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Nurminen R, Afyounian E, Paunu N, Katainen R, Isomäki M, Nurminen A, Scaravilli M, Tolppanen J, Fey V, Kivinen A, Helén P, Välimäki N, Kesseli J, Aaltonen LA, Haapasalo H, Nykter M, Rautajoki KJ. Previously reported CCDC26 risk variant and novel germline variants in GALNT13, AR, and MYO10 associated with familial glioma in Finland. Sci Rep 2024; 14:11562. [PMID: 38773237 PMCID: PMC11109329 DOI: 10.1038/s41598-024-62296-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/15/2024] [Indexed: 05/23/2024] Open
Abstract
Predisposing factors underlying familial aggregation of non-syndromic gliomas are still to be uncovered. Whole-exome sequencing was performed in four Finnish families with brain tumors to identify rare predisposing variants. A total of 417 detected exome variants and 102 previously reported glioma-related variants were further genotyped in 19 Finnish families with brain tumors using targeted sequencing. Rare damaging variants in GALNT13, MYO10 and AR were identified. Two families carried either c.553C>T (R185C) or c.1214T>A (L405Q) on GALNT13. Variant c.553C>T is located on the substrate-binding site of GALNT13. AR c.2180G>T (R727L), which is located on a ligand-binding domain of AR, was detected in two families, one of which also carried a GALNT13 variant. MYO10 c.4448A>G (N1483S) was detected in two families and c.1511C>T (A504V) variant was detected in one family. Both variants are located on functional domains related to MYO10 activity in filopodia formation. In addition, affected cases in six families carried a known glioma risk variant rs55705857 in CCDC26 and low-risk glioma variants. These novel findings indicate polygenic inheritance of familial glioma in Finland and increase our understanding of the genetic contribution to familial glioma susceptibility.
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Affiliation(s)
- Riikka Nurminen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Ebrahim Afyounian
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Niina Paunu
- Department of Oncology, Tampere University Hospital, Tampere, Finland
| | - Riku Katainen
- Applied Tumor Genomics Research Program, Department of Medical and Clinical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Mari Isomäki
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Anssi Nurminen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Mauro Scaravilli
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Jenni Tolppanen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Vidal Fey
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Anni Kivinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Pauli Helén
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Niko Välimäki
- Applied Tumor Genomics Research Program, Department of Medical and Clinical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Juha Kesseli
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
| | - Lauri A Aaltonen
- Applied Tumor Genomics Research Program, Department of Medical and Clinical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hannu Haapasalo
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland
- Fimlab Laboratories ltd., Tampere University Hospital, Tampere, Finland
| | - Matti Nykter
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland.
- Foundation for the Finnish Cancer Institute, Tukholmankatu 8, Helsinki, Finland.
| | - Kirsi J Rautajoki
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
- Tays Cancer Center, Tampere University Hospital, Tampere, Finland.
- Tampere Institute for Advanced Study, Tampere University, Tampere, Finland.
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Paus T. Population Neuroscience: Principles and Advances. Curr Top Behav Neurosci 2024. [PMID: 38589637 DOI: 10.1007/7854_2024_474] [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: 04/10/2024]
Abstract
In population neuroscience, three disciplines come together to advance our knowledge of factors that shape the human brain: neuroscience, genetics, and epidemiology (Paus, Human Brain Mapping 31:891-903, 2010). Here, I will come back to some of the background material reviewed in more detail in our previous book (Paus, Population Neuroscience, 2013), followed by a brief overview of current advances and challenges faced by this integrative approach.
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Affiliation(s)
- Tomáš Paus
- Department of Psychiatry and Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
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Choi DJ, Armstrong G, Lozzi B, Vijayaraghavan P, Plon SE, Wong TC, Boerwinkle E, Muzny DM, Chen HC, Gibbs RA, Ostrom QT, Melin B, Deneen B, Bondy ML, Bainbridge MN. The genomic landscape of familial glioma. SCIENCE ADVANCES 2023; 9:eade2675. [PMID: 37115922 PMCID: PMC10146888 DOI: 10.1126/sciadv.ade2675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 03/22/2023] [Indexed: 05/03/2023]
Abstract
Glioma is a rare brain tumor with a poor prognosis. Familial glioma is a subset of glioma with a strong genetic predisposition that accounts for approximately 5% of glioma cases. We performed whole-genome sequencing on an exploratory cohort of 203 individuals from 189 families with a history of familial glioma and an additional validation cohort of 122 individuals from 115 families. We found significant enrichment of rare deleterious variants of seven genes in both cohorts, and the most significantly enriched gene was HERC2 (P = 0.0006). Furthermore, we identified rare noncoding variants in both cohorts that were predicted to affect transcription factor binding sites or cause cryptic splicing. Last, we selected a subset of discovered genes for validation by CRISPR knockdown screening and found that DMBT1, HP1BP3, and ZCH7B3 have profound impacts on proliferation. This study performs comprehensive surveillance of the genomic landscape of familial glioma.
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Affiliation(s)
- Dong-Joo Choi
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Georgina Armstrong
- Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Brittney Lozzi
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | | | - Sharon E. Plon
- Department of Pediatrics/Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Terence C. Wong
- Rady Children’s Institute for Genomic Medicine, San Diego, CA, USA
| | - Eric Boerwinkle
- The University of Texas Health Science Center School of Public Health, Houston, TX, USA
| | - Donna M. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Hsiao-Chi Chen
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Quinn T. Ostrom
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Benjamin Deneen
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Melissa L. Bondy
- Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - The Gliogene Consortium
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
- Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Rady Children’s Institute for Genomic Medicine, San Diego, CA, USA
- Department of Pediatrics/Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- The University of Texas Health Science Center School of Public Health, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Genomics England Research Consortium
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
- Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Rady Children’s Institute for Genomic Medicine, San Diego, CA, USA
- Department of Pediatrics/Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- The University of Texas Health Science Center School of Public Health, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
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Shobeiri P, Seyedmirzaei H, Kalantari A, Mohammadi E, Rezaei N, Hanaei S. The Epidemiology of Brain and Spinal Cord Tumors. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1394:19-39. [PMID: 36587379 DOI: 10.1007/978-3-031-14732-6_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
CNS tumors are a diverse group of neoplasms that emerge from a variety of different CNS cell types. These tumors may be benign, malignant, or borderline in nature. The majority of high grade glial tumors are fatal, with the exception of pilocytic astrocytoma. Primary malignant CNS tumors occur at a global annual rate of 2.1 to 5.8 per 100,000 persons. Males are more likely to develop malignant brain tumors than females, whereas benign meningiomas are more common in adult females. Additionally, gender inequalities in non-malignant tumors peak between the ages of 25 and 29 years. Only a small number of genetic variants have been associated with survival and prognosis. Notably, central nervous system (CNS) tumors exhibit significant age, gender, and race variation. Race is another factor that affects the incidence of brain and spinal cord tumors. Different races exhibit variation in terms of the prevalence of brain and CNS malignancies. This chapter discusses ongoing research on brain and spinal cord tumor epidemiology, as well as the associated risks and accompanied disorders.
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Affiliation(s)
- Parnian Shobeiri
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Homa Seyedmirzaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Amirali Kalantari
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Esmaeil Mohammadi
- Department of Pediatric Neurosurgery, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Sara Hanaei
- Department of Neurosurgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
- Universal Scientific Education and Research Network (USERN), Tehran, Iran.
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Francis SS, Ostrom QT, Cote DJ, Smith TR, Claus E, Barnholtz-Sloan JS. The Epidemiology of Central Nervous System Tumors. Hematol Oncol Clin North Am 2022; 36:23-42. [PMID: 34801162 DOI: 10.1016/j.hoc.2021.08.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
This article reviews the current epidemiology of central nervous system tumors. Population-level basic epidemiology, nationally and internationally, and current understanding of germline genetic risk are discussed, with a focus on known and well-studied risk factors related to the etiology of central nervous system tumors.
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Affiliation(s)
- Stephen S Francis
- Department of Neurological Surgery, Division of Neuro and Molecular Epidemiology, University of California San Francisco School of Medicine, 1450 3rd Street, HD442, San Francisco, CA 94158, USA.
| | - Quinn T Ostrom
- Department of Neurosurgery, Duke University School of Medicine, 571 Research Drive, MSRB-1, Rm 442, Durham, NC 27710, USA
| | - David J Cote
- Department of Neurosurgery, Keck School of Medicine, University of Southern California, 1200 N State Street, Suite 3300, Los Angeles, CA 90033, USA
| | - Timothy R Smith
- Department of Neurosurgery, Computational Neuroscience Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Avenue, Boston, MA 02115, USA
| | - Elizabeth Claus
- Department of Neurosurgery, Yale University, Yale School of Public Health, Brigham and Women's Hospital, 60 College Street, New Haven, CT 06510, USA
| | - Jill S Barnholtz-Sloan
- Center for Biomedical Informatics and Information Technology, Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), NCI Shady Grove, 9609 Medical Center Dr, Rockville, MD 20850, USA
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6
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Sun S, Li X, Qu B, Xie K, Li J, Miao J. Association of the VEGFR2 single nucleotide polymorphism rs2305948 with glioma risk. Medicine (Baltimore) 2022; 101:e28454. [PMID: 35029892 PMCID: PMC8735747 DOI: 10.1097/md.0000000000028454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 12/06/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Many studies have reported a relationship between the vascular endothelial growth factor receptor 2 single nucleotide polymorphism (SNP) rs2305948 and glioma, but their conclusions have been controversial. A meta-analysis was performed to assess the association between rs2305948 and glioma susceptibility. METHODS Inclusion criteria and a strategy for screening of original literature were created. Eligible articles on the correlation between the SNP rs2305948 and glioma were identified in the PubMed, Embase, Web of Science, Cochrane Library, CNKI and Wanfang databases. After extracting the data, Stata 12. 0 software was used to perform statistical analysis under 5 genetic models and to calculate the combined odds ratio (OR) value and its 95% confidence interval (CI). RESULTS Four case-control studies including 1595 cases and 1657 controls were entered into the study. The overall analysis showed that no obvious association existed between rs2305948 and glioma risk (allele: OR = 1.20, 95% CI = 0.93-1.54, P = .162; dominant: OR = 1.17, 95% CI = 0.93-1.46, P = .174; recessive: OR = 1.72, 95% CI = 0.94-3.15, P = .076; heterozygous: OR = 1.11, 95% CI = 0.94-1.30, P = .226; homozygous: OR = 1.74, 95% CI = 0.92-3.29, P = .088). The subgroup analysis suggested that the SNP rs2305948 was related to glioma susceptibility under allele, dominant, recessive and homozygote models in the Asian population (allele: OR = 1.34, 95% CI = 1.16-1.55, P < .001; recessive: OR = 2.24, 95% CI = 1.49-3.36, P < .001; homozygous: OR = 2.32, 95% CI = 1.54-3.50, P < .001). CONCLUSION The vascular endothelial growth factor receptor 2 rs2305948 gene polymorphism may be related to glioma susceptibility in the Asian population. However, the association is not clear in non-Asian populations, for which there has been less research.
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Affiliation(s)
- Shushu Sun
- Department of Infectious Diseases, Weifang People's Hospital, Weifang, China
| | - Xiaotian Li
- Department of Neurosurgery, Weifang People's Hospital, Weifang, China
| | - Bingkun Qu
- Department of Neurosurgery, Weifang People's Hospital, Weifang, China
| | - Kunming Xie
- Department of Neurosurgery, Weifang People's Hospital, Weifang, China
| | - Jinlei Li
- Department of Neurosurgery, Weifang People's Hospital, Weifang, China
| | - Junjie Miao
- Department of Neurosurgery, Weifang People's Hospital, Weifang, China
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Cannon-Albright LA, Farnham JM, Stevens J, Teerlink CC, Palmer CA, Rowe K, Cessna MH, Blumenthal DT. Genome-wide analysis of high-risk primary brain cancer pedigrees identifies PDXDC1 as a candidate brain cancer predisposition gene. Neuro Oncol 2021; 23:277-283. [PMID: 32644145 PMCID: PMC7906047 DOI: 10.1093/neuonc/noaa161] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND There is evidence for an inherited contribution to primary brain cancer. Linkage analysis of high-risk brain cancer pedigrees has identified candidate regions of interest in which brain cancer predisposition genes are likely to reside. METHODS Genome-wide linkage analysis was performed in a unique set of 11 informative, extended, high-risk primary brain cancer pedigrees identified in a population genealogy database, which include from 2 to 6 sampled, related primary brain cancer cases. Access to formalin-fixed paraffin embedded tissue samples archived in a biorepository allowed analysis of extended pedigrees. RESULTS Individual high-risk pedigrees were singly informative for linkage at multiple regions. Suggestive evidence for linkage was observed on chromosomes 2, 3, 14, and 16. The chromosome 16 region in particular contains a promising candidate gene, pyridoxal-dependent decarboxylase domain-containing 1 (PDXDC1), with prior evidence for involvement with glioblastoma from other previously reported experimental settings, and contains the lead single nucleotide polymorphism (rs3198697) from the linkage analysis of the chromosome 16 region. CONCLUSIONS Pedigrees with a statistical excess of primary brain cancers have been identified in a unique genealogy resource representing the homogeneous Utah population. Genome-wide linkage analysis of these pedigrees has identified a potential candidate predisposition gene, as well as multiple candidate regions that could harbor predisposition loci, and for which further analysis is suggested.
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Affiliation(s)
- Lisa A Cannon-Albright
- Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.,George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - James M Farnham
- Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Jeffrey Stevens
- Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Craig C Teerlink
- Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Cheryl A Palmer
- Huntsman Cancer Institute, Salt Lake City, Utah, USA.,Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, USA.,ARUP Laboratories, Salt Lake City, Utah, USA
| | - Kerry Rowe
- Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Melissa H Cessna
- Intermountain Healthcare, Salt Lake City, Utah, USA.,Intermountain Biorepository and Department of Pathology, Intermountain Healthcare, Salt Lake City, Utah, USA
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8
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Vasilica AM, Sefcikova V, Samandouras G. Genetic alterations in non-syndromic, familial gliomas in first degree relatives: A systematic review. Clin Neurol Neurosurg 2020; 198:106222. [PMID: 33039851 DOI: 10.1016/j.clineuro.2020.106222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/29/2020] [Accepted: 09/06/2020] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Despite numerous reports in syndromic gliomas, the underlying genetic and molecular basis of familial, non-syndromic gliomas, in first degree relatives, remains unclear. This rare cohort of patients harboring invasive primary brain tumors with poor prognosis may provide a potential substrate of understanding the complex genetic cascade triggering tumorigenesis. METHODS A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) 2015 and The Cochrane Handbook of Systematic Reviews of Interventions. PubMed/MEDLINE, Embase and CENTRAL databases were accessed with set inclusion and exclusion criteria. RESULTS Following returns of 6756 articles, systematic analysis resulted in 48 papers, with 18 case series, 4 linkage analysis, 3 case-control studies, 1 cohort study, and 22 case reports. A total of 164 first degree relatives of 72 families were analyzed. The most common genetic alterations associated with non-syndromic familial gliomas reported to affect chromosomes 17 (51.1 % germline and 9.3 % tumor mutations), 22 (15.6 % germline and 6 % tumor mutations) and 1 and 19 (4.4 % germline and 9.3 % tumor mutations), with the most commonly affected genes TP53 (8.5 %) and NF2 (3.7 %). Tumor suppressors or cell-cycle regulators, cell signaling and transcription regulation or methylation were the most common gene function categories. CONCLUSION Four specific chromosomes (17, 22, 1 and 19) and two specific genes (TP53 and NF2) appear to be most commonly involved. This appears to be the first systematic review of genetic factors underlying non-syndromic glioma clustering in families. The defined list of genetic abnormalities, linked to familial gliomas, may facilitate therapeutic targets and future treatment design.
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Affiliation(s)
| | - Viktoria Sefcikova
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London, United Kingdom.
| | - George Samandouras
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London, United Kingdom; Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom.
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9
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Birch JL, Coull BJ, Spender LC, Watt C, Willison A, Syed N, Chalmers AJ, Hossain-Ibrahim MK, Inman GJ. Multifaceted transforming growth factor-beta (TGFβ) signalling in glioblastoma. Cell Signal 2020; 72:109638. [PMID: 32320860 DOI: 10.1016/j.cellsig.2020.109638] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 04/13/2020] [Accepted: 04/14/2020] [Indexed: 12/15/2022]
Abstract
Glioblastoma (GBM) is an aggressive and devastating primary brain cancer which responds very poorly to treatment. The average survival time of patients is only 14-15 months from diagnosis so there is a clear and unmet need for the development of novel targeted therapies to improve patient outcomes. The multifunctional cytokine TGFβ plays fundamental roles in development, adult tissue homeostasis, tissue wound repair and immune responses. Dysfunction of TGFβ signalling has been implicated in both the development and progression of many tumour types including GBM, thereby potentially providing an actionable target for its treatment. This review will examine TGFβ signalling mechanisms and their role in the development and progression of GBM. The targeting of TGFβ signalling using a variety of approaches including the TGFβ binding protein Decorin will be highlighted as attractive therapeutic strategies.
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Affiliation(s)
| | - Barry J Coull
- Division of Cellular and Molecular Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Lindsay C Spender
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Courtney Watt
- Division of Cellular and Molecular Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Alice Willison
- Division of Cellular and Molecular Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Nelofer Syed
- The John Fulcher Molecular Neuro-Oncology Laboratory, Division of Brain Sciences, Imperial College London, London, UK
| | | | - M Kismet Hossain-Ibrahim
- Division of Cellular and Molecular Medicine, School of Medicine, University of Dundee, Dundee, UK; Department of Neurosurgery, Ninewells Hospital and Medical School, NHS Tayside, Dundee, UK
| | - Gareth J Inman
- CRUK Beatson Institute, Glasgow, UK; Division of Cellular and Molecular Medicine, School of Medicine, University of Dundee, Dundee, UK; Institute of Cancer Sciences, University of Glasgow, Glasgow, UK.
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Wang C, Huang S, Rao S, Hu J, Zhang Y, Luo J, Wang H. Decreased expression of miR-410-3p correlates with poor prognosis and tumorigenesis in human glioma. Cancer Manag Res 2019; 11:10581-10592. [PMID: 31908530 PMCID: PMC6927686 DOI: 10.2147/cmar.s202247] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 04/30/2019] [Indexed: 11/23/2022] Open
Abstract
Background Gliomas are the most common type of primary tumors in the central nervous system. This study aimed to investigate the biological role of miR-410-3p in glioma and elucidate the potential molecular mechanisms involved. Methods The expression levels of miR-410-3p in clinical tissue samples and glioma cell lines were determined using qRT-PCR analysis. The clinical significance of miR-410-3p in glioma was evaluated using Kaplan-Meier survival analysis and Fisher’s exact test. The effects of miR-410-3p on glioma cell proliferation, apoptosis, migration and invasion were investigated using MTT assays, flow cytometry, transwell migration and invasion assays. Besides, corresponding mechanistic studies were carried out. Results miR-410-3p was significantly down-regulated in glioma tissues. Besides, Kaplan-Meier analysis demonstrated that patients with low miR-410-3p expression had a shorter overall survival. Decreased miR-410-3p expression was associated with larger tumor size, lower Karnofsky performance score (KPS), and higher World Health Organization (WHO) grade. Over-expression of miR-410-3p suppressed cell proliferation, migration, and invasion, and accelerated apoptosis; whereas depletion of miR-410-3p facilitated cell proliferation, migration, and invasion, and inhibited apoptosis. Mechanistic investigations demonstrated that Ras-related protein 1A (RAP1A) was a direct target of miR-410-3p, and that rescue of RAP1A expression reversed miR-410-3p over-expression-induced inhibitory effects on cell proliferation, migration, and invasion. Notably, miR-410-3p over-expression repressed tumor growth in mouse xenograft models. Conclusion Our findings indicate that miR-410-3p functions as a tumor suppressor in glioma by directly targeting RAP1A. Thus, this study may provide some new insights into gliomagenesis and progression.
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Affiliation(s)
- Chaojia Wang
- Department of Neurology, Taihe Affiliated Hospital, Hubei University of Medicine, Shiyan 442000, People's Republic of China
| | - Shulan Huang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan 430060, People's Republic of China
| | - Shanshan Rao
- Department of Neurology, Taihe Affiliated Hospital, Hubei University of Medicine, Shiyan 442000, People's Republic of China
| | - Juntao Hu
- Department of Neurology, Taihe Affiliated Hospital, Hubei University of Medicine, Shiyan 442000, People's Republic of China
| | - Yuqiang Zhang
- Department of Neurology, Taihe Affiliated Hospital, Hubei University of Medicine, Shiyan 442000, People's Republic of China
| | - Jie Luo
- Department of Neurology, Taihe Affiliated Hospital, Hubei University of Medicine, Shiyan 442000, People's Republic of China
| | - Hui Wang
- Department of Neurology, Taihe Affiliated Hospital, Hubei University of Medicine, Shiyan 442000, People's Republic of China
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11
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Molinaro AM, Taylor JW, Wiencke JK, Wrensch MR. Genetic and molecular epidemiology of adult diffuse glioma. Nat Rev Neurol 2019; 15:405-417. [PMID: 31227792 PMCID: PMC7286557 DOI: 10.1038/s41582-019-0220-2] [Citation(s) in RCA: 409] [Impact Index Per Article: 81.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2019] [Indexed: 12/24/2022]
Abstract
The WHO 2007 glioma classification system (based primarily on tumour histology) resulted in considerable interobserver variability and substantial variation in patient survival within grades. Furthermore, few risk factors for glioma were known. Discoveries over the past decade have deepened our understanding of the molecular alterations underlying glioma and have led to the identification of numerous genetic risk factors. The advances in molecular characterization of glioma have reframed our understanding of its biology and led to the development of a new classification system for glioma. The WHO 2016 classification system comprises five glioma subtypes, categorized by both tumour morphology and molecular genetic information, which led to reduced misclassification and improved consistency of outcomes within glioma subtypes. To date, 25 risk loci for glioma have been identified and several rare inherited mutations that might cause glioma in some families have been discovered. This Review focuses on the two dominant trends in glioma science: the characterization of diagnostic and prognostic tumour markers and the identification of genetic and other risk factors. An overview of the many challenges still facing glioma researchers is also included.
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Affiliation(s)
- Annette M Molinaro
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
| | - Jennie W Taylor
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Institute of Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Margaret R Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Institute of Human Genetics, University of California, San Francisco, San Francisco, CA, USA
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12
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Hummel S, Kohlmann W, Kollmeyer TM, Jenkins R, Sonnen J, Palmer CA, Colman H, Abbott D, Cannon-Albright L, Cohen AL. The contribution of the rs55705857 G allele to familial cancer risk as estimated in the Utah population database. BMC Cancer 2019; 19:190. [PMID: 30823903 PMCID: PMC6397494 DOI: 10.1186/s12885-019-5381-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 02/19/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND IDH1/2 mutated glioma has been associated with a germline risk variant, the rs55705857 G allele. The Utah Population Database (UPDB), a computerized genealogy of people in Utah, is a unique resource to evaluate cancer risk in related individuals. METHODS One hundred and two individuals with IDH1/2 mutant or 1p/19q co-deleted glioma were genotyped and linked to the UPDB. DNA came from blood (21), tumor tissue (43), or both (38). We determined congruence between somatic and germline samples and estimated the relative risk for developing cancer to first and second-degree relatives of G and A allele carriers at rs55705857. RESULTS Somatic (glioma) DNA had 85.7% sensitivity (CI 57.2-98.2%) and 95.8% specificity (CI 78.9-99.89%) for germline rs55705857 G allele. Forty-one patients were linked to pedigrees in the UPDB with at least three generations of data. First-degree relatives of rs55705857 G allele carriers were at significantly increased risk for developing cancer (RR = 1.72, p = 0.045, CI 1.02-2.94), and specifically for oligodendroglioma (RR = 57.61, p = 0.017, CI 2.96-320.98) or prostate cancer (RR = 4.10, p = 0.008, CI 1.62-9.58); relatives of individuals without the G allele were not at increased risk. Second-degree relatives of G allele carriers also had significantly increased risk for developing cancer (RR = 1.50, p = 0.007, CI 1.15-2.01). CONCLUSIONS Tumor DNA may approximate genotype at the rs55705857 locus. We confirmed this locus confers an increased risk of all cancers and especially of oligodendroglioma. No increased cancer or brain tumor risk is seen in family members of individuals without the high-risk G allele.
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Grants
- P30 CA042014 NCI NIH HHS
- Contract No. HHSN261201300017I Utah Cancer Registry, National Cancer Institute's SEER, Utah State Department of Health, University of Utah
- P30CA42014 Huntsman Cancer Institute, Huntsman Cancer Foundation, University of Utah, and National Cancer Institute of the NIH
- NA/Student Research University of Utah School of Medicine, Department of Human Genetics/Pediatric Division of Medical Genetics, Graduate Program in Genetic Counseling
- Utah Cancer Registry, National Cancer Institute’s SEER, Utah State Department of Health, University of Utah
- University of Utah School of Medicine, Department of Human Genetics/Pediatric Division of Medical Genetics, Graduate Program in Genetic Counseling
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Affiliation(s)
- Sarah Hummel
- Department of Human Genetics/Pediatric Division of Medical Genetics, Graduate Program in Genetic Counseling, University of Utah School of Medicine, 15 North 2030 East, Salt Lake City, 84112 Utah USA
| | - Wendy Kohlmann
- Department of Population Sciences, University of Utah School of Medicine, Huntsman Cancer Institute, Salt Lake City, Utah USA
| | - Thomas M. Kollmeyer
- The Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, Minnesota USA
| | - Robert Jenkins
- The Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, Minnesota USA
| | - Joshua Sonnen
- Division of Anatomic Pathology, University of Utah School of Medicine, Salt Lake City, Utah USA
| | - Cheryl A. Palmer
- Division of Anatomic Pathology, University of Utah School of Medicine, Salt Lake City, Utah USA
| | - Howard Colman
- Department of Neurosurgery, University of Utah School of Medicine, Huntsman Cancer Institute, Salt Lake City, Utah USA
| | - Diana Abbott
- Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah USA
| | - Lisa Cannon-Albright
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah USA
- Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah USA
| | - Adam L. Cohen
- Division of Oncology, University of Utah School of Medicine, Huntsman Cancer Institute, Salt Lake City, Utah USA
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13
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Abstract
Incidence, prevalence, and survival for diffuse low-grade gliomas and diffuse anaplastic gliomas (including grade II and grade III astrocytomas and oligodendrogliomas) varies by histologic type, age at diagnosis, sex, and race/ethnicity. Significant progress has been made in identifying potential risk factors for glioma, although more research is warranted. The strongest risk factors that have been identified thus far include allergies/atopic disease, ionizing radiation, and heritable genetic factors. Further analysis of large, multicenter epidemiologic studies, and well-annotated "omic" datasets, can potentially lead to further understanding of the relationship between gene and environment in the process of brain tumor development.
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Affiliation(s)
- Luc Bauchet
- Department of Neurosurgery, Montpellier University Medical Center, National Institute for Health and Medical Research (INSERM), U1051, Hôpital Gui de Chauliac, Centre Hospitalo-Universitaire, 80 Avenue Augustin Fliche, Montpellier, France
| | - Quinn T Ostrom
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030-3498, USA.
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14
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Abstract
Incidence, prevalence, and survival for brain tumors varies by histologic type, age at diagnosis, sex, and race/ethnicity. Significant progress has been made in identifying potential risk factors for brain tumors, although more research is warranted. The strongest risk factors that have been identified thus far include allergies/atopic disease, ionizing radiation, and heritable genetic factors. Further analysis of large, multicenter, epidemiologic studies, as well as well annotated omic datasets (including genomic, epigenomic, transcriptomic, proteomic, or metabolomics data) can potentially lead to further understanding of the relationship between gene and environment in the process of brain tumor development.
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15
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Ruiz VY, Praska CE, Armstrong G, Kollmeyer TM, Yamada S, Decker PA, Kosel ML, Eckel-Passow JE, Lachance DH, Bainbridge MN, Melin BS, Bondy ML, Jenkins RB. Molecular subtyping of tumors from patients with familial glioma. Neuro Oncol 2018; 20:810-817. [PMID: 29040662 PMCID: PMC5961123 DOI: 10.1093/neuonc/nox192] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background Single-gene mutation syndromes account for some familial glioma (FG); however, they make up only a small fraction of glioma families. Gliomas can be classified into 3 major molecular subtypes based on isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion. We hypothesized that the prevalence of molecular subtypes might differ in familial versus sporadic gliomas and that tumors in the same family should have the same molecular subtype. Methods Participants in the FG study (Gliogene) provided samples for germline DNA analysis. Formalin-fixed, paraffin-embedded tumors were obtained from a subset of FG cases, and DNA was extracted. We analyzed tissue from 75 families, including 10 families containing a second affected family member. Copy number variation data were obtained using a first-generation Affymetrix molecular inversion probe (MIP) array. Results Samples from 62 of 75 (83%) FG cases could be classified into the 3 subtypes. The prevalence of the molecular subtypes was: 30 (48%) IDH-wildtype, 21 (34%) IDH-mutant non-codeleted, and 11 (19%) IDH-mutant and 1p/19q codeleted. This distribution of molecular subtypes was not statistically different from that of sporadic gliomas (P = 0.54). Of 10 paired FG samples, molecular subtypes were concordant for 7 (κ = 0.59): 3 IDH-mutant non-codeleted, 2 IDH-wildtype, and 2 IDH-mutant and 1p/19q codeleted gliomas. Conclusions Our data suggest that within individual families, patients develop gliomas of the same molecular subtype. However, we did not observe differences in the prevalence of the molecular subtypes in FG compared with sporadic gliomas. These observations provide further insight into the distribution of molecular subtypes in FG.
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Affiliation(s)
- Vanessa Y Ruiz
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Corinne E Praska
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Georgina Armstrong
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Seiji Yamada
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Paul A Decker
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Matthew L Kosel
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Jeanette E Eckel-Passow
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Daniel H Lachance
- Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Matthew N Bainbridge
- Rady Children’s Institute for Genomic Medicine, Rady Children’s Hospital, San Diego, California, USA
| | - Beatrice S Melin
- Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Melissa L Bondy
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
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16
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Michaeli O, Tabori U. Pediatric High Grade Gliomas in the Context of Cancer Predisposition Syndromes. J Korean Neurosurg Soc 2018; 61:319-332. [PMID: 29742882 PMCID: PMC5957320 DOI: 10.3340/jkns.2018.0031] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 03/08/2018] [Accepted: 03/08/2018] [Indexed: 12/21/2022] Open
Abstract
Germline mutations in cancer causing genes result in high risk of developing cancer throughout life. These cancer predisposition syndromes (CPS) are especially prevalent in childhood brain tumors and impact both the patient’s and other family members’ survival. Knowledge of specific CPS may alter the management of the cancer, offer novel targeted therapies which may improve survival for these patients, and enables early detection of other malignancies. This review focuses on the role of CPS in pediatric high grade gliomas (PHGG), the deadliest group of childhood brain tumors. Genetic aspects and clinical features are depicted, allowing clinicians to identify and diagnose these syndromes. Challenges in the management of PHGG in the context of each CPS and the promise of innovative options of treatment and surveillance guidelines are discussed with the hope of improving outcome for individuals with these devastating syndromes.
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Affiliation(s)
- Orli Michaeli
- Division of Hematology/Oncology, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Uri Tabori
- Division of Hematology/Oncology, The Hospital for Sick Children, University of Toronto, Toronto, Canada
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17
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Andrianova MA, Chetan GK, Sibin MK, Mckee T, Merkler D, Narasinga RK, Ribaux P, Blouin JL, Makrythanasis P, Seplyarskiy VB, Antonarakis SE, Nikolaev SI. Germline PMS2 and somatic POLE exonuclease mutations cause hypermutability of the leading DNA strand in biallelic mismatch repair deficiency syndrome brain tumours. J Pathol 2017; 243:331-341. [PMID: 28805995 DOI: 10.1002/path.4957] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 08/02/2017] [Accepted: 08/09/2017] [Indexed: 12/18/2022]
Abstract
Biallelic mismatch repair deficiency (bMMRD) in tumours is frequently associated with somatic mutations in the exonuclease domains of DNA polymerases POLE or POLD1, and results in a characteristic mutational profile. In this article, we describe the genetic basis of ultramutated high-grade brain tumours in the context of bMMRD. We performed exome sequencing of two second-cousin patients from a large consanguineous family of Indian origin with early onset of high-grade glioblastoma and astrocytoma. We identified a germline homozygous nonsense variant, p.R802*, in the PMS2 gene. Additionally, by genome sequencing of these tumours, we found extremely high somatic mutation rates (237/Mb and 123/Mb), as well as somatic mutations in the proofreading domain of POLE polymerase (p.P436H and p.L424V), which replicates the leading DNA strand. Most interestingly, we found, in both cancers, that the vast majority of mutations were consistent with the signature of POLE exo- , i.e. an abundance of C>A and C>T mutations, particularly in special contexts, on the leading strand. We showed that the fraction of mutations under positive selection among mutations in tumour suppressor genes is more than two-fold lower in ultramutated tumours than in other glioblastomas. Genetic analyses enabled the diagnosis of the two consanguineous childhood brain tumours as being due to a combination of PMS2 germline and POLE somatic variants, and confirmed them as bMMRD/POLE exo- disorders. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Affiliation(s)
| | - Ghati Kasturirangan Chetan
- Department of Human Genetics, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Madathan Kandi Sibin
- Department of Human Genetics, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Thomas Mckee
- Service of Clinical Pathology, University Hospitals of Geneva, Geneva, Switzerland
| | - Doron Merkler
- Department of Pathology and Immunology, Université de Genève (UNIGE), Geneva, Switzerland
| | - Rao Kvl Narasinga
- Department of Neuro-surgery, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Pascale Ribaux
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
| | - Jean-Louis Blouin
- Service of Genetic Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Periklis Makrythanasis
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.,Service of Genetic Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Vladimir B Seplyarskiy
- Institute of Information Transmission Problems, Moscow, Russia.,Moscow State University, Moscow, Russia.,Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stylianos E Antonarakis
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.,Service of Genetic Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Sergey I Nikolaev
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.,Service of Genetic Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
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18
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Qian T, Zhang B, Qian C, He Y, Li Y. Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies. Medicine (Baltimore) 2017; 96:e6832. [PMID: 28514298 PMCID: PMC5440135 DOI: 10.1097/md.0000000000006832] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND A number of studies have investigated the roles of excision repair cross complementation group 1 (ERCC1), ERCC2, and ERCC5 genes polymorphisms in the development of glioma; however, the results were inconsistent. Here, we performed a meta-analysis to investigate the association between 6 polymorphisms in the ERCC genes (rs3212986, rs11615, rs13181, rs1799793, rs238406, rs17655) and glioma risk. METHODS The PubMed, Embase, and Web of science were searched up to September 6, 2016, for studies on the association between ERCC polymorphisms and glioma risk. A fixed-effects or random-effects model was used to calculate the pooled odds ratios based on the results from the heterogeneity tests. Sensitivity and cumulative meta-analyses were also performed. RESULTS A total of 15 studies were eligible for the pooled analysis, conducted in 2 populations of ethnic descent: 8 Europeans and 7 Asians. The results showed that ERCC1 rs3212986 polymorphism was positively associated with glioma [AA vs CC: odds ratio (OR) = 1.298, 95% confidence interval (95% CI) = 1.043-1.230, P = .025]. Association of the ERCC2 rs13181 and rs1799793 polymorphisms was only observed in Asians (CC vs AA for rs13181: OR = 1.539, 95% CI = 1.122-2.109, P = .007; AA vs GG for rs1799793: OR = 1.474, 95% CI = 1.090-1.994, P = .012). However, no association was observed between glioma risk and ERCC1 rs11615, ERCC2 rs238406, and ERCC5 rs17655 polymorphisms. Moreover, sensitivity and cumulative meta-analyses confirmed the stability of the results. CONCLUSIONS Our meta-analysis indicated that the ERCC1 rs3212986 polymorphism and 2 polymorphisms in ERCC2 gene (rs13181 and rs1799793) contributed to the susceptibility of glioma.
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19
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The etiopathogenesis of diffuse low-grade gliomas. Crit Rev Oncol Hematol 2016; 109:51-62. [PMID: 28010898 DOI: 10.1016/j.critrevonc.2016.11.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 11/18/2016] [Accepted: 11/22/2016] [Indexed: 12/13/2022] Open
Abstract
The origins of diffuse low-grade gliomas (DLGG) are unknown. Beyond some limited data on their temporal and cellular origins, the mechanisms and risk factors involved are poorly known. First, based on strong relationships between DLGG development and the eloquence of brain regions frequently invaded by these tumors, we propose a "functional theory" to explain the origin of DLGG. Second, the biological pathways involved in DLGG genesis may differ according to tumor location (anatomo-molecular correlations). The cellular and molecular mechanisms of such "molecular theory" will be reviewed. Third, the geographical distribution of diffuse WHO grade II-III gliomas within populations is heterogeneous, suggesting possible environmental risk factors. We will discuss this "environmental theory". Finally, we will summarize the current knowledge on genetic susceptibility in gliomas ("genetic predisposition theory"). These crucial issues illustrate the close relationships between the pathophysiology of gliomagenesis, the anatomo-functional organization of the brain, and personalized management of DLGG patients.
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20
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Sevastou I, Pryce G, Baker D, Selwood DL. Characterisation of Transcriptional Changes in the Spinal Cord of the Progressive Experimental Autoimmune Encephalomyelitis Biozzi ABH Mouse Model by RNA Sequencing. PLoS One 2016; 11:e0157754. [PMID: 27355629 PMCID: PMC4927105 DOI: 10.1371/journal.pone.0157754] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 06/04/2016] [Indexed: 11/30/2022] Open
Abstract
Multiple sclerosis (MS) is a debilitating immune-mediated neurological disorder affecting young adults. MS is primarily relapsing-remitting, but neurodegeneration and disability accumulate from disease onset. The most commonly used mouse MS models exhibit a monophasic immune response with fast accumulation of neurological damage that does not allow the study of progressive neurodegeneration. The chronic relapsing and secondary progressive EAE (pEAE) Biozzi ABH mouse model of MS exhibits a reproducible relapsing-remitting disease course that slowly accumulates permanent neurological deficit and develops a post-relapsing progressive disease that permits the study of demyelination and neurodegeneration. RNA sequencing (RNAseq) was used to explore global gene expression in the pEAE Biozzi ABH mouse. Spinal cord tissue RNA from pEAE Biozzi ABH mice and healthy age-matched controls was sequenced. 2,072 genes were differentially expressed (q<0.05) from which 1,397 were significantly upregulated and 675 were significantly downregulated. This hypothesis-free investigation characterised the genomic changes that describe the pEAE mouse model. The differentially expressed genes revealed a persistent immunoreactant phenotype, combined with downregulation of the cholesterol biosynthesis superpathway and the LXR/RXR activation pathway. Genes differentially expressed include the myelination genes Slc17a7, Ugt8A and Opalin, the neuroprotective genes Sprr1A, Osm and Wisp2, as well as genes identified as MS risk factors, including RGs14 and Scap2. Novel genes with unestablished roles in EAE or MS were also identified. The identification of differentially expressed novel genes and genes involved in MS pathology, opens the door to their functional study in the pEAE mouse model which recapitulates some of the important clinical features of progressive MS.
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Affiliation(s)
- Ioanna Sevastou
- Department of Medicinal Chemistry, UCL Wolfson Institute for Biomedical Science, London, WC1E 6BT, United Kingdom
| | - Gareth Pryce
- Neuroimmmunology Unit, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, E1 2AT, United Kingdom
| | - David Baker
- Neuroimmmunology Unit, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, E1 2AT, United Kingdom
| | - David L. Selwood
- Department of Medicinal Chemistry, UCL Wolfson Institute for Biomedical Science, London, WC1E 6BT, United Kingdom
- * E-mail:
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21
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Backes C, Harz C, Fischer U, Schmitt J, Ludwig N, Petersen BS, Mueller SC, Kim YJ, Wolf NM, Katus HA, Meder B, Furtwängler R, Franke A, Bohle R, Henn W, Graf N, Keller A, Meese E. New insights into the genetics of glioblastoma multiforme by familial exome sequencing. Oncotarget 2016; 6:5918-31. [PMID: 25537509 PMCID: PMC4467411 DOI: 10.18632/oncotarget.2950] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Accepted: 12/09/2014] [Indexed: 11/25/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the most aggressive and malignant subtype of human brain tumors. While a family clustering of GBM has long been acknowledged, relevant hereditary factors still remained elusive. Exome sequencing of families offers the option to discover respective genetic factors.We sequenced blood samples of one of the rare affected families: while both parents were healthy, both children were diagnosed with GBM. We report 85 homozygous non-synonymous single nucleotide variations (SNVs) in both siblings that were heterozygous in the parents. Beyond known key players for GBM such as ERBB2, PMS2, or CHI3L1, we identified over 50 genes that have not been associated to GBM so far. We also discovered three accumulative effects potentially adding to the tumorigenesis in the siblings: a clustering of multiple variants in single genes (e.g., PTPRB, CROCC), the aggregation of affected genes on specific molecular pathways (e.g., Focal adhesion or ECM receptor interaction) and genomic proximity (e.g., chr22.q12.2, chr1.p36.33). We found a striking accumulation of SNVs in specific genes for the daughter, who developed not only a GBM at the age of 12 years but was subsequently diagnosed with a pilocytic astrocytoma, a common acute lymphatic leukemia and a diffuse pontine glioma.The reported variants underline the relevance of genetic predisposition and cancer development in this family and demonstrate that GBM has a complex and heterogeneous genetic background. Sequencing of other affected families will help to further narrow down the driving genetic causes for this disease.
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Affiliation(s)
- Christina Backes
- Clinical Bioinformatics, University of Saarland, Saarbrücken, Germany
| | - Christian Harz
- Institute of Human Genetics, University of Saarland, Medical School, Homburg, Germany
| | - Ulrike Fischer
- Institute of Human Genetics, University of Saarland, Medical School, Homburg, Germany
| | - Jana Schmitt
- Institute of Human Genetics, University of Saarland, Medical School, Homburg, Germany
| | - Nicole Ludwig
- Institute of Human Genetics, University of Saarland, Medical School, Homburg, Germany
| | - Britt-Sabina Petersen
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Haus Niemannsweg, Kiel, Germany
| | - Sabine C Mueller
- Clinical Bioinformatics, University of Saarland, Saarbrücken, Germany.,Institute of Human Genetics, University of Saarland, Medical School, Homburg, Germany
| | - Yoo-Jin Kim
- Department of Pathology, University of Saarland, Medical School, Building, Homburg, Germany
| | - Nadine M Wolf
- Department of Internal Medicine III, University of Heidelberg, Heidelberg, Germany
| | - Hugo A Katus
- Department of Internal Medicine III, University of Heidelberg, Heidelberg, Germany
| | - Benjamin Meder
- Department of Internal Medicine III, University of Heidelberg, Heidelberg, Germany
| | - Rhoikos Furtwängler
- Pediatric Hematology and Oncology, University of Saarland, Medical School, Homburg, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, Haus Niemannsweg, Kiel, Germany
| | - Rainer Bohle
- Department of Pathology, University of Saarland, Medical School, Building, Homburg, Germany
| | - Wolfram Henn
- Institute of Human Genetics, University of Saarland, Medical School, Homburg, Germany
| | - Norbert Graf
- Pediatric Hematology and Oncology, University of Saarland, Medical School, Homburg, Germany
| | - Andreas Keller
- Clinical Bioinformatics, University of Saarland, Saarbrücken, Germany
| | - Eckart Meese
- Institute of Human Genetics, University of Saarland, Medical School, Homburg, Germany
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22
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Abstract
The etiologies of brain tumors are in the most cases unknown, but improvements in genetics and DNA screening have helped to identify a wide range of brain tumor predisposition disorders. In this review we are discussing some of the most common predisposition disorders, namely: neurofibromatosis type 1 and 2, schwannomatosis, rhabdoid tumor predisposition disorder, nevoid basal cell carcinoma syndrome (Gorlin), tuberous sclerosis complex, von Hippel-Lindau, Li-Fraumeni and Turcot syndromes. Recent findings from the GLIOGENE collaboration and the newly identified glioma causing gene POT1, will also be discussed. Genetics. We will describe these disorders from a genetic and clinical standpoint, focusing on the difference in clinical symptoms depending on the underlying gene or germline mutation. Central nervous system (CNS) tumors. Most of these disorders predispose the carriers to a wide range of symptoms. Herein, we will focus particularly on tumors affecting the CNS and discuss improvements of targeted therapy for the particular disorders.
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Affiliation(s)
- Gunnar Johansson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Ulrika Andersson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
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Claus EB, Walsh KM, Wiencke JK, Molinaro AM, Wiemels JL, Schildkraut JM, Bondy ML, Berger M, Jenkins R, Wrensch M. Survival and low-grade glioma: the emergence of genetic information. Neurosurg Focus 2015; 38:E6. [PMID: 25552286 DOI: 10.3171/2014.10.focus12367] [Citation(s) in RCA: 289] [Impact Index Per Article: 32.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Significant gaps exist in our understanding of the causes and clinical management of glioma. One of the biggest gaps is how best to manage low-grade (World Health Organization [WHO] Grade II) glioma. Low-grade glioma (LGG) is a uniformly fatal disease of young adults (mean age 41 years), with survival averaging approximately 7 years. Although LGG patients have better survival than patients with high-grade (WHO Grade III or IV) glioma, all LGGs eventually progress to high-grade glioma and death. Data from the Surveillance, Epidemiology and End Results (SEER) program of the National Cancer Institute suggest that for the majority of LGG patients, overall survival has not significantly improved over the past 3 decades, highlighting the need for intensified study of this tumor. Recently published research suggests that historically used clinical variables are not sufficient (and are likely inferior) prognostic and predictive indicators relative to information provided by recently discovered tumor markers (e.g., 1p/19q deletion and IDH1 or IDH2 mutation status), tumor expression profiles (e.g., the proneural profile) and/or constitutive genotype (e.g., rs55705857 on 8q24.21). Discovery of such tumor and constitutive variation may identify variables needed to improve randomization in clinical trials as well as identify patients more sensitive to current treatments and targets for improved treatment in the future. This article reports on survival trends for patients diagnosed with LGG within the United States from 1973 through 2011 and reviews the emerging role of tumor and constitutive genetics in refining risk stratification, defining targeted therapy, and improving survival for this group of relatively young patients.
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Babaei M, Fallah M, Sundquist K, Hemminki K. Histological concordance in familial central nervous system tumors: Evidence from nationwide Swedish Family-Cancer Database. Cancer Epidemiol 2015; 39:334-9. [DOI: 10.1016/j.canep.2015.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Revised: 03/02/2015] [Accepted: 03/05/2015] [Indexed: 01/03/2023]
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Rapkins RW, Wang F, Nguyen HN, Cloughesy TF, Lai A, Ha W, Nowak AK, Hitchins MP, McDonald KL. The MGMT promoter SNP rs16906252 is a risk factor for MGMT methylation in glioblastoma and is predictive of response to temozolomide. Neuro Oncol 2015; 17:1589-98. [PMID: 25910840 DOI: 10.1093/neuonc/nov064] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2014] [Accepted: 03/20/2015] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Promoter methylation of O(6)-methylguanine-DNA methyltransferase (MGMT) is an important predictive biomarker in glioblastoma. The T variant of the MGMT promoter-enhancer single nucleotide polymorphism (SNP; rs16906252) has been associated with the presence of MGMT promoter methylation in other cancers. We examined the association of the T allele of rs16906252 with glioblastoma development, tumor MGMT methylation, MGMT protein expression, and survival outcomes. METHODS Two independent temozolomide-treated glioblastoma cohorts-one Australian (Australian Genomics and Clinical Outcomes of Glioma, n = 163) and the other American (University of California Los Angeles/Kaiser Permanente Los Angeles, n = 159)-were studied. Allelic bisulphite sequencing was used to determine if methylation was specific to the T allele. Additionally, we compared the incidence of the T allele between glioblastoma cases and matched controls to assess whether it was a risk factor for developing MGMT methylated glioblastoma. RESULTS Carriage of the T allele of the rs16906252 SNP was associated with both MGMT methylation and low MGMT protein expression and predicted significantly longer survival in temozolomide-treated patients with both MGMT methylated and nonmethylated glioblastoma. Methylation was linked to the T allele, inferring that the T variant plays a key role in the acquisition of MGMT methylation. Carriage of the T allele was associated with a significantly elevated risk of developing glioblastoma (adjusted odds ratio, 1.96; P = .013), increasing further when glioblastoma was classified by the presence of MGMT methylation (adjusted odds ratio, 2.86; P = .001). CONCLUSIONS The T allele of the rs16906252 SNP is a key determinant in the acquisition of MGMT methylation in glioblastoma. Temozolomide-treated patients with the rs16906252 T genotype have better survival, irrespective of tumor methylation status.
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Affiliation(s)
- Robert W Rapkins
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - Fan Wang
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - HuyTram N Nguyen
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - Timothy F Cloughesy
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - Albert Lai
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - Wendy Ha
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - Anna K Nowak
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - Megan P Hitchins
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
| | - Kerrie L McDonald
- Cure Brain Cancer Neuro-oncology Laboratory, Prince of Wales Clinical School, Lowy Cancer Research Centre, University of New South Wales, Sydney, Australia (R.W.R., W.H., K.L.M.); Department of Medicine (Oncology), Stanford Cancer Institute, Stanford University, Stanford, California (F.W., M.P.H.); School of Public Health, Harbin Medical University, Harbin, People's Republic of China (F.W.); Department of Neurology, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California (H.N.N., T.F.C., A.L.); School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (A.N.)
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Han S, Lv X, Wang Y, Gong H, Zhang C, Tong A, Zhang B, Yao H. Effect and mechanism of peroxisome proliferator-activated receptor-γ on the drug resistance of the U-87 MG/CDDP human malignant glioma cell line. Mol Med Rep 2015; 12:2239-46. [PMID: 25891367 DOI: 10.3892/mmr.2015.3625] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2014] [Accepted: 02/24/2015] [Indexed: 11/05/2022] Open
Abstract
Peroxisome proliferator-activated receptor-γ (PPAR-γ) is important in tumor differentiation, proliferation and apoptosis. However, the effect and mechanism of PPAR-γ on the promotion of cisplatin sensitivity in glioma cells remain to be elucidated. The present study established cisplatin-resistant U-87 MG/CDDP cell lines and U-87 MG/CDDP cell lines overexpressing PPAR-γ. With upregulated expression of PPAR-γ, the sensitivity of cancer cells to cisplatin was increased. Flow cytometry revealed that the intracellular content of rhodamine-123 was increased, expression of P-glycoprotein was downregulated, cell cycle was arrested in G0/G1 phase, apoptosis and oxidative stress was increased, levels of intracellular thymidylate synthase, glutathione and transforming growth factor-β1 were decreased, expression levels of multidrug resistance related gene (MDR), multidrug resistance-associated protein and glutothionine S-transferase-π were downregulated, expression levels of cell proliferation and apoptosis associated genes, including survivin and B-cell lymphoma-2, were downregulated, p53, p21 and caspase-3/8 were significantly upregulated, phosphorylation of extracellular signal-regulated kinase and small mothers against decapentaplegic 2 were downregulated, and the transcriptional activities of Twist and nuclear factor (erythroid-derived 2)-like 2 were significantly reduced. The results suggested that upregulation of PPAR-γ in the U-87 MG/DDP cells increased cisplatin sensitivity, and the underlying mechanisms included the regulation of MDR and apoptosis associated genes, which increased the intracellular accumulation of the drug, inhibited cell proliferation and promoted cell apoptosis.
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Affiliation(s)
- Shaorong Han
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
| | - Xiaoyan Lv
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
| | - Yanming Wang
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
| | - Hai Gong
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
| | - Cong Zhang
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
| | - Anna Tong
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
| | - Baoyi Zhang
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
| | - Hui Yao
- Department of Radiation Oncology, Jinan Military General Hospital, Jinan, Shandong 250031, P.R. China
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Jalali A, Amirian ES, Bainbridge MN, Armstrong GN, Liu Y, Tsavachidis S, Jhangiani SN, Plon SE, Lau CC, Claus EB, Barnholtz-Sloan JS, Il'yasova D, Schildkraut J, Ali-Osman F, Sadetzki S, Johansen C, Houlston RS, Jenkins RB, Lachance D, Olson SH, Bernstein JL, Merrell RT, Wrensch MR, Davis FG, Lai R, Shete S, Aldape K, Amos CI, Muzny DM, Gibbs RA, Melin BS, Bondy ML. Targeted sequencing in chromosome 17q linkage region identifies familial glioma candidates in the Gliogene Consortium. Sci Rep 2015; 5:8278. [PMID: 25652157 PMCID: PMC4317686 DOI: 10.1038/srep08278] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2014] [Accepted: 01/06/2015] [Indexed: 12/30/2022] Open
Abstract
Glioma is a rare, but highly fatal, cancer that accounts for the majority of malignant primary brain tumors. Inherited predisposition to glioma has been consistently observed within non-syndromic families. Our previous studies, which involved non-parametric and parametric linkage analyses, both yielded significant linkage peaks on chromosome 17q. Here, we use data from next generation and Sanger sequencing to identify familial glioma candidate genes and variants on chromosome 17q for further investigation. We applied a filtering schema to narrow the original list of 4830 annotated variants down to 21 very rare (<0.1% frequency), non-synonymous variants. Our findings implicate the MYO19 and KIF18B genes and rare variants in SPAG9 and RUNDC1 as candidates worthy of further investigation. Burden testing and functional studies are planned.
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Affiliation(s)
- Ali Jalali
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - E. Susan Amirian
- Department of Pediatrics, Division of Hematology-Oncology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Matthew N. Bainbridge
- Codified Genomics, LLC, Houston Texas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Georgina N. Armstrong
- Department of Pediatrics, Division of Hematology-Oncology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Yanhong Liu
- Department of Pediatrics, Division of Hematology-Oncology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Spyros Tsavachidis
- Department of Pediatrics, Division of Hematology-Oncology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | | | - Sharon E. Plon
- Department of Pediatrics, Division of Hematology-Oncology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Ching C. Lau
- Department of Pediatrics, Division of Hematology-Oncology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Elizabeth B. Claus
- Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts
| | - Jill S. Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Dora Il'yasova
- Department of Epidemiology and Biostatistics, Georgia State University School of Public Health, Atlanta, Georgia
- Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina
| | - Joellen Schildkraut
- Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina
| | - Francis Ali-Osman
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
| | - Siegal Sadetzki
- Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Christoffer Johansen
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
- Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Richard S. Houlston
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Robert B. Jenkins
- Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - Daniel Lachance
- Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - Sara H. Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Jonine L. Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Ryan T. Merrell
- Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois
| | - Margaret R. Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Faith G. Davis
- Department of Public Health Services, University of Alberta, Edmonton, Alberta, Canada
| | - Rose Lai
- Departments of Neurology, Neurosurgery, and Preventive Medicine, The University of Southern California Keck School of Medicine, Los Angeles, California
| | - Sanjay Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kenneth Aldape
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christopher I. Amos
- Department of Community and Family Medicine, Department of Genetics, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth; Hanover, New Hampshire
| | - Donna M. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Beatrice S. Melin
- Department of Radiation Sciences Oncology, Umeå University, Umeå, Sweden
| | - Melissa L. Bondy
- Department of Pediatrics, Division of Hematology-Oncology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
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Ostrom QT, Bauchet L, Davis FG, Deltour I, Fisher JL, Langer CE, Pekmezci M, Schwartzbaum JA, Turner MC, Walsh KM, Wrensch MR, Barnholtz-Sloan JS. The epidemiology of glioma in adults: a "state of the science" review. Neuro Oncol 2014; 16:896-913. [PMID: 24842956 PMCID: PMC4057143 DOI: 10.1093/neuonc/nou087] [Citation(s) in RCA: 1423] [Impact Index Per Article: 142.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Accepted: 04/09/2014] [Indexed: 12/14/2022] Open
Abstract
Gliomas are the most common primary intracranial tumor, representing 81% of malignant brain tumors. Although relatively rare, they cause significant mortality and morbidity. Glioblastoma, the most common glioma histology (∼45% of all gliomas), has a 5-year relative survival of ∼5%. A small portion of these tumors are caused by Mendelian disorders, including neurofibromatosis, tuberous sclerosis, and Li-Fraumeni syndrome. Genomic analyses of glioma have also produced new evidence about risk and prognosis. Recently discovered biomarkers that indicate improved survival include O⁶-methylguanine-DNA methyltransferase methylation, isocitrate dehydrogenase mutation, and a glioma cytosine-phosphate-guanine island methylator phenotype. Genome-wide association studies have identified heritable risk alleles within 7 genes that are associated with increased risk of glioma. Many risk factors have been examined as potential contributors to glioma risk. Most significantly, these include an increase in risk by exposure to ionizing radiation and a decrease in risk by history of allergies or atopic disease(s). The potential influence of occupational exposures and cellular phones has also been examined, with inconclusive results. We provide a “state of the science” review of current research into causes and risk factors for gliomas in adults.
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Kote-Jarai Z, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Dadaev T, Jugurnauth-Little S, Ross-Adams H, Al Olama AA, Benlloch S, Halim S, Russell R, Russel R, Dunning AM, Luccarini C, Dennis J, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock S, Berndt SI, Albanes D, Andriole G, Schleutker J, Weischer M, Canzian F, Riboli E, Key TJ, Travis RC, Campa D, Ingles SA, John EM, Hayes RB, Pharoah P, Khaw KT, Stanford JL, Ostrander EA, Signorello LB, Thibodeau SN, Schaid D, Maier C, Vogel W, Kibel AS, Cybulski C, Lubinski J, Cannon-Albright L, Brenner H, Park JY, Kaneva R, Batra J, Spurdle A, Clements JA, Teixeira MR, Govindasami K, Guy M, Wilkinson RA, Sawyer EJ, Morgan A, Dicks E, Baynes C, Conroy D, Bojesen SE, Kaaks R, Vincent D, Bacot F, Tessier DC, Easton DF, Eeles RA. Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression. Hum Mol Genet 2013; 22:2520-8. [PMID: 23535824 PMCID: PMC3658165 DOI: 10.1093/hmg/ddt086] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2012] [Accepted: 02/18/2013] [Indexed: 01/18/2023] Open
Abstract
Associations between single nucleotide polymorphisms (SNPs) at 5p15 and multiple cancer types have been reported. We have previously shown evidence for a strong association between prostate cancer (PrCa) risk and rs2242652 at 5p15, intronic in the telomerase reverse transcriptase (TERT) gene that encodes TERT. To comprehensively evaluate the association between genetic variation across this region and PrCa, we performed a fine-mapping analysis by genotyping 134 SNPs using a custom Illumina iSelect array or Sequenom MassArray iPlex, followed by imputation of 1094 SNPs in 22 301 PrCa cases and 22 320 controls in The PRACTICAL consortium. Multiple stepwise logistic regression analysis identified four signals in the promoter or intronic regions of TERT that independently associated with PrCa risk. Gene expression analysis of normal prostate tissue showed evidence that SNPs within one of these regions also associated with TERT expression, providing a potential mechanism for predisposition to disease.
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Affiliation(s)
- Zsofia Kote-Jarai
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK.
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Melin B, Dahlin AM, Andersson U, Wang Z, Henriksson R, Hallmans G, Bondy ML, Johansen C, Feychting M, Ahlbom A, Kitahara CM, Wang SS, Ruder AM, Carreón T, Butler MA, Inskip PD, Purdue M, Hsing AW, Mechanic L, Gillanders E, Yeager M, Linet M, Chanock SJ, Hartge P, Rajaraman P. Known glioma risk loci are associated with glioma with a family history of brain tumours -- a case-control gene association study. Int J Cancer 2013; 132:2464-8. [PMID: 23115063 PMCID: PMC3586297 DOI: 10.1002/ijc.27922] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Accepted: 09/17/2012] [Indexed: 12/20/2022]
Abstract
Familial cancer can be used to leverage genetic association studies. Recent genome-wide association studies have reported independent associations between seven single nucleotide polymorphisms (SNPs) and risk of glioma. The aim of this study was to investigate whether glioma cases with a positive family history of brain tumours, defined as having at least one first- or second-degree relative with a history of brain tumour, are associated with known glioma risk loci. One thousand four hundred and thirty-one glioma cases and 2,868 cancer-free controls were identified from four case-control studies and two prospective cohorts from USA, Sweden and Denmark and genotyped for seven SNPs previously reported to be associated with glioma risk in case-control designed studies. Odds ratios were calculated by unconditional logistic regression. In analyses including glioma cases with a family history of brain tumours (n = 104) and control subjects free of glioma at baseline, three of seven SNPs were associated with glioma risk: rs2736100 (5p15.33, TERT), rs4977756 (9p21.3, CDKN2A-CDKN2B) and rs6010620 (20q13.33, RTEL1). After Bonferroni correction for multiple comparisons, only one marker was statistically significantly associated with glioma risk, rs6010620 (ORtrend for the minor (A) allele, 0.39; 95% CI: 0.25-0.61; Bonferroni adjusted ptrend , 1.7 × 10(-4) ). In conclusion, as previously shown for glioma regardless of family history of brain tumours, rs6010620 (RTEL1) was associated with an increased risk of glioma when restricting to cases with family history of brain tumours. These findings require confirmation in further studies with a larger number of glioma cases with a family history of brain tumours.
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Affiliation(s)
- Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
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31
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Sadetzki S, Bruchim R, Oberman B, Armstrong GN, Lau CC, Claus EB, Barnholtz-Sloan JS, Il'yasova D, Schildkraut J, Johansen C, Houlston RS, Shete S, Amos CI, Bernstein JL, Olson SH, Jenkins RB, Lachance D, Vick NA, Merrell R, Wrensch M, Davis FG, McCarthy BJ, Lai R, Melin BS, Bondy ML. Description of selected characteristics of familial glioma patients - results from the Gliogene Consortium. Eur J Cancer 2013; 49:1335-45. [PMID: 23290425 DOI: 10.1016/j.ejca.2012.11.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2012] [Revised: 11/05/2012] [Accepted: 11/06/2012] [Indexed: 11/30/2022]
Abstract
BACKGROUND While certain inherited syndromes (e.g. Neurofibromatosis or Li-Fraumeni) are associated with an increased risk of glioma, most familial gliomas are non-syndromic. This study describes the demographic and clinical characteristics of the largest series of non-syndromic glioma families ascertained from 14 centres in the United States (US), Europe and Israel as part of the Gliogene Consortium. METHODS Families with 2 or more verified gliomas were recruited between January 2007 and February 2011. Distributions of demographic characteristics and clinical variables of gliomas in the families were described based on information derived from personal questionnaires. FINDINGS The study population comprised 841 glioma patients identified in 376 families (9797 individuals). There were more cases of glioma among males, with a male to female ratio of 1.25. In most families (83%), 2 gliomas were reported, with 3 and 4 gliomas in 13% and 3% of the families, respectively. For families with 2 gliomas, 57% were among 1st-degree relatives, and 31.5% among 2nd-degree relatives. Overall, the mean (±standard deviation [SD]) diagnosis age was 49.4 (±18.7) years. In 48% of families with 2 gliomas, at least one was diagnosed at <40y, and in 12% both were diagnosed under 40y of age. Most of these families (76%) had at least one grade IV glioblastoma multiforme (GBM), and in 32% both cases were grade IV gliomas. The most common glioma subtype was GBM (55%), followed by anaplastic astrocytoma (10%) and oligodendroglioma (8%). Individuals with grades I-II were on average 17y younger than those with grades III-IV. INTERPRETATION Familial glioma cases are similar to sporadic cases in terms of gender distribution, age, morphology and grade. Most familial gliomas appear to comprise clusters of two cases suggesting low penetrance, and that the risk of developing additional gliomas is probably low. These results should be useful in the counselling and clinical management of individuals with a family history of glioma.
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Affiliation(s)
- Siegal Sadetzki
- Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel.
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Goodenberger ML, Jenkins RB. Genetics of adult glioma. Cancer Genet 2012; 205:613-21. [PMID: 23238284 DOI: 10.1016/j.cancergen.2012.10.009] [Citation(s) in RCA: 567] [Impact Index Per Article: 47.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2012] [Revised: 10/22/2012] [Accepted: 10/26/2012] [Indexed: 12/13/2022]
Abstract
Gliomas make up approximately 30% of all brain and central nervous system tumors and 80% of all malignant brain tumors. Despite the frequency of gliomas, the etiology of these tumors remains largely unknown. Diffuse gliomas, including astrocytomas and oligodendrogliomas, belong to a single pathologic class but have very different histologies and molecular etiologies. Recent genomic studies have identified separate molecular subtypes within the glioma classification that appear to correlate with biological etiology, prognosis, and response to therapy. The discovery of these subtypes suggests that molecular genetic tests are and will be useful, beyond classical histology, for the clinical classification of gliomas. While a familial susceptibility to glioma has been identified, only a small percentage of gliomas are thought to be due to single-gene hereditary cancer syndromes. Through the use of linkage studies and genome-wide association studies, multiple germline variants have been identified that are beginning to define the genetic susceptibility to glioma.
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Affiliation(s)
- McKinsey L Goodenberger
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
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Sun X, Vengoechea J, Elston R, Chen Y, Amos CI, Armstrong G, Bernstein JL, Claus E, Davis F, Houlston RS, Il'yasova D, Jenkins RB, Johansen C, Lai R, Lau CC, Liu Y, McCarthy BJ, Olson SH, Sadetzki S, Schildkraut J, Shete S, Yu R, Vick NA, Merrell R, Wrensch M, Yang P, Melin B, Bondy ML, Barnholtz-Sloan JS. A variable age of onset segregation model for linkage analysis, with correction for ascertainment, applied to glioma. Cancer Epidemiol Biomarkers Prev 2012; 21:2242-51. [PMID: 22962404 PMCID: PMC3518573 DOI: 10.1158/1055-9965.epi-12-0703] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND We propose a 2-step model-based approach, with correction for ascertainment, to linkage analysis of a binary trait with variable age of onset and apply it to a set of multiplex pedigrees segregating for adult glioma. METHODS First, we fit segregation models by formulating the likelihood for a person to have a bivariate phenotype, affection status and age of onset, along with other covariates, and from these we estimate population trait allele frequencies and penetrance parameters as a function of age (N = 281 multiplex glioma pedigrees). Second, the best fitting models are used as trait models in multipoint linkage analysis (N = 74 informative multiplex glioma pedigrees). To correct for ascertainment, a prevalence constraint is used in the likelihood of the segregation models for all 281 pedigrees. Then the trait allele frequencies are reestimated for the pedigree founders of the subset of 74 pedigrees chosen for linkage analysis. RESULTS Using the best-fitting segregation models in model-based multipoint linkage analysis, we identified 2 separate peaks on chromosome 17; the first agreed with a region identified by Shete and colleagues who used model-free affected-only linkage analysis, but with a narrowed peak: and the second agreed with a second region they found but had a larger maximum log of the odds (LOD). CONCLUSIONS Our approach was able to narrow the linkage peak previously published for glioma. IMPACT We provide a practical solution to model-based linkage analysis for disease affection status with variable age of onset for the kinds of pedigree data often collected for linkage analysis.
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Affiliation(s)
- Xiangqing Sun
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
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Henrion M, Frampton M, Scelo G, Purdue M, Ye Y, Broderick P, Ritchie A, Kaplan R, Meade A, McKay J, Johansson M, Lathrop M, Larkin J, Rothman N, Wang Z, Chow WH, Stevens VL, Ryan Diver W, Gapstur SM, Albanes D, Virtamo J, Wu X, Brennan P, Chanock S, Eisen T, Houlston RS. Common variation at 2q22.3 (ZEB2) influences the risk of renal cancer. Hum Mol Genet 2012. [PMID: 23184150 DOI: 10.1093/hmg/dds489] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Genome-wide association studies (GWASs) of renal cell cancer (RCC) have identified four susceptibility loci thus far. To identify an additional RCC common susceptibility locus, we conducted a GWAS and performed a meta-analysis with published GWASs (totalling 2215 cases and 8566 controls of European background) and followed up the most significant association signals [nine single nucleotide polymorphisms (SNPs) in eight genomic regions] in 3739 cases and 8786 controls. A combined analysis identified a novel susceptibility locus mapping to 2q22.3 marked by rs12105918 (P = 1.80 × 10(-8); odds ratio 1.29, 95% CI: 1.18-1.41). The signal localizes to intron 2 of the ZEB2 gene (zinc finger E box-binding homeobox 2). Our findings suggest that genetic variation in ZEB2 influences the risk of RCC. This finding provides further insights into the genetic and biological basis of inherited genetic susceptibility to RCC.
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Affiliation(s)
- Marc Henrion
- Division of Genetics and Epidemiology, Section of Cancer Genetics, Institute of Cancer Research, Surrey SM2 5NG, UK
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Liu Y, Melin BS, Rajaraman P, Wang Z, Linet M, Shete S, Amos CI, Lau CC, Scheurer ME, Tsavachidis S, Armstrong GN, Houlston RS, Hosking FJ, Claus EB, Barnholtz-Sloan J, Lai R, Il’yasova D, Schildkraut J, Sadetzki S, Johansen C, Bernstein JL, Olson SH, Jenkins RB, LaChance D, Vick NA, Wrensch M, Davis F, McCarthy BJ, Andersson U, Thompson PA, Chanock S, Bondy ML. Insight in glioma susceptibility through an analysis of 6p22.3, 12p13.33-12.1, 17q22-23.2 and 18q23 SNP genotypes in familial and non-familial glioma. Hum Genet 2012; 131:1507-17. [PMID: 22688887 PMCID: PMC3604903 DOI: 10.1007/s00439-012-1187-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2012] [Accepted: 05/29/2012] [Indexed: 01/24/2023]
Abstract
The risk of glioma has consistently been shown to be increased twofold in relatives of patients with primary brain tumors (PBT). A recent genome-wide linkage study of glioma families provided evidence for a disease locus on 17q12-21.32, with the possibility of four additional risk loci at 6p22.3, 12p13.33-12.1, 17q22-23.2, and 18q23. To identify the underlying genetic variants responsible for the linkage signals, we compared the genotype frequencies of 5,122 SNPs mapping to these five regions in 88 glioma cases with and 1,100 cases without a family history of PBT (discovery study). An additional series of 84 familial and 903 non-familial cases were used to replicate associations. In the discovery study, 12 SNPs showed significant associations with family history of PBT (P < 0.001). In the replication study, two of the 12 SNPs were confirmed: 12p13.33-12.1 PRMT8 rs17780102 (P = 0.031) and 17q12-21.32 SPOP rs650461 (P = 0.025). In the combined analysis of discovery and replication studies, the strongest associations were attained at four SNPs: 12p13.33-12.1 PRMT8 rs17780102 (P = 0.0001), SOX5 rs7305773 (P = 0.0001) and STKY1 rs2418087 (P = 0.0003), and 17q12-21.32 SPOP rs6504618 (P = 0.0006). Further, a significant gene-dosage effect was found for increased risk of family history of PBT with these four SNPs in the combined data set (P(trend) <1.0 × 10(-8)). The results support the linkage finding that some loci in the 12p13.33-12.1 and 17q12-q21.32 may contribute to gliomagenesis and suggest potential target genes underscoring linkage signals.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Melissa L, Bondy
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas (Yanhong Liu, Michael E Scheurer, Spiridon Tsavachidis, Georgina N Armstrong, Ching C Lau, Melissa L Bondy); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department Health and Human Services, Bethesda, Maryland (Preetha Rajaraman, Zhaoming Wang, Martha Linet, Stephen Chanock); Departments of Biostatistics (Sanjay Shete), Genetics (Christopher I. Amos), The University of Texas MD Anderson Cancer Center, Houston, Texas; Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, United Kingdom (Richard S. Houlston, Fay J Hosking); Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut (Elizabeth B. Claus); Department of Neurosurgery, Brigham and Women’s Hospital, Boston, Massachusetts (Elizabeth B. Claus); Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio (Jill Barnholtz-Sloan); The Neurological Institute of Columbia University, New York, New York (Rose Lai); Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina (Dora Il’yasova, Joellen Schildkraut); Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel (Siegal Sadetzki); and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel (Siegal Sadetzki); Danish Cancer Society, Department of Neurology, Copenhagen, Denmark (Christoffer Johansen); Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York (Jonine L. Bernstein, Sara H. Olson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Robert B. Jenkins, Daniel LaChance); Evanston Kellogg Cancer Care Center NorthShore University HealthSystem, Evanston, Illinois (Nicholas A Vick); Department of Neurological Surgery, University of California, San Francisco, San Francisco, California (Margaret Wrensch); Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois (Bridget J McCarthy, Faith Davis); Department of Radiation Sciences Oncology, Umeå University, Umeå, Sweden (Beatrice S. Melin, Ulrika Andersson); Arizona Cancer Center, University of Arizona, Tucson, Arizona (Patricia A. Thompson)
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