Literature DB >> 21717196

Human immunoglobulin G levels of viruses and associated glioma risk.

Sara Sjöström1, Ulf Hjalmars, Per Juto, Göran Wadell, Göran Hallmans, Anne Tjönneland, Jytte Halkjaer, Jonas Manjer, Martin Almquist, Beatrice S Melin.   

Abstract

Few consistent etiological factors have been identified for primary brain tumors. Inverse associations to asthma and low levels of varicella-zoster virus, immunoglobulin (Ig) levels in prevalent cases have indicted a role for the immune system in the development of glioma. Because samples from prevalent cases of glioma could be influenced by treatments such as steroids and chemotherapy, we investigated pre-diagnostic samples from three large Scandinavian cohorts. To test the hypothesis that immune response levels to these viruses are associated etiologically with glioma risk, we investigated pre-diagnostic immunoglobulin levels for cytomegalovirus (CMV), varicella-zoster virus (VZV), adenovirus (Ad), and Epstein-Barr virus (EBV) including the nuclear antigen (EBNA1) using plasma samples from 197 cases of adult glioma and 394 controls collected from population-based cohorts in Sweden and Denmark. Low VZV IgG levels were marginally significantly more common in glioma cases than the controls (odds ratio (OR) = 0.68, 95% CI 0.41-1.13) for the fourth compared with the first quartile (p = 0.06 for trend). These results were more prominent when analyzing cases with blood sampling at least 2 years before diagnosis (OR = 0.63, 95% CI 0.37-1.08) (p = 0.03). No association with glioma risk was observed for CMV, EBV, and adenovirus.

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Year:  2011        PMID: 21717196      PMCID: PMC3146711          DOI: 10.1007/s10552-011-9799-3

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


Introduction

Gliomas are the most common primary malignant brain tumor. Although glioma treatment strategies—surgery, irradiation, and chemotherapy—have improved, the prognosis is still poor compared with many other human malignancies [1, 2]. Recently, the concomitant use of chemotherapy and irradiation and the use of the antiangiogenic treatment bevacizumab have improved prognosis [3]. As few etiological factors for glioma have been identified, few effective preventive strategies have been developed [4, 5]. The only confirmed risk factors are high dose of ionizing radiation and some rare hereditary predisposing conditions that are only found in less than 5% of all glioma cases [6, 7]. A familial aggregation of gliomas has been observed in several studies [8-10] and recently five genes with low penetrance have been strongly associated with glioma risk [11, 12]. The question if viruses might cause, promote, or prevent human brain tumors is of great interest as viruses have been proven to cause several other types of cancers [13]. Earlier studies have shown evidence of viral DNA or proteins in tumor tissue for example JCV and SV40 [14, 15]. CMV and adenoviruses have also been reported to be present in brain tumor tissue [16-20]. It is, however, unclear whether their presence is due to the immunosuppressive environment in the tumor, making it a predilection site for viruses, or whether the presence of viruses in the tumor is due to an etiological impact. Immunologic response to viral infections may be associated with the risk of developing glioma or glioblastoma [1]. Statistically significant inverse associations of adult glioma to both history of chickenpox and immunoglobulin G antibodies against varicella-zoster virus have been reported [21-23]. Patients with glioma and glioblastoma had levels of anti-varicella-zoster virus immunoglobulin G significantly lower than controls, indicating that the level of immune response to viruses may play a role in glioma induction or progression. Although some studies speculated whether the lowered IgG-levels preceded tumor diagnosis, this has not been clarified. Furthermore, several studies have shown an inverse association between occurrence of allergic diseases and brain tumors, a finding that indicates that the immune system function is important for glioma etiology [24-26]. In this study, we investigated the association between IgG levels of four viruses in pre-diagnostic samples and whether these levels were associated with glioma risk.

Materials and methods

Study population

This case–control study was based on 197 glioma cases and 394 controls from three cohorts: Northern Sweden Health and Disease Study—The Medical Biobank (NSHDS) (79 glioma cases and 158 controls); the Malmö Diet and Cancer Study (MDCS) (45 glioma cases and 90 controls); and the Diet, Cancer, and Health cohort from Copenhagen (73 glioma cases and 146 controls). The controls were matched for age, sex, and cohort. The male/female distribution was 47.7%/52.3%, and the median ages at blood sampling were 55.4 years in cases and 55.3 in controls. Table 1 describes the cases and controls from the different cohorts. The diagnosis of glioma was identified through linkage to the local cancer registries. The registries have close to 100% coverage of cancer diagnoses since both clinicians and pathologists in Sweden and Denmark are legally obligated to report cancer diagnoses.
Table 1

Descriptive table showing the male/female ratio (numbers and percentages for cases shown, and percentages for controls are the same as for cases) and median age at blood sample for the whole cohort and each cohort

AllNSHDSMalmöCopenhagen
CaseControlCaseControlCaseControlCaseControl
All19739479158459073146
Male94 (47.7%)18833 (41.8%)6625 (55.6%)5036 (49.3%)72
Female103 (53.3%)20646 (58.2%)9220 (44.4%)4037 (50.7%)74
Median age at blood sample55.455.350.150.158.158.057.557.6
Descriptive table showing the male/female ratio (numbers and percentages for cases shown, and percentages for controls are the same as for cases) and median age at blood sample for the whole cohort and each cohort For the Swedish cases, we were able to receive classification of the tumors according to SNOMED (Systematized Nomenclature of Medicine). A total of 61 glioblastoma (SNOMED 94403), 8 astrocytoma grade 1–2 (SNOMED 94003, 94203, 94213), 32 astrocytoma grade 3 (SNOMED 94013), 14 oligodendroglioma (SNOMED 94503, 94513, 94603), 2 oligoastrocytoma (SNOMED 93823), and 5 malignant glioma (SNOMED 93803), were seen in the Swedish cases. SNOMED classification was not available on the cases from Copenhagen.

Northern Sweden health and disease study

NSHDS is a population-based cohort consisting of blood samples and questionnaires from three subcohorts [27]: The Västerbotten Intervention Program (VIP); the Västerbotten Mammary Screening Program; and the Northern Sweden MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Project. By June 2006, the VIP cohort comprised 94,630 samples from 74,690 individuals. These individuals were asked to participate in a health study the year they turned 40, 50, and 60. Since 1995, blood samples were collected for the Mammary Screening Program and have been added to the VIP cohort. From 1997, repeated screening was started in the Mammography Screening Program in the age group 50–69. The MONICA project provided 11,000 random blood samples from 7,500 individuals ranging from 25 to 64 years old. All cohorts were population based and contained 166,000 randomly selected men and women and 278,000 sample occasions. Seventy-nine individuals were later diagnosed with a glioma [28].

The Malmö Diet and Cancer Study

The Malmö Diet and Cancer Study (MDCS) is a population-based prospective cohort study. Between 1991 and 1996, men and women between the ages of 44 and 77 were recruited with the main goal to study the impact of diet on cancer incidence and mortality. In all, 28,098 blood samples were stored in a medical biological bank. Regular follow-up with the national registries of mortality and cancer was done, and 45 individuals from the cohort were later diagnosed with a glioma [29, 30].

Diet, cancer, and health—Denmark

The Diet, Cancer, and Health study is a population-based prospective cohort study from Denmark where 80,996 men and 79,729 women were invited to participate between December 1993 and May 1997. The study included individuals between 50 and 64 years of age, born in Denmark, and with no diagnosis of cancer registered in the Danish Cancer Registry. Blood samples were obtained from 57,053 participants. From these individuals, 73 were later diagnosed with glioma [31]. The controls were collected from living individuals with no history of primary brain tumor at the time of case diagnosis and matched for age, gender, and calendar year of sampling. All individuals had a written informed consent and the study was approved by the local ethical committee at Umeå University.

Laboratory methods

IgG antibodies for adenovirus, CMV, and VZV were analyzed, by in-house enzyme-linked immunosorbent assays (ELISA), at the Department of Virology at Umeå University. The origins of viral antigens used were for adenovirus a mixture of two local strains of Ad 3 and Ad 5, for CMV laboratory strain CMV 169 and for VZV a local strain. The analyses were blinded and performed in duplicate in a pair of wells coated with viral antigen and control antigen. In each run, high and low positive controls and negative controls were included. The sera were analyzed in a final dilution of 1/441, in which dilution there is a high correlation to antibody levels expressed as titers. The antibody activity in the single dilution of the sample was expressed in arbitrary units (AU), i.e., as a percentage of the net-absorbance (absorbance of virus-coated well) of the high positive control. Samples with <10 AU were negative. The IgG-anti-EBNA-1 response to EBV was measured using a commercial ELISA from Biotest Germany according to the manufacture’s instructions. The antibody activity of the sample was expressed in AU as a percentage of the positive control and the manufacturer’s cut-off value for presence of antibodies was used. The IgG response to EBV viral capsid antigen (VCA) was analyzed by immunoflourescence assay in a high screening dilution (1/320) using butyric acid-stimulated P3HR1 lymphoma cells. The samples were blinded to case–control status and an experienced microscopist read all the samples (PJ). The fluorescence activity grading was aggregated to three categories: “low” (negative in 1/320 dilution), “intermediate” (weak positive), and “high” (intermediate and strong positive). Negative samples in 1/320 dilution were identified by re-analysis in 1/20 dilution. VCA was not used in the statistical analyses except for ruling out active infection. All methods are accredited at The Swedish Board for Accreditation and Conformity Assessment.

Statistical methods

The proportions of cases and controls that were positive for the different immunoglobulin G and the mean age at blood sample in these groups were calculated and were estimated separately for glioma and for glioblastoma (SNOMED 94403). In the glioblastoma group, only the Swedish cases were available for analysis as the SNOMED code was not available for the Danish cases. The IgG antibody levels were divided into four same-sized quartiles, and cut-offs were based on IgG levels in controls. Binary logistic regression was used to compare the quartiles between cases and controls, and the lowest quartile was set as a reference. All odds ratios (OR) were adjusted for sex, cohort (Umeå, Malmö, and Denmark), and age at blood sampling. Separate analyses were also performed on cases with blood samples taken at least 2 years before diagnosis to omit any bias associated with the preclinical phase of the disease. The correlation between genotypes and IgG quartiles was performed by chi-square test using Fisher’s exact test and p < 0.05 was identified as the level for significance. SPSS software (v. 17) was used for the analyses.

Results

Overall, there were high levels of seropositivity for the studied viruses, varying from 85.2 to 100%, and this result was similar in cases and controls (Table 2). The analyses were successful for close to 100% of the subsets of immunoglobulin. The mean age at blood samples did not differ significantly between the cases and the controls (Table 3). The quartiles did not differ significantly between glioma and glioblastoma cases and controls, but a non-significant trend of lower VZV odds ratios was seen in the second, third, and fourth quartile (OR = 0.85, 95% CI 0.53–1.36; OR = 0.74, 95% CI 0.45–1.23; and OR = 0.68, 95% CI 0.41–0.13, respectively) (p = 0.06) (Table 4). The trend test was significant when restricting the analyses to glioma cases with a latency of more than 2 years from sampling to glioma diagnosis (total 164 cases) (p-trend test, p = 0.03) (Table 5).
Table 2

Incidence of subjects positive for immunoglobulin G antibodies, in adenovirus, cytomegalovirus, Epstein-Barr virus, and varicella-zoster virus in the Umeå, Malmö, and Copenhagen cohorts

All subjectsControlsGlioma casesGlioblastoma Sweden
No. positive/total no.Positive (%)No. positive/total no.Positive (%)No. positive/total no.% positive p-valueNo. positive/total no.% positive p-valuea
Immunoglobulin G antibodies
 Adenovirus584/58999.2388/39398.7196/1961000.1861/611001.00
 Cytomegalovirus504/58985.6335/39385.2169/19686.20.8053/6186.91.00
 Epstein-Barr virus511/58787.1347/39188.7164/19683.70.0954/6188.50.15
 Varicella-zoster virus582/58998.8389/39399.0193/19698.50.6959/6196.70.26

Cases/controls and Swedish cases (Umeå and Malmö) with glioblastoma shown separately. Information on tumor subtypes was not available for the cases from Copenhagen. No significant difference in numbers positive between cases and controls

aControls from Copenhagen excluded in the analysis

Table 3

Mean ages at blood sample for cases and controls from the Umeå, Malmö, and Copenhagen cohorts

PositiveNegative
Mean age (years)No. of SubjectsMean age (years)No. of Subjects
Immunoglobulin G antibodies
 Controls
  Adenovirus54.738958.75
  Cytomegalovirus54.833654.658
  Epstein-Barr virusa 54.634756.744
  Varicella-zoster virus54.739059.24
 Cases
  Adenovirus54.81970
  Cytomegalovirus54.717055.427
  Epstein-Barr virusa 55.016453.832
  Varicella-zoster virus54.719460.33

Positive or negative for immunoglobulin G antibody levels for adenovirus, cytomegalovirus, Epstein-Barr virus, and varicella-zoster virus. There are no differences in mean age for cases and controls as the controls are matched to cases on age and year of blood sample

aBased on immunoglobulin G antibody levels analyzed using EBNA

Table 4

Cases and controls odds ratios (OR) and 95% confidence intervals (CI) for risk of glioma in the Umeå, Malmö, and Copenhagen cohorts and glioblastoma in the Umeå and Malmö cohorts

CasesGlioma cases versus controlsGlioblastoma casesGlioblastoma cases versus controlsb
No.%OR(95% CI)No.%OR(95% CI)
Adenovirus, negative versus positive
 Adenovirus, quartiles
  1st4020.41.01626.21.0
  2nd5930.11.39(0.85–2.28)1626.20.81(0.37–1.79)
  3rd4221.41.07(0.63–1.81)1524.60.95(0.42–2.12)
  4th5528.11.27(0.76–2.12)1423.00.57(0.25–1.31)
  p-trend0.490.28
Cytomegalovirus, negative versus positive1.08(0.66–1.78)0.97(0.43–2.28)
 Cytomegalovirus, quartiles
  1st4824.51.01524.61.0
  2nd6231.61.18(0.73–1.90)1931.10.93(0.42–2.05)
  3rd4120.91.08(0.85–1.38)1423.00.96(0.65–1.43)
  4th4523.01.06(0.90–1.24)1321.30.98(0.75–1.27)
  p-trend0.670.36
Epstein-Barr virusa, negative versus positive0.64(0.39–1.06)0.47(0.18–1.23)
 Epstein-Barr virusa, quartiles
  1st5829.61.01727.91.0
  2nd4623.50.79(0.49–1.29)1524.60.76(0.34–1.70)
  3rd4321.90.71(0.44–1.16)1626.20.71(0.33–1.55)
  4th4925.00.78(0.49–1.26)1321.30.63(0.28–1.44)
  p-trend0.250.17
Varicella-zoster virus, negative versus positive0.66(0.15–3.01)0.34(0.05–2.14)
 Varicella-zoster virus, quartiles
  1st5528.11.01219.71.0
  2nd5528.10.85(0.53–1.36)2642.61.71(0.78–3.74)
  3rd4321.90.74(0.45–1.23)1626.21.08(0.45–2.57)
  4th4321.90.68(0.41–1.13)711.50.39(0.14–1.08)
  p-trend0.060.02

All odds ratios are adjusted for cohort, sex, and age at blood sample

aBased on immunoglobulin G antibody levels analyzed using EBNA

bGlioblastoma cases from the Umeå and Malmö cohorts. Copenhagen cases and controls excluded

Table 5

Cases and controls odds ratios (OR) and 95% confidence intervals (CI) for risk of glioma in the Umeå, Malmö, and Copenhagen cohorts and glioblastoma in the Umeå and Malmö cohorts

CasesGlioma cases versus controlsGlioblastoma casesGlioblastoma cases versus controlsb
No.%OR(95% CI)No.%OR(95% CI)
Adenovirus, negative versus positive
 Adenovirus, quartiles
  1st3521.31.01424.11.0
  2nd4426.81.15(0.67–1.96)1627.60.94(0.42–2.11)
  3rd3823.21.12(0.64–1.93)1424.11.01(0.43–2.37)
  4th4728.71.28(0.75–2.19)1424.10.67(0.28–1.58)
  p-trend0.400.71
Cytomegalovirus, negative versus positive1.29(0.74–2.25)0.93(0.40–2.16)
 Cytomegalovirus, quartiles
  1st3923.81.01525.91.0
  2nd4929.91.14(0.68–1.91)1729.30.86(0.38–1.92)
  3rd3622.01.07(0.83–1.38)1424.10.93(0.62–1.39)
  4th4024.41.05(0.88–1.24)1220.70.95(0.73–1.24)
  p-trend0.920.66
Epstein-Barr virusa, negative versus positive0.72(0.42–1.23)0.44(0.17–1.14)
 Epstein-Barr virusa, quartiles
  1st4628.01.01729.31.0
  2nd4225.60.90(0.54–1.50)1525.90.76(0.34–1.70)
  3rd3622.00.78(0.46–1.31)1424.10.63(0.28–1.40)
  4th4024.40.79(0.47–1.32)1220.70.57(0.24–1.32)
  p-trend0.270.35
Varicella-zoster virus, negative versus positive0.54(0.12–2.47)0.32(0.05–2.03)
 Varicella-zoster virus, quartiles
  1st4829.31.01220.71.0
  2nd4728.70.84(0.51–1–37)2441.41.59(0.72–3.50)
  3rd3521.30.70(0.41–1.19)1525.91.03(0.43–2.47)
  4th3420.70.63(0.37–1.08)712.10.39(0.14–1.08)
  p-trend0.0290.031

Only cases with at least 2 years between blood sample and glioma/glioblastoma diagnosis included. All odds ratios are adjusted for cohort, sex, and age at blood sample

aBased on immunoglobulin G antibody levels analyzed using EBNA

bGlioblastoma cases from the Umeå and Malmö cohorts. Copenhagen cases and controls excluded

Incidence of subjects positive for immunoglobulin G antibodies, in adenovirus, cytomegalovirus, Epstein-Barr virus, and varicella-zoster virus in the Umeå, Malmö, and Copenhagen cohorts Cases/controls and Swedish cases (Umeå and Malmö) with glioblastoma shown separately. Information on tumor subtypes was not available for the cases from Copenhagen. No significant difference in numbers positive between cases and controls aControls from Copenhagen excluded in the analysis Mean ages at blood sample for cases and controls from the Umeå, Malmö, and Copenhagen cohorts Positive or negative for immunoglobulin G antibody levels for adenovirus, cytomegalovirus, Epstein-Barr virus, and varicella-zoster virus. There are no differences in mean age for cases and controls as the controls are matched to cases on age and year of blood sample aBased on immunoglobulin G antibody levels analyzed using EBNA Cases and controls odds ratios (OR) and 95% confidence intervals (CI) for risk of glioma in the Umeå, Malmö, and Copenhagen cohorts and glioblastoma in the Umeå and Malmö cohorts All odds ratios are adjusted for cohort, sex, and age at blood sample aBased on immunoglobulin G antibody levels analyzed using EBNA bGlioblastoma cases from the Umeå and Malmö cohorts. Copenhagen cases and controls excluded Cases and controls odds ratios (OR) and 95% confidence intervals (CI) for risk of glioma in the Umeå, Malmö, and Copenhagen cohorts and glioblastoma in the Umeå and Malmö cohorts Only cases with at least 2 years between blood sample and glioma/glioblastoma diagnosis included. All odds ratios are adjusted for cohort, sex, and age at blood sample aBased on immunoglobulin G antibody levels analyzed using EBNA bGlioblastoma cases from the Umeå and Malmö cohorts. Copenhagen cases and controls excluded

Discussion

To our knowledge, the present study is the first comprehensive study where virus-serology for EBV, CMV, VZV, and adenovirus is analyzed in samples from glioma/glioblastoma cases taken before diagnosis. This has previously been studied in astrocytoma for JC virus, BK virus, and simian virus 40, but no association to risk was found [32]. We found that immunoglobulin G to varicella-zoster virus was lower in cases versus controls especially in samples taken at least 2 years before diagnosis, a finding that indicates there might be an etiological association. No association between antibody levels for CMV, EBV, or adenoviruses and glioma risk was found. Varicella-zoster virus (VZV) is neurotropic, and viruses remain permanent in neural ganglia after a primary infection. Furthermore, several studies have shown that immunoglobulin G levels of VZV are lower in serum from glioma cases, especially glioblastoma cases, compared with controls [21-23]. This lower level of VZV in serum from glioma cases could be because the tumor itself or the early treatment of the tumor influenced the immune response levels. Our data show a significant trend for lower VZV IgG levels especially in cases with blood samples taken more than 2 years before diagnosis, indicating that this could be a true etiological association. A medical history of asthma and allergies have been inversely correlated to glioma in several case–control studies indicating that the immune system may be a key player in glioma development [33, 34]. The biological reasons for this association are currently unknown. A previously stated theory is that a strong immune system more easily could detect viruses and therefore be able to inhibit the growth of small cancer cell clusters [22]. That can be demonstrated by the recent study showing that T-cell infiltration impacts on glioblastoma survival [35]. Of course, a confounder may explain this association in our study as well as in previous studies. Many reports have been published concerning potentially oncogenic viruses, notably some herpes viruses such as human cytomegalovirus (HCMV), varicella-zoster virus (VZV), Epstein-Barr virus (EBV), and adenoviruses. Human cytomegalovirus (HCMV) is a ubiquitous herpes virus that is of particular interest and has long been suspected to play a role in the development of human cancers [36]. This virus has an affinity for glial cells and may possibly play an important role in glioma etiology. This affinity has been shown to influence glioma cells in several ways that might contribute to tumor progression, resulting in altered tumor cell properties such as reduced apoptosis, increased cell invasion, telomerase activation, and enhanced angiogenesis [37, 38]. A study published in 2002 reported that human cytomegalovirus (HCMV) gene products and nucleic acids were present in all 27 glioma samples investigated but not in other brain tissue [39]. Recently, this finding has been confirmed by other research groups [17, 18]. Although a causal relationship between HCMV and human cancer has not been clearly proven, it is obvious that the virus may have a potential to promote oncogenesis or tumor progression in human cells. Epstein-Barr-virus infections (EBV) have shown a clear association with human malignancies and some CNS tumors [40]. An increased risk for primary central nervous system lymphoma occurs in immunodeficient patients [41]. EBV might be involved in pathogenesis of other brain tumors, i.e., glioma. There is, however, no conclusive evidence of any glial tumor associated with EBV infections [42, 43]. Adenovirus has been shown to be neurotropic and one study has shown it to be present in childhood brain tumors [20]. We did not find any evidence of an association of EBV or adenovirus immunoglobulin levels with glioma risk. As the blood samples were taken before diagnosis, antibody levels were not affected by any anti-tumor therapy, an important difference compared with previous studies. These viral infections are common in the general population and the seroprevalences in cases and controls were high, limiting the statistical power of this study. Larger nested case–control studies within cohorts—using both pre-diagnostic and post-diagnostic serological samples in combination with matched tumor sample to discern potential effects on antibody levels by tumor tissue or treatment effects—could provide valuable information. In conclusion, the present study indicates that immune response to the varicella-zoster virus might be associated with glioma risk.
  41 in total

1.  Familial aggregation of astrocytoma in northern Sweden: an epidemiological cohort study.

Authors:  B Malmer; H Grönberg; A T Bergenheim; P Lenner; R Henriksson
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Authors:  Judith Schwartzbaum; Anders Ahlbom; Beatrice Malmer; Stefan Lönn; Anthony J Brookes; Hani Doss; Waldemar Debinski; Roger Henriksson; Maria Feychting
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4.  History of chickenpox and shingles and prevalence of antibodies to varicella-zoster virus and three other herpesviruses among adults with glioma and controls.

Authors:  Margaret Wrensch; Adriana Weinberg; John Wiencke; Rei Miike; Jennette Sison; Joseph Wiemels; Geoffrey Barger; Gerald DeLorenze; Kenneth Aldape; Karl Kelsey
Journal:  Am J Epidemiol       Date:  2005-05-15       Impact factor: 4.897

5.  Sensitive detection of human cytomegalovirus in tumors and peripheral blood of patients diagnosed with glioblastoma.

Authors:  Duane A Mitchell; Weihua Xie; Robert Schmittling; Chris Learn; Allan Friedman; Roger E McLendon; John H Sampson
Journal:  Neuro Oncol       Date:  2007-10-19       Impact factor: 12.300

Review 6.  The common mechanisms of transformation by the small DNA tumor viruses: The inactivation of tumor suppressor gene products: p53.

Authors:  Arnold J Levine
Journal:  Virology       Date:  2008-12-11       Impact factor: 3.616

7.  Activation of telomerase by human cytomegalovirus.

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Journal:  J Natl Cancer Inst       Date:  2009-03-24       Impact factor: 13.506

Review 8.  The evolution of our understanding on glioma.

Authors:  Ana Martin-Villalba; Ali Fuat Okuducu; Andreas von Deimling
Journal:  Brain Pathol       Date:  2008-03-26       Impact factor: 6.508

9.  Human cytomegalovirus induces cellular tyrosine kinase signaling and promotes glioma cell invasiveness.

Authors:  Charles S Cobbs; Liliana Soroceanu; Scott Denham; Wenyue Zhang; William J Britt; Russ Pieper; Matthias H Kraus
Journal:  J Neurooncol       Date:  2007-06-23       Impact factor: 4.130

10.  Variants in the CDKN2B and RTEL1 regions are associated with high-grade glioma susceptibility.

Authors:  Margaret Wrensch; Robert B Jenkins; Jeffrey S Chang; Ru-Fang Yeh; Yuanyuan Xiao; Paul A Decker; Karla V Ballman; Mitchel Berger; Jan C Buckner; Susan Chang; Caterina Giannini; Chandralekha Halder; Thomas M Kollmeyer; Matthew L Kosel; Daniel H LaChance; Lucie McCoy; Brian P O'Neill; Joe Patoka; Alexander R Pico; Michael Prados; Charles Quesenberry; Terri Rice; Amanda L Rynearson; Ivan Smirnov; Tarik Tihan; Joe Wiemels; Ping Yang; John K Wiencke
Journal:  Nat Genet       Date:  2009-07-05       Impact factor: 38.330

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Authors:  Peter Baumgarten; Martin Michaelis; Florian Rothweiler; Tatjana Starzetz; Holger F Rabenau; Annemarie Berger; Lukas Jennewein; Anne K Braczynski; Kea Franz; Volker Seifert; Joachim P Steinbach; Regina Allwinn; Michel Mittelbronn; Jindrich Cinatl
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3.  Interaction of allergy history and antibodies to specific varicella-zoster virus proteins on glioma risk.

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4.  Early life exposures and the risk of adult glioma.

Authors:  Gabriella M Anic; Melissa H Madden; Kelly Sincich; Reid C Thompson; L Burton Nabors; Jeffrey J Olson; Renato V LaRocca; James E Browning; Edward Pan; Kathleen M Egan
Journal:  Eur J Epidemiol       Date:  2013-05-17       Impact factor: 8.082

5.  Detection of human cytomegalovirus in different histopathological types of glioma in Iraqi patients.

Authors:  Haidar A Shamran; Haider S Kadhim; Aws R Hussain; Abdulameer Kareem; Dennis D Taub; Robert L Price; Mitzi Nagarkatti; Prakash S Nagarkatti; Udai P Singh
Journal:  Biomed Res Int       Date:  2015-02-01       Impact factor: 3.411

6.  Herpes virus seroepidemiology in the adult Swedish population.

Authors:  Jan Olsson; Eloise Kok; Rolf Adolfsson; Hugo Lövheim; Fredrik Elgh
Journal:  Immun Ageing       Date:  2017-05-10       Impact factor: 6.400

7.  Epstein-Barr virus- and cytomegalovirus-specific immune response in patients with brain cancer.

Authors:  Zhenjiang Liu; Thomas Poiret; Qingda Meng; Martin Rao; Anna von Landenberg; Esther Schoutrop; Davide Valentini; Ernest Dodoo; Inti Peredo-Harvey; Markus Maeurer
Journal:  J Transl Med       Date:  2018-07-03       Impact factor: 5.531

8.  A genetic signature including apolipoprotein Eε4 potentiates the risk of herpes simplex-associated Alzheimer's disease.

Authors:  Karin Lopatko Lindman; Bodil Weidung; Jan Olsson; Maria Josefsson; Eloise Kok; Anders Johansson; Sture Eriksson; Göran Hallmans; Fredrik Elgh; Hugo Lövheim
Journal:  Alzheimers Dement (N Y)       Date:  2019-11-04

9.  Anti-human-cytomegalovirus immunoglobulin G levels in glioma risk and prognosis.

Authors:  E Susan Amirian; Deborah Marquez-Do; Melissa L Bondy; Michael E Scheurer
Journal:  Cancer Med       Date:  2013-02-03       Impact factor: 4.452

10.  History of chickenpox in glioma risk: a report from the glioma international case-control study (GICC).

Authors:  E Susan Amirian; Michael E Scheurer; Renke Zhou; Margaret R Wrensch; Georgina N Armstrong; Daniel Lachance; Sara H Olson; Ching C Lau; Elizabeth B Claus; Jill S Barnholtz-Sloan; Dora Il'yasova; Joellen Schildkraut; Francis Ali-Osman; Siegal Sadetzki; Robert B Jenkins; Jonine L Bernstein; Ryan T Merrell; Faith G Davis; Rose Lai; Sanjay Shete; Christopher I Amos; Beatrice S Melin; Melissa L Bondy
Journal:  Cancer Med       Date:  2016-03-13       Impact factor: 4.452

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