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Träfflista för sökning "WFRF:(Melin Beatrice) ;srt2:(2012)"

Sökning: WFRF:(Melin Beatrice) > (2012)

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11.
  • Rajaraman, Preetha, et al. (författare)
  • Genome-wide association study of glioma and meta-analysis
  • 2012
  • Ingår i: Human Genetics. - : SPRINGER. - 0340-6717 .- 1432-1203. ; 131:12, s. 1877-1888
  • Tidskriftsartikel (refereegranskat)abstract
    • Gliomas account for approximately 80 % of all primary malignant brain tumors and, despite improvements in clinical care over the last 20 years, remain among the most lethal tumors, underscoring the need for gaining new insights that could translate into clinical advances. Recent genome-wide association studies (GWAS) have identified seven new susceptibility regions. We conducted a new independent GWAS of glioma using 1,856 cases and 4,955 controls (from 14 cohort studies, 3 case-control studies, and 1 population-based case-only study) and found evidence of strong replication for three of the seven previously reported associations at 20q13.33 (RTEL), 5p15.33 (TERT), and 9p21.3 (CDKN2BAS), and consistent association signals for the remaining four at 7p11.2 (EGFR both loci), 8q24.21 (CCDC26) and 11q23.3 (PHLDB1). The direction and magnitude of the signal were consistent for samples from cohort and case-control studies, but the strength of the association was more pronounced for loci rs6010620 (20q,13.33; RTEL) and rs2736100 (5p15.33, TERT) in cohort studies despite the smaller number of cases in this group, likely due to relatively more higher grade tumors being captured in the cohort studies. We further examined the 85 most promising single nucleotide polymorphism (SNP) markers identified in our study in three replication sets (5,015 cases and 11,601 controls), but no new markers reached genome-wide significance. Our findings suggest that larger studies focusing on novel approaches as well as specific tumor subtypes or subgroups will be required to identify additional common susceptibility loci for glioma risk.
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13.
  • Sjöström, Sara, et al. (författare)
  • EGFR expression and glioblastoma outcome
  • 2012
  • Ingår i: Neuro-Oncology. - Oxford : Oxford University Press. - 1522-8517 .- 1523-5866. ; 14:Suppl. 3, s. 19-19
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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14.
  • Sjöström, Sara, 1977- (författare)
  • Risk and prognostic factors for malignant glioma
  • 2012
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Background: Glioblastoma is the most common and aggressive type of glioma and associated with poor prognosis. Apart from ionizing radiation and some rare genetic disorders, few aetiological factors have been identified for primary brain tumours. Inverse associations to asthma and low IgG levels for varicella zoster virus have in previous studies indicated that the immune system may play a role in glioma development. Little is known about prognostic factors in glioma. Previous studies have shown an association between age, Karnofsky performance status, O6-methylguanine-DNA methyltransferase (MGMT) hypermethylation, and prognosis. Polymorphisms in different low penetrance genes have in some studies been associated with glioma prognosis.Material and methods: In paper I, we analysed IgG levels for four different viruses, Epstein-Barr virus (EBV), cytomegalovirus (CMV), varicella zoster virus (VZV) and adenovirus (Ad), in prediagnostic blood samples from 197 cases with glioma and 394 controls collected from three large cohorts: the Northern Sweden Health and Disease Study; the Malmö Diet and Cancer Study; and the Diet, Cancer and Health cohort from Copenhagen. ELISA was used to measure IgG levels and for EBV response to both the nuclear antigen (EBNA1) and the viral capsid antigen (VCA) was measured, for VCA using immunoflourescence. IgG levels were divided into quartiles and binary logistic regression was used to compare the quartiles in cases and controls. All odds ratios were adjusted for age, sex, and cohort. In paper II-IV, we studied 176 glioblastoma cases from Sweden and Denmark. We collected treatment and follow-up data on the cases. We genotyped 30 tagging SNPs in EGF, 89 in EGFR, 27 in VEGFR2, and 17 in VEGF. We also studied 1458 SNPs in 136 DNA repair genes. Hazard ratios were calculated using Cox regression; the major allele was set as categorical variable and all HR were adjusted for age, sex, country, and treatment. For the DNA repair gene results, we adjusted the p-values for multiple testing. Significant findings were confirmed in separate datasets.Results and Discussion: We found a trend towards higher IgG VZV levels in controls compared to glioma cases, especially when restricting the analyses to only include glioma cases with at least 2 years between blood sample and diagnosis. This finding might indicate that there is an aetiological and not a disease-related association. This confirms previous findings and support that a strong immune system can detect and inhibit growth of small cancer clusters. In EGF, we found seven SNPs in one haplotype block that were significantly associated with glioblastoma survival. Four of the SNPs were available for confirmation; however, none reached statistical significance. One explanation could be age differences in the different cohorts. In EGFR, four SNPs associated with survival were found; however, as 89 polymorphisms were tested this was the expected outcome by chance. In VEGF and VEGFR2, we found two SNPs associated with glioblastoma survival, but they could not be confirmed in the separate dataset, and due to multiple testing, were considered to be false positives. Among the DNA repair genes, we found nine SNPs in three genes-MSH2, RAD51L1 and RECQL4-associated with glioblastoma survival after confirmation and adjustment for age, sex, country, and treatment. After adjusting for multiple testing, one SNP in MSH2 and one in RECQL4 remained significant.Conclusions: Our studies provide additional knowledge to the aetiological and prognostic factors important for glioma, emphasising the possible importance of immune function mechanisms. We found limited evidence for the role of genetic variants in glioma progression genes, and some for DNA repair variants as prognostic factors for glioblastoma survival.
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15.
  • Sun, Xiangqing, et al. (författare)
  • A variable age of onset segregation model for linkage analysis, with correction for ascertainment, applied to glioma
  • 2012
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 21:12, s. 2242-2251
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: We propose a two-step model-based approach, with correction for ascertainment, to linkage analysis of a binary trait with variable age of onset and apply it to a set of multiplex pedigrees segregating for adult glioma.Methods: First, we fit segregation models by formulating the likelihood for a person to have a bivariate phenotype, affection status and age of onset, along with other covariates, and from these we estimate population trait allele frequencies and penetrance parameters as a function of age (N=281 multiplex glioma pedigrees). Second, the best fitting models are used as trait models in multipoint linkage analysis (N=74 informative multiplex glioma pedigrees). To correct for ascertainment, a prevalence constraint is used in the likelihood of the segregation models for all 281 pedigrees. Then the trait allele frequencies are re-estimated for the pedigree founders of the subset of 74 pedigrees chosen for linkage analysis.Results: Using the best fitting segregation models in model-based multipoint linkage analysis, we identified two separate peaks on chromosome 17; the first agreed with a region identified by Shete et al. (1) who used model-free affected-only linkage analysis, but with a narrowed peak: and the second agreed with a second region they found but had a larger maximum LOD.Conclusions/Impact: Our approach has the advantage of not requiring markers to be in linkage equilibrium unless the minor allele frequency is small (markers which tend to be uninformative for linkage), and of using more of the available information for LOD-based linkage analysis.
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16.
  • Urayama, Kevin Y., et al. (författare)
  • Genome-Wide Association Study of Classical Hodgkin Lymphoma and Epstein-Barr Virus Status-Defined Subgroups
  • 2012
  • Ingår i: Journal of the National Cancer Institute. - Oxford : Oxford University Press (OUP). - 0027-8874 .- 1460-2105. ; 104:3, s. 240-253
  • Tidskriftsartikel (refereegranskat)abstract
    • Accumulating evidence suggests that risk factors for classical Hodgkin lymphoma (cHL) differ by tumor Epstein-Barr virus (EBV) status. This potential etiological heterogeneity is not recognized in current disease classification. We conducted a genome-wide association study of 1200 cHL patients and 6417 control subjects, with validation in an independent replication series, to identify common genetic variants associated with total cHL and subtypes defined by tumor EBV status. Multiple logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) assuming a log-additive genetic model for the variants. All statistical tests were two-sided. Two novel loci associated with total cHL irrespective of EBV status were identified in the major histocompatibility complex region; one resides adjacent to MICB (rs2248462: OR = 0.61, 95% CI = 0.53 to 0.69, P = 1.3 x 10(-13)) and the other at HLA-DRA (rs2395185: OR = 0.56, 95% CI = 0.50 to 0.62, P = 8.3 x 10(-25)) with both results confirmed in an independent replication series. Consistent with previous reports, associations were found between EBV-positive cHL and genetic variants within the class I region (rs2734986, HLA-A: OR = 2.45, 95% CI = 2.00 to 3.00, P = 1.2 x 10(-15); rs6904029, HCG9: OR = 0.46, 95% CI = 0.36 to 0.59, P = 5.5 x 10(-10)) and between EBV-negative cHL and rs6903608 within the class II region (rs6903608, HLA-DRA: OR = 2.08, 95% CI = 1.84 to 2.35, P = 6.1 x 10(-31)). The association between rs6903608 and EBV-negative cHL was confined to the nodular sclerosis histological subtype. Evidence for an association between EBV-negative cHL and rs20541 (5q31, IL13: OR = 1.53, 95% CI = 1.32 to 1.76, P = 5.4 x 10(-9)), a variant previously linked to psoriasis and asthma, was observed; however, the evidence for replication was less clear. Notably, one additional psoriasis-associated variant, rs27524 (5q15, ERAP1), showed evidence of an association with cHL in the genome-wide association study (OR = 1.21, 95% CI = 1.10 to 1.33, P = 1.5 x 10(-4)) and replication series (P = .03). Overall, these results provide strong evidence that EBV status is an etiologically important classification of cHL and also suggest that some components of the pathological process are common to both EBV-positive and EBV-negative patients.
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17.
  • Wibom, Carl, et al. (författare)
  • DNA-repair gene variants are associated with glioblastoma survival
  • 2012
  • Ingår i: Acta Oncologica. - : Informa Healthcare. - 0284-186X .- 1651-226X. ; 51:3, s. 325-332
  • Tidskriftsartikel (refereegranskat)abstract
    • Patient outcome from glioma may be influenced by germline variation. Considering the importance of DNA repair in cancer biology as well as in response to treatment, we studied the relationship between 1458 SNPs, which captured the majority of the common genetic variation in 136 DNA repair genes, in 138 glioblastoma samples from Sweden and Denmark. We confirmed our findings in an independent cohort of 121 glioblastoma patients from the UK. Our analysis revealed nine SNPs annotating MSH2, RAD51L1 and RECQL4 that were significantly (p < 0.05) associated with glioblastoma survival.
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18.
  • Wibom, Carl, et al. (författare)
  • EGFR gene variants are associated with specific somatic aberrations in glioma
  • 2012
  • Ingår i: PLOS ONE. - : plosone.org. - 1932-6203. ; 14:Suppl. 3, s. 46-46
  • Tidskriftsartikel (refereegranskat)abstract
    • A number of gene variants have been associated with an increased risk of developing glioma. We hypothesized that the reported risk variants may be associated with tumor genomic instability. To explore potential correlations between germline risk variants and somatic genetic events, we analyzed matched tumor and blood samples from 95 glioma patients by means of SNP genotyping. The generated genotype data was used to calculate genome-wide allele-specific copy number profiles of the tumor samples. We compared the copy number profiles across samples and found two EGFR gene variants (rs17172430 and rs11979158) that were associated with homozygous deletion at the CDKN2A/B locus. One of the EGFR variants (rs17172430) was also associated with loss of heterozygosity at the EGFR locus. Our findings were confirmed in a separate dataset consisting of matched blood and tumor samples from 300 glioblastoma patients, compiled from publically available TCGA data. These results imply there is a functional effect of germline EGFR variants on tumor progression.
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