Nikolaus Becker

German Cancer Research Center, Heidelburg, Baden-Württemberg, Germany

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Publications (185)797.73 Total impact

  • Cancer Epidemiology Biomarkers & Prevention 09/2015; DOI:10.1158/1055-9965.EPI-15-0534 · 4.13 Impact Factor
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    ABSTRACT: Various occupations have been associated with an elevated NHL risk but results have been inconsistent across studies. To investigate occupational risk of non-Hodgkin lymphoma (NHL) and four common NHL subtypes with particular focus on occupations of a priori interest. We conducted a pooled analysis of 10,046 cases and 12,025 controls from 10 NHL studies participating in the InterLymph Consortium. We harmonized the occupational coding using the 1968 International Standard Classification of Occupations (ISCO) and grouped occupations previously associated with NHL into 25 a priori groups. Odds ratios (OR), adjusted for center, age and sex were determined for NHL overall and the subtypes diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) and peripheral T-cell lymphoma (PTCL). We confirmed previously reported positive associations between NHL and farming occupations (field crop/vegetable farm workers OR = 1.26; 95% confidence interval (CI): 1.05, 1.51; general farm workers OR = 1.19, 95% CI: 1.03, 1.37), and with specific occupations as women's hairdressers (OR = 1.34; 95% CI: 1.02, 1.74), charworkers/cleaners (OR = 1.17; 95% CI: 1.01, 1.36), spray-painters (OR = 2.07; 95% CI: 1.30, 3.29), electrical wiremen (OR = 1.24; 95% CI: 1.00, 1.54), and carpenters (OR = 1.42; 95% CI: 1.04, 1.93). We observed subtype specific associations for DLBCL and CLL/SLL in women's hairdressers and for DLBCL and PTCL in textile workers. Our pooled analysis of 10 international studies adds to evidence suggesting that farming, hairdressing, and textile industry-related exposures may contribute to NHL risk. Associations with women's hairdresser and textile occupations may be specific for certain NHL subtypes.
    Environmental Health Perspectives 09/2015; DOI:10.1289/ehp.1409294 · 7.98 Impact Factor
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    ABSTRACT: The REAL classification of 1994 and the subsequent WHO classification of 2001 can be considered a breakthrough of international harmonization of lymphoma characterization, terminology and codification. These efforts promised to produce internationally comparable cancer registry data in the future. However, in practice discrepancies of usage of these classifications occurred which hamper comparability of registration outcome and must be taken into account by epidemiologic research. In order to analyze such discrepancies, we used the assignment recommendations of the World Health Organisation 2008, InterLymph 2010, European Network of Cancer Registry 2009 and Surveillance, Epidemiology, and End Results Program 2010 for lymphoid neoplasms in groups and major NHL groups. We used data of the Federal State Cancer Registry of Baden-Wuerttemberg 2010-2011 to test differences in incidence outcome when evaluated according to the different recommendations of these institutions. Depending on the recommendations of the above institutions, extraction of lymphoid neoplasms provided 4021, 4295, 3873 and 3848 incident cases, respectively. Case numbers for some major NHL groups diverge substantially by recommendation. Epidemiologists must be aware of potential discrepancies in coding conventions of cancer registries and have to consider them in comparative data analyses. Cancer registries should make transparent which recommendations were applied for lymphoma codification, currently and in the past. Conversion rules should be offered to ascertain proper mapping of lymphoma entities which were coded under varying coding practices over time.
    Journal of Cancer Research and Clinical Oncology 07/2015; DOI:10.1007/s00432-015-2017-z · 3.08 Impact Factor
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    ABSTRACT: Lung cancer risk prediction models are considered more accurate than the eligibility criteria based on age and smoking in identification of high-risk individuals for screening. We externally validated four lung cancer risk prediction models (Bach, Spitz, LLP, and PLCOM2012) among 20,700 ever smokers in the EPIC-Germany cohort. High-risk subjects were identified using the eligibility criteria applied in clinical trials (NELSON/LUSI, DLCST, ITALUNG, DANTE, and NLST) and the four risk prediction models. Sensitivity, specificity, and positive predictive value (PPV) were calculated based on the lung cancers diagnosed in the first 5 years of follow-up. Decision curve analysis was performed to compare net benefits. The number of high-risk subjects identified by the eligibility criteria ranged from 3,409 (NELSON/LUSI) to 1,458 (NLST). Among the eligibility criteria, the DLCST produced the highest sensitivity (64.13%), whereas the NLST produced the highest specificity (93.13%) and PPV (2.88%). The PLCOM2012 model showed the best performance in external validation (C-index: 0.81, 95% CI 0.76, 0.86; E/O: 1.03, 95% CI: 0.87, 1.23) and the highest sensitivity, specificity, and PPV, but the superiority over the Bach model and the LLP model was modest. All the models but the Spitz model showed greater net benefit over the full range of risk estimates than the eligibility criteria. We concluded that all of the lung cancer risk prediction models apart from the Spitz model have a similar accuracy to identify high-risk individuals for screening but in general outperform the eligibility criteria used in the screening trials. Copyright © 2015, American Association for Cancer Research.
    Cancer Prevention Research 06/2015; 8(9). DOI:10.1158/1940-6207.CAPR-14-0424 · 4.44 Impact Factor
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    ABSTRACT: The German Lung Cancer Screening Intervention Trial (LUSI) is one of the European randomized trials investigating the efficacy of low-dose multislice CT (MSCT) as a screening tool for lung cancer. In the evaluation of the first (prevalence) screening round, we observed exceptionally high early recall rates which made the routine application of MSCT screening questionable. Since screening may behave differently in subsequent (incidence) screening rounds, we analyzed (a) basic characteristics for the annual rounds 2-4 which have now also been completed, and (b) the first 3 years with complete follow-up since time of randomization. Data material was the data record of LUSI after the fourth screening round and the 3-years follow-up had been completed. Basic characteristics of screening, e.g. early recall rate, detection rate, interval cancers as well of proportion of advanced cancers were descriptively evaluated and, if informative, group differences tested for statistical significance. Early recall rates were significantly lower in the subsequent screening rounds than in the first one if the MSCT information from the previous screening rounds was available. Detection and biopsy rates were around 1% or lower, ratio of malignant:benign biopsies 1:1.6-1:3. Our recent data may settle one concern regarding high recall rates in routine MSCT screening, but also indicate that screening must be strictly organized in order to be effective. Performance indicators are similar to those in mammography screening. Nevertheless, possible consequences for the participants (diagnostic workup of suspicious findings, biopsies) are more invasive than in mammography screening.
    Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer 03/2015; DOI:10.1097/JTO.0000000000000530 · 5.28 Impact Factor
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    ABSTRACT: Background: Incidence rates of lymphoma are usually higher in men than in women, and oestrogens may protect against lymphoma. Methods: We evaluated occupational exposure to endocrine disrupting chemicals (EDCs) among 2457 controls and 2178 incident lymphoma cases and subtypes from the European Epilymph study. Results: Over 30 years of exposure to EDCs compared to no exposure was associated with a 24% increased risk of mature B-cell neoplasms (P-trend=0.02). Associations were observed among men, but not women. Conclusions: Prolonged occupational exposure to endocrine disruptors seems to be moderately associated with some lymphoma subtypes.
    British Journal of Cancer 03/2015; 112(7). DOI:10.1038/bjc.2015.83 · 4.84 Impact Factor
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    ABSTRACT: Autoimmune conditions and immune system-related genetic variations are associated with risk of non-Hodgkin lymphoma (NHL). In a pooled analysis of 8,692 NHL cases and 9,260 controls from 14 studies (1988-2007) within the International Lymphoma Epidemiology Consortium, we evaluated the interaction between immune system genetic variants and autoimmune conditions in NHL risk. We evaluated the immunity-related single nucleotide polymorphisms rs1800629 (tumor necrosis factor gene (TNF) G308A), rs1800890 (interleukin-10 gene (IL10) T3575A), rs6457327 (human leukocyte antigen gene (HLA) class I), rs10484561 (HLA class II), and rs2647012 (HLA class II)) and categorized autoimmune conditions as primarily mediated by B-cell or T-cell responses. We constructed unconditional logistic regression models to measure associations between autoimmune conditions and NHL with stratification by genotype. Autoimmune conditions mediated by B-cell responses were associated with increased NHL risk, specifically diffuse large B-cell lymphoma (odds ratio (OR) = 3.11, 95% confidence interval (CI): 2.25, 4.30) and marginal zone lymphoma (OR = 5.80, 95% CI: 3.82, 8.80); those mediated by T-cell responses were associated with peripheral T-cell lymphoma (OR = 2.14, 95% CI: 1.35, 3.38). In the presence of the rs1800629 AG/AA genotype, B-cell-mediated autoimmune conditions increased NHL risk (OR = 3.27, 95% CI: 2.07, 5.16; P-interaction = 0.03) in comparison with the GG genotype (OR = 1.82, 95% CI: 1.31, 2.53). This interaction was consistent across major B-cell NHL subtypes, including marginal zone lymphoma (P-interaction = 0.02) and follicular lymphoma (P-interaction = 0.04). © The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail:
    American Journal of Epidemiology 02/2015; 181(6). DOI:10.1093/aje/kwu290 · 5.23 Impact Factor
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    ABSTRACT: Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
    Nature Communications 01/2015; 6:5751. DOI:10.1038/ncomms6751 · 11.47 Impact Factor
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    ABSTRACT: Background: Past investigations of cigarette smoking and multiple myeloma have been underpowered to detect moderate associations, particularly within subgroups. To clarify this association we conducted a pooled analysis of nine case-control studies in the International Multiple Myeloma Consortium, with individual-level questionnaire data on cigarette smoking history and other covariates. Methods: Using a pooled population of 2,670 cases and 11,913 controls, we computed odds ratios (ORs) and 95% confidence intervals (CIs) relating smoking to multiple myeloma risk using unconditional logistic regression adjusting for gender, age group, race, education, body mass index, alcohol consumption, and study center. Results: Neither ever smokers (OR=0.95, 95% CI 0.87-1.05), current smokers (OR=0.82, 95% CI 0.73-0.93), nor former smokers (OR=1.03, 95% CI 0.92-1.14) had increased risks of multiple myeloma compared to never smokers. Analyses of smoking frequency, pack-years, and duration did not reveal significant or consistent patterns, and there was no significant effect modification by subgroups. Conclusion: Findings from this large pooled analysis do not support the hypothesis of cigarette smoking as a causal factor for multiple myeloma. Impact: Cigarette smoking is one of the most important risk factors for cancer, but the association with multiple myeloma was inconclusive. This study had excellent power to detect modest associations, and had individual-level data to evaluate confounding and effect modification by potentially important factors that were not evaluated in previous studies. Our findings confirm that smoking is not a risk factor for multiple myeloma. Copyright © 2014, American Association for Cancer Research.
    Cancer Epidemiology Biomarkers & Prevention 12/2014; 24(3). DOI:10.1158/1055-9965.EPI-14-1145 · 4.13 Impact Factor
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    ABSTRACT: Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10(-10)) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10(-8)) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRβ1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10(-67) to 2.67 × 10(-70)). Additional independent signals included rs17203612 in HLA class II (odds ratio [ORper-allele] = 1.44; p = 4.59 × 10(-16)) and rs3130437 in HLA class I (ORper-allele = 1.23; p = 8.23 × 10(-9)). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk.
    The American Journal of Human Genetics 10/2014; 95(4):462-71. DOI:10.1016/j.ajhg.2014.09.004 · 10.93 Impact Factor
  • Cancer Research 10/2014; 74(19 Supplement):5071-5071. DOI:10.1158/1538-7445.AM2014-5071 · 9.33 Impact Factor
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    ABSTRACT: Previous epidemiological studies suggest an inverse association between allergies, marked by elevated IgE levels, and non-Hodgkin lymphoma (NHL) risk. The evidence, however, is inconsistent and prospective data are sparse. We examined the association between pre-diagnostic total (low: <20; intermediate: 20 to 100; high >100 kU/l) and specific IgE (negative: <0.35; positive ≥0.35 kU/I) concentrations against inhalant antigens and lymphoma risk in a study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. 1021 incident cases and matched controls of NHL, multiple myeloma (MM) and Hodgkin lymphoma (HL) with a mean follow-up time of 7 years were investigated. Multivariate adjusted odds ratios (ORs) with 95% confidence intervals (CI) were calculated by conditional logistic regression. Specific IgE was not associated with the risk of MM, B-NHL and B-NHL subtypes. In contrast, total IgE levels were inversely associated with the risk of MM (high level: OR=0.40 [95%CI=0.21-0.79]) and B-NHL (intermediate level: OR=0.68 [95%CI=0.53-0.88]; high level: OR=0.62 [95%CI=0.44-0.86]), largely on the basis of a strong inverse association with chronic lymphocytic leukaemia (CLL) (intermediate level: OR=0.49 [95%CI=0.30-0.80]; high level: OR=0.13 [95%CI=0.05-0.35]) risk. The inverse relationship for CLL remained significant for those diagnosed 5 years after baseline. The findings of this large prospective study demonstrated significantly lower prediagnostic total IgE levels among CLL and MM cases compared to matched controls. This corresponds to the clinical immunodeficiency state often observed in CLL patients prior to diagnosis. No support for an inverse association between prediagnostic levels of specific IgE and NHL risk was found.
    Carcinogenesis 09/2014; 35(12). DOI:10.1093/carcin/bgu188 · 5.33 Impact Factor
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    ABSTRACT: Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
    Nature Genetics 09/2014; 46(11). DOI:10.1038/ng.3105 · 29.35 Impact Factor
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    ABSTRACT: We aimed to describe the utilization of colonoscopy and its association with sociodemographic characteristics within the European Prospective Investigation into Cancer and Nutrition (EPIC)-Heidelberg cohort study. We included 15 014 study participants (43% men) of the EPIC-Heidelberg cohort recruited between 1994 and 1998. At baseline recruitment, as well as in the 3-yearly follow-up surveys, study participants completed questionnaires on lifestyle, socioeconomic background variables, health status, and use of medications and medical services, including colonoscopy examinations. The present analyses focused on participants who completed the question on colonoscopy examination in all follow-up rounds. Our results show that by the end of the fourth follow-up round, more than half of all participants of the EPIC-Heidelberg cohort had had a colonoscopy. Colonoscopy was associated with some socioeconomic and demographic characteristics: a positive association with vocational training level as well as overall socioeconomic status level [International Standard Classification of Education (ISCED) classification]. A negative association was found for household size and employment status. Colonoscopy usage increased steeply within the subgroup of participants older than 55 years of age and decreased again within the subgroup of participants older than 75 years of age. Organized colorectal cancer screening should include a written invitation system, to overcome the problem of sociodemographic-related differential awareness of and attendance at colonoscopy examinations. Also, the high proportion of prescreened individuals should be taken into account to avoid unnecessary re-examinations.
    European journal of cancer prevention: the official journal of the European Cancer Prevention Organisation (ECP) 09/2014; 24(2). DOI:10.1097/CEJ.0000000000000080 · 3.03 Impact Factor
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    ABSTRACT: Background: Marginal zone lymphoma (MZL), comprised of nodal, extranodal, and splenic subtypes, accounts for 5%-10% of non-Hodgkin lymphoma cases. A detailed evaluation of the independent effects of risk factors for MZL and its subtypes has not been conducted. Methods: Data were pooled from 1052 MZL cases (extranodal [EMZL] = 633, nodal [NMZL] = 157, splenic [SMZL] = 140) and 13766 controls from 12 case-control studies. Adjusted unconditional logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs). Results: Novel findings for MZL subtypes include increased risk for B-cell activating autoimmune conditions (EMZL OR = 6.40, 95% CI = 4.24 to 9.68; NMZL OR = 7.80, 95% CI = 3.32 to 18.33; SMZL OR = 4.25, 95% CI = 1.49 to 12.14), hepatitis C virus seropositivity (EMZL OR = 5.29, 95% CI = 2.48 to 11.28), self-reported peptic ulcers (EMZL OR = 1.83, 95% CI = 1.35 to 2.49), asthma without other atopy (SMZL OR = 2.28, 95% CI = 1.23 to 4.23), family history of hematologic cancer (EMZL OR = 1.90, 95% CI = 1.37 to 2.62) and of non-Hodgkin lymphoma (NMZL OR = 2.82, 95% CI = 1.33 to 5.98), permanent hairdye use (SMZL OR = 6.59, 95% CI = 1.54 to 28.17), and occupation as a metalworker (NMZL OR = 3.56, 95% CI = 1.67 to 7.58). Reduced risks were observed with consumption of any alcohol (EMZL fourth quartile OR = 0.48, 95% CI = 0.28 to 0.82) and lower consumption of wine (NMZL first to third quartile ORs < 0.45) compared with nondrinkers, and occupation as a teacher (EMZL OR = 0.58, 95% CI = 0.37 to 0.88). Conclusion: Our results provide new data suggesting etiologic heterogeneity across MZL subtypes although a common risk of MZL associated with B-cell activating autoimmune conditions was found.
    JNCI Monographs 08/2014; 2014(48):52-65. DOI:10.1093/jncimonographs/lgu011
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    ABSTRACT: Background Non-Hodgkin lymphoma (NHL) comprises biologically and clinically heterogeneous subtypes. Previously, study size has limited the ability to compare and contrast the risk factor profiles among these heterogeneous subtypes.
    JNCI Monographs 08/2014; 2014(48):130-144. DOI:10.1093/jncimonographs/lgu013
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    ABSTRACT: Recent genome-wide association studies (GWAS) of Hodgkin lymphoma (HL) have identified associations with genetic variation at both HLA and non-HLA loci; however, much of heritable HL susceptibility remains unexplained. Here we perform a meta-analysis of three HL GWAS totaling 1,816 cases and 7,877 controls followed by replication in an independent set of 1,281 cases and 3,218 controls to find novel risk loci. We identify a novel variant at 19p13.3 associated with HL (rs1860661; odds ratio (OR)=0.81, 95% confidence interval (95% CI)=0.76–0.86, Pcombined=3.5 × 10^(−10)), located in intron 2 of TCF3 (also known as E2A), a regulator of B- and T-cell lineage commitment known to be involved in HL pathogenesis. This meta-analysis also notes associations between previously published loci at 2p16, 5q31, 6p31, 8q24 and 10p14 and HL subtypes. We conclude that our data suggest a link between the 19p13.3 locus, including TCF3, and HL risk.
    Nature Communications 06/2014; 5:3856. DOI:10.1038/ncomms4856 · 11.47 Impact Factor
  • N. Becker
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    ABSTRACT: Epidemiologische Krebsregister sind Einrichtungen, die das Auftreten von Krebskrankheiten in der Bevölkerung eines oder mehrerer Bundesländer in seiner zeitlichen Entwicklung und geografischen Verteilung beschreiben. Zu deren Aufgaben gehört zwangsläufig auch die Bearbeitung mutmaßlicher oder offensichtlicher regionaler Häufungen von Krebsfällen. Die auf den ersten Blick naheliegende Abfolge von Bearbeitungsschritten, a) Feststellung, ob eine Häufung vorliegt, durch einen statistischen Test, b) Suche nach möglichen regionenspezifischen Expositionen als möglichen Ursachen, c) ggf. Durchführung einer ätiologisch-epidemiologischen Studie zur Bestätigung einer vermuteten Assoziation, kann jedoch aufgrund grundsätzlicher methodischer Schwierigkeiten nicht zum Erfolg führen. In diesem Beitrag wird dargelegt, wie die Register mit der „Cluster-Problematik“ auch umgehen können. Sie sollten den Betroffenen und der Politik diese Problematik erklären, den epidemiologischen Wissensstand zur Verursachung von Krebskrankheiten zur Ausräumung von Missverständnissen hinsichtlich möglicher Ursachen regionaler Häufungen darlegen und eventuell professionelle Hilfe in Sachen Risikokommunikation durch Krebsberatungsdienste in Anspruch nehmen.
    Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 01/2014; 57(1). DOI:10.1007/s00103-013-1875-2 · 1.42 Impact Factor
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    ABSTRACT: To investigate the potential of MRI for lung nodule detection in a high-risk population in comparison to low-dose CT. 49 participants (31 men, 18 women, 51-71 years) of the German Lung Cancer Screening and Intervention Trial (LUSI) with a cancer-suspicious lung lesion in CT were examined with non-contrast-enhanced MRI of the lung at 1.5T. Data were pseudonymized and presented at random order together with 30 datasets (23 in men, 7 in women, 18-64 years) from healthy volunteers. Two radiologists read the data for the presence of nodules. Sensitivity and specificity were calculated. Gold standard was either histology or long-term follow-up. Contrast-to-Noise-Ratio (CNR) was measured for all detected lesions in all MRI sequences. Average maximum diameter of the lesions was 15mm. Overall sensitivity and specificity of MRI were 48% (26/54) and 88% (29/33) compared to low-dose CT. Sensitivity of MRI was significantly higher for malignant nodules (78% (12.5/16)) than for benign ones (36% (13.5/38); P=0.007). There was no statistically significant difference in sensitivity between nodules (benign and malignant) larger or smaller than 10mm (P=0.7). Inter observer agreement was 84% (κ=0.65). Lesion-to-background CNR of T2-weighted single-shot turbo-spin-echo was significantly higher for malignant nodules (89±27) than for benign ones (56±23; P=0.002). The sensitivity of MRI for detection of malignant pulmonary nodules in a high-risk population is 78%. Due to its inherent soft tissue contrast, MRI is more sensitive to malignant nodules than to benign ones. MRI may therefore represent a useful test for early detection of lung cancer.
    European journal of radiology 12/2013; 83(3). DOI:10.1016/j.ejrad.2013.11.012 · 2.37 Impact Factor
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    ABSTRACT: In this study, plasma samples from a multicentric case-control study on lymphoma were analyzed for the identification of proteins useful for diagnosis. The protein content in the plasma of 100 patients suffering from the three most common B-cell lymphomas and 100 control samples was studied with antibody microarrays composed of 810 antibodies that target cancer-associated proteins. Sample pools were screened for an identification of marker proteins. Then, the samples were analyzed individually to validate the usability of these markers. More than 200 proteins with disease-associated abundance changes were found. The evaluation on individual patients confirmed some molecules as robust informative markers while others were inadequate for this purpose. In addition, the analysis revealed distinct subgroups for each of the three investigated B-cell lymphoma subtypes. With this information, we delineated a classifier that discriminates the different lymphoma entities. Variations in plasma protein abundance permit discrimination between different patient groups. After validation on a larger study cohort, the findings could have diagnostic as well as differential diagnostic potential. Beside this, methodological aspects were critically evaluated, such as the value of sample pooling for the identification of biomarkers that are useful for a diagnosis on individual patients.
    PROTEOMICS - CLINICAL APPLICATIONS 12/2013; 7(11-12):802-12. DOI:10.1002/prca.201300048 · 2.96 Impact Factor

Publication Stats

4k Citations
797.73 Total Impact Points


  • 1989–2015
    • German Cancer Research Center
      • • Division of Cancer Epidemiology
      • • Division of Clinical Epidemiology and Aging Research
      Heidelburg, Baden-Württemberg, Germany
  • 2014
    • National Cancer Institute (USA)
      • Radiation Epidemiology
      베서스다, Maryland, United States
  • 2013
    • University College Dublin
      • School of Public Health, Physiotherapy & Population Science
      Dublin, Leinster, Ireland
    • Università degli studi di Cagliari
      • Department of Public Health, Clinical and Molecular Medicine
      Cagliari, Sardinia, Italy
  • 2012
    • National Center for Tumor Diseases (NCT) Heidelberg
      Heidelburg, Baden-Württemberg, Germany
  • 2009–2010
    • University of California, Berkeley
      • • School of Public Health
      • • Department of Environmental Health Sciences
      Berkeley, California, United States
  • 1999–2004
    • German Institute of Human Nutrition
      • Department of Epidemiology
      Berlín, Berlin, Germany
  • 2003
    • University of Tampere
      Tammerfors, Pirkanmaa, Finland