37 results match your criteria: "MacFeeters Hamilton Centre for Neuro-Oncology Research[Affiliation]"

A broad range of brain pathologies critically relies on the vasculature, and cerebrovascular disease is a leading cause of death worldwide. However, the cellular and molecular architecture of the human brain vasculature remains incompletely understood. Here we performed single-cell RNA sequencing analysis of 606,380 freshly isolated endothelial cells, perivascular cells and other tissue-derived cells from 117 samples, from 68 human fetuses and adult patients to construct a molecular atlas of the developing fetal, adult control and diseased human brain vasculature.

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Differences in methylation profiles between long-term survivors and short-term survivors of IDH-wild-type glioblastoma.

Neurooncol Adv

January 2024

Department of Medicine, Divisions of Neurology and Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada.

Background: Patients with glioblastoma (GBM) have a median overall survival (OS) of approximately 16 months. However, approximately 5% of patients survive >5 years. This study examines the differences in methylation profiles between long-term survivors (>5 years, LTS) and short-term survivors (<1 year, STS) with isocitrate dehydrogenase (IDH)-wild-type GBMs.

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Malignant peripheral nerve sheath tumor (MPNST) is a highly aggressive sarcoma, and a lethal neurofibromatosis type 1-related malignancy, with little progress made on treatment strategies. Here, we apply a multiplatform integrated molecular analysis on 108 tumors spanning the spectrum of peripheral nerve sheath tumors to identify candidate drivers of MPNST that can serve as therapeutic targets. Unsupervised analyses of methylome and transcriptome profiles identify two distinct subgroups of MPNSTs with unique targetable oncogenic programs.

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Background: CNS germ cell tumors (GCTs) predominantly develop in pediatric and young adult patients with variable responses to surgery, radiation, and chemotherapy. This study aimed to examine the complex and largely unknown pathogenesis of CNS GCTs.

Methods: We used a combined transcriptomic and methylomic approach in 84 cases and conducted an integrative analysis of the normal cells undergoing embryogenesis and testicular GCTs.

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Paediatric atypical choroid plexus papilloma: is adjuvant therapy necessary?

J Neurooncol

October 2021

Division of Paediatric Hematology/Oncology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

Article Synopsis
  • Choroid Plexus Tumours (CPTs) make up a small percentage (1-4%) of childhood brain tumours, with atypical choroid plexus papillomas (aCPPs) being a specific subtype that lacks a clear management consensus.
  • A study conducted at the Hospital for Sick Children analyzed patient records from 2000-2018, focusing on those with aCPP, using various methods including methylation profiling and radiological assessments.
  • Results showed that surgical resection is effective, as all aCPP patients survived without needing adjuvant therapy, highlighting the need for more research to better understand aCPP biology and improve treatment strategies.
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Background: The therapeutic challenge of glioblastoma (GBM) has catalyzed the development of clinical trials to evaluate novel interventions. With increased understanding of GBM biology and technological advances, the neurosurgeon's role in neuro-oncology has evolved.

Objective: To evaluate the current landscape of procedure-based clinical trials for GBM to characterize this evolution, gain insight into past failures, and accordingly outline implications for future research and practice that may inform future studies.

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TNFα secreted by glioma associated macrophages promotes endothelial activation and resistance against anti-angiogenic therapy.

Acta Neuropathol Commun

April 2021

MacFeeters Hamilton Centre for Neuro-Oncology Research, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada.

Article Synopsis
  • Glioblastoma (GBM) is characterized by excessive blood vessel formation, driven by glioma-associated macrophages (GAMs) that are crucial for this process and respond to anti-angiogenic therapies (AATx).
  • GBM cells produce IL-8 and CCL2, which activate GAMs to release TNFα, leading to the activation of endothelial cells (ECs) and promoting tumor vascularization.
  • High TNFα levels are linked to poor responses to Bevacizumab treatment in GBM patients, suggesting that targeting TNFα could improve treatment efficacy and overcome resistance to AATx.
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Background: Recent international sequencing efforts have allowed for the molecular taxonomy of lower-grade gliomas (LGG). We sought to analyze The Cancer Genome Atlas (TCGA, 2015) gene expression datasets on molecularly defined oligodendrogliomas (IDH-mutated and 1p/19q-codeleted) patients treated with adjuvant radiation or those observed to discover prognostic markers and pathways.

Methods: mRNA expression and clinical information of patients with oligodendroglioma were taken from the TCGA "Brain Lower Grade Glioma" provisional dataset.

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Glioblastomas are the most common form of malignant primary brain tumor and an important cause of morbidity and mortality. In recent years there have been important advances in understanding the molecular pathogenesis and biology of these tumors, but this has not translated into significantly improved outcomes for patients. In this consensus review from the Society for Neuro-Oncology (SNO) and the European Association of Neuro-Oncology (EANO), the current management of isocitrate dehydrogenase wildtype (IDHwt) glioblastomas will be discussed.

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Article Synopsis
  • Comprehensive analysis of pediatric low-grade gliomas (PLGGs) identified five distinct subgroups based on factors like tumor location and lymphocyte infiltration.
  • Some subgroups showed associations with worse progression-free survival, particularly those with high lymphocyte presence.
  • Despite the low confidence of current methylation classifiers in many cases, combining histopathological and molecular data led to better risk stratification of certain tumor types.
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Glioblastoma multiforme (GBM) contains a subpopulation of cells, GBM stem cells (GSCs), that maintain the bulk tumor and represent a key therapeutic target. Norrin is a Wnt ligand that binds Frizzled class receptor 4 (FZD4) to activate canonical Wnt signaling. Although Norrin, encoded by NDP, has a well-described role in vascular development, its function in human tumorigenesis is largely unexplored.

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Capicua (CIC) is a transcriptional repressor that counteracts activation of genes in response to receptor tyrosine kinase (RTK)/Ras/ERK signaling. Following activation of RTK, ERK enters the nucleus and serine-phosphorylates CIC, releasing it from its targets to permit gene expression. We recently showed that ERK triggers ubiquitin-mediated degradation of CIC in glioblastoma (GBM).

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The transmembrane protein ODZ1 has been associated with the invasive capacity of glioblastoma (GBM) cells through upregulation of RhoA/ROCK signaling, but the mechanisms triggering the ODZ1 pathway remain elusive. In addition, it is widely accepted that hypoxia is one of the main biological hallmarks of the GBM microenvironment and it is associated with treatment resistance and poor prognosis. Here we show that hypoxic tumor regions express higher levels of ODZ1 and that hypoxia induces ODZ1 expression in GBM cells by regulating the methylation status of the ODZ1 promoter.

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Three-dimensional modeling of human neurodegeneration: brain organoids coming of age.

Mol Psychiatry

February 2020

Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada.

The prevalence of dementia and other neurodegenerative diseases is rapidly increasing in aging nations. These relentless and progressive diseases remain largely without disease-modifying treatments despite decades of research and investments. It is becoming clear that traditional two-dimensional culture and animal model systems, while providing valuable insights on the major pathophysiological pathways associated with these diseases, have not translated well to patients' bedside.

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Defining Protein Pattern Differences Among Molecular Subtypes of Diffuse Gliomas Using Mass Spectrometry.

Mol Cell Proteomics

October 2019

Princess Margaret Cancer Centre, MacFeeters Hamilton Centre for Neuro-Oncology Research, College Street 101, Toronto, Ontario, M5G 1L7, Canada; Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, ON, Toronto, Ontario, M5G 2C4, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, M5G 1L7, Canada. Electronic address:

Molecular characterization of diffuse gliomas has thus far largely focused on genomic and transcriptomic interrogations. Here, we utilized mass spectrometry and overlay protein-level information onto genomically defined cohorts of diffuse gliomas to improve our downstream molecular understanding of these lethal malignancies. Bulk and macrodissected tissues were utilized to quantitate 5,496 unique proteins over three glioma cohorts subclassified largely based on their IDH and 1p19q codeletion status (IDH wild type (IDHwt), = 7; IDH mutated (IDHmt), 1p19q non-codeleted, = 7; IDH mutated, 1p19q-codeleted, = 10).

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Physician perspectives on integration of artificial intelligence into diagnostic pathology.

NPJ Digit Med

April 2019

1Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario M5S 1A8 Canada.

Advancements in computer vision and artificial intelligence (AI) carry the potential to make significant contributions to health care, particularly in diagnostic specialties such as radiology and pathology. The impact of these technologies on physician stakeholders is the subject of significant speculation. There is however a dearth of information regarding the opinions, enthusiasm, and concerns of the pathology community at large.

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Background: Variability in standard-of-care classifications precludes accurate predictions of early tumor recurrence for individual patients with meningioma, limiting the appropriate selection of patients who would benefit from adjuvant radiotherapy to delay recurrence. We aimed to develop an individualized prediction model of early recurrence risk combining clinical and molecular factors in meningioma.

Methods: DNA methylation profiles of clinically annotated tumor samples across multiple institutions were used to develop a methylome model of 5-year recurrence-free survival (RFS).

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Background: Meningiomas represent one of the most common brain tumors and exhibit a clinically heterogeneous behavior, sometimes difficult to predict with classic histopathologic features. While emerging molecular profiling efforts have linked specific genomic drivers to distinct clinical patterns, the proteomic landscape of meningiomas remains largely unexplored.

Methods: We utilize liquid chromatography tandem mass spectrometry with an Orbitrap mass analyzer to quantify global protein abundances of a clinically well-annotated formalin-fixed paraffin embedded (FFPE) cohort (n = 61) of meningiomas spanning all World Health Organization (WHO) grades and various degrees of clinical aggressiveness.

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CIC protein instability contributes to tumorigenesis in glioblastoma.

Nat Commun

February 2019

MacFeeters Hamilton Centre for Neuro-Oncology Research, Princess Margaret Cancer Centre, Toronto, ON, M5G 2C1, Canada.

Capicua (CIC) is a transcriptional repressor that counteracts activation of genes downstream of receptor tyrosine kinase (RTK)/Ras/ERK signaling. It is well-established that tumorigenesis, especially in glioblastoma (GBM), is attributed to hyperactive RTK/Ras/ERK signaling. While CIC is mutated in other tumors, here we show that CIC has a tumor suppressive function in GBM through an alternative mechanism.

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Integrating Genomics Into Neuro-Oncology Clinical Trials and Practice.

Am Soc Clin Oncol Educ Book

May 2018

From the Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN; Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; MacFeeters Hamilton Centre for Neuro-Oncology Research, University of Toronto, Toronto, ON, Canada; Ludwig Center at Harvard, Department of Pathology, Boston Children's Hospital, and Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.

Important advances in our understanding of the molecular biology of brain tumors have resulted in a rapid evolution in the taxonomy of central nervous system (CNS) tumors, which culminated in the revised 2016 World Health Organization classification of CNS tumors that incorporates an integrated molecular/histologic diagnostic approach. Our expanding understanding of brain tumor genomics and molecular evolution during the disease course has started to impact clinical management. Furthermore, incorporation of genomic information in ongoing and planned neuro-oncology clinical trials is expected to lead to improved outcomes and result in personalized treatment options for patients with CNS malignancies.

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Glioblastoma (GBM) is the most common primary malignant brain tumor, with a universally poor prognosis. The emergence of molecular biomarkers has had a significant impact on histological typing and diagnosis, as well as predicting patient survival and response to treatment. The methylation status of the O6-methylguanine-DNA methyl-transferase (MGMT) gene promoter is one such molecular biomarker.

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World Health Organization 2016 Classification of Central Nervous System Tumors.

Neurol Clin

August 2018

MacFeeters Hamilton Centre for Neuro-Oncology Research, Princess Margaret Cancer Centre, 101 College Street, 14-601, Toronto, Ontario M5G 1L7, Canada. Electronic address:

The recent update of the World Health Organization (WHO) classification of tumors of the central nervous system represents a paradigm shift. Previous iterations of the classification relied on morphologic features for classification. In the 2016 update, the definitions of specific neoplastic entities tumors now include precise molecularly defined entities.

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