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Bracci PM, Rice T, Hansen HM, Francis SS, Lee S, McCoy LS, Shrestha PP, Warrier G, Clarke JL, Molinaro AM, Taylor JW, Wiencke JK, Wrensch MR. Pre-surgery immune profiles of adult glioma patients. J Neurooncol 2022; 159:103-115. [PMID: 35716311 PMCID: PMC9325836 DOI: 10.1007/s11060-022-04047-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 05/24/2022] [Indexed: 10/26/2022]
Abstract
INTRODUCTION Although immunosuppression is a known characteristic of glioma, no previous large studies have reported peripheral blood immune cell profiles prior to patient surgery and chemoradiation. This report describes blood immune cell characteristics and associated variables prior to surgery among typical glioma patients seen at a large University practice. METHODS We analyzed pre-surgery blood samples from 139 glioma patients diagnosed with a new or recurrent grade II/III glioma (LrGG, n = 64) or new glioblastoma (GBM, n = 75) and 454 control participants without glioma. Relative cell fractions of CD4, CD8, B-cells, Natural Killer cells, monocytes, and neutrophils, were estimated via a validated deconvolution algorithm from blood DNA methylation measures from Illumina EPIC arrays. RESULTS Dexamethasone use at time of blood draw varied by glioma type being highest among patients with IDH wild-type (wt) GBM (75%) and lowest for those with oligodendroglioma (14%). Compared to controls, glioma patients showed statistically significant lower cell fractions for all immune cell subsets except for neutrophils which were higher (all p-values < 0.001), in part because of the higher prevalence of dexamethasone use at time of blood draw for IDHwt GBM. Patients who were taking dexamethasone were more likely to have a low CD4 count (< 200, < 500), increased neutrophils, low absolute lymphocyte counts, higher total cell count and higher NLR. CONCLUSION We show that pre-surgery blood immune profiles vary by glioma subtype, age, and more critically, by use of dexamethasone. Our results highlight the importance of considering dexamethasone exposures in all studies of immune profiles and of obtaining immune measures prior to use of dexamethasone, if possible.
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Affiliation(s)
- Paige M Bracci
- Department of Epidemiology and Biostatistics, UCSF, 1450 3rd Street, San Francisco, CA, 94158, USA.
| | - Terri Rice
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
| | - Helen M Hansen
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
| | | | - Sean Lee
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
| | - Lucie S McCoy
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
| | - Pavan P Shrestha
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
| | - Gayathri Warrier
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
| | - Jennifer L Clarke
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
- Department of Neurology, UCSF, San Francisco, CA, USA
| | - Annette M Molinaro
- Department of Epidemiology and Biostatistics, UCSF, 1450 3rd Street, San Francisco, CA, 94158, USA
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
| | - Jennie W Taylor
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
- Department of Neurology, UCSF, San Francisco, CA, USA
| | - John K Wiencke
- Department of Neurological Surgery, UCSF, San Francisco, CA, USA
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Whitehead TP, Wiemels JL, Zhou M, Kang AY, McCoy LS, Wang R, Fitch B, Petrick LM, Yano Y, Imani P, Rappaport SM, Dahl GV, Kogan SC, Ma X, Metayer C. Cytokine Levels at Birth in Children Who Developed Acute Lymphoblastic Leukemia. Cancer Epidemiol Biomarkers Prev 2021; 30:1526-1535. [PMID: 34078642 DOI: 10.1158/1055-9965.epi-20-1704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 01/27/2021] [Accepted: 05/17/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Prenatal immune development may play an important role in the etiology of childhood acute lymphoblastic leukemia (ALL). METHODS Seven cytokines, IL1β, IL4, IL6, IL8, GM-CSF, TNFα, and VEGF, were analyzed in blood spots collected at birth from 1,020 ALL cases and 1,003 controls participating in the California Childhood Leukemia Study. ORs and 95% confidence intervals (95% CI) associated with an interquartile range increment in cytokine levels were calculated using logistic regression, adjusting for sociodemographic and birth characteristics. RESULTS We found that patients with ALL were born with higher levels of a group of correlated cytokines than controls [IL1β: OR of 1.18 (95% confidence interval [CI], 1.03-1.35); IL8: 1.19 (1.03-1.38); TNFα: 1.15 (1.01-1.30); VEGF: 1.16 (1.01-1.33)], especially among children of Latina mothers (ORs from 1.31 to 1.40) and for ALL with high hyperdiploidy (ORs as high as 1.27). We found that neonatal cytokine levels were correlated with neonatal levels of endogenous metabolites which had been previously associated with ALL risk; however, there was no evidence that the cytokines were mediating the relationship between these metabolites and ALL risk. CONCLUSIONS We posit that children born with altered cytokine levels are set on a trajectory towards an increased risk for subsequent aberrant immune reactions that can initiate ALL. IMPACT This is the first study to evaluate the interplay between levels of immunomodulatory cytokines at birth, prenatal exposures, and the risk of childhood ALL.
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Affiliation(s)
- Todd P Whitehead
- School of Public Health, University of California, Berkeley, Berkeley, California.
| | - Joseph L Wiemels
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mi Zhou
- School of Medicine, University of California, San Francisco, San Francisco, California
| | - Alice Y Kang
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Lucie S McCoy
- School of Medicine, University of California, San Francisco, San Francisco, California
| | - Rong Wang
- Yale School of Public Health, Yale University, New Haven, Connecticut
| | - Briana Fitch
- School of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Yukiko Yano
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Partow Imani
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Stephen M Rappaport
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Gary V Dahl
- Lucile Salter Packard Children's Hospital, Stanford University, Palo Alto, California
| | - Scott C Kogan
- School of Medicine, University of California, San Francisco, San Francisco, California
| | - Xiaomei Ma
- Yale School of Public Health, Yale University, New Haven, Connecticut
| | - Catherine Metayer
- School of Public Health, University of California, Berkeley, Berkeley, California
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Eckel-Passow JE, Drucker KL, Kollmeyer TM, Kosel ML, Decker PA, Molinaro AM, Rice T, Praska CE, Clark L, Caron A, Abyzov A, Batzler A, Song JS, Pekmezci M, Hansen HM, McCoy LS, Bracci PM, Wiemels J, Wiencke JK, Francis S, Burns TC, Giannini C, Lachance DH, Wrensch M, Jenkins RB. Adult diffuse glioma GWAS by molecular subtype identifies variants in D2HGDH and FAM20C. Neuro Oncol 2021; 22:1602-1613. [PMID: 32386320 DOI: 10.1093/neuonc/noaa117] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Twenty-five germline variants are associated with adult diffuse glioma, and some of these variants have been shown to be associated with particular subtypes of glioma. We hypothesized that additional germline variants could be identified if a genome-wide association study (GWAS) were performed by molecular subtype. METHODS A total of 1320 glioma cases and 1889 controls were used in the discovery set and 799 glioma cases and 808 controls in the validation set. Glioma cases were classified into molecular subtypes based on combinations of isocitrate dehydrogenase (IDH) mutation, telomerase reverse transcriptase (TERT) promoter mutation, and 1p/19q codeletion. Logistic regression was applied to the discovery and validation sets to test for associations of variants with each of the subtypes. A meta-analysis was subsequently performed using a genome-wide P-value threshold of 5 × 10-8. RESULTS Nine variants in or near D-2-hydroxyglutarate dehydrogenase (D2HGDH) on chromosome 2 were genome-wide significant in IDH-mutated glioma (most significant was rs5839764, meta P = 2.82 × 10-10). Further stratifying by 1p/19q codeletion status, one variant in D2HGDH was genome-wide significant in IDH-mutated non-codeleted glioma (rs1106639, meta P = 4.96 × 10-8). Further stratifying by TERT mutation, one variant near FAM20C (family with sequence similarity 20, member C) on chromosome 7 was genome-wide significant in gliomas that have IDH mutation, TERT mutation, and 1p/19q codeletion (rs111976262, meta P = 9.56 × 10-9). Thirty-six variants in or near GMEB2 on chromosome 20 near regulator of telomere elongation helicase 1 (RTEL1) were genome-wide significant in IDH wild-type glioma (most significant was rs4809313, meta P = 2.60 × 10-10). CONCLUSIONS Performing a GWAS by molecular subtype identified 2 new regions and a candidate independent region near RTEL1, which were associated with specific glioma molecular subtypes.
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Affiliation(s)
| | - Kristen L Drucker
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Matt L Kosel
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Paul A Decker
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California.,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Terri Rice
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California
| | - Corinne E Praska
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Lauren Clark
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Alissa Caron
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Alexej Abyzov
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Anthony Batzler
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Jun S Song
- Department of Physics, Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Melike Pekmezci
- Department of Pathology, University of California San Francisco, San Francisco, California
| | - Helen M Hansen
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California
| | - Lucie S McCoy
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California
| | - Paige M Bracci
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Joseph Wiemels
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - John K Wiencke
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California.,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.,Institute of Human Genetics, University of California San Francisco, San Francisco, California
| | - Stephen Francis
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California.,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Terry C Burns
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Caterina Giannini
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Daniel H Lachance
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.,Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California.,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.,Institute of Human Genetics, University of California San Francisco, San Francisco, California
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
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4
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Eckel-Passow JE, Drucker KL, Kollmeyer TM, Kosel ML, Decker PA, Molinaro AM, Rice T, Praska CE, Clark LE, Caron AA, Abyzov A, Batzler A, Song JS, Pekmezci M, Hansen HM, McCoy LS, Bracci PM, Wiemels J, Wiencke JK, Francis S, Burns TC, Giannini C, Lachance DH, Wrensch M, Jenkins RB. Abstract 1193: Adult diffuse glioma GWAS by molecular subtype identifies variants in D2HGDH, FAM20C and GMEB2. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-1193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Genome-wide association studies (GWAS) revealed that 25 regions in 24 genes are associated with adult diffuse glioma development. These regions were identified by performing GWAS of glioma overall and by pathology (GBM and nonGBM). The 2016 WHO Classification of Tumors of the Central Nervous System utilizes two somatic alterations to molecularly-classify adult diffuse glioma: IDH mutation and 1p/19q codeletion. We hypothesized that germline variants may increase susceptibility to, or interact with, these somatic alterations to accelerate the development of specific molecular subtypes of glioma. We further hypothesize that germline variants associated with IDH-mutated glioma might be associated with other IDH-mutated tumors, namely, cholangiocarcinoma, acute myeloid leukemia (AML) and melanoma.
Methods: We performed a GWAS by glioma molecular subtype - as defined by presence or absence of IDH somatic mutation and 1p/19q codeletion. A total of 1320 glioma cases and 1889 controls were used in the discovery set, and 799 glioma cases and 808 controls in the validation set. A meta-analysis was performed with a genome-wide p-value threshold of 5 × 10−8. GTEx data were used to perform an expression quantitative trait loci (eQTL) analysis. For germline variants that were significantly associated with IDH-mutated glioma, we evaluated pleiotropy with cholangiocarcinoma, AML and melanoma using TCGA and Mayo Biobank controls.
Results: Variants in or near D2HGDH on chromosome 2 were genome-wide significant in IDH-mutated glioma (meta p-value = 2.82 × 10−10). TCGA reported that the D2HGDH region was commonly deleted in IDH-mutated gliomas that do not have 1p/19q codeletion. In TCGA data for IDH-mutated, non-codeleted glioma, we observed that the D2HGDH variant was inversely associated with tumor deletions of D2HGDH (odds ratio=0.57, p-value=0.015). The eQTL analyses demonstrated significant associations between D2HGDH germline variant and expression of D2HGDH (p=2.2 × 10−11). Further stratifying IDH-mutated glioma by 1p/19q codeletion status, one variant near FAM20C on chromosome 7 was genome-wide significant in gliomas that have IDH mutation and 1p/19q codeletion (meta p-value=9.56 × 10−9). Analyses are currently underway to evaluate pleiotropy of these IDH-mutated glioma germline variants with other IDH-mutated tumors including cholangiocarcinoma, AML and melanoma. Variants in or near GMEB2 on chromosome 20 were genome-wide significant in IDH wild-type glioma (meta p-value=2.60 × 10−10). The most significant variant in the GMEB2 region remained significant after adjustment for the known RTEL1 glioma risk variant nearby on chromosome 20 (p=0.029).
Conclusions: We identified and validated novel germline variants in two genes that are associated with etiology of IDH-mutated and one gene that is associated with IDH wild-type adult diffuse glioma.
Citation Format: Jeanette E. Eckel-Passow, Kristen L. Drucker, Thomas M. Kollmeyer, Matthew L. Kosel, Paul A. Decker, Annette M. Molinaro, Terri Rice, Corrine E. Praska, Lauren E. Clark, Alissa A. Caron, Alexej Abyzov, Anthony Batzler, Jun S. Song, Melike Pekmezci, Helen M. Hansen, Lucie S. McCoy, Paige M. Bracci, Joseph Wiemels, John K. Wiencke, Stephen Francis, Terence C. Burns, Caterina Giannini, Daniel H. Lachance, Margaret Wrensch, Robert B. Jenkins. Adult diffuse glioma GWAS by molecular subtype identifies variants in D2HGDH, FAM20C and GMEB2 [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1193.
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Affiliation(s)
| | | | | | | | | | | | - Terri Rice
- 2University of California San Francisco, San Francisco, CA
| | | | | | | | | | | | | | | | | | - Lucie S. McCoy
- 2University of California San Francisco, San Francisco, CA
| | | | - Joseph Wiemels
- 2University of California San Francisco, San Francisco, CA
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5
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Eckel-Passow JE, Decker PA, Kosel ML, Kollmeyer TM, Molinaro AM, Rice T, Caron AA, Drucker KL, Praska CE, Pekmezci M, Hansen HM, McCoy LS, Bracci PM, Erickson BJ, Lucchinetti CF, Wiemels JL, Wiencke JK, Bondy ML, Melin B, Burns TC, Giannini C, Lachance DH, Wrensch MR, Jenkins RB. Using germline variants to estimate glioma and subtype risks. Neuro Oncol 2019; 21:451-461. [PMID: 30624711 PMCID: PMC6422428 DOI: 10.1093/neuonc/noz009] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Twenty-five single nucleotide polymorphisms (SNPs) are associated with adult diffuse glioma risk. We hypothesized that the inclusion of these 25 SNPs with age at diagnosis and sex could estimate risk of glioma as well as identify glioma subtypes. METHODS Case-control design and multinomial logistic regression were used to develop models to estimate the risk of glioma development while accounting for histologic and molecular subtypes. Case-case design and logistic regression were used to develop models to predict isocitrate dehydrogenase (IDH) mutation status. A total of 1273 glioma cases and 443 controls from Mayo Clinic were used in the discovery set, and 852 glioma cases and 231 controls from UCSF were used in the validation set. All samples were genotyped using a custom Illumina OncoArray. RESULTS Patients in the highest 5% of the risk score had more than a 14-fold increase in relative risk of developing an IDH mutant glioma. Large differences in lifetime absolute risk were observed at the extremes of the risk score percentile. For both IDH mutant 1p/19q non-codeleted glioma and IDH mutant 1p/19q codeleted glioma, the lifetime risk increased from almost null to 2.3% and almost null to 1.7%, respectively. The SNP-based model that predicted IDH mutation status had a validation concordance index of 0.85. CONCLUSIONS These results suggest that germline genotyping can provide new tools for the initial management of newly discovered brain lesions. Given the low lifetime risk of glioma, risk scores will not be useful for population screening; however, they may be useful in certain clinically defined high-risk groups.
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Affiliation(s)
| | - Paul A Decker
- Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Matt L Kosel
- Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
| | - Terri Rice
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Alissa A Caron
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Kristen L Drucker
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Corinne E Praska
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Melike Pekmezci
- Department of Pathology, UCSF, San Francisco, California, USA
| | - Helen M Hansen
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Lucie S McCoy
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
| | | | | | - Joseph L Wiemels
- Center for Genetic Epidemiology, University of Southern California, Los Angeles, California, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
- Institute of Human Genetics, UCSF, San Francisco, California, USA
| | - Melissa L Bondy
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Terry C Burns
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Caterina Giannini
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Daniel H Lachance
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Margaret R Wrensch
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
- Institute of Human Genetics, UCSF, San Francisco, California, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
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6
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Ostrom QT, Coleman W, Huang W, Rubin JB, Lathia JD, Berens ME, Speyer G, Liao P, Wrensch MR, Eckel-Passow JE, Armstrong G, Rice T, Wiencke JK, McCoy LS, Hansen HM, Amos CI, Bernstein JL, Claus EB, Houlston RS, Il’yasova D, Jenkins RB, Johansen C, Lachance DH, Lai RK, Merrell RT, Olson SH, Sadetzki S, Schildkraut JM, Shete S, Andersson U, Rajaraman P, Chanock SJ, Linet MS, Wang Z, Yeager M, Melin B, Bondy ML, Barnholtz-Sloan JS. Sex-specific gene and pathway modeling of inherited glioma risk. Neuro Oncol 2019; 21:71-82. [PMID: 30124908 PMCID: PMC6303471 DOI: 10.1093/neuonc/noy135] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background To date, genome-wide association studies (GWAS) have identified 25 risk variants for glioma, explaining 30% of heritable risk. Most histologies occur with significantly higher incidence in males, and this difference is not explained by currently known risk factors. A previous GWAS identified sex-specific glioma risk variants, and this analysis aims to further elucidate risk variation by sex using gene- and pathway-based approaches. Methods Results from the Glioma International Case-Control Study were used as a testing set, and results from 3 GWAS were combined via meta-analysis and used as a validation set. Using summary statistics for nominally significant autosomal SNPs (P < 0.01 in a previous meta-analysis) and nominally significant X-chromosome SNPs (P < 0.01), 3 algorithms (Pascal, BimBam, and GATES) were used to generate gene scores, and Pascal was used to generate pathway scores. Results were considered statistically significant in the discovery set when P < 3.3 × 10-6 and in the validation set when P < 0.001 in 2 of 3 algorithms. Results Twenty-five genes within 5 regions and 19 genes within 6 regions reached statistical significance in at least 2 of 3 algorithms in males and females, respectively. EGFR was significantly associated with all glioma and glioblastoma in males only and a female-specific association in TERT, all of which remained nominally significant after conditioning on known risk loci. There were nominal associations with the BioCarta telomeres pathway in both males and females. Conclusions These results provide additional evidence that there may be differences by sex in genetic risk for glioma. Additional analyses may further elucidate the biological processes through which this risk is conferred.
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Affiliation(s)
- Quinn T Ostrom
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | | | - William Huang
- Case Western Reserve University, Cleveland, Ohio, USA
| | - Joshua B Rubin
- Department of Pediatrics, Washington University School of Medicine, St Louis, Missouri, USA; Department of Neuroscience, Washington University School of Medicine, St Louis, Missouri, USA
| | - Justin D Lathia
- Department of Stem Cell Biology and Regenerative Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Michael E Berens
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Gil Speyer
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Peter Liao
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Margaret R Wrensch
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Jeanette E Eckel-Passow
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Georgina Armstrong
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Terri Rice
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - John K Wiencke
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Lucie S McCoy
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Helen M Hansen
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Elizabeth B Claus
- School of Public Health, Yale University, New Haven, Connecticut, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Dora Il’yasova
- Department of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, Georgia, USA
- Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Christoffer Johansen
- Oncology Clinic, Finsen Center, Rigshospitalet and Survivorship Research Unit, The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Daniel H Lachance
- Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Rose K Lai
- Departments of Neurology and Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Ryan T Merrell
- Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Siegal Sadetzki
- Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | | | - Ulrika Andersson
- Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, USA
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, USA
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, USA
| | - Beatrice 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 Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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7
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Ostrom QT, Kinnersley B, Armstrong G, Rice T, Chen Y, Wiencke JK, McCoy LS, Hansen HM, Amos CI, Bernstein JL, Claus EB, Eckel-Passow JE, Il'yasova D, Johansen C, Lachance DH, Lai RK, Merrell RT, Olson SH, Sadetzki S, Schildkraut JM, Shete S, Rubin JB, Andersson U, Rajaraman P, Chanock SJ, Linet MS, Wang Z, Yeager M, Houlston RS, Jenkins RB, Wrensch MR, Melin B, Bondy ML, Barnholtz-Sloan JS. Age-specific genome-wide association study in glioblastoma identifies increased proportion of 'lower grade glioma'-like features associated with younger age. Int J Cancer 2018; 143:2359-2366. [PMID: 30152087 PMCID: PMC6205887 DOI: 10.1002/ijc.31759] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/05/2018] [Accepted: 03/16/2018] [Indexed: 01/07/2023]
Abstract
Glioblastoma (GBM) is the most common malignant brain tumor in the United States. Incidence of GBM increases with age, and younger age-at-diagnosis is significantly associated with improved prognosis. While the relationship between candidate GBM risk SNPs and age-at-diagnosis has been explored, genome-wide association studies (GWAS) have not previously been stratified by age. Potential age-specific genetic effects were assessed in autosomal SNPs for GBM patients using data from four previous GWAS. Using age distribution tertiles (18-53, 54-64, 65+) datasets were analyzed using age-stratified logistic regression to generate p values, odds ratios (OR), and 95% confidence intervals (95%CI), and then combined using meta-analysis. There were 4,512 total GBM cases, and 10,582 controls used for analysis. Significant associations were detected at two previously identified SNPs in 7p11.2 (rs723527 [p54-63 = 1.50x10-9 , OR54-63 = 1.28, 95%CI54-63 = 1.18-1.39; p64+ = 2.14x10-11 , OR64+ = 1.32, 95%CI64+ = 1.21-1.43] and rs11979158 [p54-63 = 6.13x10-8 , OR54-63 = 1.35, 95%CI54-63 = 1.21-1.50; p64+ = 2.18x10-10 , OR64+ = 1.42, 95%CI64+ = 1.27-1.58]) but only in persons >54. There was also a significant association at the previously identified lower grade glioma (LGG) risk locus at 8q24.21 (rs55705857) in persons ages 18-53 (p18-53 = 9.30 × 10-11 , OR18-53 = 1.76, 95%CI18-53 = 1.49-2.10). Within The Cancer Genome Atlas (TCGA) there was higher prevalence of 'LGG'-like tumor characteristics in GBM samples in those 18-53, with IDH1/2 mutation frequency of 15%, as compared to 2.1% [54-63] and 0.8% [64+] (p = 0.0005). Age-specific differences in cancer susceptibility can provide important clues to etiology. The association of a SNP known to confer risk for IDH1/2 mutant glioma and higher prevalence of IDH1/2 mutation within younger individuals 18-53 suggests that more younger individuals may present initially with 'secondary glioblastoma.'
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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
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Georgina Armstrong
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Terri Rice
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California
| | - Yanwen Chen
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - John K Wiencke
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California
| | - Lucie S McCoy
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California
| | - Helen M Hansen
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California
| | - Christopher I Amos
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, Texas
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Elizabeth B Claus
- School of Public Health, Yale University, New Haven, Connecticut
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts
| | - Jeanette E Eckel-Passow
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Dora Il'yasova
- Department of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, Georgia
- Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Christoffer Johansen
- Oncology clinic, Finsen Center, Rigshospitalet and Survivorship Research Unit, The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Daniel H Lachance
- Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - Rose K Lai
- Departments of Neurology and Preventive Medicine, Keck School of Medicine, University of Southern California, California, Los Angeles
| | - Ryan T Merrell
- Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Siegal Sadetzki
- Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Sanjay Shete
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Joshua B Rubin
- Departments of Pediatrics and Neuroscience, Washington University School of Medicine, St. Louis, Missouri
| | - Ulrika Andersson
- Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - Margaret R Wrensch
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California
| | - Beatrice 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 Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
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8
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Ostrom QT, Kinnersley B, Wrensch MR, Eckel-Passow JE, Armstrong G, Rice T, Chen Y, Wiencke JK, McCoy LS, Hansen HM, Amos CI, Bernstein JL, Claus EB, Il'yasova D, Johansen C, Lachance DH, Lai RK, Merrell RT, Olson SH, Sadetzki S, Schildkraut JM, Shete S, Rubin JB, Lathia JD, Berens ME, Andersson U, Rajaraman P, Chanock SJ, Linet MS, Wang Z, Yeager M, Houlston RS, Jenkins RB, Melin B, Bondy ML, Barnholtz-Sloan JS. Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21. Sci Rep 2018; 8:7352. [PMID: 29743610 PMCID: PMC5943590 DOI: 10.1038/s41598-018-24580-z] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 04/06/2018] [Indexed: 01/07/2023] Open
Abstract
Incidence of glioma is approximately 50% higher in males. Previous analyses have examined exposures related to sex hormones in women as potential protective factors for these tumors, with inconsistent results. Previous glioma genome-wide association studies (GWAS) have not stratified by sex. Potential sex-specific genetic effects were assessed in autosomal SNPs and sex chromosome variants for all glioma, GBM and non-GBM patients using data from four previous glioma GWAS. Datasets were analyzed using sex-stratified logistic regression models and combined using meta-analysis. There were 4,831 male cases, 5,216 male controls, 3,206 female cases and 5,470 female controls. A significant association was detected at rs11979158 (7p11.2) in males only. Association at rs55705857 (8q24.21) was stronger in females than in males. A large region on 3p21.31 was identified with significant association in females only. The identified differences in effect of risk variants do not fully explain the observed incidence difference in glioma by sex.
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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, United States of America
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
- Department of Population and Quantitative Heath Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Margaret R Wrensch
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Jeanette E Eckel-Passow
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America
| | - Georgina Armstrong
- Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Terri Rice
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Yanwen Chen
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - John K Wiencke
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Lucie S McCoy
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Helen M Hansen
- Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
| | - Elizabeth B Claus
- School of Public Health, Yale University, New Haven, Connecticut, United States of America
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Dora Il'yasova
- Department of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America
- Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Christoffer Johansen
- Oncology clinic, Finsen Center, Rigshospitalet, Copenhagen, Denmark
- Survivorship Research Unit, The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Daniel H Lachance
- Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Rose K Lai
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Ryan T Merrell
- Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois, United States of America
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
| | - Siegal Sadetzki
- Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, United States of America
| | - Sanjay Shete
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Joshua B Rubin
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Neuroscience, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Justin D Lathia
- Department of Stem Cell Biology and Regenerative Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, United States of America
| | - Michael E Berens
- Cancer and Cell Biology Division, The Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Ulrika Andersson
- Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Preetha Rajaraman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, United States of America
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, United States of America
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland, United States of America
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Beatrice 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 Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America.
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9
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Pekmezci M, Rice T, Molinaro AM, Walsh KM, Decker PA, Hansen H, Sicotte H, Kollmeyer TM, McCoy LS, Sarkar G, Perry A, Giannini C, Tihan T, Berger MS, Wiemels JL, Bracci PM, Eckel-Passow JE, Lachance DH, Clarke J, Taylor JW, Luks T, Wiencke JK, Jenkins RB, Wrensch MR. Adult infiltrating gliomas with WHO 2016 integrated diagnosis: additional prognostic roles of ATRX and TERT. Acta Neuropathol 2017; 133:1001-1016. [PMID: 28255664 PMCID: PMC5432658 DOI: 10.1007/s00401-017-1690-1] [Citation(s) in RCA: 207] [Impact Index Per Article: 29.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 02/06/2017] [Accepted: 02/24/2017] [Indexed: 01/07/2023]
Abstract
The "integrated diagnosis" for infiltrating gliomas in the 2016 revised World Health Organization (WHO) classification of tumors of the central nervous system requires assessment of the tumor for IDH mutations and 1p/19q codeletion. Since TERT promoter mutations and ATRX alterations have been shown to be associated with prognosis, we analyzed whether these tumor markers provide additional prognostic information within each of the five WHO 2016 categories. We used data for 1206 patients from the UCSF Adult Glioma Study, the Mayo Clinic and The Cancer Genome Atlas (TCGA) with infiltrative glioma, grades II-IV for whom tumor status for IDH, 1p/19q codeletion, ATRX, and TERT had been determined. All cases were assigned to one of 5 groups following the WHO 2016 diagnostic criteria based on their morphologic features, and IDH and 1p/19q codeletion status. These groups are: (1) Oligodendroglioma, IDH-mutant and 1p/19q-codeleted; (2) Astrocytoma, IDH-mutant; (3) Glioblastoma, IDH-mutant; (4) Glioblastoma, IDH-wildtype; and (5) Astrocytoma, IDH-wildtype. Within each group, we used univariate and multivariate Cox proportional hazards models to assess associations of overall survival with patient age at diagnosis, grade, and ATRX alteration status and/or TERT promoter mutation status. Among Group 1 IDH-mutant 1p/19q-codeleted oligodendrogliomas, the TERT-WT group had significantly worse overall survival than the TERT-MUT group (HR: 2.72, 95% CI 1.05-7.04, p = 0.04). In both Group 2, IDH-mutant astrocytomas and Group 3, IDH-mutant glioblastomas, neither TERT mutations nor ATRX alterations were significantly associated with survival. Among Group 4, IDH-wildtype glioblastomas, ATRX alterations were associated with favorable outcomes (HR: 0.36, 95% CI 0.17-0.81, p = 0.01). Among Group 5, IDH-wildtype astrocytomas, the TERT-WT group had significantly better overall survival than the TERT-MUT group (HR: 0.48, 95% CI 0.27-0.87), p = 0.02). Thus, we present evidence that in certain WHO 2016 diagnostic groups, testing for TERT promoter mutations or ATRX alterations may provide additional useful prognostic information.
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Affiliation(s)
- Melike Pekmezci
- Department of Pathology, University of California, Box 0102, 505 Parnassus Avenue, Room M-551, San Francisco, CA, 94143, USA.
- Department of Anatomic Pathology, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
| | - Terri Rice
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Kyle M Walsh
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Paul A Decker
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Helen Hansen
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Hugues Sicotte
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Lucie S McCoy
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Gobinda Sarkar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Arie Perry
- Department of Pathology, University of California, Box 0102, 505 Parnassus Avenue, Room M-551, San Francisco, CA, 94143, USA
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Caterina Giannini
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Tarik Tihan
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Department of Radiology, University of California, San Francisco, CA, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | | | | | - Jennifer Clarke
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Jennie W Taylor
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Tracy Luks
- Department of Radiology, University of California, San Francisco, CA, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Institute of Human Genetics, University of California, San Francisco, CA, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Margaret R Wrensch
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Institute of Human Genetics, University of California, San Francisco, CA, USA
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10
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Wiencke JK, Koestler DC, Salas LA, Wiemels JL, Roy RP, Hansen HM, Rice T, McCoy LS, Bracci PM, Molinaro AM, Kelsey KT, Wrensch MR, Christensen BC. Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival. Clin Epigenetics 2017; 9:10. [PMID: 28184256 PMCID: PMC5288996 DOI: 10.1186/s13148-017-0316-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 01/19/2017] [Indexed: 01/04/2023] Open
Abstract
Background Differentially methylated regions (DMRs) within DNA isolated from whole blood can be used to estimate the proportions of circulating leukocyte subtypes. We use the term “immunomethylomics” to describe the application of these immune lineage DMRs to studying leukocyte profiles. Here, we applied this approach to peripheral blood DNA from 72 glioma patients with molecularly defined brain tumors, representing common patient groups with defined characteristic survival times and risk factors. We first estimated the proportions of leukocyte subtypes in samples using deconvolution algorithms with reference DMR libraries from isolated leukocyte populations and Illumina 450K DNA methylation data. Then, we calculated the neutrophil to lymphocyte ratio (NLR) using methylation-derived cell composition estimates (mdNLR). The NLR is considered an indicator of immunosuppressive cells in cancer patients. Results Elevated mdNLR scores were observed in glioma patients compared to mdNLR values of published controls. Significantly decreased survival times were associated with mdNLR ≥ 4.0 in Cox proportional hazards models adjusted for age, gender, tumor grade, and molecular subtype (HR 2.02, 95% CI, 1.11–3.69). We also identified five myeloid-related CpGs that were highly correlated with the mdNLR (adjusted R2 ≥ 0.80). Each of the five myeloid CpG loci was associated with survival when adjusted for the above covariates and offer a simplified approach for utilizing fresh or archived peripheral blood samples for interrogating a very small number of methylation markers to estimate myeloid immune influences in glioma survival. Conclusions The mdNLR (based on DNA methylation) is a novel candidate methylation biomarker that represents immunosuppressive myeloid cells within the blood of glioma patients with potential application in clinical trials and future epidemiologic studies of glioma risk and survival. Electronic supplementary material The online version of this article (doi:10.1186/s13148-017-0316-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- John K Wiencke
- Department of Neurological Surgery, University of California San Francisco, 1450 3rd Street, San Francisco, CA 94158-0520 USA
| | - Devin C Koestler
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160 USA
| | - Lucas A Salas
- Computational Biology Core, University of California San Francisco, San Francisco, CA 94158 USA
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158 USA
| | - Ritu P Roy
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158 USA.,Computational Biology Core, University of California San Francisco, San Francisco, CA 94158 USA
| | - Helen M Hansen
- Department of Neurological Surgery, University of California San Francisco, 1450 3rd Street, San Francisco, CA 94158-0520 USA
| | - Terri Rice
- Department of Neurological Surgery, University of California San Francisco, 1450 3rd Street, San Francisco, CA 94158-0520 USA
| | - Lucie S McCoy
- Department of Neurological Surgery, University of California San Francisco, 1450 3rd Street, San Francisco, CA 94158-0520 USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158 USA
| | - Annette M Molinaro
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158 USA
| | - Karl T Kelsey
- Department of Epidemiology, Department of Pathology and Laboratory Medicine, Brown University, Providence, RI 02912 USA
| | - Margaret R Wrensch
- Department of Neurological Surgery, University of California San Francisco, 1450 3rd Street, San Francisco, CA 94158-0520 USA
| | - Brock C Christensen
- Departments of Epidemiology, Pharmacology & Toxicology, and Community and Family Medicine, Geisel School of Medicine at Dartmouth College, Lebanon, NH 03756 USA
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11
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Amirian ES, Zhou R, Wrensch MR, Olson SH, Scheurer ME, Il'yasova D, Lachance D, Armstrong GN, McCoy LS, Lau CC, Claus EB, Barnholtz-Sloan JS, Schildkraut J, Ali-Osman F, Sadetzki S, Johansen C, Houlston RS, Jenkins RB, Bernstein JL, Merrell RT, Davis FG, Lai R, Shete S, Amos CI, Melin BS, Bondy ML. Approaching a Scientific Consensus on the Association between Allergies and Glioma Risk: A Report from the Glioma International Case-Control Study. Cancer Epidemiol Biomarkers Prev 2016; 25:282-90. [PMID: 26908595 PMCID: PMC4874516 DOI: 10.1158/1055-9965.epi-15-0847] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Several previous studies have found inverse associations between glioma susceptibility and a history of allergies or other atopic conditions. Some evidence indicates that respiratory allergies are likely to be particularly relevant with regard to glioma risk. Using data from the Glioma International Case-Control Study (GICC), we examined the effects of respiratory allergies and other atopic conditions on glioma risk. METHODS The GICC contains detailed information on history of atopic conditions for 4,533 cases and 4,171 controls, recruited from 14 study sites across five countries. Using two-stage random-effects restricted maximum likelihood modeling to calculate meta-analysis ORs, we examined the associations between glioma and allergy status, respiratory allergy status, asthma, and eczema. RESULTS Having a history of respiratory allergies was associated with an approximately 30% lower glioma risk, compared with not having respiratory allergies (mOR, 0.72; 95% confidence interval, 0.58-0.90). This association was similar when restricting to high-grade glioma cases. Asthma and eczema were also significantly protective against glioma. CONCLUSION A substantial amount of data on the inverse association between atopic conditions and glioma has accumulated, and findings from the GICC study further strengthen the existing evidence that the relationship between atopy and glioma is unlikely to be coincidental. IMPACT As the literature approaches a consensus on the impact of allergies in glioma risk, future research can begin to shift focus to what the underlying biologic mechanism behind this association may be, which could, in turn, yield new opportunities for immunotherapy or cancer prevention.
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Affiliation(s)
- E Susan Amirian
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Renke Zhou
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Margaret R Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Michael E Scheurer
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - 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
| | - Daniel Lachance
- Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - Georgina N Armstrong
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Lucie S McCoy
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Ching C Lau
- Division of Hematology-Oncology, Department of Pediatrics, 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
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - 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, Israel. 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
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota
| | - 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
| | - Faith G Davis
- Department of Public Health Services, University of Alberta, Edmonton, Alberta, Canada
| | - Rose Lai
- Department of Neurology, The University of Southern California Keck School of Medicine, Los Angeles, California. Department of Neurosurgery, The University of Southern California Keck School of Medicine, Los Angeles, California. Department of 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
| | - Christopher I Amos
- Department of Community and Family Medicine, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Department of Genetics, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Beatrice S Melin
- Department of Radiation Sciences Oncology, Umeå University, Umeå, Sweden
| | - Melissa L Bondy
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas.
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Walsh KM, Codd V, Rice T, Nelson CP, Smirnov IV, McCoy LS, Hansen HM, Elhauge E, Ojha J, Francis SS, Madsen NR, Bracci PM, Pico AR, Molinaro AM, Tihan T, Berger MS, Chang SM, Prados MD, Jenkins RB, Wiemels JL, Samani NJ, Wiencke JK, Wrensch MR. Longer genotypically-estimated leukocyte telomere length is associated with increased adult glioma risk. Oncotarget 2015; 6:42468-77. [PMID: 26646793 PMCID: PMC4767445 DOI: 10.18632/oncotarget.6468] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 11/23/2015] [Indexed: 01/07/2023] Open
Abstract
Telomere maintenance has emerged as an important molecular feature with impacts on adult glioma susceptibility and prognosis. Whether longer or shorter leukocyte telomere length (LTL) is associated with glioma risk remains elusive and is often confounded by the effects of age and patient treatment. We sought to determine if genotypically-estimated LTL is associated with glioma risk and if inherited single nucleotide polymorphisms (SNPs) that are associated with LTL are glioma risk factors. Using a Mendelian randomization approach, we assessed differences in genotypically-estimated relative LTL in two independent glioma case-control datasets from the UCSF Adult Glioma Study (652 patients and 3735 controls) and The Cancer Genome Atlas (478 non-overlapping patients and 2559 controls). LTL estimates were based on a weighted linear combination of subject genotype at eight SNPs, previously associated with LTL in the ENGAGE Consortium Telomere Project. Mean estimated LTL was 31bp (5.7%) longer in glioma patients than controls in discovery analyses (P = 7.82x10-8) and 27bp (5.0%) longer in glioma patients than controls in replication analyses (1.48x10-3). Glioma risk increased monotonically with each increasing septile of LTL (O.R.=1.12; P = 3.83x10-12). Four LTL-associated SNPs were significantly associated with glioma risk in pooled analyses, including those in the telomerase component genes TERC (O.R.=1.14; 95% C.I.=1.03-1.28) and TERT (O.R.=1.39; 95% C.I.=1.27-1.52), and those in the CST complex genes OBFC1 (O.R.=1.18; 95% C.I.=1.05-1.33) and CTC1 (O.R.=1.14; 95% C.I.=1.02-1.28). Future work is needed to characterize the role of the CST complex in gliomagenesis and further elucidate the complex balance between ageing, telomere length, and molecular carcinogenesis.
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Affiliation(s)
- Kyle M. Walsh
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Program in Neurologic Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Terri Rice
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Christopher P. Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Ivan V. Smirnov
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Lucie S. McCoy
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Helen M. Hansen
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Edward Elhauge
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Juhi Ojha
- Division of Neuroepidemiology, Department of Neurological Surgery, 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
| | - Nils R. Madsen
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, 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
| | - Tarik Tihan
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Susan M. Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Michael D. Prados
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Joseph L. Wiemels
- Division of Neuroepidemiology, 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 for Human Genetics, University of California, San Francisco, San Francisco, California, USA
| | | | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - John K. Wiencke
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, California, USA
| | - Margaret R. Wrensch
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, California, USA
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13
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Walsh KM, de Smith AJ, Hansen HM, Smirnov IV, Gonseth S, Endicott AA, Xiao J, Rice T, Fu CH, McCoy LS, Lachance DH, Eckel-Passow JE, Wiencke JK, Jenkins RB, Wrensch MR, Ma X, Metayer C, Wiemels JL. A Heritable Missense Polymorphism in CDKN2A Confers Strong Risk of Childhood Acute Lymphoblastic Leukemia and Is Preferentially Selected during Clonal Evolution. Cancer Res 2015; 75:4884-94. [PMID: 26527286 PMCID: PMC4651745 DOI: 10.1158/0008-5472.can-15-1105] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Accepted: 08/26/2015] [Indexed: 01/07/2023]
Abstract
Genome-wide association studies (GWAS) have identified SNPs in six genes that are associated with childhood acute lymphoblastic leukemia (ALL). A lead SNP was found to occur on chromosome 9p21.3, a region that is deleted in 30% of childhood ALLs, suggesting the presence of causal polymorphisms linked to ALL risk. We used SNP genotyping and imputation-based fine-mapping of a multiethnic ALL case-control population (Ncases = 1,464, Ncontrols = 3,279) to identify variants of large effect within 9p21.3. We identified a CDKN2A missense variant (rs3731249) with 2% allele frequency in controls that confers three-fold increased risk of ALL in children of European ancestry (OR, 2.99; P = 1.51 × 10(-9)) and Hispanic children (OR, 2.77; P = 3.78 × 10(-4)). Moreover, of 17 patients whose tumors displayed allelic imbalance at CDKN2A, 14 preferentially retained the risk allele and lost the protective allele (PBinomial = 0.006), suggesting that the risk allele provides a selective advantage during tumor growth. Notably, the CDKN2A variant was not significantly associated with melanoma, glioblastoma, or pancreatic cancer risk, implying that this polymorphism specifically confers ALL risk but not general cancer risk. Taken together, our findings demonstrate that coding polymorphisms of large effect can underlie GWAS "hits" and that inherited polymorphisms may undergo directional selection during clonal expansion of tumors.
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Affiliation(s)
- Kyle M Walsh
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California.
| | - Adam J de Smith
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Helen M Hansen
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Ivan V Smirnov
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Semira Gonseth
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Alyson A Endicott
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Jianqiao Xiao
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Terri Rice
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Cecilia H Fu
- Division of Hematology/Oncology, Children's Hospital Los Angeles, Los Angeles, California
| | - Lucie S McCoy
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Daniel H Lachance
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Jeanette E Eckel-Passow
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - John K Wiencke
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California. Institute for Human Genetics, University of California, San Francisco, San Francisco, California
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Margaret R Wrensch
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California. Institute for Human Genetics, University of California, San Francisco, San Francisco, California
| | - Xiaomei Ma
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, Connecticut
| | - Catherine Metayer
- School of Public Health, University of California Berkeley, Berkeley, California
| | - Joseph L Wiemels
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California. Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California. Institute for Human Genetics, University of California, San Francisco, San Francisco, California
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14
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Zhou M, Bracci PM, McCoy LS, Hsuang G, Wiemels JL, Rice T, Zheng S, Kelsey KT, Wrensch MR, Wiencke JK. Serum macrophage-derived chemokine/CCL22 levels are associated with glioma risk, CD4 T cell lymphopenia and survival time. Int J Cancer 2015; 137:826-36. [PMID: 25604093 PMCID: PMC4478165 DOI: 10.1002/ijc.29441] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2014] [Accepted: 01/09/2015] [Indexed: 01/07/2023]
Abstract
Defects in antigen presenting cell function have been implicated in glioma immunosuppression. We measured peripheral CCL22, a dendritic cell/macrophage derived T cell trafficking chemokine, in sera from 1,208 glioma cases and 976 controls to assess whether it might provide a biomarker of glioma risk, survival and immune dysfunction. Cluster models were used to examine the relationship between CCL22 and glioma risk. Patient survival was assessed using Cox regression models. We also examined the relationship between CCL22 levels and CD4 cell counts, as well as allergy history and IgE levels. CCL22 levels were significantly lower among glioma cases compared with controls (Mean ± SEM: 1.23 ± 0.03 ng/mL in cases vs. 1.60 ± 0.03 ng/mL in controls, p < 0.0001) and this difference remained significant even after controlling for other covariates in the cluster models (highest quartile versus lowest Odds Ratio = 0.21, p < 0.0001). CD4 cell counts were positively correlated with CCL22 in glioma cases (Spearman r(2) = 0.51, p < 0.01) and were significantly lower in cases compared with controls. Higher CCL22 levels were associated with longer survival in all cases combined and in GBM cases (hazard ratio(allcases) = 0.81; 95% CI: 0.72-0.91, p = 0.0003). CCL22 levels were not associated with IgE level or self-reported allergies. Circulating CCL22 levels are related to both glioma risk and survival duration independent of age, histology, grade and IDH mutation status. CCL22 should be considered a marker of immune status with potential prognostic value.
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Affiliation(s)
- Mi Zhou
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Lucie S. McCoy
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - George Hsuang
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Joseph L. Wiemels
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Terri Rice
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Shichun Zheng
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Karl T. Kelsey
- Department of Laboratory Medicine and Pathology, Brown University, Providence, RI
| | - Margaret R. Wrensch
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - John K. Wiencke
- Department of Neurological Surgery, School of Medicine, University of California San Francisco, San Francisco, CA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
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15
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Eckel-Passow JE, Lachance DH, Molinaro AM, Walsh KM, Decker PA, Sicotte H, Pekmezci M, Rice T, Kosel ML, Smirnov IV, Sarkar G, Caron AA, Kollmeyer TM, Praska CE, Chada AR, Halder C, Hansen HM, McCoy LS, Bracci PM, Marshall R, Zheng S, Reis GF, Pico AR, O'Neill BP, Buckner JC, Giannini C, Huse JT, Perry A, Tihan T, Berger MS, Chang SM, Prados MD, Wiemels J, Wiencke JK, Wrensch MR, Jenkins RB. Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors. N Engl J Med 2015; 372:2499-508. [PMID: 26061753 PMCID: PMC4489704 DOI: 10.1056/nejmoa1407279] [Citation(s) in RCA: 1367] [Impact Index Per Article: 151.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND The prediction of clinical behavior, response to therapy, and outcome of infiltrative glioma is challenging. On the basis of previous studies of tumor biology, we defined five glioma molecular groups with the use of three alterations: mutations in the TERT promoter, mutations in IDH, and codeletion of chromosome arms 1p and 19q (1p/19q codeletion). We tested the hypothesis that within groups based on these features, tumors would have similar clinical variables, acquired somatic alterations, and germline variants. METHODS We scored tumors as negative or positive for each of these markers in 1087 gliomas and compared acquired alterations and patient characteristics among the five primary molecular groups. Using 11,590 controls, we assessed associations between these groups and known glioma germline variants. RESULTS Among 615 grade II or III gliomas, 29% had all three alterations (i.e., were triple-positive), 5% had TERT and IDH mutations, 45% had only IDH mutations, 7% were triple-negative, and 10% had only TERT mutations; 5% had other combinations. Among 472 grade IV gliomas, less than 1% were triple-positive, 2% had TERT and IDH mutations, 7% had only IDH mutations, 17% were triple-negative, and 74% had only TERT mutations. The mean age at diagnosis was lowest (37 years) among patients who had gliomas with only IDH mutations and was highest (59 years) among patients who had gliomas with only TERT mutations. The molecular groups were independently associated with overall survival among patients with grade II or III gliomas but not among patients with grade IV gliomas. The molecular groups were associated with specific germline variants. CONCLUSIONS Gliomas were classified into five principal groups on the basis of three tumor markers. The groups had different ages at onset, overall survival, and associations with germline variants, which implies that they are characterized by distinct mechanisms of pathogenesis. (Funded by the National Institutes of Health and others.).
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Affiliation(s)
- Jeanette E Eckel-Passow
- From the Departments of Health Sciences Research (J.E.E.-P., P.A.D., H.S., M.L.K.), Laboratory Medicine and Pathology (D.H.L., G.S., A.A.C., T.M.K., C.E.P., A.R.C., C.H., C.G., R.B.J.), Neurology (D.H.L., B.P.O.), and Oncology (J.C.B.), Mayo Clinic, Rochester, MN; the Departments of Neurological Surgery (A.M.M., K.M.W., T.R., I.V.S., H.M.H., L.S.M., S.Z., A.P., M.S.B., S.M.C., M.D.P., J.K.W., M.R.W.), Epidemiology and Biostatistics (A.M.M., P.M.B., J.W., J.K.W., M.R.W.) and Pathology (M.P., R.M., G.F.R., A.P., T.T.) and the Institute of Human Genetics (J.W., J.K.W., M.R.W.), University of California, San Francisco, and the Bioinformatics Core, Gladstone Institutes (A.R.P.) - all in San Francisco; and the Department of Pathology and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York (J.T.H.)
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16
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Walsh KM, Codd V, Smirnov IV, Rice T, Decker PA, Hansen HM, Kollmeyer T, Kosel ML, Molinaro AM, McCoy LS, Bracci PM, Cabriga BS, Pekmezci M, Zheng S, Wiemels JL, Pico AR, Tihan T, Berger MS, Chang SM, Prados MD, Lachance DH, O’Neill BP, Sicotte H, Eckel-Passow JE, van der Harst P, Wiencke JK, Samani NJ, Jenkins RB, Wrensch MR. Variants near TERT and TERC influencing telomere length are associated with high-grade glioma risk. Nat Genet 2014; 46:731-5. [PMID: 24908248 PMCID: PMC4074274 DOI: 10.1038/ng.3004] [Citation(s) in RCA: 145] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Accepted: 05/12/2014] [Indexed: 12/13/2022]
Abstract
Glioma, the most common central nervous system cancer in adults, has poor prognosis. Here we identify a new SNP associated with glioma risk, rs1920116 (near TERC), that reached genome-wide significance (Pcombined = 8.3 × 10(-9)) in a meta-analysis of genome-wide association studies (GWAS) of high-grade glioma and replication data (1,644 cases and 7,736 controls). This region has previously been associated with mean leukocyte telomere length (LTL). We therefore examined the relationship between LTL and both this new risk locus and other previously established risk loci for glioma using data from a recent GWAS of LTL (n = 37,684 individuals). Alleles associated with glioma risk near TERC and TERT were strongly associated with longer LTL (P = 5.5 × 10(-20) and 4.4 × 10(-19), respectively). In contrast, risk-associated alleles near RTEL1 were inconsistently associated with LTL, suggesting the presence of distinct causal alleles. No other risk loci for glioma were associated with LTL. The identification of risk alleles for glioma near TERC and TERT that also associate with telomere length implicates telomerase in gliomagenesis.
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Affiliation(s)
- Kyle M. Walsh
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Program in Cancer Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Ivan V. Smirnov
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Terri Rice
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Paul A. Decker
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Helen M. Hansen
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Thomas Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Matthew L. Kosel
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Annette M. Molinaro
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Lucie S. McCoy
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco , California, USA
| | - Belinda S. Cabriga
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Melike Pekmezci
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Shichun Zheng
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Joseph L. Wiemels
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco , California, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco , California, USA
| | | | - Tarik Tihan
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
| | - Mitchell S. Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Susan M. Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Michael D. Prados
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Daniel H. Lachance
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Brian P. O’Neill
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Hugues Sicotte
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Jeanette E. Eckel-Passow
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | | | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - John K. Wiencke
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco , California, USA
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Margaret R. Wrensch
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco , California, USA
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17
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Walsh KM, Rice T, Decker PA, Kosel ML, Kollmeyer T, Hansen HM, Zheng S, McCoy LS, Bracci PM, Anderson E, Hsuang G, Wiemels JL, Pico AR, Smirnov I, Molinaro AM, Tihan T, Berger MS, Chang SM, Prados MD, Lachance DH, Sicotte H, Eckel-Passow JE, Wiencke JK, Jenkins RB, Wrensch MR. Genetic variants in telomerase-related genes are associated with an older age at diagnosis in glioma patients: evidence for distinct pathways of gliomagenesis. Neuro Oncol 2013; 15:1041-7. [PMID: 23733245 DOI: 10.1093/neuonc/not051] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Genome-wide association studies have implicated single nucleotide polymorphisms (SNPs) in 7 genes as glioma risk factors, including 2 (TERT, RTEL1) involved in telomerase structure/function. We examined associations of these 7 established glioma risk loci with age at diagnosis among patients with glioma. METHODS SNP genotype data were available for 2286 Caucasian glioma patients from the University of California, San Francisco (n = 1434) and the Mayo Clinic (n = 852). Regression analyses were performed to test for associations between "number of risk alleles" and "age at diagnosis," adjusted for sex and study site and stratified by tumor grade/histology where appropriate. RESULTS Four SNPs were significantly associated with age at diagnosis. Carrying a greater number of risk alleles at rs55705857 (CCDC26) and at rs498872 (PHLDB1) was associated with younger age at diagnosis (P = 1.4 × 10(-22) and P = 9.5 × 10(-7), respectively). These SNPs are stronger risk factors for oligodendroglial tumors, which tend to occur in younger patients, and their association with age at diagnosis varied across tumor subtypes. In contrast, carrying more risk alleles at rs2736100 (TERT) and at rs6010620 (RTEL1) was associated with older age at diagnosis (P = 6.2 × 10(-4) and P = 2.5 × 10(-4), respectively). These SNPs are risk factors for all glioma grades/histologies, and their association with age at diagnosis was consistent across tumor subgroups. CONCLUSIONS Carrying a greater number of risk alleles might be expected to decrease age at diagnosis. However, glioma susceptibility conferred by variation in telomerase-related genes did not follow this pattern. This supports the hypothesis that telomerase-related mechanisms of telomere maintenance are more associated with gliomas that develop later in life than those utilizing telomerase-independent mechanisms (ie, alternative lengthening of telomeres).
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Affiliation(s)
- Kyle M Walsh
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
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18
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Rice T, Zheng S, Decker PA, Walsh KM, Bracci P, Xiao Y, McCoy LS, Smirnov I, Patoka JS, Hansen HM, Hsuang G, Wiemels JL, Tihan T, Pico AR, Prados MD, Chang SM, Berger MS, Caron A, Fink S, Kollmeyer T, Rynearson A, Voss J, Kosel ML, Fridley BL, Lachance DH, Eckel-Passow JE, Sicotte H, O'Neill BP, Giannini C, Wiencke JK, Jenkins RB, Wrensch MR. Inherited variant on chromosome 11q23 increases susceptibility to IDH-mutated but not IDH-normal gliomas regardless of grade or histology. Neuro Oncol 2013; 15:535-41. [PMID: 23361564 PMCID: PMC3635511 DOI: 10.1093/neuonc/nos324] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Accepted: 10/02/2012] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Recent discoveries of inherited glioma risk loci and acquired IDH mutations are providing new insights into glioma etiology. IDH mutations are common in lower grade gliomas and secondary glioblastomas and uncommon in primary glioblastomas. Because the inherited variant in 11q23 has been associated with risk of lower grade glioma and not with glioblastomas, we hypothesized that this variant increases susceptibility to IDH-mutated gliomas, but not to IDH-wild-type gliomas. METHODS We tested this hypothesis in patients with glioma and controls from the San Francisco Adult Glioma Study, the Mayo Clinic, and Illumina controls (1102 total patients, 5299 total controls). Case-control additive associations of 11q23 risk alleles (rs498872, T allele) were calculated using logistic regression, stratified by tumor IDH status (mutated or wild-type) and by histology and grade. We also adjusted for the recently discovered 8q24 glioma risk locus rs55705857 G allele. RESULTS The 11q23 glioma risk locus was associated with increased risk of IDH-mutated gliomas of all histologies and grades (odds ratio [OR] = 1.50; 95% confidence interval [CI] = 1.29-1.74; P = 1.3X10(-7)) but not with IDH-wild-type gliomas of any histology or grade (OR = 0.91; 95% CI = 0.81-1.03; P = 0.14). The associations were independent of the rs55705857 G allele. CONCLUSION A variant at the 11q23 locus increases risk for IDH-mutated but not IDH-wild-type gliomas, regardless of grade or histology.
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Affiliation(s)
- Terri Rice
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94107, USA.
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19
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Walsh KM, Anderson E, Hansen HM, Decker PA, Kosel ML, Kollmeyer T, Rice T, Zheng S, Xiao Y, Chang JS, McCoy LS, Bracci PM, Wiemels JL, Pico AR, Smirnov I, Lachance DH, Sicotte H, Eckel-Passow JE, Wiencke JK, Jenkins RB, Wrensch MR. Analysis of 60 reported glioma risk SNPs replicates published GWAS findings but fails to replicate associations from published candidate-gene studies. Genet Epidemiol 2013; 37:222-8. [PMID: 23280628 PMCID: PMC3670948 DOI: 10.1002/gepi.21707] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2012] [Revised: 11/13/2012] [Accepted: 11/22/2012] [Indexed: 01/07/2023]
Abstract
Genomewide association studies (GWAS) and candidate-gene studies have implicated single-nucleotide polymorphisms (SNPs) in at least 45 different genes as putative glioma risk factors. Attempts to validate these associations have yielded variable results and few genetic risk factors have been consistently replicated. We conducted a case-control study of Caucasian glioma cases and controls from the University of California San Francisco (810 cases, 512 controls) and the Mayo Clinic (852 cases, 789 controls) in an attempt to replicate previously reported genetic risk factors for glioma. Sixty SNPs selected from the literature (eight from GWAS and 52 from candidate-gene studies) were successfully genotyped on an Illumina custom genotyping panel. Eight SNPs in/near seven different genes (TERT, EGFR, CCDC26, CDKN2A, PHLDB1, RTEL1, TP53) were significantly associated with glioma risk in the combined dataset (P < 0.05), with all associations in the same direction as in previous reports. Several SNP associations showed considerable differences across histologic subtype. All eight successfully replicated associations were first identified by GWAS, although none of the putative risk SNPs from candidate-gene studies was associated in the full case-control sample (all P values > 0.05). Although several confirmed associations are located near genes long known to be involved in gliomagenesis (e.g., EGFR, CDKN2A, TP53), these associations were first discovered by the GWAS approach and are in noncoding regions. These results highlight that the deficiencies of the candidate-gene approach lay in selecting both appropriate genes and relevant SNPs within these genes.
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Affiliation(s)
- Kyle M Walsh
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
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20
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Xiao Y, Decker PA, Rice T, McCoy LS, Smirnov I, Patoka JS, Hansen HM, Wiemels JL, Tihan T, Prados MD, Chang SM, Berger MS, Kosel ML, Fridley BL, Lachance DH, O'Neill BP, Buckner JC, Thompson RC, Nabors LB, Olson JJ, Brem S, Madden MH, Browning JE, Wiencke JK, Egan KM, Jenkins RB, Wrensch MR. SSBP2 variants are associated with survival in glioblastoma patients. Clin Cancer Res 2012; 18:3154-62. [PMID: 22472174 PMCID: PMC3607457 DOI: 10.1158/1078-0432.ccr-11-2778] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
PURPOSE Glioblastoma is a devastating, incurable disease with few known prognostic factors. Here, we present the first genome-wide survival and validation study for glioblastoma. EXPERIMENTAL DESIGN Cox regressions for survival with 314,635 inherited autosomal single-nucleotide polymorphisms (SNP) among 315 San Francisco Adult Glioma Study patients for discovery and three independent validation data sets [87 Mayo Clinic, 232 glioma patients recruited from several medical centers in Southeastern United States (GliomaSE), and 115 The Cancer Genome Atlas patients] were used to identify SNPs associated with overall survival for Caucasian glioblastoma patients treated with the current standard of care, resection, radiation, and temozolomide (total n = 749). Tumor expression of the gene that contained the identified prognostic SNP was examined in three separate data sets (total n = 619). Genotype imputation was used to estimate hazard ratios (HR) for SNPs that had not been directly genotyped. RESULTS From the discovery and validation analyses, we identified a variant in single-stranded DNA-binding protein 2 (SSBP2) on 5q14.1 associated with overall survival in combined analyses (HR, 1.64; P = 1.3 × 10(-6)). Expression of SSBP2 in tumors from three independent data sets also was significantly related to patient survival (P = 5.3 × 10(-4)). Using genotype imputation, the SSBP2 SNP rs17296479 had the strongest statistically significant genome-wide association with poorer overall patient survival (HR, 1.79; 95% CI, 1.45-2.22; P = 1.0 × 10(-7)). CONCLUSION The minor allele of SSBP2 SNP rs17296479 and the increased tumor expression of SSBP2 were statistically significantly associated with poorer overall survival among glioblastoma patients. With further confirmation, previously unrecognized inherited variations influencing survival may warrant inclusion in clinical trials to improve randomization. Unaccounted for genetic influence on survival could produce unwanted bias in such studies.
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Affiliation(s)
- Yuanyuan Xiao
- Department of Epidemiology and Biostatistics, University of California, San Francisco 185 Berry St, Suite 5700, San Francisco, CA 94107, USA.
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21
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Lachance DH, Yang P, Johnson DR, Decker PA, Kollmeyer TM, McCoy LS, Rice T, Xiao Y, Ali-Osman F, Wang F, Stoddard SM, Sprau DJ, Kosel ML, Wiencke JK, Wiemels JL, Patoka JS, Davis F, McCarthy B, Rynearson AL, Worra JB, Fridley BL, O'Neill BP, Buckner JC, Il'yasova D, Jenkins RB, Wrensch MR. Associations of high-grade glioma with glioma risk alleles and histories of allergy and smoking. Am J Epidemiol 2011; 174:574-81. [PMID: 21742680 DOI: 10.1093/aje/kwr124] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Glioma risk has consistently been inversely associated with allergy history but not with smoking history despite putative biologic plausibility. Data from 855 high-grade glioma cases and 1,160 controls from 4 geographic regions of the United States during 1997-2008 were analyzed for interactions between allergy and smoking histories and inherited variants in 5 established glioma risk regions: 5p15.3 (TERT), 8q24.21 (CCDC26/MLZE), 9p21.3 (CDKN2B), 11q23.3 (PHLDB1/DDX6), and 20q13.3 (RTEL1). The inverse relation between allergy and glioma was stronger among those who did not (odds ratio(allergy-glioma) = 0.40, 95% confidence interval: 0.28, 0.58) versus those who did (odds ratio(allergy-glioma) = 0.76, 95% confidence interval: 0.59, 0.97; P(interaction) = 0.02) carry the 9p21.3 risk allele. However, the inverse association with allergy was stronger among those who carried (odds ratio(allergy-glioma) = 0.44, 95% confidence interval: 0.29, 0.68) versus those who did not carry (odds ratio(allergy-glioma) = 0.68, 95% confidence interval: 0.54, 0.86) the 20q13.3 glioma risk allele, but this interaction was not statistically significant (P = 0.14). No relation was observed between glioma risk and smoking (odds ratio = 0.92, 95% confidence interval: 0.77, 1.10; P = 0.37), and there were no interactions for glioma risk of smoking history with any of the risk alleles. The authors' observations are consistent with a recent report that the inherited glioma risk variants in chromosome regions 9p21.3 and 20q13.3 may modify the inverse association of allergy and glioma.
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Affiliation(s)
- Daniel H Lachance
- Department of Neurology, Mayo Clinic, 200 First Street SW,Rochester, MN 55905, USA.
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22
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Jenkins RB, Wrensch MR, Johnson D, Fridley BL, Decker PA, Xiao Y, Kollmeyer TM, Rynearson AL, Fink S, Rice T, McCoy LS, Halder C, Kosel ML, Giannini C, Tihan T, O'Neill BP, Lachance DH, Yang P, Wiemels J, Wiencke JK. Distinct germ line polymorphisms underlie glioma morphologic heterogeneity. Cancer Genet 2011; 204:13-8. [PMID: 21356187 DOI: 10.1016/j.cancergencyto.2010.10.002] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2010] [Revised: 10/04/2010] [Accepted: 10/05/2010] [Indexed: 12/24/2022]
Abstract
Two recent genome-wide association studies reported that single nucleotide polymorphisms (SNPs) in (or near) TERT (5p15), CCDC26 (8q24), CDKN2A/B (9p21), PHLDB1 (11q23), and RTEL1 (20q13) are associated with infiltrating glioma. From these reports, it was not clear whether the single nucleotide polymorphism associations predispose to glioma in general or whether they are specific to certain glioma grades or morphologic subtypes. To identify hypothesized associations between susceptibility loci and tumor subtype, we genotyped two case-control groups composed of the spectrum of infiltrating glioma subtypes and stratified the analyses by type. We report that specific germ line polymorphisms are associated with different glioma subtypes. CCDC26 (8q24) region polymorphisms are strongly associated with oligodendroglial tumor risk (rs4295627, odds ratio [OR] = 2.05, P = 8.3 × 10(-11)) but not glioblastoma risk. The opposite is true of RTEL (20q13) region polymorphisms, which are significantly associated with glioblastoma (rs2297440, OR = 0.56, P = 4.6 × 10(-10)) but not oligodendroglial tumor. The SNPs in or near CCDC26 (8q24) are associated with oligodendroglial tumors regardless of combined 1p and 19q deletion status; however, the association is greatest for those with combined deletion (rs4295627, OR = 2.77, P = 2.6 × 10(-9)). These observations generate hypotheses concerning the possible mechanisms by which specific SNPs (or alterations in linkage disequilibrium with such SNPs) are associated with glioma development.
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Affiliation(s)
- Robert B Jenkins
- Division of Experimental Pathology, Mayo Clinic, Rochester, MN, USA.
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Zhou M, Wiemels JL, Bracci PM, Wrensch MR, McCoy LS, Rice T, Sison JD, Patoka JS, Wiencke JK. Circulating levels of the innate and humoral immune regulators CD14 and CD23 are associated with adult glioma. Cancer Res 2010; 70:7534-42. [PMID: 20719886 DOI: 10.1158/0008-5472.can-10-0815] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Allergy history has been consistently inversely associated with glioma risk. Two serologic markers, soluble CD23 (sCD23) and soluble CD14 (sCD14), are part of the innate and adaptive humoral immune systems and modulate allergic responses in opposite directions, with sCD23 enhancing and sCD14 blunting inflammatory responses. We measured sCD23 and sCD14 in serum from blood that was drawn at a single time point from 1,079 glioma patients postdiagnosis and 736 healthy controls. Glioma was strongly associated with high sCD14 [highest versus lowest quartile odds ratio (OR), 3.94; 95% confidence interval (95% CI), 2.98-5.21] and low sCD23 (lowest versus highest quartile OR, 2.5; 95% CI, 1.89-3.23). Results were consistent across glioma histologic types and grades, but were strongest for glioblastoma. Whereas temozolomide treatment was not associated with either sCD14 or sCD23 levels among cases, those taking dexamethasone had somewhat lower sCD23 levels than those not taking dexamethasone. However, sCD23 was associated with case status regardless of dexamethasone treatment. These results augment the long-observed association between allergies and glioma and support a role for the innate and adaptive humoral functions of the immune system, in particular immunoregulatory proteins, in gliomagenesis.
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Affiliation(s)
- Mi Zhou
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94158, USA
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24
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Schwartzbaum JA, Xiao Y, Liu Y, Tsavachidis S, Berger MS, Bondy ML, Chang JS, Chang SM, Decker PA, Ding B, Hepworth SJ, Houlston RS, Hosking FJ, Jenkins RB, Kosel ML, McCoy LS, McKinney PA, Muir K, Patoka JS, Prados M, Rice T, Robertson LB, Schoemaker MJ, Shete S, Swerdlow AJ, Wiemels JL, Wiencke JK, Yang P, Wrensch MR. Inherited variation in immune genes and pathways and glioblastoma risk. Carcinogenesis 2010; 31:1770-7. [PMID: 20668009 PMCID: PMC2950934 DOI: 10.1093/carcin/bgq152] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
To determine whether inherited variations in immune function single-nucleotide polymorphisms (SNPs), genes or pathways affect glioblastoma risk, we analyzed data from recent genome-wide association studies in conjunction with predefined immune function genes and pathways. Gene and pathway analyses were conducted on two independent data sets using 6629 SNPs in 911 genes on 17 immune pathways from 525 glioblastoma cases and 602 controls from the University of California, San Francisco (UCSF) and a subset of 6029 SNPs in 893 genes from 531 cases and 1782 controls from MD Anderson (MDA). To further assess consistency of SNP-level associations, we also compared data from the UK (266 cases and 2482 controls) and the Mayo Clinic (114 cases and 111 controls). Although three correlated epidermal growth factor receptor (EGFR) SNPs were consistently associated with glioblastoma in all four data sets (Mantel-Haenzel P values = 1 × 10⁻⁵ to 4 × 10⁻³), independent replication is required as genome-wide significance was not attained. In gene-level analyses, eight immune function genes were significantly (minP < 0.05) associated with glioblastoma; the IL-2RA (CD25) cytokine gene had the smallest minP values in both UCSF (minP = 0.01) and MDA (minP = 0.001) data sets. The IL-2RA receptor is found on the surface of regulatory T cells potentially contributing to immunosuppression characteristic of the glioblastoma microenvironment. In pathway correlation analyses, cytokine signaling and adhesion-extravasation-migration pathways showed similar associations with glioblastoma risk in both MDA and UCSF data sets. Our findings represent the first systematic description of immune genes and pathways that characterize glioblastoma risk.
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Affiliation(s)
- Judith A Schwartzbaum
- Division of Epidemiology, College of Public Health, Ohio State University, Columbus, OH 43210, USA.
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25
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Abstract
Activation of gene transcription by radiation has been recently demonstrated in vitro. However, little is known on the specificity of these alterations on gene transcription. Prenatal irradiation is a known teratogen that affects the developing mammalian central nervous system (CNS). Altered neuronal migration has been suggested as a mechanism for abnormal development of prenatally irradiated brains. Fibronectin (FN), an extracellular glycoprotein, is essential for neural crest cell migration and neural cell growth. In addition, elevated levels of FN have been found in the extracellular matrix of irradiated lung. To test whether brain FN is affected by radiation, either FN level in insoluble matrix fraction or expression of FN mRNA was examined pre- and postnatally after irradiation. Mice (CD1), at 13 d of gestation (DG), served either as controls or were irradiated with gamma rays at 0.5 or 1 Gy. Control and irradiated animals were killed either at 13 DG, 14 DG, 17 DG, or 5, 6, or 14 d postnatal. Brain and liver were collected from offspring and analyzed for either total FN protein levels or relative mRNAs for FN and tubulin. Results of prenatal irradiation on reduction of postnatal brain weight relative to whole body weight and morphological reduction in cerebral cortex regions of postnatal brains are comparable to that reported by others. Insoluble matrix fraction (IMF) per gram of brain, liver, lung, and heart weight was not significantly different either between control and irradiated groups or between postnatal stages, suggesting that radiation did not affect the IMF. However, total amounts of FN in brain IMF at 17 DG were significantly different (p < .02) between normal (1.66 +/- 0.80 micrograms) and irradiated brains (0.58 +/- 0.22 microgram). FN mRNA was detectable at 13, 14, and 17 DG, but was not detectable at 6 and 14 d postnatal, indicating that FN mRNA is developmentally regulated. After 0.5 Gy of irradiation, expression of FN mRNA was reduced to 36% +/- 22% (1 h), 52% +/- 10% (1 d), and 76% +/- 10% (4 d) of the control level. After 1 Gy of irradiation, relative FN mRNA was 62% +/- 28% (1 h) and 75% +/- 3% (4 days) to the control level, respectively. This reduction was comparable to that reported by others for the cytoskeletal protein beta-actin. In contrast, mRNA for tubulin, another cytoskeletal protein, increased at 1 h after irradiation but then approached normal postnatally. The longer lasting alteration of FN may be more directly related to neural development, particularly if the reduction in FN is nonuniform.
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Affiliation(s)
- H K Meznarich
- Biology and Chemistry Department, Pacific Northwest Laboratory, Richland, 99352
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Sega GA, Sluder AE, McCoy LS, Owens JG, Generoso EE. The use of alkaline elution procedures to measure DNA damage in spermiogenic stages of mice exposed to methyl methanesulfonate. Mutat Res 1986; 159:55-63. [PMID: 3753620 DOI: 10.1016/0027-5107(86)90112-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The ability of methyl methanesulfonate (MMS) to induce DNA breakage in spermiogenic stages of the mouse was studied using an alkaline elution technique. At daily intervals over a 3-week period following i.p. injection of 50 mg MMS/kg, mature spermatozoa were recovered from treated (3H-labeled) and control (14C-labeled) animals, lysed together on polycarbonate filters, and eluted with a high pH (12.2) buffer. Elution of germ-cell DNA from MMS-treated animals was found to increase in stages in which genetic damage from MMS is greatest. In general, the pattern of DNA elution from treated, spermiogenic stages paralleled the pattern of sensitivity to dominant lethals, specific-locus mutations and heritable translocations found by other investigators. It also paralleled the pattern of sperm-head methylation and protamine methylation measured in an earlier study (Sega and Owens, 1983). At 9 days post treatment (sperm sampled were in mid-to late-spermatid stages at the time of MMS exposure) the elution of sperm DNA did not change significantly over a pH range of 11.6-12.8, suggesting that, at the time of assay, DNA breaks were already present in the sperm. Because of the parallelism found between increased sperm DNA elution and increased genetic damage after mutagen treatment, alkaline elution may prove useful in monitoring potential genetic damage in human sperm.
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