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Lundberg A, Zhang M, Aggarwal R, Li H, Zhang L, Foye A, Sjöström M, Chou J, Chang K, Moreno-Rodriguez T, Shrestha R, Baskin A, Zhu X, Weinstein AS, Younger N, Alumkal JJ, Beer TM, Chi KN, Evans CP, Gleave M, Lara PN, Reiter RE, Rettig MB, Witte ON, Wyatt AW, Feng FY, Small EJ, Quigley DA. The Genomic and Epigenomic Landscape of Double-Negative Metastatic Prostate Cancer. Cancer Res 2023; 83:2763-2774. [PMID: 37289025 PMCID: PMC10425725 DOI: 10.1158/0008-5472.can-23-0593] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/20/2023] [Accepted: 06/02/2023] [Indexed: 06/09/2023]
Abstract
Systemic targeted therapy in prostate cancer is primarily focused on ablating androgen signaling. Androgen deprivation therapy and second-generation androgen receptor (AR)-targeted therapy selectively favor the development of treatment-resistant subtypes of metastatic castration-resistant prostate cancer (mCRPC), defined by AR and neuroendocrine (NE) markers. Molecular drivers of double-negative (AR-/NE-) mCRPC are poorly defined. In this study, we comprehensively characterized treatment-emergent mCRPC by integrating matched RNA sequencing, whole-genome sequencing, and whole-genome bisulfite sequencing from 210 tumors. AR-/NE- tumors were clinically and molecularly distinct from other mCRPC subtypes, with the shortest survival, amplification of the chromatin remodeler CHD7, and PTEN loss. Methylation changes in CHD7 candidate enhancers were linked to elevated CHD7 expression in AR-/NE+ tumors. Genome-wide methylation analysis nominated Krüppel-like factor 5 (KLF5) as a driver of the AR-/NE- phenotype, and KLF5 activity was linked to RB1 loss. These observations reveal the aggressiveness of AR-/NE- mCRPC and could facilitate the identification of therapeutic targets in this highly aggressive disease. SIGNIFICANCE Comprehensive characterization of the five subtypes of metastatic castration-resistant prostate cancer identified transcription factors that drive each subtype and showed that the double-negative subtype has the worst prognosis.
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Affiliation(s)
- Arian Lundberg
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Meng Zhang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Rahul Aggarwal
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Haolong Li
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Li Zhang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Adam Foye
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Martin Sjöström
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Jonathan Chou
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Kevin Chang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Thaidy Moreno-Rodriguez
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Urology, University of California San Francisco, San Francisco, California
| | - Raunak Shrestha
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Avi Baskin
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Xiaolin Zhu
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Alana S. Weinstein
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Noah Younger
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Joshi J. Alumkal
- Division of Hematology and Oncology, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Tomasz M. Beer
- Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Kim N. Chi
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher P. Evans
- Comprehensive Cancer Center, University of California Davis, Sacramento, California
- Department of Urologic Surgery, University of California Davis, Sacramento, California
| | - Martin Gleave
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Primo N. Lara
- Comprehensive Cancer Center, University of California Davis, Sacramento, California
- Division of Hematology Oncology, Department of Internal Medicine, University of California Davis, Sacramento, California
| | - Rob E. Reiter
- Departments of Medicine, Hematology/Oncology and Urology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California
| | - Matthew B. Rettig
- Departments of Medicine, Hematology/Oncology and Urology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California
- VA Greater Los Angeles Healthcare System, Los Angeles, California
| | - Owen N. Witte
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Alexander W. Wyatt
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Felix Y. Feng
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
- Department of Urology, University of California San Francisco, San Francisco, California
| | - Eric J. Small
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - David A. Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Urology, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
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2
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Mazziotta C, Cervellera CF, Badiale G, Vitali I, Touzé A, Tognon M, Martini F, Rotondo JC. Distinct retinoic gene signatures discriminate Merkel cell polyomavirus-positive from -negative Merkel cell carcinoma cells. J Med Virol 2023; 95:e28949. [PMID: 37436928 DOI: 10.1002/jmv.28949] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 07/14/2023]
Abstract
Limited molecular knowledge of Merkel cell polyomavirus (MCPyV)-positive and -negative Merkel cell carcinoma (MCC) subsets (MCCP/MCCN) has prevented so far the identification of the MCC origin cell type and, therefore, the development of effective therapies. The retinoic gene signature was investigated in various MCCP, MCCN, and control fibroblast/epithelial cell lines to elucidate the heterogeneous nature of MCC. Hierarchical clustering and principal component analysis indicated that MCCP and MCCN cells were clusterizable from each other and control cells, according to their retinoic gene signature. MCCP versus MCCN differentially expressed genes (n = 43) were identified. Protein-protein interaction network indicated SOX2, ISL1, PAX6, FGF8, ASCL1, OLIG2, SHH, and GLI1 as upregulated hub genes and JAG1 and MYC as downregulated hub genes in MCCP compared to MCCN. Numerous MCCP-associated hub genes were DNA-binding/-transcription factors involved in neurological and Merkel cell development and stemness. Enrichment analyses indicated that MCCP versus MCCN differentially expressed genes predominantly encode for to DNA-binding/-transcription factors involved in development, stemness, invasiveness, and cancer. Our findings suggest the neuroendocrine origin of MCCP, by which neuronal precursor cells could undergo an MCPyV-driven transformation. These overarching results might open the way to novel retinoid-based MCC therapies.
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Affiliation(s)
- Chiara Mazziotta
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
- Department of Medical Sciences, Center for Studies on Gender Medicine, University of Ferrara, Ferrara, Italy
| | | | - Giada Badiale
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Ilaria Vitali
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Antoine Touzé
- "Biologie Des Infections À Polyomavirus" Team, UMR, University of Tours, Tours, France
| | - Mauro Tognon
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Fernanda Martini
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
- Department of Medical Sciences, Center for Studies on Gender Medicine, University of Ferrara, Ferrara, Italy
- Laboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, Ferrara, Italy
| | - John Charles Rotondo
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
- Department of Medical Sciences, Center for Studies on Gender Medicine, University of Ferrara, Ferrara, Italy
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3
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Szu JI, Tsigelny IF, Wojcinski A, Kesari S. Biological functions of the Olig gene family in brain cancer and therapeutic targeting. Front Neurosci 2023; 17:1129434. [PMID: 37274223 PMCID: PMC10232966 DOI: 10.3389/fnins.2023.1129434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/26/2023] [Indexed: 06/06/2023] Open
Abstract
The Olig genes encode members of the basic helix-loop-helix (bHLH) family of transcription factors. Olig1, Olig2, and Olig3 are expressed in both the developing and mature central nervous system (CNS) and regulate cellular specification and differentiation. Over the past decade extensive studies have established functional roles of Olig1 and Olig2 in development as well as in cancer. Olig2 overexpression drives glioma proliferation and resistance to radiation and chemotherapy. In this review, we summarize the biological functions of the Olig family in brain cancer and how targeting Olig family genes may have therapeutic benefit.
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Affiliation(s)
- Jenny I. Szu
- Department of Translational Neurosciences, Providence Saint John’s Health Center, Saint John’s Cancer Institute, Santa Monica, CA, United States
| | - Igor F. Tsigelny
- San Diego Supercomputer Center, University of California, San Diego, San Diego, CA, United States
- CureScience, San Diego, CA, United States
| | - Alexander Wojcinski
- Department of Translational Neurosciences, Providence Saint John’s Health Center, Saint John’s Cancer Institute, Santa Monica, CA, United States
- Pacific Neuroscience Institute, Santa Monica, CA, United States
| | - Santosh Kesari
- Department of Translational Neurosciences, Providence Saint John’s Health Center, Saint John’s Cancer Institute, Santa Monica, CA, United States
- Pacific Neuroscience Institute, Santa Monica, CA, United States
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4
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Mo H, Magaki S, Deisch JK, Raghavan R. Isocitrate Dehydrogenase Mutations Are Associated with Different Expression and DNA Methylation Patterns of OLIG2 in Adult Gliomas. J Neuropathol Exp Neurol 2022; 81:707-716. [PMID: 35856894 DOI: 10.1093/jnen/nlac059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Isocitrate dehydrogenase (IDH) mutant gliomas are associated with a better prognosis in comparison to adult IDH wild-type glioma and glioma-CpG island methylator phenotypes. Although OLIG2 is mainly expressed in oligodendrocytes in normal adult brain, it is expressed in both astrocytomas and oligodendrogliomas. Utilizing the clinical, DNA methylation, and RNA-sequencing data from the Cancer Genome Atlas (TCGA) for lower-grade glioma and glioblastoma cohorts, we explored the association between IDH mutation status and OLIG2 expression on transcription, DNA methylation, and gene target levels. Compared to IDH wild-type gliomas, IDH mutant gliomas showed consistently higher expression of OLIG2 transcripts. OLIG2 overexpression is a good surrogate marker for IDH mutation with an AUC of 0.90. At the DNA methylation level, IDH-mutant gliomas showed hyper- and hypomethylation foci upstream of the OLIG2 transcription start site. Underexpressed OLIG2 target genes in IDH mutant glioma were enriched in cell cycle-related pathways. Thus, the differential expression of OLIG2 between IDH mutant and wild-type gliomas reflects involvement in multiple pathways in tumorigenesis.
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Affiliation(s)
- Huan Mo
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Shino Magaki
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Jeremy K Deisch
- Department of Pathology, Loma Linda University Medical Center and School of Medicine, Loma Linda, California, USA
| | - Ravi Raghavan
- Department of Pathology, Loma Linda University Medical Center and School of Medicine, Loma Linda, California, USA
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The Epigenetic Regulation of OLIG2 by Histone Demethylase KDM6B in Glioma Cells. J Mol Neurosci 2022; 72:939-946. [DOI: 10.1007/s12031-022-01976-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/16/2022] [Indexed: 11/30/2022]
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Szu J, Wojcinski A, Jiang P, Kesari S. Impact of the Olig Family on Neurodevelopmental Disorders. Front Neurosci 2021; 15:659601. [PMID: 33859549 PMCID: PMC8042229 DOI: 10.3389/fnins.2021.659601] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/08/2021] [Indexed: 12/13/2022] Open
Abstract
The Olig genes encode members of the basic helix-loop-helix (bHLH) family of transcription factors. Olig1, Olig2, and Olig3 are expressed in both the developing and mature central nervous system (CNS) and strictly regulate cellular specification and differentiation. Extensive studies have established functional roles of Olig1 and Olig2 in directing neuronal and glial formation during different stages in development. Recently, Olig2 overexpression was implicated in neurodevelopmental disorders down syndrome (DS) and autism spectrum disorder (ASD) but its influence on cognitive and intellectual defects remains unknown. In this review, we summarize the biological functions of the Olig family and how it uniquely promotes cellular diversity in the CNS. This is followed up with a discussion on how abnormal Olig2 expression impacts brain development and function in DS and ASD. Collectively, the studies described here emphasize vital features of the Olig members and their distinctive potential roles in neurodevelopmental disease states.
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Affiliation(s)
- Jenny Szu
- Department of Translational Neurosciences and Neurotherapeutics, Saint John's Cancer Institute, Providence Saint John's Health Center, Santa Monica, CA, United States
| | - Alexandre Wojcinski
- Department of Translational Neurosciences and Neurotherapeutics, Saint John's Cancer Institute, Providence Saint John's Health Center, Santa Monica, CA, United States
| | - Peng Jiang
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, United States
| | - Santosh Kesari
- Department of Translational Neurosciences and Neurotherapeutics, Saint John's Cancer Institute, Providence Saint John's Health Center, Santa Monica, CA, United States.,Pacific Neuroscience Institute, Providence Saint John's Health Center, Santa Monica, CA, United States
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Galdieri L, Jash A, Malkova O, Mao DD, DeSouza P, Chu YE, Salter A, Campian JL, Naegle KM, Brennan CW, Wakimoto H, Oh ST, Kim AH, Chheda MG. Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry. JCI Insight 2021; 6:128456. [PMID: 33400685 PMCID: PMC7934942 DOI: 10.1172/jci.insight.128456] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 12/29/2020] [Indexed: 01/09/2023] Open
Abstract
Most patients with glioblastoma (GBM) die within 2 years. A major therapeutic goal is to target GBM stem cells (GSCs), a subpopulation of cells that contribute to treatment resistance and recurrence. Since their discovery in 2003, GSCs have been isolated using single-surface markers, such as CD15, CD44, CD133, and α6 integrin. It remains unknown how these single-surface marker-defined GSC populations compare with each other in terms of signaling and function and whether expression of different combinations of these markers is associated with different functional capacity. Using mass cytometry and fresh operating room specimens, we found 15 distinct GSC subpopulations in patients, and they differed in their MEK/ERK, WNT, and AKT pathway activation status. Once in culture, some subpopulations were lost and previously undetectable ones materialized. GSCs that highly expressed all 4 surface markers had the greatest self-renewal capacity, WNT inhibitor sensitivity, and in vivo tumorigenicity. This work highlights the potential signaling and phenotypic diversity of GSCs. Larger patient sample sizes and antibody panels are required to confirm these findings.
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Affiliation(s)
| | | | - Olga Malkova
- Center for Human Immunology and Immunotherapy Programs, and
| | - Diane D Mao
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Yunli E Chu
- Biomedical Engineering and Center for Biological Systems Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Amber Salter
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jian L Campian
- Department of Medicine.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Kristen M Naegle
- Biomedical Engineering and Center for Biological Systems Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Cameron W Brennan
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Hiroaki Wakimoto
- Brain Tumor Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Stephen T Oh
- Center for Human Immunology and Immunotherapy Programs, and.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Albert H Kim
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Milan G Chheda
- Department of Medicine.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri, USA.,Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
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Chen Y, Zheng Z, Mei A, Huang H, Lin F. Claudin-1 and Claudin-3 as Molecular Regulators of Myelination in Leukoaraiosis Patients. Clinics (Sao Paulo) 2021; 76:e2167. [PMID: 34008771 PMCID: PMC8101689 DOI: 10.6061/clinics/2021/e2167] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 11/05/2020] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVES Leukoaraiosis is described as white matter lesions that are associated with cognitive dysfunction, neurodegenerative disorders, etc. Myelin depletion is a salient pathological feature of, and the loss of oligodendrocytes is one of the most robust alterations evident in, white matter degeneration. Recent studies have revealed that claudin proteins are aberrantly expressed in leukoaraiosis and regulate oligodendrocyte activity. However, the roles of claudin-1 and claudin-3 in oligodendrocytes and leukoaraiosis are still not well-defined. METHODS Quantitative polymerase chain reaction was used to measure the expression of claudin-1 (CLDN1), claudin-3 (CLDN3), and myelinogenesis-related genes such as myelin basic protein (MBP), proteolipid protein (PLP), oligodendrocyte transcription factor 2 (OLIG2), and SRY-box transcription factor 10 (SOX10) in leukoaraiosis patients (n=122) and healthy controls (n=122). The expression of claudin-1 and claudin-3 was either ectopically silenced or augmented in Oli-neu oligodendrocytes, and colony formation, apoptosis, and migration assays were performed. Finally, the expression of myelin proteins was evaluated by western blotting. RESULTS Our results revealed that in addition to SOX10, the expression levels of claudin-1, claudin-3, and myelinogenesis-related proteins were prominently downregulated in leukoaraiosis patients, compared to those in healthy controls. Furthermore, the growth and migration of Oli-neu cells were downregulated upon silencing claudin-1 or claudin-3. However, the overexpression of claudin-1 or claudin-3 resulted in the reduction of the degree of apoptosis in Oli-neu cells. In addition, claudin-1 and claudin-3 promoted the expression of MBP, OLIG2, PLP, and SOX10 at the translational level. CONCLUSION Our data has demonstrated that the abnormal expression of claudin-1 and claudin-3 regulates the pathological progression of leukoaraiosis by governing the viability and myelination of oligodendrocytes. These findings provide novel insights into the regulatory mechanisms underlying the roles of claudin-1 and claudin-3 in leukoaraiosis.
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Affiliation(s)
- Yan Chen
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, P.R. China
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, 350001, P.R. China
- Fujian Key Laboratory of Geriatrics, Fuzhou, 350001, P.R. China
- Fujian Provincial center for Geriatrics, Fuzhou, 350001, P.R. China
| | - Zheng Zheng
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, P.R. China
- Department of Neurology, Fujian Provincial Hospital, Fuzhou, 350001, P.R. China
- *Corresponding author. E-mail:
| | - Ainong Mei
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, P.R. China
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, 350001, P.R. China
- Fujian Key Laboratory of Geriatrics, Fuzhou, 350001, P.R. China
- Fujian Provincial center for Geriatrics, Fuzhou, 350001, P.R. China
| | - Huan Huang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, P.R. China
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, 350001, P.R. China
- Fujian Key Laboratory of Geriatrics, Fuzhou, 350001, P.R. China
- Fujian Provincial center for Geriatrics, Fuzhou, 350001, P.R. China
| | - Fan Lin
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, P.R. China
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, 350001, P.R. China
- Fujian Key Laboratory of Geriatrics, Fuzhou, 350001, P.R. China
- Fujian Provincial center for Geriatrics, Fuzhou, 350001, P.R. China
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9
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Koch MS, Czemmel S, Lennartz F, Beyeler S, Rajaraman S, Przystal JM, Govindarajan P, Canjuga D, Neumann M, Rizzu P, Zwirner S, Hoetker MS, Zender L, Walter B, Tatagiba M, Raineteau O, Heutink P, Nahnsen S, Tabatabai G. Experimental glioma with high bHLH expression harbor increased replicative stress and are sensitive toward ATR inhibition. Neurooncol Adv 2020; 2:vdaa115. [PMID: 33134924 PMCID: PMC7592426 DOI: 10.1093/noajnl/vdaa115] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background The overexpression of (basic)helix-loop-helix ((b)HLH) transcription factors (TFs) is frequent in malignant glioma. We investigated molecular effects upon disruption of the (b)HLH network by a dominant-negative variant of the E47 protein (dnE47). Our goal was to identify novel molecular subgroup-specific therapeutic strategies. Methods Glioma cell lines LN229, LNZ308, and GS-2/GS-9 were lentivirally transduced. Functional characterization included immunocytochemistry, immunoblots, cytotoxic, and clonogenic survival assays in vitro, and latency until neurological symptoms in vivo. Results of cap analysis gene expression and RNA-sequencing were further validated by immunoblot, flow cytometry, and functional assays in vitro. Results The induction of dnE47-RFP led to cytoplasmic sequestration of (b)HLH TFs and antiglioma activity in vitro and in vivo. Downstream molecular events, ie, alterations in transcription start site usage and in the transcriptome revealed enrichment of cancer-relevant pathways, particularly of the DNA damage response (DDR) pathway. Pharmacologic validation of this result using ataxia telangiectasia and Rad3 related (ATR) inhibition led to a significantly enhanced early and late apoptotic effect compared with temozolomide alone. Conclusions Gliomas overexpressing (b)HLH TFs are sensitive toward inhibition of the ATR kinase. The combination of ATR inhibition plus temozolomide or radiation therapy in this molecular subgroup are warranted.
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Affiliation(s)
- Marilin Sophia Koch
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Stefan Czemmel
- Quantitative Biology Center (QBiC), Eberhard Karls University Tübingen, Tübingen, Germany
| | - Felix Lennartz
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Sarah Beyeler
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.,German Translational Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Srinath Rajaraman
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Justyna Magdalena Przystal
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.,German Translational Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Parameswari Govindarajan
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Denis Canjuga
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Manfred Neumann
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Patrizia Rizzu
- German Center for Neurodegenerative Diseases (DZNE), German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Stefan Zwirner
- Department of Internal Medicine VIII, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Michael Stefan Hoetker
- Department of Internal Medicine I, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Lars Zender
- Department of Internal Medicine VIII, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.,German Translational Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Bianca Walter
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.,German Translational Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Marcos Tatagiba
- Department of Neurosurgery, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Olivier Raineteau
- University of Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, Bron, France
| | - Peter Heutink
- German Center for Neurodegenerative Diseases (DZNE), German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Sven Nahnsen
- Quantitative Biology Center (QBiC), Eberhard Karls University Tübingen, Tübingen, Germany
| | - Ghazaleh Tabatabai
- Department of Neurology and Interdisciplinary Neuro-Oncology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.,German Translational Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
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10
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Liesche-Starnecker F, Mayer K, Kofler F, Baur S, Schmidt-Graf F, Kempter J, Prokop G, Pfarr N, Wei W, Gempt J, Combs SE, Zimmer C, Meyer B, Wiestler B, Schlegel J. Immunohistochemically Characterized Intratumoral Heterogeneity Is a Prognostic Marker in Human Glioblastoma. Cancers (Basel) 2020; 12:cancers12102964. [PMID: 33066251 PMCID: PMC7602025 DOI: 10.3390/cancers12102964] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/02/2020] [Accepted: 10/09/2020] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Intratumoral heterogeneity is believed to contribute to the immense therapy resistance and recurrence rate of glioblastoma. The aim of this retrospective study was to analyze the heterogeneity of 36 human glioblastoma samples on a morphological level by immunohistochemistry. We confirmed that this method is valid for heterogeneity detection. 115 Areas of Interest were labelled. By cluster analysis, we defined two subtypes (“classical” and “mesenchymal”). The results of epigenomic analyses corroborated the findings. Interestingly, patients with tumors that consisted of both subtypes (“subtype-heterogeneous”) showed a shorter overall survival compared to patients with tumor that were dominated by one subtype (“subtype-dominant”). Furthermore, the analysis of 21 corresponding pairs of primary and recurrent glioblastoma demonstrated that, additionally to an intratumoral heterogeneity, there is also a chronological heterogeneity with dominance of the mesenchymal subtype in recurrent tumors. Our study confirms the prognostic impact of intratumoral heterogeneity in glioblastoma and makes this hallmark assessable by routine diagnostics. Abstract Tumor heterogeneity is considered to be a hallmark of glioblastoma (GBM). Only more recently, it has become apparent that GBM is not only heterogeneous between patients (intertumoral heterogeneity) but more importantly, also within individual patients (intratumoral heterogeneity). In this study, we focused on assessing intratumoral heterogeneity. For this purpose, the heterogeneity of 38 treatment-naïve GBM was characterized by immunohistochemistry. Perceptible areas were rated for ALDH1A3, EGFR, GFAP, Iba1, Olig2, p53, and Mib1. By clustering methods, two distinct groups similar to subtypes described in literature were detected. The classical subtype featured a strong EGFR and Olig2 positivity, whereas the mesenchymal subtype displayed a strong ALDH1A3 expression and a high fraction of Iba1-positive microglia. 18 tumors exhibited both subtypes and were classified as “subtype-heterogeneous”, whereas the areas of the other tumors were all assigned to the same cluster and named “subtype-dominant”. Results of epigenomic analyses corroborated these findings. Strikingly, the subtype-heterogeneous tumors showed a clearly shorter overall survival compared to subtype-dominant tumors. Furthermore, 21 corresponding pairs of primary and recurrent GBM were compared, showing a dominance of the mesenchymal subtype in the recurrent tumors. Our study confirms the prognostic impact of intratumoral heterogeneity in GBM, and more importantly, makes this hallmark assessable by routine diagnostics.
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Affiliation(s)
- Friederike Liesche-Starnecker
- Department of Neuropathology, School of Medicine, Institute of Pathology, Technical University Munich, Trogerstraße 18, 81675 München, Germany; (K.M.); (S.B.); (G.P.); (W.W.); (J.S.)
- Correspondence: ; Tel.: +49-89-6145
| | - Karoline Mayer
- Department of Neuropathology, School of Medicine, Institute of Pathology, Technical University Munich, Trogerstraße 18, 81675 München, Germany; (K.M.); (S.B.); (G.P.); (W.W.); (J.S.)
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany; (F.K.); (C.Z.); (B.W.)
| | - Sandra Baur
- Department of Neuropathology, School of Medicine, Institute of Pathology, Technical University Munich, Trogerstraße 18, 81675 München, Germany; (K.M.); (S.B.); (G.P.); (W.W.); (J.S.)
| | - Friederike Schmidt-Graf
- Department of Neurology, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany; (F.S.-G.); (J.K.)
| | - Johanna Kempter
- Department of Neurology, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany; (F.S.-G.); (J.K.)
| | - Georg Prokop
- Department of Neuropathology, School of Medicine, Institute of Pathology, Technical University Munich, Trogerstraße 18, 81675 München, Germany; (K.M.); (S.B.); (G.P.); (W.W.); (J.S.)
| | - Nicole Pfarr
- Institute of Pathology, School of Medicine, Technical University Munich, Trogerstraße 18, 81675 München, Germany;
| | - Wu Wei
- Department of Neuropathology, School of Medicine, Institute of Pathology, Technical University Munich, Trogerstraße 18, 81675 München, Germany; (K.M.); (S.B.); (G.P.); (W.W.); (J.S.)
| | - Jens Gempt
- Department of Neurosurgery, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany; (J.G.); (B.M.)
| | - Stephanie E. Combs
- Department of RadiationOncology, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany;
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany; (F.K.); (C.Z.); (B.W.)
| | - Bernhard Meyer
- Department of Neurosurgery, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany; (J.G.); (B.M.)
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University Munich, Ismaninger Str. 22, 81675 München, Germany; (F.K.); (C.Z.); (B.W.)
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Einsteinstraße 25, 81675 München, Germany
| | - Jürgen Schlegel
- Department of Neuropathology, School of Medicine, Institute of Pathology, Technical University Munich, Trogerstraße 18, 81675 München, Germany; (K.M.); (S.B.); (G.P.); (W.W.); (J.S.)
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11
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Panagopoulos I, Gorunova L, Johannsdottir IMR, Andersen K, Holth A, Beiske K, Heim S. Chromosome Translocation t(14;21)(q11;q22) Activates Both OLIG1 and OLIG2 in Pediatric T-cell Lymphoblastic Malignancies and May Signify Adverse Prognosis. Cancer Genomics Proteomics 2020; 17:41-48. [PMID: 31882550 DOI: 10.21873/cgp.20166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 11/11/2019] [Accepted: 11/15/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND/AIM The chromosome translocation t(14;21)(q11;q22) was reported in four pediatric T-cell lymphoblastic leukemias and was shown to activate the OLIG2 gene. MATERIALS AND METHODS A pediatric T-cell lymphoblastic lymphoma was investigated using G-banding chromosome analysis, fluorescence in situ hybridization (FISH), and immunocytochemistry. RESULTS The malignant cells carried a t(14;21)(q11;q22) aberration. The translocation moves the enhancer elements of TRA/TRD from band 14q11 to 21q22, a few thousands kbp downstream of OLIG1 and OLIG2, resulting in the production of both OLIG1 and OLIG2 proteins. CONCLUSION The translocation t(14;21)(q11;q22) occurs in some pediatric T-cell lymphoblastic malignancies. Activation of both OLIG1 and OLIG2 by t(14;21)(q11;q22) in T-lymphoblasts and the ensuing deregulation of thousands of genes could explain the highly malignant disease and resistance to treatment that has characterized this small group of patients.
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Affiliation(s)
- Ioannis Panagopoulos
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Ludmila Gorunova
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Inga Maria Rinvoll Johannsdottir
- Department of Pediatric Cancer and Blood Disorders, Oslo University Hospital, Oslo, Norway.,National Advisory Unit on Late Effects after Cancer Treatment, Oslo University Hospital, Oslo, Norway
| | - Kristin Andersen
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Arild Holth
- Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Klaus Beiske
- Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sverre Heim
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
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12
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Exploitation of fibrin-based signaling niche for deriving progenitors from human adipose-derived mesenchymal stem cells towards potential neural engineering applications. Sci Rep 2020; 10:7116. [PMID: 32346006 PMCID: PMC7188903 DOI: 10.1038/s41598-020-63445-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 03/19/2020] [Indexed: 02/06/2023] Open
Abstract
Adipose-derived mesenchymal stem cells (hADMSC) retaining proliferation and multi-differentiation potential may support the central nervous system (CNS) regeneration. Multipotency of MSC may result in both desirable and undesirable cells, post-transplantation. A better strategy to attain desired cells may be in vitro commitment of hADMSCs to uni-/bi- potent neural progenitor cells (NPCs), prior to transplantation. Derivation of stable NPCs may require a suitable niche eliciting proliferation and differentiation signals. The present study designed a biomimetic niche comprising insoluble fibrin supported adhesion matrix and exogenously added growth factors (GFs) for deriving different neural cells and established the role of Notch and Wnt signals for proliferation and differentiation of hADMSCs, respectively. The stable transformation of hADMSCs into neurospheres (NS) comprising Nestin+ve NPCs was achieved consistently. Slight modifications of niche enable differentiation of NS to NPCs; NPCs to neurons; NPCs to oligodendrocyte progenitor cells (OPCs); and OPCs to oligodendrocytes (OLG). Fibrin plays a crucial role in the conversion of hADMSC to NS and NPCs to OPCs; but, not essential for OPC to OLG maturation. Co-survival and cell-cell interaction of NPC derived neurons and OPCs promoting OLG maturation is illustrated. The designed biomimetic niche shows the potential for directing autologous ADMSCs to neural cells for applications in regenerative medicine.
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13
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Zheng F, Zhou YT, Zeng YF, Liu T, Yang ZY, Tang T, Luo JK, Wang Y. Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase. Front Mol Neurosci 2020; 13:27. [PMID: 32174813 PMCID: PMC7057045 DOI: 10.3389/fnmol.2020.00027] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 02/04/2020] [Indexed: 12/11/2022] Open
Abstract
Background: Stroke is a leading health issue, with high morbidity and mortality rates worldwide. Of all strokes, approximately 80% of cases are ischemic stroke (IS). However, the underlying mechanisms of the occurrence of acute IS remain poorly understood because of heterogeneous and multiple factors. More potential biomarkers are urgently needed to reveal the deeper pathogenesis of IS. Methods: We identified potential biomarkers in rat brain tissues of IS using an iTRAQ labeling approach coupled with LC-MS/MS. Furthermore, bioinformatrics analyses including GO, KEGG, DAVID, and Cytoscape were used to present proteomic profiles and to explore the disease mechanisms. Additionally, Western blotting for target proteins was conducted for further verification. Results: We identified 4,578 proteins using the iTRAQ-based proteomics method. Of these proteins, 282 differentiated proteins, comprising 73 upregulated and 209 downregulated proteins, were observed. Further bioinformatics analysis suggested that the candidate proteins were mainly involved in energy liberation, intracellular protein transport, and synaptic plasticity regulation during the acute period. KEGG pathway enrichment analysis indicated a series of representative pathological pathways, including energy metabolite, long-term potentiation (LTP), and neurodegenerative disease-related pathways. Moreover, Western blotting confirmed the associated candidate proteins, which refer to oxidative responses and synaptic plasticity. Conclusions: Our findings highlight the identification of candidate protein biomarkers and provide insight into the biological processes involved in acute IS.
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Affiliation(s)
- Fei Zheng
- College of Electrical and Information Engineering, Hunan University, Changsha, China
| | - Yan-Tao Zhou
- College of Electrical and Information Engineering, Hunan University, Changsha, China
| | - Yi-Fu Zeng
- College of Electrical and Information Engineering, Hunan University, Changsha, China
| | - Tao Liu
- Laboratory of Ethnopharmacology, Institute of Integrative Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Zhao-Yu Yang
- Laboratory of Ethnopharmacology, Institute of Integrative Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Tao Tang
- Laboratory of Ethnopharmacology, Institute of Integrative Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Jie-Kun Luo
- Laboratory of Ethnopharmacology, Institute of Integrative Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Yang Wang
- Laboratory of Ethnopharmacology, Institute of Integrative Medicine, Xiangya Hospital, Central South University, Changsha, China
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14
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Zhang A, Li CY, Kelly EJ, Sheppard L, Cui JY. Transcriptomic profiling of PBDE-exposed HepaRG cells unveils critical lncRNA- PCG pairs involved in intermediary metabolism. PLoS One 2020; 15:e0224644. [PMID: 32101552 PMCID: PMC7043721 DOI: 10.1371/journal.pone.0224644] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 12/23/2019] [Indexed: 01/22/2023] Open
Abstract
Polybrominated diphenyl ethers (PBDEs) were formally used as flame-retardants and are chemically stable, lipophlic persistent organic pollutants which are known to bioaccumulate in humans. Although its toxicities are well characterized, little is known about the changes in transcriptional regulation caused by PBDE exposure. Long non-coding RNAs (lncRNAs) are increasingly recognized as key regulators of transcriptional and translational processes. It is hypothesized that lncRNAs can regulate nearby protein-coding genes (PCGs) and changes in the transcription of lncRNAs may act in cis to perturb gene expression of its neighboring PCGs. The goals of this study were to 1) characterize PCGs and lncRNAs that are differentially regulated from exposure to PBDEs; 2) identify PCG-lncRNA pairs through genome annotation and predictive binding tools; and 3) determine enriched canonical pathways caused by differentially expressed lncRNA-PCGs pairs. HepaRG cells, which are human-derived hepatic cells that accurately represent gene expression profiles of human liver tissue, were exposed to BDE-47 and BDE-99 at a dose of 25 μM for 24 hours. Differentially expressed lncRNA-PCG pairs were identified through DESeq2 and HOMER; significant canonical pathways were determined through Ingenuity Pathway Analysis (IPA). LncTar was used to predict the binding of 19 lncRNA-PCG pairs with known roles in drug-processing pathways. Genome annotation revealed that the majority of the differentially expressed lncRNAs map to PCG introns. PBDEs regulated overlapping pathways with PXR and CAR such as protein ubiqutination pathway and peroxisome proliferator-activated receptor alpha-retinoid X receptor alpha (PPARα-RXRα) activation but also regulate distinctive pathways involved in intermediary metabolism. PBDEs uniquely down-regulated GDP-L-fucose biosynthesis, suggesting its role in modifying important pathways involved in intermediary metabolism such as carbohydrate and lipid metabolism. In conclusion, we provide strong evidence that PBDEs regulate both PCGs and lncRNAs in a PXR/CAR ligand-dependent and independent manner.
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Affiliation(s)
- Angela Zhang
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
| | - Cindy Yanfei Li
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
| | - Edward J. Kelly
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
- Department of Pharmaceutics, University of Washington, Seattle, WA, United States of America
| | - Lianne Sheppard
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Julia Yue Cui
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
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15
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Sun L, Xia L, Wang M, Zhu D, Wang Y, Bi D, Song J, Ma C, Gao C, Zhang X, Sun Y, Wang X, Zhu C, Xing Q. Variants of the OLIG2 Gene are Associated with Cerebral Palsy in Chinese Han Infants with Hypoxic-Ischemic Encephalopathy. Neuromolecular Med 2018; 21:75-84. [PMID: 30178266 DOI: 10.1007/s12017-018-8510-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 08/31/2018] [Indexed: 12/11/2022]
Abstract
Cerebral palsy (CP) is a leading cause of neurological disability among young children. Congenial and adverse perinatal clinical conditions, such as genetic factors, perinatal infection, and asphyxia, are risk factors for CP. Oligodendrocyte transcription factor (OLIG2) is a protein that is expressed in brain oligodendrocyte cells and is involved in neuron repair after brain injury. In this study, we employed a Chinese Han cohort of 763 CP infants and 738 healthy controls to study the association of OLIG2 gene polymorphisms with CP. We found marginal association of the SNP rs6517135 with CP (p = 0.044) at the genotype level, and the association was greatly strengthened when we focused on the subgroup of CP infants who suffered from hypoxic-ischemic encephalopathy (HIE) after birth, with p = 0.003 (OR = 0.558) at the allele level and p = 0.007 at the genotype level, indicating a risk-associated role of the T allele of the SNP rs6517135 under HIE conditions. The haplotype CTTG for rs6517135-rs1005573-rs6517137-rs9653711 in OLIG2 was also significantly associated with the occurrence of CP in infants with HIE (p = 0.01, OR = 0.521). Our results indicate that in the Han Chinese population, the polymorphisms of OLIG2 were associated with CP, especially in patients who had suffered HIE injury. This finding could be used to develop personalized care for infants with high susceptibility to CP.
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MESH Headings
- Alleles
- Asian People/genetics
- Asphyxia Neonatorum/complications
- Case-Control Studies
- Cerebral Palsy/etiology
- Cerebral Palsy/genetics
- Child
- Child, Preschool
- Female
- Fetal Growth Retardation/epidemiology
- Genetic Predisposition to Disease
- Genotype
- Haplotypes/genetics
- Humans
- Hypoxia-Ischemia, Brain/complications
- Infant
- Infant, Low Birth Weight
- Infant, Newborn
- Infant, Premature
- Infant, Premature, Diseases/epidemiology
- Infant, Premature, Diseases/genetics
- Male
- Oligodendrocyte Transcription Factor 2/deficiency
- Oligodendrocyte Transcription Factor 2/genetics
- Oligodendrocyte Transcription Factor 2/physiology
- Oligodendroglia/metabolism
- Polymorphism, Single Nucleotide
- Pregnancy
- Pregnancy Complications/epidemiology
- Risk
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Affiliation(s)
- Liya Sun
- Institute of Biomedical Science and Children's Hospital, Fudan University, Shanghai, 201102, China
- Shanghai Center for Women and Children's Health, Shanghai, 200062, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Lei Xia
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Mingtai Wang
- Nursing School, Sias International University, Zhengzhou, 451150, China
| | - Dengna Zhu
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
- Child Rehabilitation Center, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yangong Wang
- Institute of Biomedical Science and Children's Hospital, Fudan University, Shanghai, 201102, China
| | - Dan Bi
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Juan Song
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Caiyun Ma
- Department of Pediatrics, Children's Hospital of Zhengzhou University and Henan Children's Hospital, Zhengzhou, 450053, China
| | - Chao Gao
- Department of Pediatrics, Children's Hospital of Zhengzhou University and Henan Children's Hospital, Zhengzhou, 450053, China
| | - Xiaoli Zhang
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yanyan Sun
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Xiaoyang Wang
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
- Department of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 40530, Gothenburg, Sweden
| | - Changlian Zhu
- Henan Key Laboratory of Child Brain Injury, Department of Pediatrics, The 3rd Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
- Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 40530, Gothenburg, Sweden.
- Henan Key Laboratory of Child Brain Injury, Zhengzhou University, Kangfuqian Street 7, Zhengzhou, 450052, China.
| | - Qinghe Xing
- Institute of Biomedical Science and Children's Hospital, Fudan University, Shanghai, 201102, China.
- Shanghai Center for Women and Children's Health, Shanghai, 200062, China.
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16
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Prabhu A, Kesarwani P, Kant S, Graham SF, Chinnaiyan P. Histologically defined intratumoral sequencing uncovers evolutionary cues into conserved molecular events driving gliomagenesis. Neuro Oncol 2018; 19:1599-1606. [PMID: 28541485 DOI: 10.1093/neuonc/nox100] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Background Glioblastoma represents an archetypal example of a heterogeneous malignancy. To understand the diverse molecular consequences of this complex tumor ecology, we analyzed RNA-seq data generated from commonly identified intratumoral structures in glioblastoma enriched using laser capture microdissection. Methods Raw gene-level values of fragments per kilobase of transcript per million reads mapped and the associated clinical data were acquired from the publicly available Ivy Glioblastoma Atlas Project database and analyzed using MetaboAnalyst (v3.0). The database includes gene expression data generated from multiple structural features commonly identified in glioblastoma enriched by laser capture microdissection. Results We uncovered a relationship between subtype heterogeneity in glioblastoma and its unique tumor microenvironment, with infiltrating cells harboring a proneural signature while the mesenchymal subtype was enriched in perinecrotic regions. When evaluating the tumors' transcriptional profiles in the context of their derived structural regions, there was a relatively small amount of intertumoral heterogeneity in glioblastoma, with individual regions from different tumors clustering tightly together. Analyzing the transcriptional profiles in the context of evolutionary progression identified unique cellular programs associated with specific phases of gliomagenesis. Mediators of cell signaling and cell cycle progression appear to be critical events driving proliferation in the tumor core, while in addition to a multiplex strategy for promoting angiogenesis and/or an immune-tolerant environment, transformation to perinecrotic zones involved global metabolic alterations. Conclusion These findings suggest that intratumoral heterogeneity in glioblastoma is a conserved, predictable consequence to its complex microenvironment, and combinatorial approaches designed to target these unequivocally present tumor biomes may lead to therapeutic gains.
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Affiliation(s)
- Antony Prabhu
- Radiation Oncology and Metabolomics and Obstetrics/Gynecology, Beaumont Health, Royal Oak, Michigan
| | - Pravin Kesarwani
- Radiation Oncology and Metabolomics and Obstetrics/Gynecology, Beaumont Health, Royal Oak, Michigan
| | - Shiva Kant
- Radiation Oncology and Metabolomics and Obstetrics/Gynecology, Beaumont Health, Royal Oak, Michigan
| | - Stewart F Graham
- Radiation Oncology and Metabolomics and Obstetrics/Gynecology, Beaumont Health, Royal Oak, Michigan
| | - Prakash Chinnaiyan
- Radiation Oncology and Metabolomics and Obstetrics/Gynecology, Beaumont Health, Royal Oak, Michigan
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17
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Costa Nunes F, Silva LB, Winter E, Silva AH, de Melo LJ, Rode M, Martins MAP, Zanatta N, Feitosa SC, Bonacorso HG, Creczynski-Pasa TB. Tacrine derivatives stimulate human glioma SF295 cell death and alter important proteins related to disease development: An old drug for new targets. Biochim Biophys Acta Gen Subj 2018; 1862:1527-1536. [DOI: 10.1016/j.bbagen.2018.04.019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 04/17/2018] [Accepted: 04/23/2018] [Indexed: 10/24/2022]
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18
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Alamir H, Alomari M, Salwati AAA, Saka M, Bangash M, Baeesa S, Alghamdi F, Carracedo A, Schulten HJ, Chaudhary A, Abuzenadah A, Hussein D. In situ characterization of stem cells-like biomarkers in meningiomas. Cancer Cell Int 2018; 18:77. [PMID: 29849507 PMCID: PMC5970464 DOI: 10.1186/s12935-018-0571-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Accepted: 05/15/2018] [Indexed: 12/16/2022] Open
Abstract
Background Meningioma cancer stem cells (MCSCs) contribute to tumor aggressiveness and drug resistance. Successful therapies developed for inoperable, recurrent, or metastatic tumors must target these cells and restrict their contribution to tumor progression. Unfortunately, the identity of MCSCs remains elusive, and MSCSs’ in situ spatial distribution, heterogeneity, and relationship with tumor grade, remain unclear. Methods Seven tumors classified as grade II or grade III, including one case of metastatic grade III, and eight grade I meningioma tumors, were analyzed for combinations of ten stem cell (SC)-related markers using immunofluorescence of consecutive sections. The correlation of expression for all markers were investigated. Three dimensional spatial distribution of markers were qualitatively analyzed using a grid, designed as a repository of information for positive staining. All statistical analyses were completed using Statistical Analysis Software Package. Results The patterns of expression for SC-related markers were determined in the context of two dimensional distribution and cellular features. All markers could be detected in all tumors, however, Frizzled 9 and GFAP had differential expression in grade II/III compared with grade I meningioma tissues. Correlation analysis showed significant relationships between the expression of GFAP and CD133 as well as SSEA4 and Vimentin. Data from three dimensional analysis showed a complex distribution of SC markers, with increased gene hetero-expression being associated with grade II/III tumors. Sub regions that showed multiple co-staining of markers including CD133, Frizzled 9, GFAP, Vimentin, and SSEA4, but not necessarily the proliferation marker Ki67, were highly associated with grade II/III meningiomas. Conclusion The distribution and level of expression of CSCs markers in meningiomas are variable and show hetero-expression patterns that have a complex spatial nature, particularly in grade II/III meningiomas. Thus, results strongly support the notion of heterogeneous populations of CSCs, even in grade I meningiomas, and call for the use of multiple markers for the accurate identification of individual CSC subgroups. Such identification will lead to practical clinical diagnostic protocols that can quantitate CSCs, predict tumor recurrence, assist in guiding treatment selection for inoperable tumors, and improve follow up of therapy. Electronic supplementary material The online version of this article (10.1186/s12935-018-0571-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hanin Alamir
- 1Centre of Innovation for Personalized Medicine, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Mona Alomari
- 2King Fahd Medical Research Center, King Abdulaziz University, P.O. Box. 80216, Jeddah, 21589 Saudi Arabia
| | - Abdulla Ahmed A Salwati
- 2King Fahd Medical Research Center, King Abdulaziz University, P.O. Box. 80216, Jeddah, 21589 Saudi Arabia
| | - Mohamad Saka
- 2King Fahd Medical Research Center, King Abdulaziz University, P.O. Box. 80216, Jeddah, 21589 Saudi Arabia
| | - Mohammed Bangash
- 3Division of Neurosurgery, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Saleh Baeesa
- 3Division of Neurosurgery, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Fahad Alghamdi
- 4Pathology Department, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Angel Carracedo
- 5Galician Foundation of Genomic Medicine-SERGAS, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain.,6Center of Excellence in Genomic Medicine, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Hans-Juergen Schulten
- 6Center of Excellence in Genomic Medicine, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Adeel Chaudhary
- 1Centre of Innovation for Personalized Medicine, King Abdulaziz University, Jeddah, 21589 Saudi Arabia.,6Center of Excellence in Genomic Medicine, King Abdulaziz University, Jeddah, 21589 Saudi Arabia.,7Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Adel Abuzenadah
- 1Centre of Innovation for Personalized Medicine, King Abdulaziz University, Jeddah, 21589 Saudi Arabia.,2King Fahd Medical Research Center, King Abdulaziz University, P.O. Box. 80216, Jeddah, 21589 Saudi Arabia.,7Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
| | - Deema Hussein
- 2King Fahd Medical Research Center, King Abdulaziz University, P.O. Box. 80216, Jeddah, 21589 Saudi Arabia
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19
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Fiscon G, Conte F, Licursi V, Nasi S, Paci P. Computational identification of specific genes for glioblastoma stem-like cells identity. Sci Rep 2018; 8:7769. [PMID: 29773872 PMCID: PMC5958093 DOI: 10.1038/s41598-018-26081-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 04/25/2018] [Indexed: 12/15/2022] Open
Abstract
Glioblastoma, the most malignant brain cancer, contains self-renewing, stem-like cells that sustain tumor growth and therapeutic resistance. Identifying genes promoting stem-like cell differentiation might unveil targets for novel treatments. To detect them, here we apply SWIM - a software able to unveil genes (named switch genes) involved in drastic changes of cell phenotype - to public datasets of gene expression profiles from human glioblastoma cells. By analyzing matched pairs of stem-like and differentiated glioblastoma cells, SWIM identified 336 switch genes, potentially involved in the transition from stem-like to differentiated state. A subset of them was significantly related to focal adhesion and extracellular matrix and strongly down-regulated in stem-like cells, suggesting that they may promote differentiation and restrain tumor growth. Their expression in differentiated cells strongly correlated with the down-regulation of transcription factors like OLIG2, POU3F2, SALL2, SOX2, capable of reprogramming differentiated glioblastoma cells into stem-like cells. These findings were corroborated by the analysis of expression profiles from glioblastoma stem-like cell lines, the corresponding primary tumors, and conventional glioma cell lines. Switch genes represent a distinguishing feature of stem-like cells and we are persuaded that they may reveal novel potential therapeutic targets worthy of further investigation.
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Affiliation(s)
- Giulia Fiscon
- Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy
- SysBio Centre of Systems Biology, Rome, Italy
| | - Federica Conte
- Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy
- SysBio Centre of Systems Biology, Rome, Italy
| | - Valerio Licursi
- Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy
| | - Sergio Nasi
- Department of Biology and Biotecnology - Charles Darwin, "Sapienza" University of Rome, Rome, Italy
- Institute of Molecular Biology and Pathology (IBPM), National Research Council (CNR), Rome, Italy
| | - Paola Paci
- Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy.
- SysBio Centre of Systems Biology, Rome, Italy.
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20
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Schäfer S, Behling F, Skardelly M, Koch M, Ott I, Paulsen F, Tabatabai G, Schittenhelm J. Low FoxG1 and high Olig-2 labelling indices define a prognostically favourable subset in isocitrate dehydrogenase (IDH)-mutant gliomas. Neuropathol Appl Neurobiol 2017; 44:207-223. [PMID: 29053887 DOI: 10.1111/nan.12447] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 10/12/2017] [Indexed: 11/30/2022]
Abstract
AIMS Previous data suggest that expression of transcription factors FoxG1 and Olig-2 can separate hotspot histone H3 family member 3A (H3F3A)-mutant tumours in paediatric glioma. We evaluated their prognostic potential and feasibility for identifying H3F3A-mutant tumours among IDH-mutant/wild-type gliomas. METHODS Immunohistochemistry of FoxG1/Olig-2 and α-thalassaemia/mental-retardation-syndrome-X-linked gene (ATRX) in 471 cases of diffuse gliomas and molecular determination of IDH, H3F3A, MGMT and 1p/19 codeletion status. RESULTS Mean percentage of FoxG1-positive tumour cells increased from 17% in WHO grade II to over 21% in grade III to 37% in grade IV tumours, whereas mean Olig-2 indices decreased from 29% to 28% to 17% respectively. FoxG1 indices were similar in astrocytic and oligodendroglial tumours, whereas Olig-2 indices were increased in oligodendrogliomas compared to astrocytic tumours (n = 451, P < 0.0001). FoxG1-positive nuclei were significantly reduced in IDH and H3F3A K27-mutant tumours, whereas Olig-2-positive nuclei were significantly reduced in IDH-wild-type and H3F3A G34-mutant tumours. Among IDH-mutant tumours, mean Olig-2 index was significantly higher in 1p/19q codeleted tumours (mean: 43%) compared to IDH-mutant tumours with ATRX loss (mean: 23%, P < 0.0001). A significantly better outcome was first suggested for FoxG1low tumours (n = 212, log rank P = 0.0132) and Olig-2high tumours (n = 203, log-rank P = 0.0011) based on classification and regression tree determined cutoffs, but this was not confirmed by multivariate analysis including IDH mutation, WHO grade, ATRX status and age. CONCLUSIONS While the combined FoxG1/Olig-2 profile may discriminate H3F3A K27- and G34-mutant tumours and define a prognostically favourable subset in IDH-mutant gliomas, our data show that labelling indices of these transcription factors overlap with adult IDH-mutant and wild-type tumour classes.
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Affiliation(s)
- S Schäfer
- Department of Neuropathology, Institute of Pathology and Neuropathology, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - F Behling
- Department of Neurosurgery, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Center for CNS Tumors, Comprehensive Cancer Center Tuebingen-Stuttgart, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - M Skardelly
- Department of Neurosurgery, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Center for CNS Tumors, Comprehensive Cancer Center Tuebingen-Stuttgart, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - M Koch
- Center for CNS Tumors, Comprehensive Cancer Center Tuebingen-Stuttgart, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Interdisciplinary Division of Neurooncology, Departments of Vascular Neurology & Neurosurgery, Hertie Institute for Clinical Brain Research, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Center for Personalized Medicine, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,German Consortium for Translational Cancer Research (DKTK), DKFZ partner site Tuebingen, Tuebingen, Germany
| | - I Ott
- Department of Neuropathology, Institute of Pathology and Neuropathology, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - F Paulsen
- Center for CNS Tumors, Comprehensive Cancer Center Tuebingen-Stuttgart, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Department of Radiation Oncology, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - G Tabatabai
- Center for CNS Tumors, Comprehensive Cancer Center Tuebingen-Stuttgart, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Interdisciplinary Division of Neurooncology, Departments of Vascular Neurology & Neurosurgery, Hertie Institute for Clinical Brain Research, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Center for Personalized Medicine, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,German Consortium for Translational Cancer Research (DKTK), DKFZ partner site Tuebingen, Tuebingen, Germany
| | - J Schittenhelm
- Department of Neuropathology, Institute of Pathology and Neuropathology, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Center for CNS Tumors, Comprehensive Cancer Center Tuebingen-Stuttgart, University Hospital of Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany
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21
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Thom M, Liu J, Bongaarts A, Reinten RJ, Paradiso B, Jäger HR, Reeves C, Somani A, An S, Marsdon D, McEvoy A, Miserocchi A, Thorne L, Newman F, Bucur S, Honavar M, Jacques T, Aronica E. Multinodular and vacuolating neuronal tumors in epilepsy: dysplasia or neoplasia? Brain Pathol 2017; 28:155-171. [PMID: 28833756 PMCID: PMC5887881 DOI: 10.1111/bpa.12555] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 06/27/2017] [Accepted: 08/01/2017] [Indexed: 12/28/2022] Open
Abstract
Multinodular and vacuolating neuronal tumor (MVNT) is a new pattern of neuronal tumour included in the recently revised WHO 2016 classification of tumors of the CNS. There are 15 reports in the literature to date. They are typically associated with late onset epilepsy and a neoplastic vs. malformative biology has been questioned. We present a series of ten cases and compare their pathological and genetic features to better characterized epilepsy‐associated malformations including focal cortical dysplasia type II (FCDII) and low‐grade epilepsy‐associated tumors (LEAT). Clinical and neuroradiology data were reviewed and a broad immunohistochemistry panel was applied to explore neuronal and glial differentiation, interneuronal populations, mTOR pathway activation and neurodegenerative changes. Next generation sequencing was performed for targeted multi‐gene analysis to identify mutations common to epilepsy lesions including FCDII and LEAT. All of the surgical cases in this series presented with seizures, and were located in the temporal lobe. There was a lack of any progressive changes on serial pre‐operative MRI and a mean age at surgery of 45 years. The vacuolated cells of the lesion expressed mature neuronal markers (neurofilament/SMI32, MAP2, synaptophysin). Prominent labelling of the lesional cells for developmentally regulated proteins (OTX1, TBR1, SOX2, MAP1b, CD34, GFAPδ) and oligodendroglial lineage markers (OLIG2, SMI94) was observed. No mutations were detected in the mTOR pathway genes, BRAF, FGFR1 or MYB. Clinical, pathological and genetic data could indicate that MVNT aligns more with a malformative lesion than a true neoplasm with origin from a progenitor neuro‐glial cell type showing aberrant maturation.
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Affiliation(s)
- Maria Thom
- Departments of Clinical and Experimental Epilepsy and Neuropathology, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London WCN1BG, UK
| | - Joan Liu
- Departments of Clinical and Experimental Epilepsy and Neuropathology, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London WCN1BG, UK
| | - Anika Bongaarts
- Department of (Neuro)Pathology, Academic Medical Center, Amsterdam, The Netherlands
| | - Roy J Reinten
- Department of (Neuro)Pathology, Academic Medical Center, Amsterdam, The Netherlands
| | - Beatrice Paradiso
- Departments of Clinical and Experimental Epilepsy and Neuropathology, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London WCN1BG, UK.,Cardiovascular Pathology Unit, Department of Cardiac, Thoracic and Vascular Sciences University of Padua Medical School, Padova, Italy
| | - Hans Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Cheryl Reeves
- Departments of Clinical and Experimental Epilepsy and Neuropathology, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London WCN1BG, UK
| | - Alyma Somani
- Departments of Clinical and Experimental Epilepsy and Neuropathology, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London WCN1BG, UK
| | - Shu An
- Departments of Clinical and Experimental Epilepsy and Neuropathology, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London WCN1BG, UK
| | - Derek Marsdon
- Departments of Clinical and Experimental Epilepsy and Neuropathology, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, Queen Square, London WCN1BG, UK
| | - Andrew McEvoy
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - Anna Miserocchi
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - Lewis Thorne
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - Fay Newman
- Neurosurgery Department, Brighton and Sussex University Hospitals, Brighton, UK
| | - Sorin Bucur
- Neurosurgery Department, Brighton and Sussex University Hospitals, Brighton, UK
| | - Mrinalini Honavar
- Department of Anatomic Pathology, Hospital Pedro Hispano, Matosinhos, Portugal
| | - Tom Jacques
- Neuropathology Department, Great Ormond Street Hospital, London, UK
| | - Eleonora Aronica
- Department of (Neuro)Pathology, Academic Medical Center, Amsterdam, The Netherlands.,Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
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22
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Climbing Brain Levels of Organisation from Genes to Consciousness. Trends Cogn Sci 2017; 21:168-181. [PMID: 28161289 DOI: 10.1016/j.tics.2017.01.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 12/24/2016] [Accepted: 01/04/2017] [Indexed: 12/24/2022]
Abstract
Given the tremendous complexity of brain organisation, here I propose a strategy that dynamically links stages of brain organisation from genes to consciousness, at four privileged structural levels: genes; transcription factors (TFs)-gene networks; synaptic epigenesis; and long-range connectivity. These structures are viewed as nested and reciprocally inter-regulated, with a hierarchical organisation that proceeds on different timescales during the course of evolution and development. Interlevel bridging mechanisms include intrinsic variation-selection mechanisms, which offer a community of bottom-up and top-down models linking genes to consciousness in a stepwise manner.
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