DKFZ 53 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
[DKFZ-2022-01964] Journal Article
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Coffee Intake, Caffeine Metabolism Genotype, and Survival Among Men with Prostate Cancer.
Coffee intake may lower prostate cancer risk and progression, but postdiagnosis outcomes by caffeine metabolism genotype are not well characterized.To evaluate associations between coffee intake, caffeine metabolism genotype, and survival in a large, multicenter study of men with prostate cancer.Data from The PRACTICAL Consortium database for 5727 men with prostate cancer from seven US, Australian, and European studies were included. The cases included had data available for the CYP1A2 -163C>A rs762551 single-nucleotide variant associated with caffeine metabolism, coffee intake, and >6 mo of follow-up.Multivariable-adjusted Cox proportional hazards models across pooled patient-level data were used to compare the effect of coffee intake (categorized as low [reference], high, or none/very low) in relation to overall survival (OS) and prostate cancer-specific survival (PCSS), with stratified analyses conducted by clinical disease risk and genotype.High coffee intake appeared to be associated with longer PCSS (hazard ratio [HR] 0.85, 95% confidence interval [CI] 0.68-1.08; p = 0.18) and OS (HR 0.90, 95% CI 0.77-1.07; p = 0.24), although results were not statistically significant. [...]
[DKFZ-2022-01865] Journal Article
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Antibody reactivity against Helicobacter pylori proteins in a sample of the Spanish adult population in 2008-2013.
Helicobacter 22(5), e12401 () [10.1111/hel.12401]  GO
Differences in Helicobacter pylori protein expression have been related to the risk of severe gastric diseases. In Spain, a marked geographic pattern in gastric cancer mortality has long been reported.To characterize antibody reactivity patterns against 16 H. [...]
[DKFZ-2022-01007] Journal Article
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Circulating free testosterone and risk of aggressive prostate cancer: prospective and Mendelian randomization analyses in international consortia.
Previous studies had limited power to assess the associations of testosterone with aggressive disease as a primary endpoint. Further, the association of genetically predicted testosterone with aggressive disease is not known. [...]
DBCoverage [DKFZ-2022-00897] Journal Article
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Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study.
eLife 11, e75374 () [10.7554/eLife.75374]  GO
Epigenetic clocks have been associated with cancer risk in several observational studies. Nevertheless, it is unclear whether they play a causal role in cancer risk or if they act as a non-causal biomarker.We conducted a two-sample Mendelian randomization (MR) study to examine the genetically predicted effects of epigenetic age acceleration as measured by HannumAge (nine single-nucleotide polymorphisms (SNPs)), Horvath Intrinsic Age (24 SNPs), PhenoAge (11 SNPs), and GrimAge (4 SNPs) on multiple cancers (i.e. [...]
DBCoverage [DKFZ-2022-00817] Journal Article
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Intake Patterns of Specific Alcoholic Beverages by Prostate Cancer Status.
Cancers 14(8), 1981 () [10.3390/cancers14081981]  GO
Previous studies have shown that different alcoholic beverage types impact prostate cancer (PCa) clinical outcomes differently. However, intake patterns of specific alcoholic beverages for PCa status are understudied. [...]
[DKFZ-2022-00289] Journal Article
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Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score.
Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets.In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. [...]
[DKFZ-2021-01162] Journal Article
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Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer.
Polygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46).180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. [...]
[DKFZ-2021-00937] Journal Article
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Heterogeneous associations of polyomaviruses and herpesviruses with allergy-related phenotypes in childhood.
Evidence suggests a complex interplay between infections and allergic diseases.To explore the association of fourteen common viruses with eczema, asthma and rhinoconjunctivitis in childhood.We used cross-sectional (n=686) and prospective (n=440) data from children participating in the Rhea birth cohort. IgG to polyomaviruses (BKPyV, JCPyV, KIPyV, WUPyV, HPyV6, HPyV7, TSPyV, MCPyV, HPyV9, HPyV10) and herpesviruses (EBV, CMV, HSV-1, HSV-2) were measured at age four by fluorescent bead-based multiplex serology. [...]
DBCoverage [DKFZ-2021-00488] Journal Article
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Polygenic hazard score is associated with prostate cancer in multi-ethnic populations.
Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. [...]
DBCoverage [DKFZ-2021-00266] Journal Article
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A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer.
Pancreatic cancer (PC) is a complex disease in which both non-genetic and genetic factors interplay. To date, 40 GWAS hits have been associated with PC risk in individuals of European descent, explaining 4.1% of the phenotypic variance.We complemented a new conventional PC GWAS (1D) with genome spatial autocorrelation analysis (2D) permitting to prioritize low frequency variants not detected by GWAS. [...]

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