging developmental signaling pathways that play critical roles in the genesis of a large number of human cancers. The pharmaceutical industry is currently focused on developing small molecules targeting Smoothened (Smo), a key signaling effector of the HH pathway that regulates the levels and activity of the Gli family of transcription factors. Although one of these compounds, vismodegib, is now FDA-approved for patients with advanced basal cell carcinoma, acquired mutations in Smo can result in rapid relapse. Furthermore, many cancers also exhibit a Smo-independent activation of Gli proteins, an observation that may underlie the limited efficacy of Smo inhibitors in clinical trials against other types of cancer. Thus, there remains a critical need for HH inhibitors with different mechanisms of action, particularly those that act downstream of Smo. Recently, we identified the FDA-approved anti-pinworm compound pyrvinium as a novel, potent (IC50, 10 nmol/L) casein kinase-1α (CK1α) agonist. We show here that pyrvinium is a potent inhibitor of HH signaling, which acts by reducing the stability of the Gli family of transcription factors. Consistent with CK1α agonists acting on these most distal components of the HH signaling pathway, pyrvinium is able to inhibit the activity of a clinically relevant, vismodegib -resistant Smo mutant, as well as the Gli activity resulting from loss of the negative regulator suppressor of fused. We go on to demonstrate the utility of this small molecule in vivo, against the HH-dependent cancer medulloblastoma, attenuating its growth and reducing the expression of HH biomarkers.
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Affiliation(s)
- Bin Li
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida
| | - Dennis Liang Fei
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida
| | - Colin A Flaveny
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida
| | - Nadia Dahmane
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Valérie Baubet
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zhiqiang Wang
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida
| | - Feng Bai
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida
| | - Xin-Hai Pei
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida. Sylvester Cancer Center, University of Miami, Miami, Florida
| | | | - Brian Hang
- Department of Cell and Developmental Biology and Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | | | - Lu Han
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida
| | - Baolin Wang
- Weill Medical College, Cornell University, New York, New York
| | - Anthony J Capobianco
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida. Sylvester Cancer Center, University of Miami, Miami, Florida. Department of Biochemistry and Molecular Biology, University of Miami, Miami, Florida
| | - Ethan Lee
- Department of Cell and Developmental Biology and Vanderbilt Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - David J Robbins
- Molecular Oncology Program, Department of Surgery, University of Miami, Miami, Florida. Sylvester Cancer Center, University of Miami, Miami, Florida. Department of Biochemistry and Molecular Biology, University of Miami, Miami, Florida.
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Kedji L, Maoudj A, Berkouk K, Bensmina M, Ladjouze A, Aboura R, Bouhafs N, Dahmane N, Melzi S, Anane T, Laraba A. SFP P-034 - Anémies hémolytiques auto-immunes : À propos de 26 observations. Arch Pediatr 2014. [DOI: 10.1016/s0929-693x(14)72004-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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40
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Berkouk K, Bensmina M, Aboura R, Kedji L, Maoudj A, Ladjouze A, Bouhafs N, Melzi S, Dahmane N, Anane T, Laraba A. SFP P-001 - Facteurs de risque d’athérosclérose chez l’enfant. Arch Pediatr 2014. [DOI: 10.1016/s0929-693x(14)71972-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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41
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Berkouk K, Bensmina M, Ladjouze A, Maoudj A, Aboura R, Kedji L, Melzi S, Bouhafs N, Dahmane N, Anane T, Laraba A. SFP P-013 - Education thérapeutique de l’enfant diabétique : Savoir et savoir faire. Arch Pediatr 2014. [DOI: 10.1016/s0929-693x(14)71983-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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42
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Krmar RT, Sandberg J, Ghahramani L, Sikorska W, Dahmane N, Svensson A, Tydén G. Autotransplantation for renovascular hypertension in children with solitary functioning kidney. J Hum Hypertens 2012; 27:340-2. [PMID: 23034578 DOI: 10.1038/jhh.2012.40] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Baubet V, Xiang C, Molczan A, Roccograndi L, Melamed S, Dahmane N. Rp58 is essential for the growth and patterning of the cerebellum and for glutamatergic and GABAergic neuron development. Development 2012; 139:1903-9. [PMID: 22513377 DOI: 10.1242/dev.075606] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2023]
Abstract
Cerebellum development depends on the correct differentiation of progenitors into neurons, a process controlled by a transcriptional program that remains poorly understood. Here we show that neural-specific deletion of the BTB/POZ zinc-finger transcription factor-encoding gene Rp58 (Znf238, Zfp238) causes severe cerebellar hypoplasia and developmental failure of Purkinje neurons, Bergmann glia and granule neurons. Deletion of Rp58 in mouse embryonic Atoh1(+) progenitors leads to strong defects in growth and foliation owing to its crucial role in the differentiation of granule neurons. Analysis of the Rp58 mutant at E14.5 demonstrates that Rp58 is required for the development of both glutamatergic and GABAergic neurons. Rp58 mutants show decreased proliferation of glutamatergic progenitors at E14.5. In addition, Rp58 ablation results in a reduced number of GABAergic Pax2(+) neurons at E16.5 together with defects in the transcriptional program of ventricular zone progenitors. Our results indicate that Rp58 is essential for the growth and organization of the cerebellum and regulates the development of both GABAergic and glutamatergic neurons.
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Affiliation(s)
- Valérie Baubet
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
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44
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Zabierowski SE, Baubet V, Himes B, Li L, Fukunaga-Kalabis M, Patel S, McDaid R, Guerra M, Gimotty P, Dahmane N, Dahamne N, Herlyn M. Direct reprogramming of melanocytes to neural crest stem-like cells by one defined factor. Stem Cells 2012; 29:1752-62. [PMID: 21948558 DOI: 10.1002/stem.740] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Mouse and human somatic cells can either be reprogrammed to a pluripotent state or converted to another lineage with a combination of transcription factors suggesting that lineage commitment is a reversible process. Here we show that only one factor, the active intracellular form of Notch1, is sufficient to convert mature pigmented epidermal-derived melanocytes into functional multipotent neural crest (NC) stem-like cells. These induced NC stem cells (iNCSCs) proliferate as spheres under stem cell media conditions, re-express NC-related genes, and differentiate into multiple NC-derived mesenchymal and neuronal lineages. Moreover, iNCSCs are highly migratory and functional in vivo. These results demonstrate that mature melanocytes can be reprogrammed toward their primitive NC cell precursors through the activation of a single stem cell-related pathway. Reprogramming of melanocytes to iNCSCs may provide an alternate source of NCSCs for neuroregenerative applications.
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Affiliation(s)
- Susan E Zabierowski
- Cellular and Molecular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania, USA
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Deng Z, Wang Z, Xiang C, Molczan A, Baubet V, Conejo-Garcia J, Xu X, Lieberman PM, Dahmane N. Formation of telomeric repeat-containing RNA (TERRA) foci in highly proliferating mouse cerebellar neuronal progenitors and medulloblastoma. J Cell Sci 2012; 125:4383-94. [PMID: 22641694 DOI: 10.1242/jcs.108118] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Telomeres play crucial roles in the maintenance of genome integrity and control of cellular senescence. Most eukaryotic telomeres can be transcribed to generate a telomeric repeat-containing RNA (TERRA) that persists as a heterogeneous nuclear RNA and can be developmentally regulated. However, the precise function and regulation of TERRA in normal and cancer cell development remains poorly understood. Here, we show that TERRA accumulates in highly proliferating normal and cancer cells, and forms large nuclear foci, which are distinct from previously characterized markers of DNA damage or replication stress. Using a mouse model for medulloblastoma driven by chronic Sonic hedgehog (SHH) signaling, TERRA RNA was detected in tumor, but not adjacent normal cells using both RNA fluorescence in situ hybridization (FISH) and northern blotting. RNA FISH revealed the formation of TERRA foci (TERFs) in the nuclear regions of rapidly proliferating tumor cells. In the normal developing cerebellum, TERRA aggregates could also be detected in highly proliferating zones of progenitor neurons. SHH could enhance TERRA expression in purified granule progenitor cells in vitro, suggesting that proliferation signals contribute to TERRA expression in responsive tissue. TERRA foci did not colocalize with γH2AX foci, promyelocytic leukemia (PML) or Cajal bodies in mouse tumor tissue. We also provide evidence that TERRA is elevated in a variety of human cancers. These findings suggest that elevated TERRA levels reflect a novel early form of telomere regulation during replication stress and cancer cell evolution, and the TERRA RNA aggregates may form a novel nuclear body in highly proliferating mammalian cells.
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Affiliation(s)
- Zhong Deng
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104, USA
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46
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Xiang C, Baubet V, Pal S, Holderbaum L, Tatard V, Jiang P, Davuluri RV, Dahmane N. RP58/ZNF238 directly modulates proneurogenic gene levels and is required for neuronal differentiation and brain expansion. Cell Death Differ 2012; 19:692-702. [PMID: 22095278 PMCID: PMC3307985 DOI: 10.1038/cdd.2011.144] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2011] [Revised: 09/13/2011] [Accepted: 09/16/2011] [Indexed: 01/02/2023] Open
Abstract
Although neurogenic pathways have been described in the developing neocortex, less is known about mechanisms ensuring correct neuronal differentiation thus also preventing tumor growth. We have shown that RP58 (aka zfp238 or znf238) is highly expressed in differentiating neurons, that its expression is lost or diminished in brain tumors, and that its reintroduction blocks their proliferation. Mice with loss of RP58 die at birth with neocortical defects. Using a novel conditional RP58 allele here we show that its CNS-specific loss yields a novel postnatal phenotype: microencephaly, agenesis of the corpus callosum and cerebellar hypoplasia that resembles the chr1qter deletion microcephaly syndrome in human. RP58 mutant brains maintain precursor pools but have reduced neuronal and increased glial differentiation. Well-timed downregulation of pax6, ngn2 and neuroD1 depends on RP58 mediated transcriptional repression, ngn2 and neuroD1 being direct targets. Thus, RP58 may act to favor neuronal differentiation and brain growth by coherently repressing multiple proneurogenic genes in a timely manner.
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Affiliation(s)
- C Xiang
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - V Baubet
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - S Pal
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - L Holderbaum
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - V Tatard
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - P Jiang
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - R V Davuluri
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
| | - N Dahmane
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA
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47
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Winkler JD, Isaacs AK, Xiang C, Baubet V, Dahmane N. Design, synthesis, and biological evaluation of estrone-derived hedgehog signaling inhibitors. Tetrahedron 2011; 67:10261-10266. [PMID: 22199406 PMCID: PMC3244726 DOI: 10.1016/j.tet.2011.10.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The design, synthesis and biological evaluation of new analogs of the naturally occurring compound cyclopamine, a Hedgehog signaling inhibitor, are described. Stucture-activity relationship studies lead to an evolving model for the pharmacophore of this medically promising compound class of anti-cancer chemotherapeutic agents.
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Affiliation(s)
- Jeffrey D Winkler
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA
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48
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Isaacs AK, Xiang C, Baubet V, Dahmane N, Winkler JD. Studies directed toward the elucidation of the pharmacophore of steroid-based Sonic Hedgehog signaling inhibitors. Org Lett 2011; 13:5140-3. [PMID: 21905689 DOI: 10.1021/ol202020c] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Previous work from our laboratory has established that the readily available steroid-based analog 2 of cyclopamine 1 is, like 1, a highly potent inhibitor of Hedgehog signaling. The first structure-activity relationship studies on 2, i.e., the synthesis and biological evaluation of both the C-17 epi analog 4 and the C-3 deoxy analog 11, both of which are more potent than cyclopamine 1, are described. The implications of these results for the emerging pharmacophore of these Sonic Hedgehog signaling inhibitors are discussed.
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Affiliation(s)
- André K Isaacs
- Department of Chemistry, The University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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49
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Zhang Z, Baubet V, Ventocilla C, Xiang C, Dahmane N, Winkler JD. Stereoselective synthesis of F-ring saturated estrone-derived inhibitors of Hedgehog signaling based on cyclopamine. Org Lett 2011; 13:4786-9. [PMID: 21842835 DOI: 10.1021/ol2017966] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Previous work in this laboratory established that the readily available F-ring aromatic analog of cyclopamine is a highly potent inhibitor of Hedgehog signaling. The synthesis and biological evaluation of two F-ring saturated analogs that are more potent than the F-ring aromatic structure are reported.
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Affiliation(s)
- Zhihui Zhang
- Department of Chemistry, The University of Pennsylvania , Philadelphia, Pennsylvania 19104, USA
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50
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Pal S, Gupta R, Kim H, Wickramasinghe P, Baubet V, Showe LC, Dahmane N, Davuluri RV. Alternative transcription exceeds alternative splicing in generating the transcriptome diversity of cerebellar development. Genome Res 2011; 21:1260-72. [PMID: 21712398 DOI: 10.1101/gr.120535.111] [Citation(s) in RCA: 137] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Despite our growing knowledge that many mammalian genes generate multiple transcript variants that may encode functionally distinct protein isoforms, the transcriptomes of various tissues and their developmental stages are poorly defined. Identifying the transcriptome and its regulation in a cell/tissue is the key to deciphering the cell/tissue-specific functions of a gene. We built a genome-wide inventory of noncoding and protein-coding transcripts (transcriptomes), their promoters (promoteromes) and histone modification states (epigenomes) for developing, and adult cerebella using integrative massive-parallel sequencing and bioinformatics approach. The data consists of 61,525 (12,796 novel) distinct mRNAs transcribed by 29,589 (4792 novel) promoters corresponding to 15,669 protein-coding and 7624 noncoding genes. Importantly, our results show that the transcript variants from a gene are predominantly generated using alternative transcriptional rather than splicing mechanisms, highlighting alternative promoters and transcriptional terminations as major sources of transcriptome diversity. Moreover, H3K4me3, and not H3K27me3, defined the use of alternative promoters, and we identified a combinatorial role of H3K4me3 and H3K27me3 in regulating the expression of transcripts, including transcript variants of a gene during development. We observed a strong bias of both H3K4me3 and H3K27me3 for CpG-rich promoters and an exponential relationship between their enrichment and corresponding transcript expression. Furthermore, the majority of genes associated with neurological diseases expressed multiple transcripts through alternative promoters, and we demonstrated aberrant use of alternative promoters in medulloblastoma, cancer arising in the cerebellum. The transcriptomes of developing and adult cerebella presented in this study emphasize the importance of analyzing gene regulation and function at the isoform level.
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Affiliation(s)
- Sharmistha Pal
- Center for Systems and Computational Biology, The Wistar Institute, Philadelphia, Pennsylvania 19019, USA
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