1
|
Turner MC, Radzikowska U, Ferastraoaru DE, Pascal M, Wesseling P, McCraw A, Backes C, Bax HJ, Bergmann C, Bianchini R, Cari L, de Las Vecillas L, Izquierdo E, Lind-Holm Mogensen F, Michelucci A, Nazarov PV, Niclou SP, Nocentini G, Ollert M, Preusser M, Rohr-Udilova N, Scafidi A, Toth R, Van Hemelrijck M, Weller M, Jappe U, Escribese MM, Jensen-Jarolim E, Karagiannis SN, Poli A. AllergoOncology: Biomarkers and refined classification for research in the allergy and glioma nexus-A joint EAACI-EANO position paper. Allergy 2024; 79:1419-1439. [PMID: 38263898 DOI: 10.1111/all.15994] [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: 11/08/2023] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 01/25/2024]
Abstract
Epidemiological studies have explored the relationship between allergic diseases and cancer risk or prognosis in AllergoOncology. Some studies suggest an inverse association, but uncertainties remain, including in IgE-mediated diseases and glioma. Allergic disease stems from a Th2-biased immune response to allergens in predisposed atopic individuals. Allergic disorders vary in phenotype, genotype and endotype, affecting their pathophysiology. Beyond clinical manifestation and commonly used clinical markers, there is ongoing research to identify novel biomarkers for allergy diagnosis, monitoring, severity assessment and treatment. Gliomas, the most common and diverse brain tumours, have in parallel undergone changes in classification over time, with specific molecular biomarkers defining glioma subtypes. Gliomas exhibit a complex tumour-immune interphase and distinct immune microenvironment features. Immunotherapy and targeted therapy hold promise for primary brain tumour treatment, but require more specific and effective approaches. Animal studies indicate allergic airway inflammation may delay glioma progression. This collaborative European Academy of Allergy and Clinical Immunology (EAACI) and European Association of Neuro-Oncology (EANO) Position Paper summarizes recent advances and emerging biomarkers for refined allergy and adult-type diffuse glioma classification to inform future epidemiological and clinical studies. Future research is needed to enhance our understanding of immune-glioma interactions to ultimately improve patient prognosis and survival.
Collapse
Affiliation(s)
- Michelle C Turner
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Urszula Radzikowska
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
- Christine Kühne - Center for Allergy Research and Education (CK-CARE), Davos, Switzerland
| | - Denisa E Ferastraoaru
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Mariona Pascal
- Immunology Department, Centre de Diagnòstic Biomèdic, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Pieter Wesseling
- Department of Pathology, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
- Laboratory for Childhood Cancer Pathology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Alexandra McCraw
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
| | - Claudine Backes
- National Cancer Registry (Registre National du Cancer (RNC)), Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Public Health Expertise Unit, Department of Precision Health, Cancer Epidemiology and Prevention (EPI CAN), Luxembourg Institute of Health, Strassen, Luxembourg
| | - Heather J Bax
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
| | - Christoph Bergmann
- Department of Otorhinolaryngology, RKM740 Interdisciplinary Clinics, Düsseldorf, Germany
| | - Rodolfo Bianchini
- Center of Pathophysiology, Infectiology and Immunology, Institute of Pathophysiology and Allergy Research, Medical University of Vienna, Vienna, Austria
- The Interuniversity Messerli Research Institute Vienna, University of Veterinary Medecine Vienna, Medical University Vienna, University Vienna, Vienna, Austria
| | - Luigi Cari
- Section of Pharmacology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | | | - Elena Izquierdo
- Institute of Applied Molecular Medicine Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA), Department of Basic Medical Sciences, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Frida Lind-Holm Mogensen
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Faculty of Sciences, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Alessandro Michelucci
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Petr V Nazarov
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Simone P Niclou
- Faculty of Sciences, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- NORLUX Neuro-Oncology laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Giuseppe Nocentini
- Section of Pharmacology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-Sur-Alzette, Luxembourg
- Department of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Nataliya Rohr-Udilova
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
- Liver Cancer (HCC) Study Group Vienna, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Andrea Scafidi
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Faculty of Sciences, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Reka Toth
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Mieke Van Hemelrijck
- Translational Oncology and Urology Research (TOUR), School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Uta Jappe
- Division of Clinical and Molecular Allergology, Priority Research Area Chronic Lung Diseases, Research Center Borstel, Leibniz Lung Center, German Center for Lung Research (DZL), Airway Research Center North (ARCN), Borstel, Germany
- Department of Pneumology, Interdisciplinary Allergy Outpatient Clinic, University of Luebeck, Luebeck, Germany
| | - Maria M Escribese
- Institute of Applied Molecular Medicine Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA), Department of Basic Medical Sciences, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Erika Jensen-Jarolim
- Center of Pathophysiology, Infectiology and Immunology, Institute of Pathophysiology and Allergy Research, Medical University of Vienna, Vienna, Austria
- The Interuniversity Messerli Research Institute Vienna, University of Veterinary Medecine Vienna, Medical University Vienna, University Vienna, Vienna, Austria
| | - Sophia N Karagiannis
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King's College London, Innovation Hub, Guy's Cancer Centre, London, UK
| | - Aurélie Poli
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| |
Collapse
|
2
|
Nakase T, Guerra G, Ostrom QT, Ge T, Melin B, Wrensch M, Wiencke JK, Jenkins RB, Eckel-Passow JE, Bondy ML, Francis SS, Kachuri L. Genome-wide Polygenic Risk Scores Predict Risk of Glioma and Molecular Subtypes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.10.24301112. [PMID: 38260701 PMCID: PMC10802631 DOI: 10.1101/2024.01.10.24301112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background Polygenic risk scores (PRS) aggregate the contribution of many risk variants to provide a personalized genetic susceptibility profile. Since sample sizes of glioma genome-wide association studies (GWAS) remain modest, there is a need to find efficient ways of capturing genetic risk factors using available germline data. Methods We developed a novel PRS (PRS-CS) that uses continuous shrinkage priors to model the joint effects of over 1 million polymorphisms on disease risk and compared it to an approach (PRS-CT) that selects a limited set of independent variants that reach genome-wide significance (P<5×10-8). PRS models were trained using GWAS results stratified by histological (10,346 cases, 14,687 controls) and molecular subtype (2,632 cases, 2,445 controls), and validated in two independent cohorts. Results PRS-CS was consistently more predictive than PRS-CT across glioma subtypes with an average increase in explained variance (R2) of 21%. Improvements were particularly pronounced for glioblastoma tumors, with PRS-CS yielding larger effect sizes (odds ratio (OR)=1.93, P=2.0×10-54 vs. OR=1.83, P=9.4×10-50) and higher explained variance (R2=2.82% vs. R2=2.56%). Individuals in the 95th percentile of the PRS-CS distribution had a 3-fold higher lifetime absolute risk of IDH mutant (0.63%) and IDH wildtype (0.76%) glioma relative to individuals with average PRS. PRS-CS also showed high classification accuracy for IDH mutation status among cases (AUC=0.895). Conclusions Our novel genome-wide PRS may improve the identification of high-risk individuals and help distinguish between prognostic glioma subtypes, increasing the potential clinical utility of germline genetics in glioma patient management.
Collapse
Affiliation(s)
- Taishi Nakase
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Geno Guerra
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Quinn T. Ostrom
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology Umeå University, Umeå, Sweden
| | - Margaret Wrensch
- Department of Neurological Surgery, 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
| | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Melissa L. Bondy
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephen S. Francis
- 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
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Linda Kachuri
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| |
Collapse
|
3
|
Yin L, Xu Y, Yin J, Cheng H, Xiao W, Wu Y, Ji D, Gao S. Construction and validation of a risk model based on the key SNARE proteins to predict the prognosis and immune microenvironment of gliomas. Front Mol Neurosci 2023; 16:1304224. [PMID: 38115820 PMCID: PMC10728289 DOI: 10.3389/fnmol.2023.1304224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/08/2023] [Indexed: 12/21/2023] Open
Abstract
Background Synaptic transmission between neurons and glioma cells can promote glioma progression. The soluble N-ethylmaleimide-sensitive fusion factor attachment protein receptors (SNARE) play a key role in synaptic functions. We aimed to construct and validate a novel model based on the SNARE proteins to predict the prognosis and immune microenvironment of glioma. Methods Differential expression analysis and COX regression analysis were used to identify key SRGs in glioma datasets, and we constructed a prognostic risk model based on the key SRGs. The prognostic value and predictive performance of the model were assessed in The Cancer Genome Atlas (TCGA) and Chinese glioma Genome Atlas (CGGA) datasets. Functional enrichment analysis and immune-related evaluation were employed to reveal the association of risk scores with tumor progression and microenvironment. A prognostic nomogram containing the risk score was established and assessed by calibration curves and time-dependent receiver operating characteristic curves. We verified the changes of the key SRGs in glioma specimens and cells by real-time quantitative PCR and Western blot analyses. Results Vesicle-associated membrane protein 2 (VAMP2) and vesicle-associated membrane protein 5 (VAMP5) were identified as two SRGs affecting the prognoses of glioma patients. High-risk patients characterized by higher VAMP5 and lower VAMP2 expression had a worse prognosis. Higher risk scores were associated with older age, higher tumor grades, IDH wild-type, and 1p19q non-codeletion. The SRGs risk model showed an excellent predictive performance in predicting the prognosis in TCGA and CGGA datasets. Differentially expressed genes between low- and high-risk groups were mainly enriched in the pathways related to immune infiltration, tumor metastasis, and neuronal activity. Immune score, stromal score, estimate score, tumor mutational burden, and expression of checkpoint genes were positively correlated with risk scores. The nomogram containing the risk score showed good performance in predicting the prognosis of glioma. Low VAMP2 and high VAMP5 were found in different grades of glioma specimens and cell lines. Conclusion We constructed and validated a novel risk model based on the expression of VAMP2 and VAMP5 by bioinformatics analysis and experimental confirmation. This model might be helpful for clinically predicting the prognosis and response to immunotherapy of glioma patients.
Collapse
Affiliation(s)
- Luxin Yin
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou, China
| | - Yiqiang Xu
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou, China
| | - Jiale Yin
- Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou, China
| | - Hai Cheng
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Weihan Xiao
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yue Wu
- Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou, China
- Department of Neurosurgery, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Daofei Ji
- Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou, China
- Department of Neurosurgery, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Shangfeng Gao
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou, China
| |
Collapse
|
4
|
Kachuri L, Guerra GA, Wendt GA, Hansen HM, Molinaro AM, Bracci P, McCoy L, Rice T, Wiencke JK, Eckel-Passow JE, Jenkins RB, Wrensch M, Francis SS. Genetic predisposition to altered blood cell homeostasis is associated with glioma risk and survival. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.15.23296448. [PMID: 37905116 PMCID: PMC10614986 DOI: 10.1101/2023.10.15.23296448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Glioma is a highly fatal brain tumor comprised of molecular subtypes with distinct clinical trajectories. Observational studies have suggested that variability in immune response may play a role in glioma etiology. However, their findings have been inconsistent and susceptible to reverse causation due to treatment effects and the immunosuppressive nature of glioma. We applied genetic variants associated (p<5×10-8) with blood cell traits to a meta-analysis of 3418 glioma cases and 8156 controls. Genetically predicted increase in the platelet to lymphocyte ratio (PLR) was associated with an increased risk of glioma (odds ratio (OR)=1.25, p=0.005), especially in IDH-mutant (IDHmut OR=1.38, p=0.007) and IDHmut 1p/19q non-codeleted (IDHmut-noncodel OR=1.53, p=0.004) tumors. However, reduced glioma risk was observed for higher counts of lymphocytes (IDHmut-noncodel OR=0.70, p=0.004) and neutrophils (IDHmut OR=0.69, p=0.019; IDHmut-noncodel OR=0.60, p=0.009), which may reflect genetic predisposition to enhanced immune-surveillance. In contrast to susceptibility, there was no association with survival in IDHmut-noncodel; however, in IDHmut 1p/19q co-deleted tumors, we observed higher mortality with increasing genetically predicted counts of lymphocytes (hazard ratio (HR)=1.65, 95% CI: 1.24-2.20), neutrophils (HR=1.49, 1.13-1.97), and eosinophils (HR=1.59, 1.18-2.14). Polygenic scores for blood cell traits were also associated with tumor immune microenvironment features, with heterogeneity by IDH status observed for 17 signatures related to interferon signaling, PD-1 expression, and T-cell/Cytotoxic responses. In summary, we identified novel, immune-mediated susceptibility mechanisms for glioma with potential disease management implications.
Collapse
Affiliation(s)
- Linda Kachuri
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Geno A. Guerra
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA
| | - George A. Wendt
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
| | - Helen M. Hansen
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
| | - Annette M. Molinaro
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA
| | - Paige Bracci
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA
| | - Lucie McCoy
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
| | - Terri Rice
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
| | - John K. Wiencke
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, US
| | | | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
| | - Stephen S. Francis
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, US
| |
Collapse
|
5
|
Guerra G, McCoy L, Hansen HM, Rice T, Molinaro AM, Wiemels JL, Wiencke JK, Wrensch M, Francis SS. Antibodies to varicella-zoster virus and three other herpesviruses and survival in adults with glioma. Neuro Oncol 2023; 25:1047-1057. [PMID: 36610073 PMCID: PMC10237424 DOI: 10.1093/neuonc/noac283] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Lifetime exposure to the varicella-zoster virus (VZV) has been consistently inversely associated with glioma risk, however, the relationship of VZV with survival in adults with glioma has not been investigated. In this study, we analyzed the survival of adults with glioma in relation to their antibody measurements to 4 common herpes viral infections, including VZV, measured post-diagnosis. METHODS We analyzed IgG antibody measurements to VZV, cytomegalovirus (CMV), herpes simplex virus 1/2 (HSV), and Epstein-Barr virus (EBV) collected from 1378 adults with glioma diagnosed between 1991 and 2010. Blood was obtained a median of 3 months after surgery. Associations of patient IgG levels with overall survival were estimated using Cox models adjusted for age, sex, self-reported race, surgery type, dexamethasone usage at blood draw, and tumor grade. Models were stratified by recruitment series and meta-analyzed to account for time-dependent treatment effects. RESULTS VZV antibody seropositivity was associated with improved survival outcomes in adults with glioma (Hazard ratio, HR = 0.70, 95% Confidence Interval 0.54-0.90, P = .006). Amongst cases who were seropositive for VZV antibodies, survival was significantly improved for those above the 25th percentile of continuous reactivity measurements versus those below (HR = 0.76, 0.66-0.88, P = .0003). Antibody seropositivity to EBV was separately associated with improved survival (HR = 0.71, 0.53-0.96, P = .028). Antibody positivity to 2 other common viruses (CMV, HSV) was not associated with altered survival. CONCLUSIONS Low levels of VZV or EBV antibodies are associated with poorer survival outcomes for adults with glioma. Differential immune response rather than viral exposure may explain these findings.
Collapse
Affiliation(s)
- Geno Guerra
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Lucie McCoy
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Helen M Hansen
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Terri Rice
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Joseph L Wiemels
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Institute of Human Genetics, University of California San Francisco, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Institute of Human Genetics, University of California San Francisco, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Stephen S Francis
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| |
Collapse
|
6
|
Cheng L, Zhang F, Zhao X, Wang L, Duan W, Guan J, Wang K, Liu Z, Wang X, Wang Z, Wu H, Chen Z, Teng L, Li Y, Xiao F, Fan T, Jian F. Mutational landscape of primary spinal cord astrocytoma. J Pathol 2023. [PMID: 37114614 DOI: 10.1002/path.6084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/13/2023] [Accepted: 03/31/2023] [Indexed: 04/29/2023]
Abstract
Primary spinal cord astrocytoma (SCA) is a rare disease. Knowledge about the molecular profiles of SCAs mostly comes from intracranial glioma; the pattern of genetic alterations of SCAs is not well understood. Herein, we describe genome-sequencing analyses of primary SCAs, aiming to characterize the mutational landscape of primary SCAs. We utilized whole exome sequencing (WES) to analyze somatic nucleotide variants (SNVs) and copy number variants (CNVs) among 51 primary SCAs. Driver genes were searched using four algorithms. GISTIC2 was used to detect significant CNVs. Additionally, recurrently mutated pathways were also summarized. A total of 12 driver genes were identified. Of those, H3F3A (47.1%), TP53 (29.4%), NF1 (19.6%), ATRX (17.6%), and PPM1D (17.6%) were the most frequently mutated genes. Furthermore, three novel driver genes seldom reported in glioma were identified: HNRNPC, SYNE1, and RBM10. Several germline mutations, including three variants (SLC16A8 rs2235573, LMF1 rs3751667, FAM20C rs774848096) that were associated with risk of brain glioma, were frequently observed in SCAs. Moreover, 12q14.1 (13.7%) encompassing the oncogene CDK4 was recurrently amplified and negatively affected patient prognosis. Besides frequently mutated RTK/RAS pathway and PI3K pathway, the cell cycle pathway controlling the phosphorylation of retinoblastoma protein (RB) was mutated in 39.2% of patients. Overall, a considerable degree of the somatic mutation landscape is shared between SCAs and brainstem glioma. Our work provides a key insight into the molecular profiling of primary SCAs, which might represent candidate drug targets and complement the molecular atlas of glioma. © 2023 The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Lei Cheng
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Fan Zhang
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, PR China
| | - Xingang Zhao
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, PR China
| | - Leiming Wang
- Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing, PR China
| | - Wanru Duan
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Jian Guan
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Kai Wang
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Zhenlei Liu
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Xingwen Wang
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Zuowei Wang
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Hao Wu
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Zan Chen
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| | - Lianghong Teng
- Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing, PR China
| | - Yifei Li
- The Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Fei Xiao
- The Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Tao Fan
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, PR China
| | - Fengzeng Jian
- Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, Beijing, PR China
| |
Collapse
|
7
|
Mo Z, Xin J, Chai R, Woo PY, Chan DT, Wang J. Epidemiological characteristics and genetic alterations in adult diffuse glioma in East Asian populations. Cancer Biol Med 2022; 19:1440-1459. [PMID: 36350002 PMCID: PMC9630523 DOI: 10.20892/j.issn.2095-3941.2022.0418] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 09/20/2022] [Indexed: 05/06/2024] Open
Abstract
Understanding the racial specificities of diseases-such as adult diffuse glioma, the most common primary malignant tumor of the central nervous system-is a critical step toward precision medicine. Here, we comprehensively review studies of gliomas in East Asian populations and other ancestry groups to clarify the racial differences in terms of epidemiology and genomic characteristics. Overall, we observed a lower glioma incidence in East Asians than in Whites; notably, patients with glioblastoma had significantly younger ages of onset and longer overall survival than the Whites. Multiple genome-wide association studies of various cohorts have revealed single nucleotide polymorphisms associated with overall and subtype-specific glioma susceptibility. Notably, only 3 risk loci-5p15.33, 11q23.3, and 20q13.33-were shared between patients with East Asian and White ancestry, whereas other loci predominated only in particular populations. For instance, risk loci 12p11.23, 15q15-21.1, and 19p13.12 were reported in East Asians, whereas risk loci 8q24.21, 1p31.3, and 1q32.1 were reported in studies in White patients. Although the somatic mutational profiles of gliomas between East Asians and non-East Asians were broadly consistent, a lower incidence of EGFR amplification in glioblastoma and a higher incidence of 1p19q-IDH-TERT triple-negative low-grade glioma were observed in East Asian cohorts. By summarizing large-scale disease surveillance, germline, and somatic genomic studies, this review reveals the unique characteristics of adult diffuse glioma among East Asians, to guide clinical management and policy design focused on patients with East Asian ancestry.
Collapse
Affiliation(s)
- Zongchao Mo
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen 518000, China
| | - Junyi Xin
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Ruichao Chai
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
| | - Peter Y.M. Woo
- Department of Neurosurgery, Kwong Wah Hospital, Hong Kong SAR, China
- Hong Kong Neuro-Oncology Society, Hong Kong SAR, China
| | - Danny T.M. Chan
- Division of Neurosurgery, Department of Surgery, Prince of Wales Hospital, Hong Kong SAR, China
| | - Jiguang Wang
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen 518000, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong SAR, China
| |
Collapse
|
8
|
Yanchus C, Drucker KL, Kollmeyer TM, Tsai R, Winick-Ng W, Liang M, Malik A, Pawling J, De Lorenzo SB, Ali A, Decker PA, Kosel ML, Panda A, Al-Zahrani KN, Jiang L, Browning JWL, Lowden C, Geuenich M, Hernandez JJ, Gosio JT, Ahmed M, Loganathan SK, Berman J, Trcka D, Michealraj KA, Fortin J, Carson B, Hollingsworth EW, Jacinto S, Mazrooei P, Zhou L, Elia A, Lupien M, He HH, Murphy DJ, Wang L, Abyzov A, Dennis JW, Maass PG, Campbell K, Wilson MD, Lachance DH, Wrensch M, Wiencke J, Mak T, Pennacchio LA, Dickel DE, Visel A, Wrana J, Taylor MD, Zadeh G, Dirks P, Eckel-Passow JE, Attisano L, Pombo A, Ida CM, Kvon EZ, Jenkins RB, Schramek D. A noncoding single-nucleotide polymorphism at 8q24 drives IDH1-mutant glioma formation. Science 2022; 378:68-78. [PMID: 36201590 PMCID: PMC9926876 DOI: 10.1126/science.abj2890] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Establishing causal links between inherited polymorphisms and cancer risk is challenging. Here, we focus on the single-nucleotide polymorphism rs55705857, which confers a sixfold greater risk of isocitrate dehydrogenase (IDH)-mutant low-grade glioma (LGG). We reveal that rs55705857 itself is the causal variant and is associated with molecular pathways that drive LGG. Mechanistically, we show that rs55705857 resides within a brain-specific enhancer, where the risk allele disrupts OCT2/4 binding, allowing increased interaction with the Myc promoter and increased Myc expression. Mutating the orthologous mouse rs55705857 locus accelerated tumor development in an Idh1R132H-driven LGG mouse model from 472 to 172 days and increased penetrance from 30% to 75%. Our work reveals mechanisms of the heritable predisposition to lethal glioma in ~40% of LGG patients.
Collapse
Affiliation(s)
- Connor Yanchus
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Kristen L. Drucker
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Thomas M. Kollmeyer
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ricky Tsai
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Warren Winick-Ng
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 13092 Berlin, Germany
| | - Minggao Liang
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Ahmad Malik
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Judy Pawling
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Silvana B. De Lorenzo
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Asma Ali
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Paul A. Decker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Matt L. Kosel
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Arijit Panda
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Khalid N. Al-Zahrani
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Lingyan Jiang
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Jared W. L. Browning
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Chris Lowden
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Michael Geuenich
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - J. Javier Hernandez
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Jessica T. Gosio
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | | | - Sampath Kumar Loganathan
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Jacob Berman
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Daniel Trcka
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | | | - Jerome Fortin
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Brittany Carson
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Ethan W. Hollingsworth
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92617, USA
| | - Sandra Jacinto
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92617, USA
| | - Parisa Mazrooei
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Lily Zhou
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Andrew Elia
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Mathieu Lupien
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
- Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Housheng Hansen He
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Daniel J. Murphy
- Institute of Cancer Sciences, University of Glasgow, Glasgow G61 1BD, Scotland, UK
- Cancer Research UK Beatson Institute, Glasgow G61 1BD, Scotland, UK
| | - Liguo Wang
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Alexej Abyzov
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - James W. Dennis
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Philipp G. Maass
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Kieran Campbell
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Michael D. Wilson
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Daniel H. Lachance
- Departments of Neurology and Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
| | - John Wiencke
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
| | - Tak Mak
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Len A. Pennacchio
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710, USA
- Comparative Biochemistry Program, University of California, Berkeley, CA 94720, USA
- US Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
| | - Diane E. Dickel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710, USA
| | - Axel Visel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710, USA
- US Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
- School of Natural Sciences, University of California, Merced, CA 95343, USA
| | - Jeffrey Wrana
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Michael D. Taylor
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Gelareh Zadeh
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Peter Dirks
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | | | - Liliana Attisano
- Department of Biochemistry, University of Toronto, Toronto, ON M5S 1A8, Canada
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Ana Pombo
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 13092 Berlin, Germany
- Institute of Biology, Humboldt University of Berlin, 10115 Berlin, Germany
| | - Cristiane M. Ida
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Evgeny Z. Kvon
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92617, USA
| | - Robert B. Jenkins
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Daniel Schramek
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| |
Collapse
|
9
|
Eckel-Passow JE, Lachance DH, Decker PA, Kollmeyer TM, Kosel ML, Drucker KL, Slager S, Wrensch M, Tobin WO, Jenkins RB. Inherited genetics of adult diffuse glioma and polygenic risk scores-a review. Neurooncol Pract 2022; 9:259-270. [PMID: 35859544 PMCID: PMC9290891 DOI: 10.1093/nop/npac017] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Knowledge about inherited and acquired genetics of adult diffuse glioma has expanded significantly over the past decade. Genomewide association studies (GWAS) stratified by histologic subtype identified six germline variants that were associated specifically with glioblastoma (GBM) and 12 that were associated with lower grade glioma. A GWAS performed using the 2016 WHO criteria, stratifying patients by IDH mutation and 1p/19q codeletion (as well as TERT promoter mutation), discovered that many of the known variants are associated with specific WHO glioma subtypes. In addition, the GWAS stratified by molecular group identified two additional novel regions: variants in D2HGDH that were associated with tumors that had an IDH mutation and a variant near FAM20C that was associated with tumors that had both IDH mutation and 1p/19q codeletion. The results of these germline associations have been used to calculate polygenic risk scores, from which to estimate relative and absolute risk of overall glioma and risk of specific glioma subtypes. We will review the concept of polygenic risk models and their potential clinical utility, as well as discuss the published adult diffuse glioma polygenic risk models. To date, these prior genetic studies have been done on European populations. Using the published glioma polygenic risk model, we show that the genetic associations published to date do not generalize across genetic ancestries, demonstrating that genetic studies need to be done on more diverse populations.
Collapse
Affiliation(s)
- Jeanette E Eckel-Passow
- Corresponding Author: Jeanette E. Eckel-Passow, PhD, Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA ()
| | - Daniel H Lachance
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Paul A Decker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Matthew L Kosel
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Kristen L Drucker
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Susan Slager
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, Institute of Human Genetics, University of California, San Francisco, San Francisco, California, USA
| | | | | |
Collapse
|
10
|
Guerra G, Kachuri L, Wendt G, Hansen HM, Mack SJ, Molinaro AM, Rice T, Bracci P, Wiencke JK, Kasahara N, Eckel-Passow JE, Jenkins RB, Wrensch M, Francis SS. The immunogenetics of viral antigen response is associated with subtype-specific glioma risk and survival. Am J Hum Genet 2022; 109:1105-1116. [PMID: 35550063 PMCID: PMC9247888 DOI: 10.1016/j.ajhg.2022.04.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/18/2022] [Indexed: 12/14/2022] Open
Abstract
Glioma is a highly fatal cancer with prognostically significant molecular subtypes and few known risk factors. Multiple studies have implicated infections in glioma susceptibility, but evidence remains inconsistent. Genetic variants in the human leukocyte antigen (HLA) region modulate host response to infection and have been linked to glioma risk. In this study, we leveraged genetic predictors of antibody response to 12 viral antigens to investigate the relationship with glioma risk and survival. Genetic reactivity scores (GRSs) for each antigen were derived from genome-wide-significant (p < 5 × 10-8) variants associated with immunoglobulin G antibody response in the UK Biobank cohort. We conducted parallel analyses of glioma risk and survival for each GRS and HLA alleles imputed at two-field resolution by using data from 3,418 glioma-affected individuals subtyped by somatic mutations and 8,156 controls. Genetic reactivity scores to Epstein-Barr virus (EBV) ZEBRA and EBNA antigens and Merkel cell polyomavirus (MCV) VP1 antigen were associated with glioma risk and survival (Bonferroni-corrected p < 0.01). GRSZEBRA and GRSMCV were associated in opposite directions with risk of IDH wild-type gliomas (ORZEBRA = 0.91, p = 0.0099/ORMCV = 1.11, p = 0.0054). GRSEBNA was associated with both increased risk for IDH mutated gliomas (OR = 1.09, p = 0.040) and improved survival (HR = 0.86, p = 0.010). HLA-DQA1∗03:01 was significantly associated with decreased risk of glioma overall (OR = 0.85, p = 3.96 × 10-4) after multiple testing adjustment. This systematic investigation of the role of genetic determinants of viral antigen reactivity in glioma risk and survival provides insight into complex immunogenomic mechanisms of glioma pathogenesis. These results may inform applications of antiviral-based therapies in glioma treatment.
Collapse
Affiliation(s)
- Geno Guerra
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - George Wendt
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Helen M Hansen
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Steven J Mack
- Department of Pediatrics, University of California, San Francisco, Oakland, CA, USA
| | - 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
| | - Terri Rice
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Paige Bracci
- Department of Epidemiology and Biostatistics, 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; 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
| | - Nori Kasahara
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA
| | | | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Margaret Wrensch
- 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
| | - Stephen S Francis
- 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; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA.
| |
Collapse
|
11
|
Feng J, Zhou J, Zhao L, Wang X, Ma D, Xu B, Xie F, Qi X, Chen G, Zhao H, Wu J. Fam20C Overexpression Predicts Poor Outcomes and is a Diagnostic Biomarker in Lower-Grade Glioma. Front Genet 2022; 12:757014. [PMID: 34970298 PMCID: PMC8712682 DOI: 10.3389/fgene.2021.757014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/18/2021] [Indexed: 02/05/2023] Open
Abstract
Glioma is a relatively low aggressive brain tumor. Although the median survival time of patients for lower-grade glioma (LGG) was longer than that of patients for glioblastoma, the overall survival was still short. Therefore, it is urgent to find out more effective molecular prognostic markers. The role of the Fam20 kinase family in different tumors was an emerging research field. However, the biological function of Fam20C and its prognostic value in brain tumors have rarely been reported. This study aimed to evaluate the value of Fam20C as a potential prognostic marker for LGG. A total of 761 LGG samples (our cohort, TCGA and CGGA) were included to investigate the expression and role of Fam20C in LGG. We found that Fam20C was drastically overexpressed in LGG and was positively associated with its clinical progression. Kaplan-Meier analysis and a Cox regression model were employed to evaluate its prognostic value, and Fam20C was found as an independent risk factor in LGG patients. Gene set enrichment analysis also revealed the potential signaling pathways associated with Fam20C gene expression in LGG; these pathways were mainly enriched in extracellular matrix receptor interactions, cell adhesion, cell apoptosis, NOTCH signaling, cell cycle, etc. In summary, our findings provide insights for understanding the potential role of Fam20C and its application as a new prognostic biomarker for LGG.
Collapse
Affiliation(s)
- Jing Feng
- Department of Radiation Oncology, The Third Clinical Medical College of Fujian Medical University, Fuzhou, China.,The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Jinping Zhou
- Department of Clinical Quality Management, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Lin Zhao
- Department of Neurosurgery, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Xinpeng Wang
- Department of Radiation Oncology, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Danyu Ma
- Department of Radiation Oncology, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Baoqing Xu
- Department of Pathology, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Feilai Xie
- Department of Pathology, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Xingfeng Qi
- Department of Pathology, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Gang Chen
- Department of Pathology, The 900th Hospital of Joint Logistic Support Force, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Hu Zhao
- Department of General Surgery, The 900th Hospital of Joint Logistic Support Force, PLA, Fujian Medical University, Fuzhou, China
| | - Junxin Wu
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, The Third Clinical Medical College of Fujian Medical University, Fuzhou, China.,Fujian Key Laboratory of Translational Cancer Medical, Fujian Cancer Hospital, Fujian Provincial Clinical Research Center for Cancer Radiotherapy and Immunotherapy, Fuzhou, China
| |
Collapse
|
12
|
Saunders CN, Kinnersley B, Culliford R, Cornish AJ, Law PJ, Houlston RS. Relationship between genetically determined telomere length and glioma risk. Neuro Oncol 2021; 24:171-181. [PMID: 34477880 PMCID: PMC8804896 DOI: 10.1093/neuonc/noab208] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background Telomere maintenance is increasingly recognized as being fundamental to glioma oncogenesis with longer leukocyte telomere length (LTL) reported to increase risk of glioma. To gain further insight into the relationship between telomere genetics and risk of glioma, we conducted several complementary analyses, using genome-wide association studies data on LTL (78 592 individuals) and glioma (12 488 cases and 18 169 controls). Methods We performed both classical and summary Mendelian randomization (SMR), coupled with heterogeneity in dependent instruments tests, at genome-wide significant LTL loci to examine if an association was mediated by the same causal variant in glioma. To prioritize genes underscoring glioma-LTL associations, we analyzed gene expression and DNA methylation data. Results Genetically increased LTL was significantly associated with increased glioma risk, random-effects inverse variance weighted ORs per 1 SD unit increase in the putative risk factor (odds ratio [OR]SD) 4.79 (95% confidence interval: 2.11-10.85; P = 1.76 × 10−4). SMR confirmed the previously reported LTL associations at 3q26.2 (TERC; PSMR = 1.33 × 10−5), 5p15.33 (TERT; PSMR = 9.80 × 10−27), 10q24.33 (STN1 alias OBFC1; PSMR = 4.31 × 10−5), and 20q13.3 (STMN3/RTEL1; PSMR = 2.47 × 10−4) glioma risk loci. Our analysis implicates variation at 1q42.12 (PSMR = 1.55 × 10−2), 6p21.3 (PSMR = 9.76 × 10−3), 6p22.2 (PSMR = 5.45 × 10−3), 7q31.33 (PSMR = 6.52 × 10−3), and 11q22.3 (PSMR = 8.89 × 10−4) as risk factors for glioma risk. While complicated by patterns of linkage disequilibrium, genetic variation involving PARP1, PRRC2A, CARMIL1, POT1, and ATM-NPAT1 was implicated in the etiology of glioma. Conclusions These observations extend the role of telomere-related genes in the development of glioma.
Collapse
Affiliation(s)
- Charlie N Saunders
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Richard Culliford
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| |
Collapse
|
13
|
Eckel-Passow JE, Lachance DH, Jenkins RB. Glioma: interaction of acquired and germline genetics. Aging (Albany NY) 2021; 13:19085-19087. [PMID: 34385404 PMCID: PMC8386538 DOI: 10.18632/aging.203428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/10/2021] [Indexed: 01/22/2023]
Affiliation(s)
| | - Daniel H Lachance
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.,Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| |
Collapse
|
14
|
Ostrom QT, Edelson J, Byun J, Han Y, Kinnersley B, Melin B, Houlston RS, Monje M, Walsh KM, Amos CI, Bondy ML. Partitioned glioma heritability shows subtype-specific enrichment in immune cells. Neuro Oncol 2021; 23:1304-1314. [PMID: 33743008 PMCID: PMC8328033 DOI: 10.1093/neuonc/noab072] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Epidemiological studies of adult glioma have identified genetic syndromes and 25 heritable risk loci that modify individual risk for glioma, as well increased risk in association with exposure to ionizing radiation and decreased risk in association with allergies. In this analysis, we assess whether there is a shared genome-wide genetic architecture between glioma and atopic/autoimmune diseases. METHODS Using summary statistics from a glioma genome-wide association studies (GWAS) meta-analysis, we identified significant enrichment for risk variants associated with gene expression changes in immune cell populations. We also estimated genetic correlations between glioma and autoimmune, atopic, and hematologic traits using linkage disequilibrium score regression (LDSC), which leverages genome-wide single-nucleotide polymorphism (SNP) associations and patterns of linkage disequilibrium. RESULTS Nominally significant negative correlations were observed for glioblastoma (GB) and primary biliary cirrhosis (rg = -0.26, P = .0228), and for non-GB gliomas and celiac disease (rg = -0.32, P = .0109). Our analyses implicate dendritic cells (GB pHM = 0.0306 and non-GB pHM = 0.0186) in mediating both GB and non-GB genetic predisposition, with GB-specific associations identified in natural killer (NK) cells (pHM = 0.0201) and stem cells (pHM = 0.0265). CONCLUSIONS This analysis identifies putative new associations between glioma and autoimmune conditions with genomic architecture that is inversely correlated with that of glioma and that T cells, NK cells, and myeloid cells are involved in mediating glioma predisposition. This provides further evidence that increased activation of the acquired immune system may modify individual susceptibility to glioma.
Collapse
Affiliation(s)
- Quinn T Ostrom
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Jacob Edelson
- Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, California, USA
| | - Jinyoung Byun
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Younghun Han
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, London, UK
| | - Beatrice Melin
- Department of Radiation Sciences - Oncology, Umea University, Umea, Sweden
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, London, UK
| | - Michelle Monje
- Department of Neurology, Neurosurgery, Pediatrics and Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Kyle M Walsh
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Christopher I Amos
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Melissa L Bondy
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
| |
Collapse
|